ICASSP 2019

AASP-L1.4: TRAINING NEURAL AUDIO CLASSIFIERS WITH FEW DATA
Jordi Pons, Music Technology Group, Universitat Pompeu Fabra, Spain; Joan Serrà, Telefónica Research, Spain; Xavier Serra, Music Technology Group, Universitat Pompeu Fabra, Spain

AASP-L1.5: LEARNING SOUND EVENT CLASSIFIERS FROM WEB AUDIO WITH NOISY LABELS
Eduardo Fonseca, Universitat Pompeu Fabra, Spain; Manoj Plakal, Daniel P. W. Ellis, Google, Inc., United States; Frederic Font, Xavier Favory, Xavier Serra, Universitat Pompeu Fabra, Spain

AASP-L1.6: LEARNING TO MATCH TRANSIENT SOUND EVENTS USING ATTENTIONAL SIMILARITY FOR FEW-SHOT SOUND RECOGNITION
Szu-Yu Chou, Kai-Hsiang Cheng, Academia Sinica, Taiwan; Jyh-Shing Jang, National Taiwan University, Taiwan; Yi-Hsuan Yang, Academia Sinica, Taiwan

AASP-L2: Detection and Classification of Acoustic Scenes and Events II

AASP-L2.1: A COMPARISON OF FIVE MULTIPLE INSTANCE LEARNING POOLING FUNCTIONS FOR SOUND EVENT DETECTION WITH WEAK LABELING
Yun Wang, Juncheng Li, Florian Metze, Carnegie Mellon University, United States

AASP-L2.2: JOINT ACOUSTIC AND CLASS INFERENCE FOR WEAKLY SUPERVISED SOUND EVENT DETECTION
Sandeep Kothinti, Johns Hopkins University, United States; Keisuke Imoto, Ritsumeikan University, Japan; Debmalya Chakrabarty, Gregory Sell, Shinji Watanabe, Mounya Elhilali, Johns Hopkins University, United States

AASP-L2.3: ACOUSTIC EVENT DETECTION FROM WEAKLY LABELED DATA USING AUDITORY SALIENCE
Zuzanna Podwinska, University of Salford, United Kingdom; Iwona Sobieraj, University of Surrey, United Kingdom; Bruno M Fazenda, William J. Davies, University of Salford, United Kingdom; Mark D Plumbley, University of Surrey, United Kingdom

AASP-L2.4: SOUND EVENT DETECTION WITH SEQUENTIALLY LABELLED DATA BASED ON CONNECTIONIST TEMPORAL CLASSIFICATION AND UNSUPERVISED CLUSTERING
Yuanbo Hou, Beijing University of Posts and Telecommunications, China; Qiuqiang Kong, University of Surrey, United Kingdom; Shengchen Li, Beijing University of Posts and Telecommunications, China; Mark D. Plumbley, University of Surrey, United Kingdom

AASP-L2.5: UNIFYING ISOLATED AND OVERLAPPING AUDIO EVENT DETECTION WITH MULTI-LABEL MULTI-TASK CONVOLUTIONAL RECURRENT NEURAL NETWORKS
Huy Phan, University of Kent, United Kingdom; Oliver Y. Chén, University of Oxford, United Kingdom; Philipp Koch, University of Lübeck, Germany; Lam Pham, Ian McLoughlin, University of Kent, United Kingdom; Alfred Mertins, University of Lübeck, Germany; Maarten De Vos, University of Oxford, United Kingdom

AASP-L2.6: ATTENTION-BASED ATROUS CONVOLUTIONAL NEURAL NETWORKS: VISUALISATION AND UNDERSTANDING PERSPECTIVES OF ACOUSTIC SCENES
Zhao Ren, University of Augsburg, Germany; Qiuqiang Kong, University of Surrey, United Kingdom; Jing Han, University of Augsburg, Germany; Mark Plumbley, University of Surrey, United Kingdom; Björn Schuller, University of Augsburg, Germany

AASP-L3: Source Separation and Speech Enhancement I

AASP-L3.1: DEEP GRIFFIN–LIM ITERATION
Yoshiki Masuyama, Kohei Yatabe, Waseda University, Japan; Yuma Koizumi, NTT Corporation, Japan; Yasuhiro Oikawa, Waseda University, Japan; Noboru Harada, NTT Corporation, Japan

AASP-L3.2: THE PHASEBOOK: BUILDING COMPLEX MASKS VIA DISCRETE REPRESENTATIONS FOR SOURCE SEPARATION
Jonathan Le Roux, Gordon Wichern, Mitsubishi Electric Research Laboratories, United States; Shinji Watanabe, Johns Hopkins University, United States; Andy Sarroff, iZotope, United States; John R. Hershey, Google Research, United States

AASP-L3.3: DEEP LEARNING BASED PHASE RECONSTRUCTION FOR SPEAKER SEPARATION: A TRIGONOMETRIC PERSPECTIVE
Zhong-Qiu Wang, Ke Tan, DeLiang Wang, The Ohio State University, United States

AASP-L3.4: LOW-LATENCY DEEP CLUSTERING FOR SPEECH SEPARATION
Shanshan Wang, Gaurav Naithani, Tuomas Virtanen, Tampere University of Technology, Finland

AASP-L3.5: UNSUPERVISED DEEP CLUSTERING FOR SOURCE SEPARATION: DIRECT LEARNING FROM MIXTURES USING SPATIAL INFORMATION
Efthymios Tzinis, Shrikant Venkataramani, University of Illinois at Urbana-Champaign, United States; Paris Smaragdis, University of Illinois at Urbana-Champaign, Adobe Research, United States

AASP-L3.6: SINGLE-CHANNEL SPEECH EXTRACTION USING SPEAKER INVENTORY AND ATTENTION NETWORK
Xiong Xiao, Zhuo Chen, Takuya Yoshioka, Hakan Erdogan, Changliang Liu, Dimitrios Dimitriadis, Jasha Droppo, Yifan Gong, Microsoft, United States

AASP-P1.5: BLIND ROOM VOLUME ESTIMATION FROM SINGLE-CHANNEL NOISY SPEECH
Andrea Genovese, New York University, United States; Hannes Gamper, Microsoft Research, United States; Ville Pulkki, Aalto University, Finland; Nikunj Raghuvanshi, Ivan J. Tashev, Microsoft Research, United States

AASP-P1.6: JOINT TRANSCRIPTION OF LEAD, BASS, AND RHYTHM GUITARS BASED ON A FACTORIAL HIDDEN SEMI-MARKOV MODEL
Kentaro Shibata, Ryo Nishikimi, Graduate School of Informatics, Kyoto University, Japan; Satoru Fukayama, Masataka Goto, National Institute of Advanced Industrial Science and Technology (AIST), Japan; Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, Graduate School of Informatics, Kyoto University, Japan

AASP-P1.7: PIANO SUSTAIN-PEDAL DETECTION USING CONVOLUTIONAL NEURAL NETWORKS
Beici Liang, György Fazekas, Mark Sandler, Queen Mary University of London, United Kingdom

AASP-P1.8: DEEP POLYPHONIC ADSR PIANO NOTE TRANSCRIPTION
Rainer Kelz, Sebastian Böck, Austrian Research Institute for Artificial Intelligence, Austria; Gerhard Widmer, Johannes Kepler University Linz, Austria

AASP-P1.9: ZERO-MEAN CONVOLUTIONAL NETWORK WITH DATA AUGMENTATION FOR SOUND LEVEL INVARIANT SINGING VOICE SEPARATION
Kin Wah Lin, Masataka Goto, National Institute of Advanced Industrial Science and Technology (AIST), Japan

AASP-P1.10: AUTOMATIC TRANSCRIPTION OF DIATONIC HARMONICA RECORDINGS
Filipe Lins, Marcelo Johann, Universidade Federal do Rio Grande do Sul, Brazil; Emmanouil Benetos, Queen Mary University of London, United Kingdom; Rodrigo Schramm, Universidade Federal do Rio Grande do Sul, Brazil

AASP-P2: Music Source Separation and Spatial Audio

AASP-P2.1: IMPROVING BINAURAL AMBISONICS DECODING BY SPHERICAL HARMONICS DOMAIN TAPERING AND COLORATION COMPENSATION
Christoph Hold, Technical University of Berlin, Germany; Hannes Gamper, Microsoft Research, United States; Ville Pulkki, Aalto University, Finland; Nikunj Raghuvanshi, Ivan J. Tashev, Microsoft Research, United States

AASP-P2.2: HEAD RELATED IMPULSE RESPONSE INTERPOLATION AND EXTRAPOLATION USING DEEP BELIEF NETWORKS
Grady Kestler, Shahrokh Yadegari, Qualcomm Institute at University of California, San Diego, United States; David Nahamoo, Pryon AI, United States

AASP-P2.3: AUTOENCODING HRTFS FOR DNN BASED HRTF PERSONALIZATION USING ANTHROPOMETRIC FEATURES
Tzu-Yu Chen, Tzu-Hsuan Kuo, Tai-Shih Chi, National Chiao Tung University, Taiwan

AASP-P2.4: DISTANCE-DEPENDENT MODELING OF HEAD-RELATED TRANSFER FUNCTIONS
Mengfan Zhang, Yue Qiao, Xihong Wu, Tianshu Qu, Peking University, China

AASP-P2.5: SOUNDFIELD RECONSTRUCTION IN REVERBERANT ENVIRONMENTS USING HIGHER-ORDER MICROPHONES AND IMPULSE RESPONSE MEASUREMENTS
Federico Borra, Politecnico di Milano, Italy; Israel Dejene Gebru, Dejan Markovic, Facebook, United States

AASP-P2.6: PROXIMAL DEEP RECURRENT NEURAL NETWORK FOR MONAURAL SINGING VOICE SEPARATION
Weitao Yuan, Shengbei Wang, Xiangrui Li, Tianjin Polytechnic University, China; Masashi Unoki, Japan Advanced Institute of Science and Technology, Japan; Wenwu Wang, University of Surrey, United Kingdom

AASP-P2.7: SEMI-SUPERVISED MONAURAL SINGING VOICE SEPARATION WITH A MASKING NETWORK TRAINED ON SYNTHETIC MIXTURES
Michael Michelashvili, Sagie Benaim, Lior Wolf, Tel-Aviv Univeristy, Israel

AASP-P2.8: A PITCH-AWARE APPROACH TO SINGLE-CHANNEL SPEECH SEPARATION
Ke Wang, Northwestern Polytechnical University, China; Frank K. Soong, Microsoft Research Asia, China; Lei Xie, Northwestern Polytechnical University, China

AASP-P2.9: CLASS-CONDITIONAL EMBEDDINGS FOR MUSIC SOURCE SEPARATION
Prem Seetharaman, Northwestern University, United States; Gordon Wichern, Mitsubishi Electric Research Laboratories, United States; Shrikant Venkataramani, University of Illinois at Urbana-Champaign, United States; Jonathan Le Roux, Mitsubishi Electric Research Laboratories, United States

AASP-P2.10: END-TO-END SOUND SOURCE SEPARATION CONDITIONED ON INSTRUMENT LABELS
Olga Slizovskaia, Pompeu Fabra University, Spain; Leo Kim, University of Waterloo, Canada; Gloria Haro, Emilia Gomez, Pompeu Fabra University, Spain

AASP-P3: Auditory Modeling, Music Information Retrieval and Bioacoustics

AASP-P3.1: A JOINT AUDITORY ATTENTION DECODING AND ADAPTIVE BINAURAL BEAMFORMING ALGORITHM FOR HEARING DEVICES
Wenqiang Pu, Xidian University, China; Jinjun Xiao, Tao Zhang, Starkey Hearing Technologies, United States; Zhi-Quan Luo, The Chinese University of Hong Kong, Shenzhen, China

AASP-P3.2: EXACT DISCRETE-TIME REALIZATIONS OF THE GAMMATONE FILTER
Elizabeth Ren, Hans-Andrea Loeliger, ETH Zurich, Switzerland

AASP-P3.3: HEARING AID-CONTROLLED BEAMFORMER FOR BINAURAL SPEECH ENHANCEMENT USING A MODEL-BASED APPROACH
Mathew Shaji Kavalekalam, Jesper Kjær Nielsen, Mads Græsbøll Christensen, Aalborg University, Denmark; Jesper B. Boldt, GN Hearing, Denmark

AASP-P3.4: PREDICTING THE PRECISION OF ELEVATION LOCALIZATION BASED ON HEAD RELATED TRANSFER FUNCTIONS
Sascha Dick, Jürgen Herre, International Audio Laboratories Erlangen / Fraunhofer IIS, Germany

AASP-P3.5: EVALUATING SALIENCE REPRESENTATIONS FOR CROSS-MODAL RETRIEVAL OF WESTERN CLASSICAL MUSIC RECORDINGS
Frank Zalkow, Stefan Balke, Meinard Müller, International Audio Laboratories Erlangen, Germany

AASP-P3.6: RANDOMLY WEIGHTED CNNS FOR (MUSIC) AUDIO CLASSIFICATION
Jordi Pons, Xavier Serra, Music Technology Group, Universitat Pompeu Fabra, Spain

AASP-P3.7: MID-LEVEL CHORD TRANSITION FEATURES FOR MUSICAL STYLE ANALYSIS
Christof Weiss, Fabian Brand, Meinard Mueller, International Audio Laboratories Erlangen, Germany

AASP-P3.8: UNSUPERVISED LEARNING OF DEEP FEATURES FOR MUSIC SEGMENTATION
Matthew McCallum, Gracenote Inc., United States

AASP-P3.9: CLASSIFICATION OF BIOACOUSTIC SIGNALS WITH TANGENT SINGULAR SPECTRUM ANALYSIS
Lincon Sales de Souza, Bernardo Bentes Gatto, Kazuhiro Fukui, University of Tsukuba, Japan

AASP-P4: Source Separation and Music Information Retrieval

AASP-P4.1: BOOTSTRAPPING SINGLE-CHANNEL SOURCE SEPARATION VIA UNSUPERVISED SPATIAL CLUSTERING ON STEREO MIXTURES
Prem Seetharaman, Northwestern University, United States; Gordon Wichern, Jonathan Le Roux, Mitsubishi Electric Research Laboratories, United States; Bryan Pardo, Northwestern University, United States

AASP-P4.2: ONLINE DEEP ATTRACTOR NETWORK FOR REAL-TIME SINGLE-CHANNEL SPEECH SEPARATION
Cong Han, Yi Luo, Nima Mesgarani, Columbia University in the City of New York, United States

AASP-P4.3: MULTI-MODAL BLIND SOURCE SEPARATION WITH MICROPHONES AND BLINKIES
Robin Scheibler, Nobutaka Ono, Tokyo Metropolitan University, Japan

AASP-P4.4: FASTMNMF: JOINT DIAGONALIZATION BASED ACCELERATED ALGORITHMS FOR MULTICHANNEL NONNEGATIVE MATRIX FACTORIZATION
Nobutaka Ito, Tomohiro Nakatani, NTT Corporation, Japan

AASP-P4.5: INCREMENTAL BINARIZATION ON RECURRENT NEURAL NETWORKS FOR SINGLE-CHANNEL SOURCE SEPARATION
Sunwoo Kim, Mrinmoy Maity, Minje Kim, Indiana University Bloomington, United States

AASP-P4.6: MULTITASK LEARNING FOR FRAME-LEVEL INSTRUMENT RECOGNITION
Yun-Ning Hung, Academia Sinica, Taiwan; Yi-An Chen, KKBOX Inc., Taiwan; Yi-Hsuan Yang, Academia Sinica, Taiwan

AASP-P4.7: ENHANCING MUSIC FEATURES BY KNOWLEDGE TRANSFER FROM USER-ITEM LOG DATA
Donmoon Lee, Jaejun Lee, Seoul National University, Korea (South); Jeongsoo Park, Cochlear.ai, Korea (South); Kyogu Lee, Seoul National University, Korea (South)

AASP-P4.8: TRANSDRUMS: A DRUM PATTERN TRANSFER SYSTEM PRESERVING GLOBAL PATTERN STRUCTURE
Shun Sawada, Future University Hakodate, Japan; Satoru Fukayama, Masataka Goto, National Institute of Advanced Industrial Science and Technology (AIST), Japan; Keiji Hirata, Future University Hakodate, Japan

AASP-P4.9: AUTOMATIC LYRICS-TO-AUDIO ALIGNMENT ON POLYPHONIC MUSIC USING SINGING-ADAPTED ACOUSTIC MODELS
Bidisha Sharma, Chitralekha Gupta, Haizhou Li, Ye Wang, National University of Singapore, Singapore

AASP-P4.10: TUNING FREQUENCY DEPENDENCY IN MUSIC CLASSIFICATION
Yi Qin, ShanghaiTech University, China; Alexander Lerch, Georgia Institute of Technology, United States

AASP-P5: Sensor Array Processing and Auditory Modeling

AASP-P5.1: COGNITIVE-DRIVEN BINAURAL LCMV BEAMFORMER USING EEG-BASED AUDITORY ATTENTION DECODING
Ali Aroudi, Simon Doclo, University of Oldenburg, Germany

AASP-P5.2: DERIVING SPECTRO-TEMPORAL PROPERTIES OF HEARING FROM SPEECH DATA
Lucas Ondel, Brno University of Technology, Czech Republic; Ruizhi Li, Gregory Sell, Hynek Hermansky, Johns Hopkins University, United States

AASP-P5.3: RTF-STEERED BINAURAL MVDR BEAMFORMING INCORPORATING AN EXTERNAL MICROPHONE FOR DYNAMIC ACOUSTIC SCENARIOS
Nico Gößling, Simon Doclo, University of Oldenburg, Germany

AASP-P5.4: ROBUST FULL-SPHERE BINAURAL SOUND SOURCE LOCALIZATION USING INTERAURAL AND SPECTRAL CUES
Benjamin Hammond, Philip J. B. Jackson, University of Surrey, United Kingdom

AASP-P5.5: PROPERTIES AND LIMITS OF THE MINIMUM-NORM DIFFERENTIAL BEAMFORMERS WITH CIRCULAR MICROPHONE ARRAYS
Gongping Huang, Xudong Zhao, Jingdong Chen, Northwestern Polytechnical University, China; Jacob Benesty, University of Quebec, Canada

AASP-P5.6: TRIGONOMETRIC INTERPOLATION BEAMFORMING FOR A CIRCULAR MICROPHONE ARRAY
Christian Schuldt, Google, Inc., Sweden

AASP-P5.7: TIME DIFFERENCE OF ARRIVAL ESTIMATION OF SPEECH SIGNALS USING DEEP NEURAL NETWORKS WITH INTEGRATED TIME-FREQUENCY MASKING
Pasi Pertilä, Mikko Parviainen, Tampere University, Finland

AASP-P5.8: ON THE DESIGN OF FLEXIBLE KRONECKER PRODUCT BEAMFORMERS WITH LINEAR MICROPHONE ARRAYS
Wenxing Yang, Gongping Huang, Norhthwestern Polytechnical University, China; Jacob Benesty, University of Quebec, Canada; Israel Cohen, Israel Institute of Technology, Israel; Jingdong Chen, Norhthwestern Polytechnical University, China

AASP-P5.9: DIRECTION PRESERVING WIENER MATRIX FILTERING FOR AMBISONIC INPUT-OUTPUT SYSTEMS
Adrian Herzog, Emanuël A.P. Habets, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

AASP-P5.10: END-TO-END BINAURAL SOUND LOCALISATION FROM THE RAW WAVEFORM
Paolo Vecchiotti, Università Politecnica delle Marche, Italy; Ning Ma, University of Sheffield, United Kingdom; Stefano Squartini, Università Politecnica delle Marche, Italy; Guy J. Brown, University of Sheffield, United Kingdom

AASP-P6: Music Signal Analysis and Multimedia

AASP-P6.1: BAYESIAN DRUM TRANSCRIPTION BASED ON NONNEGATIVE MATRIX FACTOR DECOMPOSITION WITH A DEEP SCORE PRIOR
Shun Ueda, Kentaro Shibata, Yusuke Wada, Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii, Kyoto University, Japan

AASP-P6.2: A UNIFIED NEURAL ARCHITECTURE FOR INSTRUMENTAL AUDIO TASKS
Steven Spratley, Daniel Beck, Trevor Cohn, The University of Melbourne, Australia

AASP-P6.3: AUTOMATIC SINGING EVALUATION WITHOUT REFERENCE MELODY USING BI-DENSE NEURAL NETWORK
Ning Zhang, Tao Jiang, Feng Deng, Yan Li, Kwai, China

AASP-P6.4: DEEP LEARNING FOR TUBE AMPLIFIER EMULATION
Eero-Pekka Damskägg, Lauri Juvela, Etienne Thuillier, Vesa Välimäki, Aalto University, Finland

AASP-P6.5: INTONATION: A DATASET OF QUALITY VOCAL PERFORMANCES REFINED BY SPECTRAL CLUSTERING ON PITCH CONGRUENCE
Sanna Wager, Indiana University Bloomington, United States; George Tzanetakis, University of Victoria, Canada; Stefan Sullivan, Cheng-i Wang, John Shimmin, Smule, Inc, United States; Minje Kim, Indiana University Bloomington, United States; Perry Cook, Smule, Inc, United States

AASP-P6.6: A MUSIC STRUCTURE INFORMED DOWNBEAT TRACKING SYSTEM USING SKIP-CHAIN CONDITIONAL RANDOM FIELDS AND DEEP LEARNING
Magdalena Fuentes, CNRS-Univ.Paris-Sud-CentraleSupélec, Télécom ParisTech, University Paris-Saclay, France; Brian McFee, New York University, United States; Hélène Crayencour, CNRS-Univ.Paris-Sud-CentraleSupélec, France; Slim Essid, Télécom ParisTech, Univ. Paris-Saclay, France; Juan Pablo Bello, New York University, United States

AASP-P6.7: FUNDAMENTAL FREQUENCY CONTOUR CLASSIFICATION: A COMPARISON BETWEEN HAND-CRAFTED AND CNN-BASED FEATURES
Jakob Abeßer, Fraunhofer IDMT, Germany; Meinard Müller, International Audio Laboratories, Germany

AASP-P6.8: OVERLAP-ADD WINDOWS WITH MAXIMUM ENERGY CONCENTRATION FOR SPEECH AND AUDIO PROCESSING
Tom Bäckström, Aalto University, Finland

AASP-P6.9: TOWARDS AUDIO TO SCENE IMAGE SYNTHESIS USING GENERATIVE ADVERSARIAL NETWORK
Chia-Hung Wan, Shun-Po Chuang, Hung-Yi Lee, National Taiwan University, Taiwan

AASP-P6.10: DISCRIMINATE NATURAL VERSUS LOUDSPEAKER EMITTED SPEECH
Thanh-Ha Le, Eurecom, France; Philippe Gilberton, Quang-Khanh-Ngoc Duong, Technicolor, France

AASP-P6.11: SINGING VOICE SEPARATION: A STUDY ON TRAINING DATA
Laure Prétet, Télécom ParisTech, Deezer, France; Romain Hennequin, Jimena Royo-Letelier, Deezer, France; Andrea Vaglio, Télécom ParisTech, Deezer, France

AASP-P7: Active Noise Control, Source Separation, and System Identification

AASP-P7.1: FEEDFORWARD SPATIAL ACTIVE NOISE CONTROL BASED ON KERNEL INTERPOLATION OF SOUND FIELD
Hayato Ito, Shoichi Koyama, Natsuki Ueno, Hiroshi Saruwatari, The University of Tokyo, Japan

AASP-P7.2: TIME DOMAIN SPHERICAL HARMONIC ANALYSIS FOR ADAPTIVE NOISE CANCELLATION OVER A SPATIAL REGION
Huiyuan Sun, Thushara D. Abhayapala, Prasanga N. Samarasinghe, The Australian National University, Australia

AASP-P7.3: ROBUST SPARSE MULTICHANNEL ACTIVE NOISE CONTROL
Jingli Xie, Danqi Jin, Wen Zhang, Xiao-Lei Zhang, Jie Chen, Northwestern Polytechnical University, China; DeLiang Wang, The Ohio State University, United States

AASP-P7.4: GLOBAL AND LOCAL MODE-DOMAIN ADAPTIVE ALGORITHMS FOR SPATIAL ACTIVE NOISE CONTROL USING HIGHER-ORDER SOURCES
Naoki Murata, Sony Corporation, Japan; Jihui Zhang, The Australian National University, Australia; Yu Maeno, Yuki Mitsufuji, Sony Corporation, Japan

AASP-P7.5: SPATIAL CONSTRAINT ON MULTI-CHANNEL DEEP CLUSTERING
Masahito Togami, Line corporation, Japan

AASP-P7.6: MULTI-CHANNEL ITAKURA SAITO DISTANCE MINIMIZATION WITH DEEP NEURAL NETWORK
Masahito Togami, Line corporation, Japan

AASP-P7.7: SPEECH ENHANCEMENT WITH VARIATIONAL AUTOENCODERS AND ALPHA-STABLE DISTRIBUTIONS
Simon Leglaive, Inria Grenoble Rhône-Alpes, France; Umut Şimşekli, LTCI, Télécom ParisTech, Université Paris-Saclay, France; Antoine Liutkus, INRIA and LIRMM, France; Laurent Girin, Univ. Grenoble Alpes, Grenoble INP, GIPSA-lab, France; Radu Horaud, Inria Grenoble Rhône-Alpes, France

AASP-P7.8: FAST MVAE: JOINT SEPARATION AND CLASSIFICATION OF MIXED SOURCES BASED ON MULTICHANNEL VARIATIONAL AUTOENCODER WITH AUXILIARY CLASSIFIER
Li Li, University of Tsukuba, Japan; Hirokazu Kameoka, NTT Communication Science Laboratories, NTT Corporation, Japan; Shoji Makino, University of Tsukuba, Japan

AASP-P7.9: IMPROVED MULTIPATH TIME DELAY ESTIMATION USING CEPSTRUM SUBTRACTION
Eric L. Ferguson, Stefan B. Williams, Craig T. Jin, The University of Sydney, Australia

AASP-P7.10: ADAPTIVE DEREVERBERATION USING MULTI-CHANNEL LINEAR PREDICTION WITH DEFICIENT LENGTH FILTER
Guanjun Li, Shan Liang, Shuai Nie, Wenju Liu, Institute of Automation, Chinese Academy of Sciences, China

AASP-P8: Spatial Audio, Audio Enhancement and Bandwidth Extension

AASP-P8.1: MODELING CHARACTERISTICS OF REAL LOUDSPEAKERS USING VARIOUS ACOUSTIC MODELS: MODAL-DOMAIN APPROACHES
Yonggang Hu, Prasanga N. Samarasinghe, Thushara D. David, Australian National University, Australia; Glenn Dickins, Dolby Laboratories, Australia

AASP-P8.2: LOW FREQUENCY CROSSTALK CANCELLATION AND ITS RELATIONSHIP TO AMPLITUDE PANNING
Eric Carlos Hamdan, Filippo Maria Fazi, University of Southampton, United Kingdom

AASP-P8.3: COMBINING LINEAR SPATIAL FILTERING AND NON-LINEAR PARAMETRIC PROCESSING FOR HIGH-QUALITY SPATIAL SOUND CAPTURING
Oliver Thiergart, Guendalina Milano, Emanuël A.P. Habets, International Audio Laboratories Erlangen, Germany

AASP-P8.4: SHARPENING OF ANGULAR SPECTRA BASED ON A DIRECTIONAL RE-ASSIGNMENT APPROACH FOR AMBISONIC SOUND-FIELD VISUALISATION
Leo McCormack, Archontis Politis, Ville Pulkki, Aalto University, Finland

AASP-P8.5: ROBUST GRIDLESS SOUND FIELD DECOMPOSITION BASED ON STRUCTURED RECIPROCITY GAP FUNCTIONAL IN SPHERICAL HARMONIC DOMAIN
Yuhta Takida, Shoichi Koyama, Natsuki Ueno, Hiroshi Saruwatari, The University of Tokyo, Japan

AASP-P8.6: A SUBBAND ENERGY MODIFICATION METHOD FOR ELEVATION CONTROL IN MEDIAN PLANE
Dingding Yao, Junfeng Li, Institute of Acoustics, Chinese Academy of Sciences, China; Huaxing Xu, Zhengzhou University, China; Risheng Xia, Yonghong Yan, Institute of Acoustics, Chinese Academy of Sciences, China

AASP-P8.7: A PROPER VERSION OF SYNTHESIS-BASED SPARSE AUDIO DECLIPPER
Pavel Záviška, Pavel Rajmic, Ondřej Mokrý, Brno University of Technology, Czech Republic; Zdeněk Průša, Acoustics Research Institute, Czech Republic

AASP-P8.8: DATA-DRIVEN DESIGN OF PERFECT RECONSTRUCTION FILTERBANK FOR DNN-BASED SOUND SOURCE ENHANCEMENT
Daiki Takeuchi, Kohei Yatabe, Waseda University, Japan; Yuma Koizumi, NTT Corporation, Japan; Yasuhiro Oikawa, Waseda University, Japan; Noboru Harada, NTT Corporation, Japan

AASP-P8.9: AN ANALYSIS OF NOISE-AWARE FEATURES IN COMBINATION WITH THE SIZE AND DIVERSITY OF TRAINING DATA FOR DNN-BASED SPEECH ENHANCEMENT
Robert Rehr, Timo Gerkmann, Universität Hamburg, Germany

AASP-P8.10: LEARNING BANDWIDTH EXPANSION USING PERCEPTUALLY-MOTIVATED LOSS
Berthy Feng, Princeton University, United States; Zeyu Jin, Adobe Research, United States; Jiaqi Su, Adam Finkelstein, Princeton University, United States

AASP-P8.11: DIRECT-TO-REVERBERANT ENERGY RATIO ESTIMATION BASED ON INTERAURAL COHERENCE AND A JOINT ITD/ILD MODEL
Mehdi Zohourian, Rainer Martin, Ruhr-Universität Bochum, Germany

AASP-P8.12: TRAINABLE ADAPTIVE WINDOW SWITCHING FOR SPEECH ENHANCEMENT
Yuma Koizumi, Noboru Harada, NTT Corporation, Japan; Yoichi Haneda, The University of Electro-Communications, Japan

AASP-P9: Quality Measures and Sensor Array Processing

AASP-P9.1: OBJECTIVE ASSESSMENT OF SPATIAL AUDIO QUALITY USING DIRECTIONAL LOUDNESS MAPS
Pablo M. Delgado, International Audio Laboratories Erlangen, Germany; Jürgen Herre, Fraunhofer IIS, Germany

AASP-P9.2: SDR – HALF-BAKED OR WELL DONE?
Jonathan Le Roux, Mitsubishi Electric Research Laboratories, United States; Scott Wisdom, Google Perception AI, United States; Hakan Erdogan, Microsoft Research, United States; John R. Hershey, Google Perception AI, United States

AASP-P9.3: NON-INTRUSIVE SPEECH QUALITY ASSESSMENT USING NEURAL NETWORKS
Anderson R. Avila, Institut national de la recherche scientifique, Canada; Hannes Gamper, Microsoft Research Labs, Canada; Chandan Reddy, Ross Cutler, Microsoft Corporation, Canada; Ivan J. Tashev, Microsoft Research Labs, Canada; Johannes Gehrke, Microsoft Corporation, Canada

AASP-P9.4: IMPROVING DEEP MODELS OF SPEECH QUALITY PREDICTION THROUGH VOICE ACTIVITY DETECTION AND ENTROPY-BASED MEASURES
Jasper Ooster, Bernd T. Meyer, Carl von Ossietzky Universität Oldenburg, Germany

AASP-P9.5: A DOUBLE-CROSS-CORRELATION PROCESSOR FOR BLIND SAMPLING RATE OFFSET ESTIMATION IN ACOUSTIC SENSOR NETWORKS
Aleksej Chinaev, Philipp Thüne, Gerald Enzner, Ruhr-Universität Bochum, Germany

AASP-P9.6: MULTI-CHANNEL WIND NOISE REDUCTION USING THE CORCOS MODEL
Daniele Mirabilii, Emanuël A.P. Habets, International Audio Laboratories Erlangen, Germany

AASP-P9.7: SOUND SOURCE LOCALIZATION IN A REVERBERANT ROOM USING HARMONIC BASED MUSIC
Lachlan Birnie, Thushara D. Abhayapala, Hanchi Chen, Prasanga N. Samarasinghe, The Australian National University, Australia

AASP-P9.8: AN ONLINE MULTIPLE-SPEAKER DOA TRACKING USING THE CAPPE-MOULINES RECURSIVE EXPECTATION-MAXIMIZATION ALGORITHM
Koby Weisberg, Bar-Ilan University, Israel; Ofer Schwartz, CEVA-DSP, Israel; Sharon Gannot, Bar-Ilan University, Israel

AASP-P9.9: DIRECTIONAL INTERFERENCE SUPPRESSION USING A SPATIAL RELATIVE TRANSFER FUNCTION FEATURE
Sebastian Braun, Ivan J. Tashev, Microsoft Corporation, United States

AASP-P9.10: PRACTICAL CONCENTRIC OPEN SPHERE CARDIOID MICROPHONE ARRAY DESIGN FOR HIGHER ORDER SOUND FIELD CAPTURE
Mark R. P. Thomas, Dolby Laboratories, United States

AASP-P10: Audio Security and Source Separation

AASP-P10.1: PRIVACY-AWARE FEATURE EXTRACTION FOR GENDER DISCRIMINATION VERSUS SPEAKER IDENTIFICATION
Alexandru Nelus, Rainer Martin, Institute of Communication Acoustics, Ruhr University Bochum, Germany

AASP-P10.2: DECODING HOMOMORPHICALLY ENCRYPTED FLAC AUDIO WITHOUT DECRYPTION
Yuanyuan Tang, Huazhong University of Science and Technology, China; Bin Zhu, Microsoft Research Asia, China; Xiaojing Ma, Huazhong University of Science and Technology, China; Mathiopoulos P. Takis, University of Athens, China; Xia Xie, Hong Huang, Huazhong University of Science and Technology, China

AASP-P10.3: IMPERCEPTIBLE AUDIO COMMUNICATION
Manuel Eichelberger, Simon Tanner, Gabriel Voirol, Roger Wattenhofer, ETH Zurich, Switzerland

AASP-P10.4: MULTIPATH-ENABLED PRIVATE AUDIO WITH NOISE
Anadi Chaman, Yu-Jeh Liu, Jonah Casebeer, Ivan Dokmanić, University of Illinois at Urbana-Champaign, United States

AASP-P10.5: TEACHER-STUDENT DEEP CLUSTERING FOR LOW-DELAY SINGLE CHANNEL SPEECH SEPARATION
Ryo Aihara, Toshiyuki Hanazawa, Yohei Okato, Mitsubishi Electric Corporation, Japan; Gordon Wichern, Jonathan Le Roux, Mitsubishi Electric Research Laboratories, United States

AASP-P10.6: UNSUPERVISED TRAINING OF A DEEP CLUSTERING MODEL FOR MULTICHANNEL BLIND SOURCE SEPARATION
Lukas Drude, Daniel Hasenklever, Reinhold Haeb-Umbach, Paderborn University, Germany

AASP-P10.7: A QUASI-NEWTON ALGORITHM ON THE ORTHOGONAL MANIFOLD FOR NMF WITH TRANSFORM LEARNING
Pierre Ablin, Inria, Parietal team, Université Paris-Saclay, France; Dylan Fagot, Herwig Wendt, IRIT, Université de Toulouse, CNRS, France; Alexandre Gramfort, Inria, Parietal team, Université Paris-Saclay, France; Cédric Févotte, IRIT, Université de Toulouse, CNRS, France

AASP-P10.8: MULTI-BAND PIT AND MODEL INTEGRATION FOR IMPROVED MULTI-CHANNEL SPEECH SEPARATION
Lianwu Chen, Meng Yu, Dan Su, Dong Yu, Tencent, China

AASP-P10.9: AUGMENTED TIME-FREQUENCY MASK ESTIMATION IN CLUSTER-BASED SOURCE SEPARATION ALGORITHMS
Yi Luo, Nima Mesgarani, Columbia University, United States

AASP-P10.10: TIME-FREQUENCY-MASKING-BASED DETERMINED BSS WITH APPLICATION TO SPARSE IVA
Kohei Yatabe, Waseda University, Japan; Daichi Kitamura, National Institute of Technology, Japan

AASP-P11: Audio Coding and Acoustic Event Detection

AASP-P11.1: SPATIAL AUDIO CODING WITHOUT RECOURSE TO BACKGROUND SIGNAL COMPRESSION
Sina Zamani, Kenneth Rose, University of California, Santa Barbara, United States

AASP-P11.2: AUDIO CODING BASED ON SPECTRAL RECOVERY BY CONVOLUTIONAL NEURAL NETWORK
Seong-Hyeon Shin, Kwangwoon University, Korea (South); Seung Kwon Beack, Taejin Lee, Electronics and Telecommunication Research Institute (ETRI), Korea (South); Hochong Park, Kwangwoon University, Korea (South)

AASP-P11.3: IMMERSIVE AUDIO CODING FOR VIRTUAL REALITY USING A METADATA-ASSISTED EXTENSION OF THE 3GPP EVS CODEC
David McGrath, Dolby Australia Pty Ltd., Australia; Stefan Bruhn, Heiko Purnhagen, Dolby Sweden AB, Sweden; Michael Eckert, Juan Torres, Stefanie Brown, Dolby Australia Pty Ltd., Australia; Dan Darcy, Dolby Laboratories, United States

AASP-P11.4: LOW BIT-RATE SPEECH CODING WITH VQ-VAE AND A WAVENET DECODER
Cristina Garbacea, University of Michigan, United States; Aaron van den Oord, Yazhe Li, DeepMind, United Kingdom; Felicia Lim, Alejandro Luebs, Google, Inc., United States; Oriol Vinyals, Thomas Walters, DeepMind, United Kingdom

AASP-P11.5: PERCEPTUAL AUDIO CODING WITH ADAPTIVE NON-UNIFORM TIME/FREQUENCY TILINGS USING SUBBAND MERGING AND TIME DOMAIN ALIASING REDUCTION
Nils Werner, Bernd Edler, International Audio Laboratories Erlangen, Germany

AASP-P11.6: CONNECTIONIST TEMPORAL LOCALIZATION FOR SOUND EVENT DETECTION WITH SEQUENTIAL LABELING
Yun Wang, Florian Metze, Carnegie Mellon University, United States

AASP-P11.7: SEMI-SUPERVISED ACOUSTIC EVENT DETECTION BASED ON TRI-TRAINING
Bowen Shi, Toyota Technological Institute at Chicago, United States; Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Spyros Matsoukas, Chao Wang, Amazon, United States

AASP-P11.8: A REGION BASED ATTENTION METHOD FOR WEAKLY SUPERVISED SOUND EVENT DETECTION AND CLASSIFICATION
Jie Yan, Yan Song, Wu Guo, Li-Rong Dai, University of Science and Technology of China, China; Ian McLoughlin, University of Kent, United Kingdom; Liang Chen, Anhui Science and Technology Research Institute, China

AASP-P11.9: SEMI-SUPERVISED TRIPLET LOSS BASED LEARNING OF AMBIENT AUDIO EMBEDDINGS
Nicolas Turpault, INRIA, France; Romain Serizel, Université de Lorraine, France; Emmanuel Vincent, INRIA, France

AASP-P11.10: RECURRENT NEURAL NETWORKS WITH STOCHASTIC LAYERS FOR ACOUSTIC NOVELTY DETECTION
Duong Nguyen, IMT-Atlantique, France; Oliver S. Kirsebom, Fabio Frazao, Dalhousie University, Canada; Ronan Fablet, IMT-Atlantique, France; Stan Matwin, Dalhousie University, Canada

AASP-P12: Sensor Array Processing and Medical Acoustics

AASP-P12.1: ADAPTATION OF MULTIPLE SOUND SOURCE LOCALIZATION NEURAL NETWORKS WITH WEAK SUPERVISION AND DOMAIN-ADVERSARIAL TRAINING
Weipeng He, Petr Motlicek, Jean-Marc Odobez, Idiap Research Institute, Switzerland

AASP-P12.2: MIRAGE: 2D SOURCE LOCALIZATION USING MICROPHONE PAIR AUGMENTATION WITH ECHOES
Diego Di Carlo, Antoine Deleforge, INRIA, France; Nancy Bertin, CNRS, France

AASP-P12.3: FUNCTION DESIGNABLE BEAMFORMER BASED ON PROBABILISTIC ASSUMPTIONS ON FILTER AND ITS AUXILIARY VARIABLES
Ryotaro Sato, Kenta Niwa, Noboru Harada, NTT Corporation, Japan

AASP-P12.4: ESTIMATION OF SAMPLING FREQUENCY MISMATCH BETWEEN DISTRIBUTED ASYNCHRONOUS MICROPHONES UNDER EXISTENCE OF SOURCE MOVEMENTS WITH STATIONARY TIME PERIODS DETECTION
Shoko Araki, NTT Communication Science Laboratories, Japan; Nobutaka Ono, Tokyo Metropolitan University, Japan; Keisuke Kinoshita, Marc Delcroix, NTT Communication Science Laboratories, Japan

AASP-P12.5: MULTIPLE SOUND SOURCE LOCALIZATION WITH RIGID SPHERICAL MICROPHONE ARRAYS VIA RESIDUAL ENERGY TEST
Mert Burkay Coteli, Huseyin Hacihabiboglu, Middle East Technical University, Turkey

AASP-P12.6: JOINT ESTIMATION OF RETF VECTOR AND POWER SPECTRAL DENSITIES FOR SPEECH ENHANCEMENT BASED ON ALTERNATING LEAST SQUARES
Marvin Tammen, University of Oldenburg, Germany; Ina Kodrasi, Idiap Research Institute, Switzerland; Simon Doclo, University of Oldenburg, Germany

AASP-P12.7: CO-PRIME CIRCULAR MICROPHONE ARRAYS AND THEIR APPLICATION TO DIRECTION OF ARRIVAL ESTIMATION OF SPEECH SOURCES
Jiahong Zhao, Christian Ritz, University of Wollongong, Australia

AASP-P12.8: DISTORTIONLESS BEAMFORMING OPTIMIZED WITH L1-NORM MINIMIZATION
Satoru Emura, Shoko Araki, Tomohiro Nakatani, Noboru Harada, NTT Corporation, Japan

AASP-P12.9: MULTIPLE SOUND SOURCE LOCALIZATION WITH STEERED RESPONSE POWER DENSITY AND HIERARCHICAL GRID REFINEMENT
Mert Burkay Coteli, Orhun Olgun, Huseyin Hacihabiboglu, Middle East Technical University (METU), Turkey

AASP-P12.10: QUALITY CONTROL OF VOICE RECORDINGS IN REMOTE PARKINSON'S DISEASE MONITORING USING THE INFINITE HIDDEN MARKOV MODEL
Amir Hossein Poorjam, Aalborg University, Denmark; Yordan P. Raykov, Reham Badawy, Aston University, United Kingdom; Jesper Rindom Jensen, Mads Græsbøll Christensen, Aalborg University, Denmark; Max A. Little, Aston University, United Kingdom

AASP-P12.11: DEEP LEARNING FEATURES FOR ROBUST DETECTION OF ACOUSTIC EVENTS IN SLEEP-DISORDERED BREATHING
Hector E. Romero, Ning Ma, Guy J. Brown, Amy V. Beeston, Madina Hasan, University of Sheffield, United Kingdom

AASP-P13: Acoustic Scene Classification and Music Signal Analysis

AASP-P13.1: ENHANCING SOUND TEXTURE IN CNN-BASED ACOUSTIC SCENE CLASSIFICATION
Yuzhong Wu, Tan Lee, The Chinese University of Hong Kong, Hong Kong SAR of China

AASP-P13.2: DEEP HIDDEN ANALYSIS: A STATISTICAL FRAMEWORK TO PRUNE FEATURE MAPS
Arshdeep Singh, Padmanabhan Rajan, Arnav Bhavsar, Indian Institute of Technology Mandi, India

AASP-P13.3: SUBSPECTRALNET - USING SUB-SPECTROGRAM BASED CONVOLUTIONAL NEURAL NETWORKS FOR ACOUSTIC SCENE CLASSIFICATION
Sai Samarth R Phaye, National University of Singapore, Singapore; Emmanouil Benetos, Queen Mary University of London, United Kingdom; Ye Wang, National University of Singapore, Singapore

AASP-P13.4: AUDIO CAPTION: LISTEN AND TELL
Mengyue Wu, Heinrich Dinkel, Kai Yu, Shanghai Jiao Tong University, China

AASP-P13.5: AN AUDIO SCENE CLASSIFICATION FRAMEWORK WITH EMBEDDED FILTERS AND A DCT-BASED TEMPORAL MODULE
Hangting Chen, Pengyuan Zhang, Yonghong Yan, Key Laboratory of Speech Acoustics & Content Understanding, Institute of Acoustics, China

AASP-P13.6: KULLBACK–LEIBLER DIVERGENCE FREQUENCY WARPING SCALE FOR ACOUSTIC SCENE CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORK
Yuhong Yang, Huiyu Zhang, Weiping Tu, Haojun Ai, Linjun Cai, Ruimin Hu, Wuhan University, China; Fei Xiang, Xiaomi, China

AASP-P13.7: DOMAIN MISMATCH ROBUST ACOUSTIC SCENE CLASSIFICATION USING CHANNEL INFORMATION CONVERSION
Seongkyu Mun, Naver Corp., Korea (South); Suwon Shon, Massachusetts Institute of Technology, Korea (South)

AASP-P13.8: HARMONIC-BAND COMPLEX WAVELET TRANSFORM AUDIO ANALYSIS AND SYNTHESIS
Anthony Gillan, Paul Hill, The University of Bristol, United Kingdom

AASP-P13.9: LOW-RANKNESS OF COMPLEX-VALUED SPECTROGRAM AND ITS APPLICATION TO PHASE-AWARE AUDIO PROCESSING
Yoshiki Masuyama, Kohei Yatabe, Yasuhiro Oikawa, Waseda University, Japan

AASP-P13.10: COMPARING CQT AND REASSIGNMENT BASED CHROMA FEATURES FOR TEMPLATE-BASED AUTOMATIC CHORD RECOGNITION
Ken O'Hanlon, Mark Sandler, Queen Mary University of London, United Kingdom

AASP-P13.11: ANOMALY DETECTION BASED ON AN ENSEMBLE OF DEREVERBERATION AND ANOMALOUS SOUND EXTRACTION
Yohei Kawaguchi, Ryo Tanabe, Takashi Endo, Kenji Ichige, Koichi Hamada, Hitachi Ltd., Japan

AASP-P14: Acoustic Event Detection and Speech Enhancement

AASP-P14.1: SCENE-DEPENDENT ANOMALOUS ACOUSTIC-EVENT DETECTION BASED ON CONDITIONAL WAVENET AND I-VECTOR
Tatsuya Komatsu, NEC Corporation, Japan; Tomoki Hayashi, Nagoya University, Japan; Reishi Kondo, NEC Corporation, Japan; Tomoki Toda, Kazuya Takeda, Nagoya University, Japan

AASP-P14.2: TEACHER-STUDENT TRAINING FOR ACOUSTIC EVENT DETECTION USING AUDIOSET
Ruibo Shi, Raymond W. M. Ng, Emotech Labs, United Kingdom; Pawel Swietojanski, The University of New South Wales, Australia

AASP-P14.3: ACTIVE LEARNING FOR EFFICIENT AUDIO ANNOTATION AND CLASSIFICATION WITH A LARGE AMOUNT OF UNLABELED DATA
Yu Wang, Ana Elisa Mendez Mendez, Mark Cartwright, Juan Pablo Bello, New York University, United States

AASP-P14.4: POLYPHONIC SOUND EVENT DETECTION USING CONVOLUTIONAL BIDIRECTIONAL LSTM AND SYNTHETIC DATA-BASED TRANSFER LEARNING
Seokwon Jung, Jungbae Park, Humelo Inc. / Korea Advanced Institute of Science and Technology (KAIST), Korea (South); Sangwan Lee, Korea Advanced Institute of Science and Technology / Humelo Inc., Korea (South)

AASP-P14.5: A MULTI-SPIKE APPROACH FOR ROBUST SOUND RECOGNITION
Qiang Yu, Yanli Yao, Longbiao Wang, Tianjin University, China; Huajin Tang, Sichuan University, China; Jianwu Dang, Tianjin University, China

AASP-P14.6: CROSS EVALUATION OF SPEECH ENHANCEMENT METHODS UNDER DIFFERENT NOISE CONDITIONS
Lara Nahma, Curtin University, Australia; Pei Chee Yong, Nuheara, Australia; Hai Huyen Dam, Sven Nordholm, Curtin University, Australia

AASP-P14.7: DIFFERENTIABLE CONSISTENCY CONSTRAINTS FOR IMPROVED DEEP SPEECH ENHANCEMENT
Scott Wisdom, John R. Hershey, Kevin Wilson, Jeremy Thorpe, Michael Chinen, Brian Patton, Rif Saurous, Google, Inc., United States

AASP-P14.8: A DEEP GENERATIVE MODEL OF SPEECH COMPLEX SPECTROGRAMS
Aditya Arie Nugraha, Kouhei Sekiguchi, Kazuyoshi Yoshii, RIKEN Center for Advanced Intelligence Project, Japan

AASP-P14.9: DNN TRAINING BASED ON CLASSIC GAIN FUNCTION FOR SINGLE-CHANNEL SPEECH ENHANCEMENT AND RECOGNITION
Yanhui Tu, Jun Du, University of Science and Technology of China, China; Chin-Hui Lee, Georgia Institute of Technology, United States

AASP-P14.10: SNIPER: FEW-SHOT LEARNING FOR ANOMALY DETECTION TO MINIMIZE FALSE-NEGATIVE RATE WITH ENSURED TRUE-POSITIVE RATE
Yuma Koizumi, Shin Murata, Noboru Harada, Shoichiro Saito, Hisashi Uematsu, NTT Corporation, Japan

AASP-P15: Spatial Audio Recording and Detection and Classification of Acoustic Scenes and Events

AASP-P15.1: HCU400: AN ANNOTATED DATASET FOR EXPLORING AURAL PHENOMENOLOGY THROUGH CAUSAL UNCERTAINTY
Ishwarya Ananthabhotla, David Ramsay, Joseph Paradiso, Massachusetts Institute of Technology Media Lab - Responsive Environments, United States

AASP-P15.2: ACOUSTIC SCENE GENERATION WITH CONDITIONAL SAMPLERNN
Qiuqiang Kong, University of Surrey, United Kingdom; Yong Xu, Tencent, United States; Turab Iqbal, Yin Cao, Wenwu Wang, Mark Plumbley, University of Surrey, United Kingdom

AASP-P15.3: SOUND-BASED TRANSPORTATION MODE RECOGNITION WITH SMARTPHONES
Lin Wang, Queen Mary University of London, United Kingdom; Daniel Roggen, University of Sussex, United Kingdom

AASP-P15.4: SOUND EVENT ENVELOPE ESTIMATION IN POLYPHONIC MIXTURES
Irene Martín-Morató, Universitat de Valencia, Spain; Annamaria Mesaros, Toni Heittola, Tuomas Virtanen, Tampere University of Technology, Finland; Maximo Cobos, Francesc J. Ferri, Universitat de Valencia, Spain

AASP-P15.5: MULTI-VIEW NETWORKS FOR MULTI-CHANNEL AUDIO CLASSIFICATION
Jonah Casebeer, Zhepei Wang, University of Illinois at Urbana-Champaign, United States; Paris Smaragdis, University of Illinois at Urbana-Champaign; Adobe Research, United States

AASP-P15.6: GUIDED-SPATIO-TEMPORAL FILTERING FOR EXTRACTING SOUND FROM OPTICALLY MEASURED IMAGES CONTAINING OCCLUDING OBJECTS
Risako Tanigawa, Kohei Yatabe, Yasuhiro Oikawa, Waseda University, Japan

AASP-P15.7: SPATIAL-FOURIER RETRIEVAL OF HEAD-RELATED IMPULSE RESPONSES FROM FAST CONTINUOUS-AZIMUTH RECORDINGS IN THE TIME-DOMAIN
Christoph Urbanietz, Gerald Enzner, Ruhr-Universität Bochum, Germany

AASP-P15.8: MEASURING THE SPHERICAL-HARMONIC REPRESENTATION OF A SOUND FIELD USING A CYLINDRICAL ARRAY
Terence Betlehem, Starkey Hearing Technologies, United States; Mark Poletti, Callaghan Innovation, New Zealand

AASP-P15.9: SOUND FIELD RECORDING USING DISTRIBUTED MICROPHONES BASED ON HARMONIC ANALYSIS OF INFINITE ORDER
Natsuki Ueno, Shoichi Koyama, Hiroshi Saruwatari, The University of Tokyo, Japan

AASP-P15.10: HORIZONTAL 3D SOUND FIELD RECORDING AND 2.5D SYNTHESIS WITH OMNI-DIRECTIONAL CIRCULAR ARRAYS
Takuma Okamoto, National Institute of Information and Communications Technology, Japan

AASP-P16: Music Signal Analysis, Feedback and Echo Cancellation and Equalization

AASP-P16.1: IMPROVED MEASUREMENT NOISE COVARIANCE ESTIMATION FOR N-CHANNEL FEEDBACK CANCELLATION BASED ON THE FREQUENCY DOMAIN ADAPTIVE KALMAN FILTER
Jan Franzen, Tim Fingscheidt, Technische Universität Braunschweig, Germany

AASP-P16.2: OBTAINING NARROW TRANSITION REGION IN STFT DOMAIN PROCESSING USING SUBBAND FILTERS
Meng Guo, Oticon A/S, Denmark; Bernhard Kuenzle, Bernafon AG, Switzerland

AASP-P16.3: EFFICIENT NONLINEAR ACOUSTIC ECHO CANCELLATION BY DUAL-STAGE MULTI-CHANNEL KALMAN FILTERING
Matthias Schrammen, Stefan Kühl, RWTH Aachen University, Germany; Shmulik Markovich-Golan, Intel Corporation, Israel; Peter Jax, RWTH Aachen University, Germany

AASP-P16.4: ACOUSTIC EQUALIZATION FOR HEADPHONES USING A FIXED FEED-FORWARD FILTER
Johannes Fabry, Fabio König, Stefan Liebich, Peter Jax, RWTH Aachen University, Germany

AASP-P16.5: PHASE-AWARE HARMONIC/PERCUSSIVE SOURCE SEPARATION VIA CONVEX OPTIMIZATION
Yoshiki Masuyama, Kohei Yatabe, Yasuhiro Oikawa, Waseda University, Japan

AASP-P16.6: A VOCODER BASED METHOD FOR SINGING VOICE EXTRACTION
Pritish Chandna, Merlijn Blaauw, Jordi Bonada, Emilia Gomez, Universitat Pompeu Fabra, Spain

AASP-P16.7: SPARSE GAUSSIAN PROCESS AUDIO SOURCE SEPARATION USING SPECTRUM PRIORS IN THE TIME-DOMAIN
Pablo A. Alvarado, Queen Mary University of London, United Kingdom; Mauricio A. Álvarez, The University of Sheffield, United Kingdom; Dan Stowell, Queen Mary University of London, United Kingdom

AASP-P16.8: VOCAL MELODY EXTRACTION VIA DNN-BASED PITCH ESTIMATION AND SALIENCE-BASED PITCH REFINEMENT
Yongwei Gao, Bilei Zhu, Wei Li, Fudan University, China; Ke Li, Yongjian Wu, Feiyue Huang, Tencent Youtu Lab, China

AASP-P16.9: CNN BASED TWO-STAGE MULTI-RESOLUTION END-TO-END MODEL FOR SINGING MELODY EXTRACTION
Ming-Tso Chen, Bo-Jun Li, Tai-Shih Chi, National Chiao Tung University, Taiwan

BISP-L1: Biomedical Image Analysis

BISP-L1.1: MULTIMODAL RETINAL IMAGE REGISTRATION AND FUSION BASED ON SPARSE REGULARIZATION VIA A GENERALIZED MINIMAX-CONCAVE PENALTY
Xin Tian, Rencheng Zheng, Colin J Chu, Oliver H Bell, Lindsay Nicholson, Alin Achim, University of Bristol, China

BISP-L1.2: ATROUS CONVOLUTION FOR BINARY SEMANTIC SEGMENTATION OF LUNG NODULE
Mohammad Hesam Hesamian, Wenjing Jia, Xiangjian He, Paul J. Kennedy, University of Technology Sydney, Australia

BISP-L1.3: AUTOMATIC SEGMENTATION OF NUCLEI IN HISTOPATHOLOGY IMAGES USING ENCODING-DECODING CONVOLUTIONAL NEURAL NETWORKS
Deniz Sayin Mercadier, Middle East Technical University, Turkey; Beril Besbinar, Pascal Frossard, École Polytechnique Fédérale de Lausanne, Switzerland

BISP-L1.4: DIVING DEEP ONTO DISCRIMINATIVE ENSEMBLE OF HISTOLOGICAL HASHING & CLASS-SPECIFIC MANIFOLD LEARNING FOR MULTI-CLASS BREAST CARCINOMA TAXONOMY
Sawon Pratiher, Indian Institute of Technology Kharagpur, India; Subhankar Chattoraj, Techno India University, India

BISP-L1.5: MULTI-CLASSIFICATION OF BREAST CANCER HISTOLOGY IMAGES BY USING GRAVITATION LOSS
Zhu Meng, Zhicheng Zhao, Fei Su, Beijing University of Posts and Telecommunications, China

BISP-L1.6: BREAST CANCER DETECTION BASED ON MERGING FOUR MODES MRI USING CONVOLUTIONAL NEURAL NETWORKS
Wenhuan Lu, Zhe Wang, Yuqing He, College of Intelligence and Computing, Tianjin University, China; Hong Yu, Center Obstetrics and Gynecology Hospital, China; Naixue Xiong, Colorado Technical University, China; Jianguo Wei, School of Computer Software, Tianjin University, China

BISP-L2: Biomedical Imaging

BISP-L2.1: MAGNETIC RESONANCE FINGERPRINTING USING A RESIDUAL CONVOLUTIONAL NEURAL NETWORK
Pingfan Song, University College London, United Kingdom; Yonina C. Eldar, Gal Mazor, Technion - Israel Institute of Technology, Israel; Miguel Rodrigues, University College London, United Kingdom

BISP-L2.2: SAMIR: SPARSITY AMPLIFIED ITERATIVELY-REWEIGHTED BEAMFORMING FOR HIGH-RESOLUTION ULTRASOUND IMAGING
Amol Ganesh Mahurkar, Praveen Kumar Pokala, Chetan Singh Thakur, Chandra Sekhar Seelamantula, Indian Institute of Science, India

BISP-L2.3: EGO-MOTION ESTIMATION FOR LOW-COST FREEHAND ULTRASOUND SCANNER
Ayusha Abbas, Jeffrey Neasham, Syed Mohsen Naqvi, Newcastle University, United Kingdom

BISP-L2.4: DEEP LEARNING FOR SUPER-RESOLUTION VASCULAR ULTRASOUND IMAGING
Ruud JG van Sloun, Eindhoven University of Technology, Netherlands; Oren Solomon, Technion - Israel Institute of Technology, Israel; Matthew Bruce, Zin Z Khaing, The University of Washington, United States; Yonina C. Eldar, Technion - Israel Institute of Technology, Israel; Massimo Mischi, Eindhoven University of Technology, Netherlands

BISP-L2.5: STRIP THE STRIPES: ARTIFACT DETECTION AND REMOVAL FOR SCANNING ELECTRON MICROSCOPY IMAGING
Amirhossein Khalilian-Gourtani, New York University, United States; Mariano Tepper, Victor Minden, Dmitri B. Chklovskii, Flatiron Institute, United States

BISP-L2.6: LEARNING SPATIALLY-CORRELATED TEMPORAL DICTIONARIES FOR CALCIUM IMAGING
Gal Mishne, Yale University, United States; Adam S. Charles, Princeton University, United States

BISP-L3: Biomedical Signal Processing

BISP-L3.1: BEAMFORMER DESIGN UNDER TIME-CORRELATED INTERFERENCE AND ONLINE IMPLEMENTATION: BRAIN-ACTIVITY RECONSTRUCTION FROM EEG
Takehiro Kono, Masahiro Yukawa, Keio University, Japan; Tomasz Piotrowski, Nicolaus Copernicus University, Poland

BISP-L3.2: COMPUTATIONAL ANALYSIS OF GAZE BEHAVIOR IN AUTISM DURING INTERACTION WITH VIRTUAL AGENTS
Zeeshan Akhtar, IIT Kanpur, India; Tanaya Guha, University of Warwick, United Kingdom

BISP-L3.3: WAVEFORM MODELING BY ADAPTIVE WEIGHTED HERMITE FUNCTIONS
Péter Kovács, Carl Böck, Johannes Kepler University Linz, Austria; Tamás Dózsa, Eötvös Loránd University, Hungary; Jens Meier, Kepler University Hospital, Austria; Mario Huemer, Johannes Kepler University Linz, Austria

BISP-L3.4: A CLUSTERING APPROACH TO CONSTRUCT MULTI-SCALE OVERCOMPLETE DICTIONARIES FOR ECG MODELING
David Meltzer, David Luengo, Universidad Politecnica de Madrid, Spain

BISP-L3.5: SPEECH RECOGNITION WITH NO SPEECH OR WITH NOISY SPEECH
Gautam Krishna, Co Tran, University of Texas at Austin, United States; Jianguo Yu, University of Aizu, Japan; Ahmed Tewfik, University of Texas at Austin, United States

BISP-L3.6: A TIME-FREQUENCY BASED MULTIVARIATE PHASE-AMPLITUDE COUPLING MEASURE
Tamanna Tabassum Khan Munia, Selin Aviyente, Michigan State University, United States

BISP-P1: Neuro Image and Signal Processing

BISP-P1.1: DYNAMICAL COMPONENT ANALYSIS (DYCA) AND ITS APPLICATION ON EPILEPTIC EEG
Katharina Korn, Bastian Seifert, Christian Uhl, Ansbach University of Applied Sciences, Germany

BISP-P1.2: ESTIMATING VIEWED IMAGE CATEGORIES FROM HUMAN BRAIN ACTIVITY VIA SEMI-SUPERVISED FUZZY DISCRIMINATIVE CANONICAL CORRELATION ANALYSIS
Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama, Hokkaido University, Japan

BISP-P1.3: DETECTING ATTENTION SHIFT FROM NEURAL RESPONSE BASED ON BEAT-FREQUENCY-MODULATED MUSICAL EXCERPTS
Takashi G. Sato, Yoshifumi Shiraki, Takehiro Moriya, Nippon Telegraph and Telephone Corporation, Japan

BISP-P1.4: SPEECH ARTIFACT REMOVAL FROM EEG RECORDINGS OF SPOKEN WORD PRODUCTION WITH TENSOR DECOMPOSITION
Holy Lovenia, Bandung Institute of Technology, Indonesia; Hiroki Tanaka, Sakriani Sakti, Nara Institute of Science and Technology, Japan; Ayu Purwarianti, Bandung Institute of Technology, Indonesia; Satoshi Nakamura, Nara Institute of Science and Technology, Japan

BISP-P1.5: SEIZURE DETECTION USING LEAST EEG CHANNELS BY DEEP CONVOLUTIONAL NEURAL NETWORK
Mustafa Talha Avcu, Bilkent University, Turkey; Zhuo Zhang, Institute for Infocomm Research, A*STAR Singapore, Singapore; Wei Shih Derrick Chan, KK Women's and Children's Hospital, Singapore

BISP-P1.6: STATISTICAL PERSISTENT HOMOLOGY OF BRAIN SIGNALS
Yuan Wang, University of South Carolina, United States; Hernando Ombao, King Abdullah University of Science and Technology, Saudi Arabia; Moo K. Chung, University of Wisconsin - Madison, United States

BISP-P1.7: SPIKE DETECTION IN AXONAL-SYNAPTIC CHANNELS WITH MULTIPLE SYNAPSES
Behrouz Maham, Nazarbayev University, Kazakhstan

BISP-P1.8: IDENTIFYING STRUCTURAL BRAIN NETWORKS FROM FUNCTIONAL CONNECTIVITY: A NETWORK DECONVOLUTION APPROACH
Yang Li, Gonzalo Mateos, University of Rochester, United States

BISP-P1.9: SPECTRAL GRAPH WAVELET TRANSFORM AS FEATURE EXTRACTOR FOR MACHINE LEARNING IN NEUROIMAGING
Yusuf Yigit Pilavci, Politecnico di Milano, Italy; Nicolas Farrugia, IMT-Atlantique, France

BISP-P1.10: MOTION ARTEFACT REMOVAL IN FUNCTIONAL NEAR-INFRARED SPECTROSCOPY SIGNALS BASED ON ROBUST ESTIMATION
Mengmeng Wang, Abd-Krim Seghouane, The University of Melbourne, Australia

BISP-P2: Bio Image and Signal Processing

BISP-P2.1: A NOVEL THREE DIMENSIONAL PROBABILITY-BASED CLASSIFIER FOR IMPROVING MOTOR IMAGERY-BASED BCI
Adrian Ashley, Mahnaz Arvaneh, Lyudmila Mihaylova, University of Sheffield, United Kingdom

BISP-P2.2: ATTENTION-BASED TRANSFER LEARNING FOR BRAIN-COMPUTER INTERFACE
Chuanqi Tan, Fuchun Sun, Tao Kong, Bin Fang, Wenchang Zhang, Tsinghua University, China

BISP-P2.3: DETECTION OF NON RANDOM PHASE SIGNAL IN ADDITIVE NOISE WITH SURROGATE ANALYSIS
Manouane Caza-Szoka, Daniel Massicotte, Université du Québec à Trois-Rivières, Canada

BISP-P2.4: ADAPTIVE SUBSPACE DETECTOR IN HIGH DIMENSIONAL SPACE WITH INSUFFICIENT TRAINING DATA
Aref Miri Rekavandi, Abd-Krim Seghouane, Robin J. Evans, The University of Melbourne, Australia

BISP-P2.5: IMPROVED GESTURE RECOGNITION BASED ON SEMG SIGNALS AND TCN
Panagiotis Tsinganos, University of Patras, Greece; Bruno Cornelis, Jan Cornelis, Bart Jansen, Vrije Universiteit Brussel, Belgium; Athanassios Skodras, University of Patras, Greece

BISP-P2.6: RECURRENT 3D CONVOLUTIONAL NETWORK FOR RODENT BEHAVIOR RECOGNITION
Van Anh Le, Kartikeya Murari, University of Calgary, Canada

BISP-P2.7: TRANSFER AND COLLABORATIVE LEARNING METHOD FOR PERSONALIZED NONINVASIVE BLOOD GLUCOSE MEASUREMENT MODELING
Weijie Liu, Anpeng Huang, Ping Wang, Peking University, China; Hebin Yao, Navy General Hospital PLA China, China

BISP-P2.8: AN ATTRIBUTE-INVARIANT VARIATIONAL LEARNING FOR EMOTION RECOGNITION USING PHYSIOLOGY
Hao-Chun Yang, Chi-Chun Lee, National Tsing Hua University, Taiwan

BISP-P2.9: RODENT SLEEP ASSESSMENT WITH A TRAINABLE VIDEO-BASED APPROACH
Van Anh Le, Mitchell Kesler, Jong Rho, Ning Cheng, Kartikeya Murari, University of Calgary, Canada

BISP-P2.10: A NEW FUSION FRAMEWORK FOR MULTIMODAL MEDICAL IMAGE BASED ON GRWT
Dongli Wei, Guixia Kang, Chuan Hu, Beibei Hou, Ningbo Zhang, Yuan Tang, Ministry of Education Beijing University of Posts and Telecommunications, China

BISP-P2.11: DETECTION OF SLEEP APNEA/HYPOPNEA EVENTS USING SYNCHROSQUEEZED WAVELET TRANSFORM
Delaram Jarchi, University of Kent, United Kingdom; Saeid Sanei, Nottingham Trent University, United Kingdom; Ales Prochazka, Institute of Chemical Technology, Technická, Czech Republic

BISP-P3: Bioimaging and Analysis

BISP-P3.1: AUTOMATIC SEGMENTATION OF OPTIC DISC USING AFFINE SNAKES IN GRADIENT VECTOR FIELD
Sidhartha Dey, Kapil Tahiliani, Manipal Institute of Technology, India; J. R. Harish Kumar, Indian Institute of Science and Manipal Institute of Technology, India; Adithya Kumar Pediredla, Rice University, United States; Chandra Sekhar Seelamantula, Indian Institute of Science, India

BISP-P3.2: LOCAL PHASE U-NET FOR FUNDUS IMAGE SEGMENTATION
Sudhakar Kumawat, Shanmuganathan Raman, Indian Institute of Technology Gandhinagar, India

BISP-P3.3: LUNG NODULE DETECTION WITH A 3D CONVNET VIA IOU SELF-NORMALIZATION AND MAXOUT UNIT
Fei Li, Hongyu Huang, Yawen Wu, Fujian Key Laboratory of Sensing and Computing for Smart City, China; Congbo Cai, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, China; Yue Huang, Xinghao Ding, Fujian Key Laboratory of Sensing and Computing for Smart City, China

BISP-P3.4: BREAST CANCER IMAGE CLASSIFICATION ON WSI WITH SPATIAL CORRELATIONS
Jiandong Ye, Yihao Luo, Chuang Zhu, Fang Liu, Beijing University of Posts and Telecommunications, China; Yue Zhang, Haohandata Technology Co., Ltd, China

BISP-P3.5: A DEEP DUAL-PATH NETWORK FOR IMPROVED MAMMOGRAM IMAGE PROCESSING
Heyi Li, Dongdong Chen, William Nailon, Michael Davies, Dave Laurenson, The University of Edinburgh, United Kingdom

BISP-P3.6: SKIN LESION CLASSIFICATION USING HYBRID DEEP NEURAL NETWORKS
Amirreza Mahbod, Medical University of Vienna, Austria; Gerald Schaefer, Loughborough University, United Kingdom; Chunliang Wang, KTH Royal Institute of Technology, Sweden; Rupert Ecker, TissueGnostics GmbH, Austria; Isabella Ellinger, Medical University of Vienna, Austria

BISP-P3.7: DENXFPN: PULMONARY PATHOLOGIES DETECTION BASED ON DENSE FEATURE PYRAMID NETWORKS
Jun Xiao, Yuanxing Zhang, Kaigui Bian, Guopeng Zhou, Wei Yan, Peking University, China

BISP-P3.8: A CASCADE OF CNN AND LSTM NETWORK WITH 3D ANCHORS FOR MITOTIC CELL DETECTION IN 4D MICROSCOPIC IMAGE
Titinunt Kitrungrotsakul, Yutaro Iwamoto, Ritsumeikan University, Japan; Xian-Hau Han, Yamaguchi University, Japan; Satoko Takemoto, Hideo Yokota, RIKEN, Japan; Sari Ipponjima, Tomomi Nemoto, Hokkaido University, Japan; Xiong Wei, Institute for Infocomm Research, Singapore; Yen-Wei Chen, Ritsumeikan University, Japan

BISP-P4: Bioinformatics

BISP-P4.1: TV-DCT: METHOD TO IMPUTE GENE EXPRESSION DATA USING DCT BASED SPARSITY AND TOTAL VARIATION DENOISING
Akanksha Farswan, Anubha Gupta, Indraprastha Institute of Information Technology, New Delhi, India

BISP-P4.2: SALIENCY MAP ON CNNS FOR PROTEIN SECONDARY STRUCTURE PREDICTION
Guillermo Romero Moreno, Mahesan Niranjan, Adam Prugel-Bennett, University of Southampton, United Kingdom

BISP-P4.3: DEEP LATENT FACTOR MODEL FOR PREDICTING DRUG TARGET INTERACTIONS
Aanchal Mongia, Vidit Jain, IIIT Delhi, India; Émilie Chouzenoux, LIGM, Univ. Paris East, France; Angshul Majumdar, IIIT Delhi, India

BISP-P4.4: DETECTION AND AMPLIFICATION OF MOLECULAR SIGNALS USING COOPERATING NANO-DEVICES
Itsik Bergel, Bar Ilan University, Israel

BISP-P4.5: EFFECTIVE AND STABLE NEURON MODEL OPTIMIZATION BASED ON AGGREGATED CMA-ES
Xu Han, Takahiro Shinozaki, Tokyo Institute of Technology, Japan; Ryota Kobayashi, National Institute of Informatics, Japan

BISP-P4.6: DETECTION OF STIMULI CHANGES IN NEURAL EVENTOGRAMS USING THE LINE OF SYNCHRONIZATION OF GLOBAL RECURRENCE PLOTS
George Tzagkarakis, Foundation for Research and Technology-Hellas, Greece; Ganna Palagina, Brigham and Women's Hospital, Harvard Medical School, United States; Ioannis Smirnakis, Foundation for Research and Technology-Hellas, Greece; Stelios Smirnakis, Brigham and Women's Hospital, Harvard Medical School, United States; Maria Papadopouli, Foundation for Research and Technology-Hellas, Institute of Computer Science AND University of Crete, Greece

BISP-P5: Cardiological Signal Processing

BISP-P5.1: BASELINE WANDER REMOVAL AND ISOELECTRIC CORRECTION IN ELECTROCARDIOGRAMS USING CLUSTERING
Kjell Le, Trygve Eftestøl, Kjersti Engan, University of Stavanger, Norway; Øyunn Kleiven, Stavanger University Hospital, Norway; Stein Ørn, Stavanger University Hospital / University of Stavanger, Norway

BISP-P5.2: NON-HARMONIC ANALYSIS BASED INSTANTANEOUS HEART RATE ESTIMATION FROM PHOTOPLETHYSMOGRAPHY
Fangyu Li, WenZhan Song, Changwei Li, University of Georgia, United States; Aiying Yang, Beijing Institute of Technology, China

BISP-P5.3: AN ENSEMBLE OF DEEP RECURRENT NEURAL NETWORKS FOR P-WAVE DETECTION IN ELECTROCARDIOGRAM
Abdolrahman Peimankar, Sadasivan Puthusserypady, Technical University of Denmark, Denmark

BISP-P5.4: EFFICIENT LOSSLESS COMPRESSION SCHEME FOR MULTI-CHANNEL ECG SIGNAL
Tsung-Han Tsai, Fong-Lin Tsai, National Central University, Taiwan

BISP-P5.5: HEART RATE ESTIMATION FROM PHONOCARDIOGRAM SIGNALS USING NON-NEGATIVE MATRIX FACTORIZATION
Nafissa Dia, Julie Fontecave-Jallon, Pierre-Yves Guméry, Université Grenoble Alpes, CNRS, CHU Grenoble Alpes, Grenoble INP, TIMC-IMAG, France; Bertrand Rivet, Université Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab, Grenoble, France, France

BISP-P5.6: LOW-POWER CONTINUOUS HEART AND RESPIRATION RATES MONITORING ON WEARABLE DEVICES
Illya Degtyarenko, Kostyantyn Slyusarenko, Andrii Omelchenko, Volodymyr Riabov, Sviatoslav Chyzhyk, Samsung R&D Institute Ukraine, Ukraine

BISP-P5.7: A LSTM AND CNN BASED ASSEMBLE NEURAL NETWORK FRAMEWORK FOR ARRHYTHMIAS CLASSIFICATION
Fan Liu, Xingshe Zhou, Northwestern Polytechnical University, China; Jinli Cao, La Trobe University, Australia; Zhu Wang, Northwestern Polytechnical University, China; Hua Wang, Yanchun Zhang, Victoria University, Australia

BISP-P5.8: INTER- AND INTRA- PATIENT ECG HEARTBEAT CLASSIFICATION FOR ARRHYTHMIA DETECTION: A SEQUENCE TO SEQUENCE DEEP LEARNING APPROACH
Sajad Mousavi, Fatemeh Afghah, Northern Arizona University, United States

BISP-P5.9: EMPIRICAL WAVELET TRANSFORM BASED LUNG SOUND REMOVAL FROM PHONOCARDIOGRAM SIGNAL FOR HEART SOUND SEGMENTATION
Ajay Babu Kambhampati, Barathram Ramkumar, M Sabarimalai Manikandan, IIT Bhubaneswar, India

BISP-P5.10: SHORT-SEGMENT HEART SOUND CLASSIFICATION USING AN ENSEMBLE OF DEEP CONVOLUTIONAL NEURAL NETWORKS
Fuad Noman, Chee-Ming Ting, Sh-Hussain Salleh, Universiti Teknologi Malaysia, Malaysia; Hernando Ombao, King Abdullah University of Science and Technology, Saudi Arabia

BISP-P6: Medical Imaging and Analysis

BISP-P6.1: SPARSITY-BASED BLIND DECONVOLUTION OF NEURAL ACTIVATION SIGNAL IN FMRI
Hamza Cherkaoui, CEA NeuroSpin, France; Thomas Moreau, INRIA Saclay, France; Abderrahim Halimi, Heriot-Watt University, United Kingdom; Philippe Ciuciu, CEA Neurospin, France

BISP-P6.2: SPEAKER-INDEPENDENT CLASSIFICATION OF PHONETIC SEGMENTS FROM RAW ULTRASOUND IN CHILD SPEECH
Manuel Sam Ribeiro, Aciel Eshky, Korin Richmond, Steve Renals, The University of Edinburgh, United Kingdom

BISP-P6.3: DEEP LEARNING FOR FAST ADAPTIVE BEAMFORMING
Ben Luijten, Eindhoven University of Technology, Netherlands; Regev Cohen, Technion - Israel Institute of Technology, Israel; Frederik J. de Bruijn, Harold A.W. Schmeitz, Philips Research, Netherlands; Massimo Mischi, Eindhoven University of Technology, Netherlands; Yonina C. Eldar, Technion - Israel Institute of Technology, Israel; Ruud JG van Sloun, Eindhoven University of Technology, Netherlands

BISP-P6.4: SUPER-RESOLUTION USING FLOW ESTIMATION IN CONTRAST ENHANCED ULTRASOUND IMAGING
Oren Solomon, Technion, Israel; Ruud JG van Sloun, Massimo Mischi, Eindhoven University of Technology, Netherlands; Yonina C. Eldar, Technion, Israel

BISP-P6.5: LAYOUT-AWARE SUBFIGURE DECOMPOSITION FOR COMPLEX FIGURES IN THE BIOMEDICAL LITERATURE
Xiangyang Shi, Yue Wu, Huaigu Cao, Gully Burns, Prem Natarajan, USC Information Sciences Institute, United States

BISP-P6.6: A PIPELINE FOR LUNG TUMOR DETECTION AND SEGMENTATION FROM CT SCANS USING DILATED CONVOLUTIONAL NEURAL NETWORKS
Shahruk Hossain, Suhail Najeeb, Asif Shahriyar, Zaowad Rahabin Abdullah, Mohammad Ariful Haque, Bangadesh University of Engineering & Technology, Bangladesh

BISP-P6.7: AUTOMATIC SEGMENTATION OF COMMON CAROTID ARTERY IN LONGITUDINAL MODE ULTRASOUND IMAGES USING ACTIVE OBLONGS
J. R. Harish Kumar, Indian Institute of Science and Manipal Institute of Technology, India; Kartik Teotia, P. Kevin Raj, Manipal Institute of Technology, India; Jasbon Andrade, K. V. Rajagopal, Kasturba Medical College, MAHE, India; Chandra Sekhar Seelamantula, Indian Institute of Science, India

BISP-P6.8: AN EVENT-CONTRASTIVE CONNECTOME NETWORK FOR AUTOMATIC ASSESSMENT OF INDIVIDUAL FACE PROCESSING AND MEMORY ABILITY
Wan-Ting Hsieh, Hao-Chun Yang, Fu-Sheng Tsai, National Tsing Hua University, Taiwan; Chon-Wen Shyi, National Chung Cheng University, Taiwan; Chi-Chun Lee, National Tsing Hua University, Taiwan

BISP-P6.9: ON EVALUATING CNN REPRESENTATIONS FOR LOW RESOURCE MEDICAL IMAGE CLASSIFICATION
Taruna Agrawal, Rahul Gupta, Shrikanth Narayanan, University of Southern California, United States

BISP-P6.10: CAPSULE NETWORKS FOR BRAIN TUMOR CLASSIFICATION BASED ON MRI IMAGES AND COARSE TUMOR BOUNDARIES
Parnian Afshar, Concordia University, Canada; Konstantinos N. Plataniotis, University of Toronto, Canada; Arash Mohammadi, Concordia University, Canada

BISP-P6.11: UNMIXING DYNAMIC PET IMAGES: COMBINING SPATIAL HETEROGENEITY AND NON-GAUSSIAN NOISE
Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, Toulouse - INP, France; Cédric Févotte, Institut de Recherche en Informatique de Toulouse, France; Simon Stute, CEA SHJF, France; Clovis Tauber, UMRS Inserm U930 Imagerie et Cerveau, France

BISP-P6.12: MULTI-ATTENTION NETWORK FOR THORACIC DISEASE CLASSIFICATION AND LOCALIZATION
Yanbo Ma, Qiuhao Zhou, Xuesong Chen, Haihua Lu, Yong Zhao, Shenzhen Graduate School of Peking University, China

DISPS-L1: Design and Implementation of Emerging Signal Processing Systems: Machine Learning

DISPS-L1.1: MEMORIZATION CAPACITY OF DEEP NEURAL NETWORKS UNDER PARAMETER QUANTIZATION
Yoonho Boo, Sungho Shin, Wonyong Sung, Seoul National Univeristy, Korea (South)

DISPS-L1.2: STOCHASTIC DATA-DRIVEN HARDWARE RESILIENCE TO EFFICIENTLY TRAIN INFERENCE MODELS FOR STOCHASTIC HARDWARE IMPLEMENTATIONS
Bonan Zhang, Lung-Yen Chen, Naveen Verma, Princeton University, United States

DISPS-L1.3: JOINT OPTIMIZATION OF QUANTIZATION AND STRUCTURED SPARSITY FOR COMPRESSED DEEP NEURAL NETWORKS
Gaurav Srivastava, Deepak Kadetotad, Shihui Yin, Visar Berisha, Chaitali Chakrabarti, Jae-sun Seo, Arizona State University, United States

DISPS-L1.4: REAL-TIME OBJECT DETECTION VIA PRUNING AND A CONCATENATED MULTI-FEATURE ASSISTED REGION PROPOSAL NETWORK
Kuan Hung Shih, Ching-Te Chiu, Yen Yu Pu, National Tsing Hua University, Taiwan

DISPS-L1.5: USING 3D RESIDUAL NETWORK FOR SPATIO-TEMPORAL ANALYSIS OF REMOTE SENSING DATA
Muhammad Ahmed Bhimra, Usman Nazir, Murtaza Taj, LUMS, Pakistan

DISPS-L1.6: ADAPTIVELY WEIGHTED MULTI-TASK LEARNING USING INVERSE VALIDATION LOSS
Waseem Abbas, Mentor-a Siemens Business, Pakistan; Murtaza Taj, Lahore University of Management Sciences, Pakistan

DISPS-L2: Algorithm and Architecture Co-optimization

DISPS-L2.1: LOW-COMPLEXITY RECURRENT NEURAL NETWORK-BASED POLAR DECODER WITH WEIGHT QUANTIZATION MECHANISM
Chieh-Fang Teng, Chen-Hsi (Derek) Wu, Andrew Kuan-Shiuan Ho, An-Yeu (Andy) Wu, National Taiwan University, Taiwan

DISPS-L2.2: HARDWARE-FRIENDLY LDPC DECODING SCHEDULING FOR 5G HARQ APPLICATIONS
Cing-Yi Liang, Mao-Ruei Li, National Tsing Hua University, Taiwan; Huang-Chang Lee, Chang Gung University, Taiwan; Hsin-Yu Lee, Yeong-Luh Ueng, National Tsing Hua University, Taiwan

DISPS-L2.3: LOW-POWER PROGRAMMABLE PROCESSOR FOR FAST FOURIER TRANSFORM BASED ON TRANSPORT TRIGGERED ARCHITECTURE
Jakub Žádník, Jarmo Takala, Tampere University, Finland

DISPS-L2.4: SYSTEM AND VLSI IMPLEMENTATION OF PHASE-BASED VIEW SYNTHESIS
Han-Chih Huang, Yu-Chih Wang, Wei-Chih Chen, Ping-Yen Lin, Chao-Tsung Huang, National Tsing Hua University, Taiwan

DISPS-L2.5: AN ITERATIVE TIME DOMAIN DENOISING METHOD
Peter Tay, Western Carolina University, United States

DISPS-L2.6: HARDWARE-ORIENTED MEMORY-LIMITED ONLINE FASTICA ALGORITHM AND HARDWARE ARCHITECTURE FOR SIGNAL SEPARATION
Lan-Da Van, Tsung-Che Lu, National Chiao Tung University, Taiwan; Tzyy-Ping Jung, University of California, San Diego, United States; Jo-Fu Wang, National Chiao Tung University, Taiwan

DISPS-P1: Design and Implementation of Emerging Signal Processing Systems: Machine Learning / Neuromorphic Computing / IoT

DISPS-P1.1: COMPRESSING DEEP NEURAL NETWORKS USING TOEPLITZ MATRIX: ALGORITHM DESIGN AND FPGA IMPLEMENTATION
Siyu Liao, Rutgers University, United States; Ashkan Samiee, California State University, United States; Chunhua Deng, Rutgers University, United States; Yu Bai, California State University, United States; Bo Yuan, Rutgers University, United States

DISPS-P1.2: A LOW-LATENCY SPARSE-WINOGRAD ACCELERATOR FOR CONVOLUTIONAL NEURAL NETWORKS
Haonan Wang, Wenjian Liu, Tianyi Xu, Jun Lin, Zhongfeng Wang, Nanjing University, China

DISPS-P1.3: WORKLOAD-AWARE AUTOMATIC PARALLELIZATION FOR MULTI-GPU DNN TRAINING
Sungho Shin, Youngmin Jo, Seoul National University, Korea (South); Jungwook Choi, Swagath Venkataramani, Vijayalakshmi Srinivasan, IBM Research AI, United States; Wonyong Sung, Seoul National University, Korea (South)

DISPS-P1.4: OBJECT AND TEXT-GUIDED SEMANTICS FOR CNN-BASED ACTIVITY RECOGNITION
Sungmin Eum, Booz Allen Hamilton / U.S. Army Research Lab, United States; Christopher Reale, Unaffiliated, United States; Heesung Kwon, Claire Bonial, Clare Voss, U.S. Army Research Laboratory, United States

DISPS-P1.5: BLIND MOTION DEBLURRING VIA INCEPTIONRESDENSENET BY USING GAN MODEL
Ze-Ming Chen, Long-Wen Chang, National Tsing Hua University, Taiwan

DISPS-P1.6: REDUCED-COMPLEXITY DEEP NEURAL NETWORK-AIDED CHANNEL CODE DECODER: A CASE STUDY FOR BCH DECODER
Chunhua Deng, Siyu Liao, Bo Yuan, Rutgers University, United States

DISPS-P1.7: ENHANCING BEAMFORMED FINGERPRINT OUTDOOR POSITIONING WITH HIERARCHICAL CONVOLUTIONAL NEURAL NETWORKS
Joao Gante, INESC-ID, IST, Universidade de Lisboa, Portugal; Gabriel Falcao, Instituto de Telecomunicacoes (IT), Portugal; Leonel Sousa, INESC-ID, IST, Universidade de Lisboa, Portugal

DISPS-P1.8: ENHANCING ACOUSTIC SENSORY RESPONSIVENESS BY EXPLOITING BIO-INSPIRED FEEDBACK COMPUTATION
José Guerreiro, Joseph Jackson, James Windmill, University of Strathclyde, United Kingdom

DISPS-P1.9: VARIANCE PRESERVING INITIALIZATION FOR TRAINING DEEP NEUROMORPHIC PHOTONIC NETWORKS WITH SINUSOIDAL ACTIVATIONS
Nikolaos Passalis, George Mourgias-Alexandris, Apostolos Tsakyridis, Nikos Pleros, Anastasios Tefas, Aristotle University of Thessaloniki, Greece

DISPS-P1.10: A SPIKING NEURAL NETWORK APPROACH TO AUDITORY SOURCE LATERALISATION
Robert Luke, David McAlpine, Macquarie University, Australia

DISPS-P1.11: EFFICIENT SIGNAL RECONSTRUCTION VIA DISTRIBUTED LEAST SQUARE OPTIMIZATION ON A SYSTOLIC FPGA ARCHITECTURE
Muya Chang, Samantak Gangopadhyay, Tomer Hamam, Justin Romberg, Arijit Raychowdhury, Georgia Institute of Technology, United States

DISPS-P1.12: LORA DIGITAL RECEIVER ANALYSIS AND IMPLEMENTATION
Reza Ghanaatian, Orion Afisiadis, Matthieu Cotting, Andreas Burg, École Polytechnique Fédérale de Lausanne, Switzerland

DISPS-P2: Algorithm and Architecture Optimization

DISPS-P2.1: EFFICIENT BELIEF PROPAGATION DETECTION BASED ON CHANNEL HARDENING FOR MASSIVE MIMO
Yaping Zhang, Shusen Jing, Zaichen Zhang, Xiaohu You, Chuan Zhang, Southeast University, China

DISPS-P2.2: ACCURACY EVALUATION BASED ON SIMULATION FOR FINITE PRECISION SYSTEMS USING INFERENTIAL STATISTICS
Justine Bonnot, Karol Desnos, Daniel Menard, Univ. Rennes, INSA Rennes, CNRS, IETR - UMR 6164, F-35000 Rennes, France, France

DISPS-P2.3: GPU-BASED IMPLEMENTATION OF BELIEF PROPAGATION DECODING FOR POLAR CODES
Zhanxian Liu, Rongke Liu, Beihang University, China; Zhiyuan Yan, Lehigh University, United States; Ling Zhao, Beihang University, China

DISPS-P2.4: SOLVING MEMORY ACCESS CONFLICTS IN LTE-4G STANDARD
Cyrille Chavet, Lab-STICC / Université Bretagne Sud, France; Fabrice Lozachmeur, Thomas Barguil, Université Bretagne Sud, France; Awais Sani Hussein, Philippe Coussy, Lab-STICC / Université Bretagne Sud, France

DISPS-P2.5: EMG WRIST-HAND MOTION RECOGNITION SYSTEM FOR REAL-TIME EMBEDDED PLATFORM
Sumit Raurale, John McAllister, Jesus Martinez-del-Rincon, Queen's University Belfast, United Kingdom

DISPS-P2.6: ON MODIFIED SQUARED GIVENS ROTATIONS FOR SPHERE DECODER PREPROCESSING
Yun Wu, John McAllister, Queen's University Belfast, United Kingdom

DISPS-P2.7: IN SEARCH OF THE OPTIMAL WALSH-HADAMARD TRANSFORM FOR STREAMED PARALLEL PROCESSING
François Serre, Markus Püschel, ETH Zurich, Switzerland

DISPS-P2.8: AN HETEROGENEOUS COMPILER OF DATAFLOW PROGRAMS FOR ZYNQ PLATFORMS
Endri Bezati, Simone Casale-Brunet, École Polytechnique Fédérale de Lausanne, Switzerland; Romuald Mosqueron, School of Business and Engineering Vaud HES-SO, Switzerland; Marco Mattavelli, École Polytechnique Fédérale de Lausanne, Switzerland

DISPS-P2.9: THE DIRECTION COSINE MATRIX ALGORITHM IN FIXED-POINT: IMPLEMENTATION AND ANALYSIS
Alexandre Meirhaeghe, Jani Boutellier, Jussi Collin, Tampere University, Finland

DISPS-P2.10: A DOUBLE K-BEST VITERBI-SPHERE DECODER FOR TRELLIS-CODED GENERALIZED SPATIAL MODULATION WITH MULTIPLE CODE RATES
Zhe-Yu Wang, Pei-Yun Tsai, National Central University, Taiwan; Yuan-Hao Huang, National Tsing Hua University, Taiwan; I-Wei Lai, National Taiwan Normal University, Taiwan

DISPS-P2.11: CONCRETE: A PER-LAYER CONFIGURABLE FRAMEWORK FOR EVALUATING DNN WITH APPROXIMATE OPERATORS
Zheyu Liu, Guihong Li, Fei Qiao, Qi Wei, Ping Jin, Xinjun Liu, Huazhong Yang, Tsinghua University, China

DISPS-P2.12: CONVEX ENERGY OPTIMIZATION OF STREAMING APPLICATIONS FOR MPSOCS
Erwan Nogues, Univ. Rennes, INSA Rennes, IETR, France; Alexandre Mercat, Tampere University, France; Florian Arrestier, Maxime Pelcat, Daniel Menard, Univ. Rennes, INSA Rennes, IETR, France

DISPS-P3: Signal Processing for Emerging Applications: FinTech/AR-VR/Autonomous Vehicles

DISPS-P3.1: BEYOND WORD-LEVEL TO SENTENCE-LEVEL SENTIMENT ANALYSIS FOR FINANCIAL REPORTS
Chi-Han Du, Academia Sinica, Taiwan; Ming-Feng Tsai, National Chengchi University, Taiwan; Chuan-Ju Wang, Academia Sinica, Taiwan

DISPS-P3.2: SVM-BASED SEAL IMPRINT VERIFICATION USING EDGE DIFFERENCE
Yu Chen Su, Yeong-Luh Ueng, Wei-Ho Chung, National Tsing Hua University, Taiwan

DISPS-P3.3: ENHANCED RECURRENT NEURAL NETWORK FOR COMBINING STATIC AND DYNAMIC FEATURES FOR CREDIT CARD DEFAULT PREDICTION
Te-Cheng Hsu, Shing-Tzuo Liou, Yun-Ping Wang, Yung-Shun Huang, Che Lin, National Tsing Hua University, Taiwan

DISPS-P3.4: FUZZY PERSONALIZED SCORING MODEL FOR RECOMMENDATION SYSTEM
Chao-Lung Yang, Shang-Che Hsu, Kai-Lung Hua, National Taiwan University of Science and Technology, Taiwan; Wen-Huang Cheng, National Chiao Tung University, Taiwan

DISPS-P3.5: POINT CLOUD SEGMENTATION USING HIERARCHICAL TREE FOR ARCHITECTURAL MODELS
Omair Hassaan, Abeera Shamail, Zain Butt, Murtaza Taj, Lahore University of Management Sciences., Pakistan

DISPS-P3.6: PARAMETRIC HEAR THROUGH EQUALIZATION FOR AUGMENTED REALITY AUDIO
Rishabh Gupta, Rishabh Ranjan, NTU, Singapore; Jianjun He, Maxim Integrated, United States; Woon-Seng Gan, NTU, Singapore

DISPS-P3.7: A NOVEL DETERMINISTIC SENSING MATRIX BASED ON KASAMI CODES FOR CLUSTER STRUCTURED SPARSE SIGNALS
Hamid Nouasria, Mohamed Et-Tolba, INPT, Morocco

DISPS-P3.8: PASSIVE DETECTION AND DISCRIMINATION OF BODY MOVEMENTS IN THE SUB-THZ BAND: A CASE STUDY
Sanaz Kianoush, Stefano Savazzi, Vittorio Rampa, National Research Council of Italy-CNR, Italy

IVMSP-L1: Image/Video Coding I

IVMSP-L1.1: NONLINEAR PREDICTION OF MULTIDIMENSIONAL SIGNALS VIA DEEP REGRESSION WITH APPLICATIONS TO IMAGE CODING
Xi Zhang, Shanghai Jiao Tong University, China; Xiaolin Wu, McMaster University, Canada

IVMSP-L1.2: CONVOLUTIONAL NEURAL NETWORKS FOR VIDEO INTRA PREDICTION USING CROSS-COMPONENT ADAPTATION
Maria Meyer, Jonathan Wiesner, Jens Schneider, Christian Rohlfing, RWTH Aachen University, Germany

IVMSP-L1.3: COMPRESSION IMPROVEMENT VIA REFERENCE ORGANIZATION FOR 2D-MULTIVIEW CONTENT
Pavel Nikitin, Orange Labs, France; Marco Cagnazzo, Telecom ParisTech, Laboratoire Traitement et Communication de l'Information, France; Joel Jung, Orange Labs, France

IVMSP-L1.4: MID-DEPTH BASED BLOCK STRUCTURE DETERMINATION FOR AV1
Jiawen Gu, Jiangtao Wen, Tsinghua University, China

IVMSP-L1.5: PIXEL-LEVEL TEXTURE SEGMENTATION BASED AV1 VIDEO COMPRESSION
Di Chen, Qingshuang Chen, Fengqing Zhu, Purdue University, United States

IVMSP-L1.6: FAST INTER-PREDICTION BASED ON DECISION TREES FOR AV1 ENCODING
Jieon Kim, Queen Mary University of London, United Kingdom; Saverio Blasi, Andre Seixas Dias, Marta Mrak, BBC, United Kingdom; Ebroul Izquierdo, Queen Mary University of London, United Kingdom

IVMSP-L2: Video Analysis

IVMSP-L2.1: CAN AUTOMATIC FACIAL EXPRESSION ANALYSIS BE USED FOR TREATMENT OUTCOME ESTIMATION IN SCHIZOPHRENIA?
Mina Bishay, Stefan Priebe, Ioannis Patras, Queen Mary University of London, United Kingdom

IVMSP-L2.2: SIGN LANGUAGE DETECTION “IN THE WILD” WITH RECURRENT NEURAL NETWORKS
Mark Borg, Kenneth P. Camilleri, University of Malta, Malta

IVMSP-L2.3: BOUNDARY INFORMATION MATTERS MORE: ACCURATE TEMPORAL ACTION DETECTION WITH TEMPORAL BOUNDARY NETWORK
Tao Zhang, Peking University, China; Shan Liu, Tencent, China; Thomas Li, Ge Li, Peking University, China

IVMSP-L2.4: BLP - BOUNDARY LIKELIHOOD PINPOINTING NETWORKS FOR ACCURATE TEMPORAL ACTION LOCALIZATION
Weijie Kong, Nannan Li, Peking University, China; Shan Liu, Tencent, China; Thomas Li, Ge Li, Peking University, China

IVMSP-L2.5: RADIAL LOSS FOR LEARNING FINE-GRAINED VIDEO SIMILARITY METRIC
Abhinav Jain, Prerna Agarwal, Shashank Mujumdar, Nitin Gupta, Sameep Mehta, Chiranjoy Chattopadhyay, IBM Research, India

IVMSP-L2.6: LADDERNET: KNOWLEDGE TRANSFER BASED VIEWPOINT PREDICTION IN 360° VIDEO
Pengyu Zhao, Yuanxing Zhang, Kaigui Bian, Peking University, China; Hu Tuo, iQIYI Co. Ltd., China; Lingyang Song, Peking University, China

IVMSP-L3: Image Analysis

IVMSP-L3.1: TWO-B-REAL NET: TWO-BRANCH NETWORK FOR REAL-TIME SALIENT OBJECT DETECTION
Bo Li, Zhengxing Sun, Lv Tang, Anqi Hu, Nanjing University, China

IVMSP-L3.2: LEARNING THE SPIRAL SHARING NETWORK WITH MINIMUM SALIENT REGION REGRESSION FOR SALIENCY DETECTION
Zukai Chen, Xin Tan, Hengliang Zhu, Shanghai Jiao Tong University, China; Shouhong Ding, Tencent Youtu Lab, China; Lizhuang Ma, Shanghai Jiao Tong University, China; Haichuan Song, East China Normal University, China

IVMSP-L3.3: IMAGE RECONSTRUCTION BY ORTHOGONAL MOMENTS DERIVED BY THE PARITY OF POLYNOMIALS
Bo Yang, Wei Tang, Xiaofeng Chen, Northwestern Polytechnical University, China

IVMSP-L3.4: USER CONSTRAINED THUMBNAIL GENERATION USING ADAPTIVE CONVOLUTIONS
Perla Sai Raj Kishore, Institute of Engineering & Management, India; Ayan Kumar Bhunia, Nanyang Technological University, Singapore; Shuvozit Ghose, Institute of Engineering & Management, India; Partha Pratim Roy, Indian Institure of Technology, Roorkee, India

IVMSP-L3.5: DECOUPLING CATEGORY-WISE INDEPENDENCE AND RELEVANCE WITH SELF-ATTENTION FOR MULTI-LABEL IMAGE CLASSIFICATION
Luchen Liu, Malong Technologies, University of Chinese Academy of Sciences, China; Sheng Guo, Weilin Huang, Matthew R. Scott, Malong Technologies, China

IVMSP-L3.6: HIGH ACCURACY IMAGE ROTATION AND SCALE ESTIMATION USING RADON TRANSFORM AND SUB-PIXEL SHIFT ESTIMATION
Takanori Fujisawa, Masaaki Ikehara, Keio University, Japan

IVMSP-L4: Image Restoration

IVMSP-L4.1: LIGHT FIELD DENOISING USING 4D ANISOTROPIC DIFFUSION
Pierre Allain, French Institute for Research in Computer Science and Automation, France; Laurent Guillo, French National Center for Scientific Research, France; Christine Guillemot, French Institute for Research in Computer Science and Automation, France

IVMSP-L4.2: SPATIALLY ADAPTIVE LOSSES FOR VIDEO SUPER-RESOLUTION WITH GANS
Xijun Wang, Alice Lucas, Northwestern University, United States; Santiago Lopez-Tapia, Universidad de Granada, Spain; Xinyi Wu, Northwestern University, United States; Rafael Molina, Universidad de Granada, Spain; Aggelos K. Katsaggelos, Northwestern University, United States

IVMSP-L4.3: IMAGE DEMOSAICKING VIA CHROMINANCE IMAGES WITH PARALLEL CONVOLUTIONAL NEURAL NETWORKS
Takuro Yamaguchi, Masaaki Ikehara, Keio University, Japan

IVMSP-L4.4: MULTI-SPECTRAL IMAGE DENOISING WITH SHARED DICTIONARIES AND LOW-RANK REPRESENTATION
Xiao Gong, Wei Chen, Beijing Jiaotong University, China

IVMSP-L4.5: BAYESIAN IMAGE RESTORATION UNDER POISSON NOISE AND LOG-CONCAVE PRIOR
Maxime Vono, Nicolas Dobigeon, University of Toulouse, France; Pierre Chainais, Centrale Lille, France

IVMSP-L4.6: BLIND DENOISING OF MIXED GAUSSIAN-IMPULSE NOISE BY SINGLE CNN
Ryo Abiko, Masaaki Ikehara, Keio University, Japan

IVMSP-L5: Interpolation and Super-resolution

IVMSP-L5.1: SINGLE IMAGE INTERPOLATION EXPLOITING SEMI-LOCAL SIMILARITY
Lantao Yu, Michael Orchard, Rice University, United States

IVMSP-L5.2: ACCURATE RECONSTRUCTION OF FINITE RATE OF INNOVATION SIGNALS ON THE SPHERE
Yahya Sattar, University of California, Riverside, Pakistan; Zubair Khalid, Lahore University of Management Sciences, Pakistan; Rodney A. Kennedy, Australian National University, Pakistan

IVMSP-L5.3: A NOVEL SUPER-RESOLUTION METHOD BASED ON PATCH RECONSTRUCTION WITH SIMK CLUSTERING AND NONLINEAR MAPPING
Peiqi Duan, Anlong Ming, Xuesong Zhang, Xuejing Kang, Beijing University of Posts and Telecommunications, China

IVMSP-L5.4: PERCEPTUAL QUALITY PRESERVING IMAGE SUPER-RESOLUTION VIA CHANNEL ATTENTION
Wei-Yu Lee, Po-Yu Chuang, MOXA Inc., Taiwan; Yu-Chiang Frank Wang, National Taiwan University, Taiwan

IVMSP-L5.5: MULTI-SCALE DENSE NETWORK FOR SINGLE-IMAGE SUPER-RESOLUTION
Chia-Yang Chang, Shao-Yi Chien, National Taiwan University, Taiwan

IVMSP-L5.6: IMAGE SUPER-RESOLUTION VIA DEEP AGGREGATION NETWORK
Xinya Wang, Jiayi Ma, Wuhan University, China; Junjun Jiang, Harbin Institute of Technology, China

IVMSP-L6: Enhancement and Restoration I

IVMSP-L6.1: A SIMPLE WAY OF MULTIMODAL AND ARBITRARY STYLE TRANSFER
Anh-Duc Nguyen, Seonghwa Choi, Woojae Kim, Sanghoon Lee, Yonsei University, Korea (South)

IVMSP-L6.2: ASYMMETRIC CYCLEGAN FOR UNPAIRED NIR-TO-RGB FACE IMAGE TRANSLATION
Hao Dou, Chen Chen, Xiyuan Hu, Institute of Automation, Chinese Academy of Sciences; University of Chinese Academy of Sciences, China; Silong Peng, Institute of Automation, Chinese Academy of Sciences; University of Chinese Academy of Sciences ; Beijing Visystem Co.Ltd, China

IVMSP-L6.3: TWO-STREAM MULTI-FOCUS IMAGE FUSION BASED ON THE LATENT DECISION MAP
Weihong Zeng, Fei Li, Hongyu Huang, Yue Huang, Xinghao Ding, Xiamen University, China

IVMSP-L6.4: RAIN STREAK REMOVAL VIA MULTI-SCALE MIXTURE EXPONENTIAL POWER MODEL
Xiaofen Wang, Jun Chen, Zhen Han, Wuhan University, China; Mingfu Xiong, Wuhan Textile University, China; Chao Liang, Qi Zheng, Zhongyuan Wang, Wuhan University, China

IVMSP-L6.5: PROPER GUIDANCE IMAGE GENERATION BASED ON SALIENCY FACTOR FOR BETTER TRANSMISSION REFINEMENT IN IMAGE DEHAZING
Libao Zhang, Xiaohan Wang, Beijing Normal University, China

IVMSP-L6.6: HUMAN PERCEPTION ORIENTED IMAGE ENHANCEMENT
Seongbae Bang, Wonha Kim, Kyunghee University, Korea (South)

IVMSP-P1: Image/Video Coding II

IVMSP-P1.1: CONTENT ADAPTIVE WAVELET LIFTING FOR SCALABLE LOSSLESS VIDEO CODING
Daniela Lanz, Christian Herbert, André Kaup, Multimedia Communications and Signal Processing, Germany

IVMSP-P1.2: MULTISOURCE SURVEILLANCE VIDEO CODING BY EXPLOITING 3D AND 2D KNOLWEDGE
Yu Chen, Ruimin Hu, Jing Xiao, Zhongyuan Wang, Wuhan University, China

IVMSP-P1.3: TRANSFORM COEFFICIENT CODING FOR SCREEN CONTENT IN VERSATILE VIDEO CODING (VVC)
Mohsen Abdoli, Felix Henry, Orange Labs, France; Patrice Brault, Frederic Dufaux, Pierre Duhamel, L2S, CentraleSupelec, France

IVMSP-P1.4: IMAGE COMPRESSION USING GMM MODEL OPTIMIZATION
Jianjun Sun, Yan Zhao, Shigang Wang, Jilin University, China

IVMSP-P1.5: CODING TREE EARLY TERMINATION FOR FAST HEVC TRANSRATING BASED ON RANDOM FORESTS
Thiago Bubolz, Federal University of Pelotas, Brazil; Mateus Grellert, Catholic University of Pelotas, Brazil; Bruno Zatt, Guilherme Correa, Federal University of Pelotas, Brazil

IVMSP-P1.6: AN IMAGE CODING APPROACH BASED ON MIXTURE-OF-EXPERTS REGRESSION USING EPANECHNIKOV KERNEL
Boning Liu, Yan Zhao, Xiaomeng Jiang, Shigang Wang, Jilin University, China

IVMSP-P1.7: A NOVEL FRAMEWORK FOR DESIGNING DIRECTIONAL LINEAR TRANSFORMS WITH APPLICATION TO VIDEO COMPRESSION
Maurizio Masera, Giulia Fracastoro, Maurizio Martina, Enrico Magli, Politecnico di Torino, Italy

IVMSP-P1.8: IMPROVING THE RATE-DISTORTION MODEL OF HEVC INTRA BY INTEGRATING THE MAXIMUM ABSOLUTE ERROR
Karina Jaskolka, André Kaup, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

IVMSP-P1.9: LONG TERM BACKGROUND REFERENCE BASED SATELLITE VIDEO CODING
Xu Wang, Ruimin Hu, Zhongyuan Wang, Wuhan University, China; Jing Xiao, Collaborative Innovation Center of Geospatial Technology, China; Yuhui Zhang, Wuhan University, China

IVMSP-P1.10: GENERATIVE ADVERSARIAL NETWORKS BASED ERROR CONCEALMENT FOR LOW RESOLUTION VIDEO
Chong Yang Xiang, Jiajun Xu, Chuan Yan, Qiang Peng, Xiao Wu, Southwest Jiaotong University, China

IVMSP-P1.11: MULTIPLE LINEAR REGRESSION FOR HIGH EFFICIENCY VIDEO INTRA CODING
Zhaobin Zhang, University of Missouri - Kansas City, United States; Yue Li, University of Science and Technology of China, China; Li Li, Zhu Li, University of Missouri - Kansas City, United States; Shan Liu, Tencent America, United States

IVMSP-P1.12: RANDOM FOREST ORIENTED FAST QTBT FRAME PARTITIONING
Thomas Amestoy, Univ Rennes, INSA Rennes, Thales SIX GTS, France; Alexandre Mercat, Tampere University, Finland; Wassim Hamidouche, Univ Rennes, INSA Rennes, France; Cyril Bergeron, Thales SIX GTS France, France; Daniel Menard, Univ Rennes, INSA Rennes, France

IVMSP-P2: Enhancement and Restoration II

IVMSP-P2.1: OPTIMAL FEATURE SELECTION FOR BLIND SUPER-RESOLUTION IMAGE QUALITY EVALUATION
Juan Berón, Hernán Darío Benítez Restrepo, Pontificia Universidad Javeriana, Colombia; Alan C. Bovik, The University of Texas at Austin, United States

IVMSP-P2.2: ALTERNATELY GUIDED DEPTH SUPER-RESOLUTION USING WEIGHTED LEAST SQUARES AND ZERO-ORDER REVERSE FILTERING
Kailong Zhou, Shengtao Yu, Cheolkon Jung, Xidian University, China

IVMSP-P2.3: A CONVEX LIFTING APPROACH TO IMAGE PHASE UNWRAPPING
Laurent Condat, CNRS and University Grenoble Alpes, France; Daichi Kitahara, Akira Hirabayashi, Ritsumeikan University, Japan

IVMSP-P2.4: ROBUST SUPER-RESOLUTION USING MULTIPLE BASES AND 3D FILTERING
Naushad Ansari, Weisi Lin, Nanyang Technological University, Singapore

IVMSP-P2.5: COUPLED ISTA NETWORK FOR MULTI-MODAL IMAGE SUPER-RESOLUTION
Xin Deng, Pier Luigi Dragotti, Imperial College London, United Kingdom

IVMSP-P2.6: MULTISCALE STRUCTURE TENSOR TOTAL VARIATION FOR IMAGE RECOVERY
Makoto Watanabe, The University of Kitakyushu, Japan; Ryo Matsuoka, Kagawa University, Japan; Seisuke Kyochi, The University of Kitakyushu, Japan; Shunsuke Ono, Tokyo Institute of Technology, Japan; Masahiro Okuda, The University of Kitakyushu, Japan

IVMSP-P2.7: CONVOLUTIONAL-SPARSE-CODED DYNAMIC MODE DECOMPOSITION AND ITS APPLICATION TO RIVER STATE ESTIMATION
Yuhei Kaneko, Shogo Muramatsu, Hiroyasu Yasuda, Kiyoshi Hayasaka, Yu Otake, Niigata University, Japan; Shunsuke Ono, Tokyo Institute of Technology, Japan; Masahiro Yukawa, Keio University, Japan

IVMSP-P2.8: FAST EDGE PRESERVING 2D SMOOTHING FILTER USING INDICATOR FUNCTION
Ryo Abiko, Masaaki Ikehara, Keio University, Japan

IVMSP-P2.9: DENOISING OF 3D POINT CLOUDS CONSTRUCTED FROM LIGHT FIELDS
Christian Galea, Christine Guillemot, INRIA, France

IVMSP-P2.10: INTERACTIVE DEEP COLORIZATION USING SIMULTANEOUS GLOBAL AND LOCAL INPUTS
Yi Xiao, Peiyao Zhou, Yan Zheng, Hunan University, China; Chi-Sing Leung, City University of Hong Kong, China

IVMSP-P2.11: DEEPISP: TOWARDS LEARNING AN END-TO-END IMAGE PROCESSING PIPELINE
Eli Schwartz, Raja Giryes, TAU, Israel; Alex M. Bronstein, Technion, Israel

IVMSP-P2.12: EXPLOITING UNCERTAINTY OF DEEP NEURAL NETWORKS FOR IMPROVING SEGMENTATION ACCURACY IN MRI IMAGES
Alireza Norouzi, Ali Emami, Isfahan University of Technology, Iran; Kayvan Najarian, University of Michigan, United States; Nader Karimi, Shadrokh Samavi, Isfahan University of Technology, Iran; S.M.Reza Soroushmehr, University of Michigan, United States

IVMSP-P3: Segmentation and Tracking

IVMSP-P3.1: CAN: CONTEXTUAL AGGREGATING NETWORK FOR SEMANTIC SEGMENTATION
Dechun Cong, Quan Zhou, Nanjing University of Posts and Telecommunications, China; Jie Cheng, Huawei Technologies Co. Ltd., China; Xiaofu Wu, Suofei Zhang, Nanjing University of Posts and Telecommunications, China; Weihua Ou, Guizhou Normal University, China; Huimin Lu, Kyushu Institute of Technology, Japan

IVMSP-P3.2: AN IMPROVED APPROACH TO WEAKLY SUPERVISED SEMANTIC SEGMENTATION
Lian Xu, Mohammed Bennamoun, Farid Boussaid, The University of Western Australia, Australia; Senjian An, Curtin University, Australia; Ferdous Sohel, Murdoch University, Australia

IVMSP-P3.3: PIXEL LEVEL DATA AUGMENTATION FOR SEMANTIC IMAGE SEGMENTATION USING GENERATIVE ADVERSARIAL NETWORKS
Shuangting Liu, Jiaqi Zhang, Yuxin Chen, Yifan Liu, Zengchang Qin, Tao Wan, Beihang University, China

IVMSP-P3.4: SALIENCY AWARE: WEAKLY SUPERVISED OBJECT LOCALIZATION
Yun-Chun Chen, Winston H. Hsu, National Taiwan University, Taiwan

IVMSP-P3.5: A DATA-CENTRIC APPROACH TO UNSUPERVISED TEXTURE SEGMENTATION USING PRINCIPLE REPRESENTATIVE PATTERNS
Kaitai Zhang, University of Southern California, United States; Hong-Shuo Chen, National Chiao Tung University, Taiwan; Xinfeng Zhang, Ye Wang, C.-C. Jay Kuo, University of Southern California, United States

IVMSP-P3.6: WEAKLY SUPERVISED INSTANCE SEGMENTATION USING HYBRID NETWORKS
Shisha Liao, Chongqing University of Posts and Telecommunications, China; Yongqing Sun, NTT Media Intelligence Laboratories, Japan; Chenqiang Gao, Chongqing University of Posts and Telecommunications, China; Pranav Shenoy K P, Georgia Institute of Technology, United States; Song Mu, Chongqing University of Posts and Telecommunications, China; Jun Shimamura, Atsushi Sagata, NTT Media Intelligence Laboratories, Japan

IVMSP-P3.7: DISCRIMINATIVE FEATURES RECONSTRUCTION NETWORK FOR SEMANTIC SEGMENTATION
Qiuhao Zhou, Yanbo Ma, Haihua Lu, Xuesong Chen, Yong Zhao, Shenzhen Graduate School of Peking University, China

IVMSP-P3.8: ONLINE SINGLE PERSON TRACKING FOR UNMANNED AERIAL VEHICLES: BENCHMARK AND NEW BASELINE
Zhihui Wang, Zihao Liu, Dong Wang, Dalian University of Technology, China; Shuang Wang, Yunwei Qi, Alibaba Group, China; Huchuan Lu, Dalian University of Technology, China

IVMSP-P3.9: REAL-TIME TRACKER WITH FAST RECOVERY FROM TARGET LOSS
Alessandro Bay, Panagiotis Sidiropoulos, Eduard Vazquez, Michele Sasdelli, Cortexica Vision System Ltd, United Kingdom

IVMSP-P3.10: SHOT TYPE FEASIBILITY IN AUTONOMOUS UAV CINEMATOGRAPHY
Iason Karakostas, Ioannis Mademlis, Nikos Nikolaidis, Ioannis Pitas, Aristotle University of Thessaloniki, Greece

IVMSP-P3.11: ADVERSARIAL LEARNING-BASED DATA AUGMENTATION FOR ROTATION-ROBUST HUMAN TRACKING
Kexin Chen, Xue Zhou, Qidong Zhou, Hongbing Xu, University of Electronic Science and Technology of China, China

IVMSP-P4: Image/Video Analysis I

IVMSP-P4.1: ADAPTIVE GRAPH FORMULATION FOR 3D SHAPE REPRESENTATION
Basheer Alwaely, Charith Abhayaratne, The University of Sheffield, United Kingdom

IVMSP-P4.2: DOD-CNN: DOUBLY-INJECTING OBJECT INFORMATION FOR EVENT RECOGNITION
Hyungtae Lee, Sungmin Eum, Booz Allen Hamilton Inc., United States; Heesung Kwon, U.S. Army Research Laboratory, United States

IVMSP-P4.3: SCORE-SPECIFIC NON-MAXIMUM SUPPRESSION AND COEXISTENCE PRIOR FOR MULTI-SCALE FACE DETECTION
Tianpeng Wu, Dong Liang, Jiaxing Pan, Han Sun, Nanjing University of Aeronautics and Astronautics, China; Bin Kang, Nanjing University of Posts and Telecommunications, China; Shun’ichi Kaneko, Graduate School of Information Science and Technology, Hokkaido University, Japan; Huiyu Zhou, University of Leicester, United Kingdom

IVMSP-P4.4: ADVERSARIAL WATERMARKING TO ATTACK DEEP NEURAL NETWORKS
Gengxing Wang, The University of Sydney, Australia; Xinyuan Chen, Shanghai Jiao Tong University, China; Chang Xu, The University of Sydney, Australia

IVMSP-P4.5: LEARNING SEARCH PATH FOR REGION-LEVEL IMAGE MATCHING
Onkar Krishna, Go Irie, Xiaomeng Wu, Takahito Kawanishi, Kunio Kashino, NTT Corporation, Japan

IVMSP-P4.6: VEHICLE POSE ESTIMATION USING MASK MATCHING
Qingnan Li, Ruimin Hu, Yu Chen, Yixin Chen, Wuhan University, China

IVMSP-P4.7: NOSE, EYES AND EARS: HEAD POSE ESTIMATION BY LOCATING FACIAL KEYPOINTS
Aryaman Gupta, Kalpit Thakkar, Vineet Gandhi, PJ Narayanan, IIIT Hyderabad, India

IVMSP-P4.8: CASCADED POINT NETWORK FOR 3D HAND POSE ESTIMATION
Yikun Dou, Xuguang Wang, North China Electric Power University, China; Yuying Zhu, Xiaoming Deng, Cuixia Ma, Institute of Software, Chinese Academy of Sciences, China; Liang Chang, Beijing Normal University, China; Hongan Wang, Institute of Software, Chinese Academy of Sciences, China

IVMSP-P4.9: MULTI-MODAL IMAGE STITCHING WITH NONLINEAR OPTIMIZATION
Arindam Saha, Soumyadip Maity, Brojeshwar Bhowmick, Embedded Systems and Robotics, TCS Research and Innovation, India

IVMSP-P4.10: VIDEO DENOISING VIA DYNAMIC VIDEO LAYERING
Namrata Vaswani, Iowa State University, United States

IVMSP-P4.11: SCANET: SPATIAL-CHANNEL ATTENTION NETWORK FOR 3D OBJECT DETECTION
Haihua Lu, Xuesong Chen, Guiying Zhang, Qiuhao Zhou, Yanbo Ma, Yong Zhao, Peking University Shenzhen Graduate School, China

IVMSP-P4.12: AN ARTIFACT-TYPE AWARE DIBR METHOD FOR VIEW SYNTHESIS
Adriano de Oliveira, Marcelo Walter, Cláudio Jung, Federal University of Rio Grande do Sul, Brazil

IVMSP-P5: Image/Video Analysis II

IVMSP-P5.1: A NOVEL FRACTIONAL ORDER DERIVATE BASED LOG-DEMONS WITH DRIVING FORCE FOR HIGH ACCURATE IMAGE REGISTRATION
Cheng Xu, Ying Wen, East China Normal University, China; Bing He, Shanghai Inspection & Maintenance of Power Company, China

IVMSP-P5.2: DUAL-MODALITY SEQ2SEQ NETWORK FOR AUDIO-VISUAL EVENT LOCALIZATION
Yan-Bo Lin, Yu-Jhe Li, Yu-Chiang Frank Wang, National Taiwan University, Taiwan

IVMSP-P5.3: MULTIPLE AGENTS REPRESENTATION USING MOTION FIELDS
Catarina Barata, Jacinto C. Nascimento, Jorge S. Marques, IST, Portugal

IVMSP-P5.4: TOWARDS GENERATING AMBISONICS USING AUDIO-VISUAL CUE FOR VIRTUAL REALITY
Aakanksha Rana, Cagri Ozcinar, Aljosa Smolic, Trinity College Dublin, Ireland

IVMSP-P5.5: TEMPORAL SALIENCE BASED HUMAN ACTION RECOGNITION
Salah Al-Obaidi, Charith Abhayaratne, The University of Sheffield, United Kingdom

IVMSP-P5.6: FACIAL MICRO-EXPRESSION SPOTTING AND RECOGNITION USING TIME CONTRASTED FEATURE WITH VISUAL MEMORY
Sauradip Nag, Kalyani Government Engineering College, India; Ayan Kumar Bhunia, Nanyang Technological University, Singapore; Aishik Konwer, Cognizant, India; Partha Pratim Roy, Indian Institure of Technology, Roorkee, India

IVMSP-P5.7: PREDICTING VIDEO-FRAMES USING ENCODER-CONVLSTM COMBINATION
Subham Mukherjee, Spandan Ghosh, Souvik Ghosh, Institute of Engineering and Management, India; Pradeep Kumar, Partha Pratim Roy, Indian Institute of Technology, India

IVMSP-P5.8: DEEP COUNTING MODEL EXTENSIONS WITH SEGMENTATION FOR PERSON DETECTION
Sanjukta Ghosh, Siemens AG / Friedrich Alexander University, Germany; Peter Amon, Andreas Hutter, Siemens AG, Germany; André Kaup, Friedrich Alexander University, Germany

IVMSP-P5.9: LEARNING CONVOLUTIONAL NEURAL NETWORKS WITH DEEP PART EMBEDDINGS
Nitin Gupta, Shashank Mujumdar, Prerna Agarwal, Abhinav Jain, Sameep Mehta, IBM Research, India

IVMSP-P5.10: DSSLIC: DEEP SEMANTIC SEGMENTATION-BASED LAYERED IMAGE COMPRESSION
Mohammad Akbari, Jie Liang, Simon Fraser University, Canada; Jingning Han, Google, Inc., Canada

IVMSP-P6: Retrieval

IVMSP-P6.1: BILINEAR REPRESENTATION FOR LANGUAGE-BASED IMAGE EDITING USING CONDITIONAL GENERATIVE ADVERSARIAL NETWORKS
Xiaofeng Mao, Yuefeng Chen, Yuhong Li, Tao Xiong, Yuan He, Hui Xue, Alibaba Group, China

IVMSP-P6.2: MULTI-SCALE SPATIAL-TEMPORAL NETWORK FOR PERSON RE-IDENTIFICATION
Zhikang Wang, Lihuo He, Xinbo Gao, Yuanfei Huang, Xidian University, China

IVMSP-P6.3: LANGUAGE PERSON SEARCH WITH MUTUALLY CONNECTED CLASSIFICATION LOSS
Yuyu Wang, Dalian University of Technology, China; Chunjuan Bo, Dalian Minzu University, China; Dong Wang, Dalian University of Technology, China; Shuang Wang, Yunwei Qi, Alibaba Group, China; Huchuan Lu, Dalian University of Technology, China

IVMSP-P6.4: BURST-SURVIVE TEMPORAL MATCHING KERNEL WITH FIBONACCI PERIODS
Fan Yang, The University of Tokyo, National Institute of Informatics, Japan; Shin'ichi Satoh, National Institute of Informatics, The University of Tokyo, Japan

IVMSP-P6.5: A NOVEL DEEP HASHING METHOD WITH TOP SIMILARITY FOR IMAGE RETRIEVAL
Qibing Qin, Ocean University of China, China; Zhiqiang Wei, Lei Huang, Ocean University of China;Qingdao National Laboratory for Marine Science and Technology, China; Jie Nie, Xiaopeng Ji, Ocean University of China, China

IVMSP-P6.6: MULTI-LEVEL SUPERVISED NETWORK FOR PERSON RE-IDENTIFICATION
Junpeng Zhang, Fei Jiang, Shanghai Jiao Tong University, China

IVMSP-P6.7: DEEP TEMPORAL PYRAMID DESIGN FOR ACTION RECOGNITION
Ahmed Mazari, Sorbonne Université, France; Hichem Sahbi, CNRS, Sorbonne University, France

IVMSP-P6.8: MULTI-STEP SELF-ATTENTION NETWORK FOR CROSS-MODAL RETRIEVAL BASED ON A LIMITED TEXT SPACE
Zheng Yu, Wenmin Wang, Ge Li, Peking University, China

IVMSP-P6.9: SCORE-BASED LEARNING FOR RELEVANCE PREDICTION IN IMAGE SIMILARITY SEARCH
Alberto Oliveira, Anderson Rocha, University of Campinas, Brazil

IVMSP-P7: Image/Video Feature Extraction

IVMSP-P7.1: ROBUST UNSUPERVISED FLEXIBLE AUTO-WEIGHTED LOCAL-COORDINATE CONCEPT FACTORIZATION FOR IMAGE CLUSTERING
Zhao Zhang, Yan Zhang, Soochow University, China; Sheng Li, University of Georgia, United States; Guangcan Liu, Nanjing University of Information Science and Technology, China; Meng Wang, Hefei University of Technology, China; Shuicheng Yan, National University of Singapore, Singapore

IVMSP-P7.2: VISUAL RELATIONSHIP RECOGNITION VIA LANGUAGE AND POSITION GUIDED ATTENTION
Hao Zhou, Shanghai Jiao Tong University, China; Chuanping Hu, Railway Police College, China; Chongyang Zhang, Shengyang Shen, Shanghai Jiao Tong University, China

IVMSP-P7.3: DYNAMIC TEXTURE RECOGNITION USING 3D RANDOM FEATURES
Xiaochao Zhao, Yaping Lin, Hunan University, China; Li Liu, University of Oulu, China

IVMSP-P7.4: UNSUPERVISED FEATURE SELECTION BASED ON RECONSTRUCTION ERROR MINIMIZATION
Sheng Yang, Rui Zhang, Feiping Nie, Xuelong Li, Northwestern Polytechnical University, China

IVMSP-P7.5: DISCRIMINATIVE VIDEO REPRESENTATION WITH TEMPORAL ORDER FOR MICRO-EXPRESSION RECOGNITION
Mingyue Niu, National Laboratory of Pattern Recognition, School of Artificial Intelligence, University of Chinese Academy of Sciences, China; Jianhua Tao, National Laboratory of Pattern Recognition, CAS Center for Excellence in Brain Science and Intelligence Technology,School of Artificial Intelligence, University of Chinese Academy of Sciences, China; Ya Li, National Laboratory of Pattern Recognition, School of Artificial Intelligence, University of Chinese Academy of Sciences, China; Jian Huang, Zheng Lian, National Laboratory of Pattern Recognition, University of Chinese Academy of Sciences, China

IVMSP-P7.6: MULTI-SCALE VEHICLE RE-IDENTIFICATION USING SELF-ADAPTING LABEL SMOOTHING REGULARIZATION
Yue Xu, Na Jiang, Lei Zhang, Zhong Zhou, Wei Wu, Beihang University, China

IVMSP-P7.7: EXPRESSION-IDENTITY FUSION NETWORK FOR FACIAL EXPRESSION RECOGNITION
Haifeng Zhang, University of Science and Technology of China, China; Wen Su, Zhejiang Sci-Tech University, China; Zengfu Wang, University of Science and Technology of China, China

IVMSP-P7.8: RANDOMIZED TENSOR RING DECOMPOSITION AND ITS APPLICATION TO LARGE-SCALE DATA RECONSTRUCTION
Longhao Yuan, Saitama Institute of Technology, Japan; Chao Li, RIKEN Center for Advanced Intelligence Project, Japan; Jianting Cao, Saitama Institute of Technology, Japan; Qibin Zhao, RIKEN Center for Advanced Intelligence Project, Japan

IVMSP-P7.9: DISCRIMINATIVE SALIENCY-POSE-ATTENTION COVARIANCE FOR ACTION RECOGNITION
Jianhai Zhang, Zhiyong Feng, Yong Su, Meng Xing, Tianjin University, China

IVMSP-P7.10: LEARNING DISCRIMINATIVE FINGER-KNUCKLE-PRINT DESCRIPTOR
Lunke Fei, Bob Zhang, University of Macau, China; Shaohua Teng, An Zeng, Guangdong University of Technology, China; Chunwei Tian, University of Macau, China; Wei Zhang, Guangdong University of Technology, China

IVMSP-P7.11: SALIENCY PREDICTION FOR OMNIDIRECTIONAL IMAGES CONSIDERING OPTIMIZATION ON SPHERE DOMAIN
Bhishma Dedhia, Indian Institute of Technology Bombay, India; Jui-Chiu Chiang, Yi-Fan Char, National Chung Cheng University, Taiwan

IVMSP-P7.12: REFLECTION SYMMETRY DETECTION BY EMBEDDING SYMMETRY IN A GRAPH
Rajendra Nagar, Shanmuganathan Raman, Indian Institute of Technology Gandhinagar, India

IVMSP-P8: Image Formation

IVMSP-P8.1: HYPERSPECTRAL AND MULTISPECTRAL DATA FUSION BY A REGULARIZATION CONSIDERING
Saori Takeyama, Shunsuke Ono, Itsuo Kumazawa, Tokyo Institute of Technology, Japan

IVMSP-P8.2: ALTERNATING DIRECTION METHOD OF MULTIPLIERS FOR SEMI-BLIND ASTRONOMICAL IMAGE DECONVOLUTION
Konstantina Fotiadou, Grigorios Tsagkatakis, Panagiotis Tsakalides, Foundation for Research and Technology-Hellas, Greece

IVMSP-P8.3: ADAPTIVE BRIGHTNESS LEARNING FOR ACTIVE OBJECT RECOGNITION
Nuo Xu, Chunlei Huo, Chunhong Pan, Chinese Academy of Sciences, University of Chinese Academy of Sciences, China

IVMSP-P8.4: AN EFFICIENT ALGORITHM FOR HYPERSPECTRAL IMAGE CLUSTERING
Yushu Pan, Beijing Institute of Technology, China; Yuchen Jiao, Tiejian Li, Tsinghua University, China; Yuantao Gu, Tsinghua Unvierstiy, China

IVMSP-P8.5: RADAR STATIONARY AND MOVING INDOOR TARGET LOCALIZATION WITH LOW-RANK AND SPARSE REGULARIZATIONS
Van Ha Tang, Le Quy Don Technical University, Viet Nam; Abdesselam Bouzerdoum, Son Lam Phung, University of Wollongong, Australia

IVMSP-P8.6: IMPROVED HYPERSPECTRAL UNMIXING WITH ENDMEMBER VARIABILITY PARAMETRIZED USING AN INTERPOLATED SCALING TENSOR
Ricardo Borsoi, Tales Imbiriba, José Bermudez, Federal University of Santa Catarina, Brazil

IVMSP-P8.7: SHIP WAKE DETECTION IN X-BAND SAR IMAGES USING SPARSE GMC REGULARIZATION
Oktay Karakus, Alin Achim, University of Bristol, United Kingdom

IVMSP-P8.8: MULTISOURCE REMOTE SENSING DATA CLASSIFICATION USING DEEP HIERARCHICAL RANDOM WALK NETWORKS
Xudong Zhao, Ran Tao, Beijing Institute of Technology, China; Wei Li, Beijing University of Chemical Technology, China

IVMSP-P8.9: SALIENT OBJECT DETECTION ON HYPERSPECTRAL IMAGES USING FEATURES LEARNED FROM UNSUPERVISED SEGMENTATION TASK
Nevrez Imamoglu, National Institute of Advanced Industrial Science and Technology (AIST), Japan; Guanqun Ding, Yuming Fang, Jiangxi University of Finance and Economics, China; Asako Kanezaki, Toru Kouyama, Ryosuke Nakamura, National Institute of Advanced Industrial Science and Technology (AIST), Japan

IVMSP-P8.10: CLASSIFICATION OF HYPERSPECTRAL AND LIDAR WITH DEEP ROTATION FOREST
Junshi Xia, RIKEN AIP, Japan; Zuheng Ming, University of La Rochelle, France

IVMSP-P9: Motion Estimation and Tracking

IVMSP-P9.1: MULTI-TEACHER KNOWLEDGE DISTILLATION FOR COMPRESSED VIDEO ACTION RECOGNITION ON DEEP NEURAL NETWORKS
Meng-Chieh Wu, Ching-Te Chiu, Kun-Hsuan Wu, National Tsing Hua University, Taiwan

IVMSP-P9.2: AD-NET: ATTENTION GUIDED NETWORK FOR OPTICAL FLOW ESTIMATION USING DILATED CONVOLUTION
Mingliang Zhai, Xuezhi Xiang, Rongfang Zhang, Ning Lv, Harbin Engineering University, China; Abdulmotaleb El Saddik, University of Ottawa, Canada

IVMSP-P9.3: FROM TV-L1 TO GATED RECURRENT NETS
Yuqiang Fang, Haiyan Fan, Space Engineering University, China; Lin Sun, Hong Kong University of Science and Technology, China; Yulan Guo, National University of Defense Technology, China; Zhihao Ma, Space Engineering University, China

IVMSP-P9.4: PROGRESSIVE FILTERING FOR FEATURE MATCHING
Xingyu Jiang, Jiayi Ma, Wuhan University, China; Jun Chen, China University of Geosciences, China

IVMSP-P9.5: A NOVEL FRAMEWORK OF HAND LOCALIZATION AND HAND POSE ESTIMATION
Yunlong Che, Yuxiang Song, Yue Qi, Beihang University, China

IVMSP-P9.6: HOW VIDEO OBJECT TRACKING IS AFFECTED BY IN-CAPTURE DISTORTIONS?
Roger Gomez Nieto, Hernán Darío Benítez Restrepo, Pontificia Universidad Javeriana, Colombia; Ivan Mauricio Cabezas Troyano, Universidad de San Buenaventura Cali, Colombia

IVMSP-P9.7: E-CNN: ACCURATE SPHERICAL CAMERA ROTATION ESTIMATION VIA UNIFORMIZATION OF DISTORTED OPTICAL FLOW FIELDS
Dabae Kim, Sarthak Pathak, Alessandro Moro, Ren Komatsu, Atsushi Yamashita, Hajime Asama, The University of Tokyo, Japan

IVMSP-P9.8: SENSOR-ASSISTED GLOBAL MOTION ESTIMATION FOR EFFICIENT UAV VIDEO CODING
Yang Mi, Chunbo Luo, Geyong Min, Wang Miao, University of Exeter, United Kingdom; Liang Wu, Huawei Communication Technology Company, China; Tianxiao Zhao, Beijing Institute of Technology, China

IVMSP-P9.9: ROBUST VISUAL TRACKING VIA ADAPTIVE OCCLUSION DETECTION
Yueyang Gu, Xiaoguang Niu, Yu Qiao, Shanghai Jiao Tong University, China

IVMSP-P9.10: COMPLEMENTARY SIAMESE NETWORKS FOR ROBUST VISUAL TRACKING
Heng Fan, Temple University, United States; Lu Xu, Jinhai Xiang, Huazhong Agricultural University, China

IVMSP-P9.11: ACCELERATED PARTICLE FILTER FOR REAL-TIME VISUAL TRACKING WITH DECISION FUSION
Shengjie Li, Shuai Zhao, Bo Cheng, Junliang Chen, Beijing University of Posts and Telecommunications, China

IVMSP-P10: Stereoscopic and 3D Processing

IVMSP-P10.1: LEARNING BY INERTIA: SELF-SUPERVISED MONOCULAR VISUAL ODOMETRY FOR ROAD VEHICLES
Chengze Wang, Yuan Yuan, Qi Wang, Northwestern Polytechnical University, China

IVMSP-P10.2: A LEARNING BASED DEPTH ESTIMATION FRAMEWORK FOR 4D DENSELY AND SPARSELY SAMPLED LIGHT FIELDS
Xiaoran Jiang, Jinglei Shi, Christine Guillemot, INRIA, France

IVMSP-P10.3: VIDEO-BASED, OCCLUSION-ROBUST MULTI-VIEW STEREO USING INNER-BOUNDARY DEPTHS OF TEXTURELESS AREAS
Jian Wei, Shigang Wang, Yan Zhao, Jilin University, China

IVMSP-P10.4: A DIFFERENTIAL-GEOMETRIC APPROACH FOR GLOBALLY SOLVING A NON-CONVEX, DISCONTINUOUS DEPTH ESTIMATION PROBLEM FOR PLENOPTIC CAMERA IMAGES
Isaac Sledge, Naval Surface Warfare Center PCD, United States; Jose Principe, University of Florida, United States

IVMSP-P10.5: ON THE PERFORMANCE OF DIBR METHODS WHEN USING DEPTH MAPS FROM STATE-OF-THE-ART STEREO MATCHING ALGORITHMS
Adriano Quilião de Oliveira, Thiago Lopes Trugillo da Silveira, Marcelo Walter, Cláudio Rosito Jung, Federal University of Rio Grande do Sul, Brazil

IVMSP-P10.6: JUST NOTICEABLE DIFFERENCE MODEL FOR ASYMMETRICALLY DISTORTED STEREOSCOPIC IMAGES
Yu Fan, Mohamed-Chaker Larabi, CNRS - Université de Poitiers, France; Faouzi Alaya Cheikh, NTNU, Norway; Christine Fernandez-Maloigne, CNRS - Université de Poitiers, France

IVMSP-P10.7: POST-STITCHING DEPTH ADJUSTMENT FOR STEREOSCOPIC PANORAMA
Haoyu Wang, Daniel Sandin, Dan Schonfeld, University of Illinois at Chicago, United States

IVMSP-P10.8: DYNAMIC POINT CLOUD GEOMETRY COMPRESSION VIA PATCH-WISE POLYNOMIAL FITTING
Yingzhan Xu, Wenjie Zhu, Yiling Xu, Cooperative MediaNet Innovation Center, Shanghai Jiao Tong University, China; Zhu Li, University of Missouri, United States

IVMSP-P10.9: CONSISTENCY CONSTRAINED RECONSTRUCTION OF DEPTH MAPS FROM EPIPOLAR PLANE IMAGES
Ziling Huang, Chia-Wen Lin, National Tsing Hua University, Taiwan; Hao-Chiang Shao, Fu Jen Catholic University, Taiwan; Xiangsheng Huang, Chinese Academy of Sciences, China

IVMSP-P10.10: ROBUST VIEW SYNTHESIS IN WIDE-BASELINE COMPLEX GEOMETRIC ENVIRONMENTS
Sheng Wang, Ronggang Wang, Peking University, China

IVMSP-P10.11: HOMOGRAPHY ESTIMATION BASED ON ERROR ELLIPTICAL DISTRIBUTION
Lulu Mao, Haijiang Zhu, Beijing University of Chemical Technology, China; Fuqing Duan, Beijing Normal University, China

IVMSP-P11: Image/Video Processing I

IVMSP-P11.1: CAPSULE-FORENSICS: USING CAPSULE NETWORKS TO DETECT FORGED IMAGES AND VIDEOS
Huy Nguyen, SOKENDAI (The Graduate University for Advanced Studies), Japan; Junichi Yamagishi, Isao Echizen, National Institute of Informatics, Japan

IVMSP-P11.2: AUTONOMOUS DETECTION AND DISAMBIGUATION OF MARTIAN ION TRAILS USING GEOMETRIC SIGNAL PROCESSING TECHNIQUES
Qiutong Jin, Ananya Sen Gupta, Mirela Kapo, Emma Hawk, Jasper Halekas, University of Iowa, United States

IVMSP-P11.3: A FUZZY-BASED TWO-STAGE BIOMETRIC SAMPLE QUALITY EVALUATION SYSTEM
Tauheed Ahmed, Monalisa Sarma, Debasis Samanta, Indian Institute of Technology Kharagpur, India

IVMSP-P11.4: MULTI-FRAME SUPER-RESOLUTION FOR TIME-OF-FLIGHT IMAGING
Fengqiang Li, Pablo Ruiz, Oliver Cossairt, Aggelos Katsaggelos, Northwestern University, United States

IVMSP-P11.5: GRADIENT IMAGE SUPER-RESOLUTION FOR LOW-RESOLUTION IMAGE RECOGNITION
Dewan Fahim Noor, University of Missouri - Kansas City, United States; Yue Li, University of Science and Technology of China, Anhui Sheng, China, China; Zhu Li, University of Missouri - Kansas City, United States; Shuvra Bhattacharyya, University of Maryland, College Park, United States; George York, US Air Force Academy, United States

IVMSP-P11.6: FINE-TUNING APPROACH TO NIR FACE RECOGNITION
Jeyeon Kim, Hoon Jo, Moonsoo Ra, Whoi-Yul Kim, Hanyang University, Korea (South)

IVMSP-P11.7: MULTISCALE DIRECTIONAL FUSION FOR DEPTH MAP SUPER RESOLUTION WITH DENOISING
Dan Xu, Xiaopeng Fan, Harbin Institute of Technology, Peng Cheng Laboratory, China; Shibo Zhang, Northwestern University, United States; Yang Wang, Debin Zhao, Harbin Institute of Technology, Peng Cheng Laboratory, United States; Wen Gao, Peking University, Harbin Institute of Technology, Peng Cheng Laboratory, United States

IVMSP-P11.8: CHANNEL IMPULSIVE NOISE MITIGATION FOR LINEAR VIDEO CODING SCHEMES
Shuo Zheng, Marco Cagnazzo, LTCI, Télécom ParisTech, Université Paris-Saclay, France; Michel Kieffer, L2S, CNRS–CentraleSupelec–Université Paris-Sud, Université Paris-Saclay, France

IVMSP-P11.9: END-TO-END AUDIO VISUAL SCENE-AWARE DIALOG USING MULTIMODAL ATTENTION-BASED VIDEO FEATURES
Chiori Hori, Mitsubishi Electric Research Laboratories, United States; Huda Alamri, Georgia Institute of Technology, United States; Jue Wang, Gordon Wichern, Takaaki Hori, Anoop Cherian, Tim Marks, Mitsubishi Electric Research Laboratories, United States; Vincent Cartillier, Raphael Lopes, Abhishek Das, Irfan Essa, Dhruv Batra, Devi Parikh, Georgia Institute of Technology, United States

IVMSP-P11.10: SELF-SUPERVISED AUDIO-VISUAL CO-SEGMENTATION
Andrew Rouditchenko, Hang Zhao, Massachusetts Institute of Technology, United States; Chuang Gan, Massachusetts Institute of Technology-IBM Watson AI Lab, United States; Josh McDermott, Antonio Torralba, Massachusetts Institute of Technology, United States

IVMSP-P11.11: VIDEO QUALITY ASSESSMENT FOR ENCRYPTED HTTP ADAPTIVE STREAMING: ATTENTION-BASED HYBRID RNN-HMM MODEL
Shuang Tang, Xiaowei Qin, Xiaohui Chen, Guo Wei, University of Science and Technology of China, China

IVMSP-P12: Image/Video Processing II

IVMSP-P12.1: 3D VISUAL SPEECH ANIMATION USING 2D VIDEOS
Rabab Algadhy, Yoshihiko Gotoh, Steve Maddock, University of Sheffield, United Kingdom

IVMSP-P12.2: COMPLETELY BLIND IMAGE QUALITY ASSESSMENT USING LATENT QUALITY FACTOR FROM IMAGE LOCAL STRUCTURE REPRESENTATION
Min Zhang, Northwest University, China; Yifan Li, Yu Chen, Xi'an Jiaotong University, China

IVMSP-P12.3: PGR-NET:A PARALLEL NETWORK BASED ON GROUP AND REGRESSION FOR AGE ESTIMATION
Na Liu, Liang Chang, Fuqing Duan, Beijing Normal University, China

IVMSP-P12.4: ADAPTIVE SCENARIO DISCOVERY FOR CROWD COUNTING
Xingjiao Wu, East China Normal University, China; Yingbin Zheng, Hao Ye, Shanghai Advanced Research Institute, Chinese Academy of Sciences, China; Wenxin Hu, Jing Yang, Liang He, East China Normal University, China

IVMSP-P12.5: TRANSFORM DOMAIN BASED MEDICAL IMAGE SUPER-RESOLUTION VIA DEEP MULTI-SCALE NETWORK
Chunpeng Wang, Qilu University of Technology (Shandong Academy of Sciences), China; Simiao Wang, Liaoning Technical University, China; Bin Ma, Jian Li, Xiangjun Dong, Qilu University of Technology (Shandong Academy of Sciences), China; Zhiqiu Xia, Dalian University of Technology, China

IVMSP-P12.6: MOTION-ADAPTED THREE-DIMENSIONAL FREQUENCY SELECTIVE EXTRAPOLATION
Andreas Spruck, Markus Jonscher, Jürgen Seiler, André Kaup, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

IVMSP-P12.7: MATERIAL SEGMENTATION IN HYPERSPECTRAL IMAGES WITH A SPATIO-SPECTRAL TEXTURE DESCRIPTOR
Yu Zhang, The Chinese University of Hong Kong, Hong Kong SAR of China; Cong Huynh, Australian National University, Australia; Nariman Habili, CSIRO, Australia; King Ngan, The Chinese University of Hong Kong, Hong Kong SAR of China

IVMSP-P12.8: RELIABILITY OF THE MOST COMMON OBJECTIVE METRICS FOR LIGHT FIELD QUALITY ASSESSMENT
Hadi Amirpour, Antonio Pinheiro, Manuela Pereira, Instituto de Telecomunicações (IT) and Universidade da Beira Interior, Portugal; Mohammad Ghanbari, School of Electrical and Computer Engineering, University of Tehran and School of Computer Science and Electronic Engineering, University of Essex, United Kingdom

IVMSP-P12.9: EDGE DETECTION EVALUATION: A NEW NORMALIZED FIGURE OF MERIT
Baptiste Magnier, IMT Mines Ales, France

IVMSP-P12.10: A ROTATION INVARIANT HOG DESCRIPTOR FOR TIRE PATTERN IMAGE CLASSIFICATION
Liu Ying, Ge Yuxiang, Wang Fuping, Liu Qiqi, Lei Yanbo, Xi'an University of Posts and Telecommunications, China; Zhang Dengsheng, Lu Guojun, Federation University, Australia

IVMSP-P12.11: GRAPH-BASED RGB-D IMAGE SEGMENTATION USING COLOR-DIRECTIONAL-REGION MERGING
Xiong Pan, Zejun Zhang, Yizhang Liu, Changcai Yang, Qiufeng Chen, Li Cheng, Jiaxiang Lin, Riqing Chen, Fujian Agriculture and Forestry University, China

IVMSP-P12.12: OBJECT COUNTING IN VIDEO SURVEILLANCE USING MULTI-SCALE DENSITY MAP REGRESSION
Yi Wang, Nanyang Technological University, Singapore; Junhui Hou, City University of Hong Kong, Hong Kong SAR of China; Lap-Pui Chau, Nanyang Technological University, Singapore

IFS-L1: Information Forensics and Security I

IFS-L1.1: ON THE COMPUTABILITY OF THE SECRET KEY CAPACITY UNDER RATE CONSTRAINTS
Holger Boche, Technische Universität München, Germany; Rafael F. Schaefer, Technische Universität Berlin, Germany; H. Vincent Poor, Princeton University, Germany

IFS-L1.2: QUICKEST DETECTION OF TIME-VARYING FALSE DATA INJECTION ATTACKS IN DYNAMIC SMART GRIDS
Jiangfan Zhang, Missouri University of Science and Technology, United States

IFS-L1.3: SECURE MIMO INTERFERENCE CHANNEL WITH CONFIDENTIAL MESSAGES AND DELAYED CSIT
Tong Zhang, Pak-Chung Ching, The Chinese University of Hong Kong, Hong Kong SAR of China

IFS-L1.4: ROBUST SECURE PRECODING AND ANTENNA SELECTION: A PROBABILISTIC OPTIMIZATION APPROACH FOR INTERFERENCE EXPLOITATION
Zhongxiang Wei, Christos Masouros, University College London, United Kingdom

IFS-L1.5: COMBATING JAMMING IN WIRELESS NETWORKS: A BAYESIAN GAME WITH JAMMER'S CHANNEL UNCERTAINTY
Andrey Garnaev, Wade Trappe, WINLAB, Rutgers University, United States; Athina P. Petropulu, Rutgers University, United States

IFS-L1.6: AUDIO WATERMARKING OVER THE AIR WITH MODULATED SELF-CORRELATION
Yuan-Yen Tai, Mohamed Mansour, Amazon, United States

IFS-L2: Information Forensics and Security II

IFS-L2.1: SIMILARITY LEARNING FOR AUTHORSHIP VERIFICATION IN SOCIAL MEDIA
Benedikt Boenninghoff, Ruhr-Universität Bochum, Germany; Robert M. Nickel, Bucknell University, United States; Steffen Zeiler, Dorothea Kolossa, Ruhr-Universität Bochum, Germany

IFS-L2.2: CROSS-VIEW IDENTICAL PART AREA ALIGNMENT FOR PERSON RE-IDENTIFICATION
Dongshu Xu, Jun Chen, Chao Liang, Wuhan University, China; Zheng Wang, National Institute of Informatics, Japan; Ruimin Hu, Wuhan University, China

IFS-L2.3: PREWARPING SIAMESE NETWORK: LEARNING LOCAL REPRESENTATIONS FOR ONLINE SIGNATURE VERIFICATION
Xiaomeng Wu, Akisato Kimura, NTT Corporation, Japan; Seiichi Uchida, Kyushu University, Japan; Kunio Kashino, NTT Corporation, Japan

IFS-L2.4: ALL FOR ONE: FRAME-WISE RANK LOSS FOR IMPROVING VIDEO-BASED PERSON RE-IDENTIFICATION
Navaneet K L, Vasudha Todi, Venkatesh Babu Radhakrishnan, Anirban Chakraborty, Indian Institute of Science, India

IFS-L2.5: ON THE ADVERSARIAL ROBUSTNESS OF SUBSPACE LEARNING
Fuwei Li, Lifeng Lai, Shuguang Cui, University of California, Davis, United States

IFS-L2.6: CLONABILITY OF ANTI-COUNTERFEITING PRINTABLE GRAPHICAL CODES: A MACHINE LEARNING APPROACH
Olga Taran, Slavi Bonev, Slava Voloshynovskiy, University of Geneva, Switzerland

IFS-P1: Forensics, Security and Privacy II

IFS-P1.1: INPAINTING IN OMNIDIRECTIONAL IMAGES FOR PRIVACY PROTECTION
Evgeniy Upenik, Pinar Akyazi, Mehmet Tuzmen, Touradj Ebrahimi, École Polytechnique Fédérale de Lausanne, Switzerland

IFS-P1.2: GRAPH SPECTRAL DOMAIN BLIND WATERMARKING
Hiba Al-Khafaji, Charith Abhayaratne, The University of Sheffield, United Kingdom

IFS-P1.3: FACTORS AFFECTING ENF BASED TIME-OF-RECORDING ESTIMATION FOR VIDEO
Saffet Vatansever, Bursa Technical University, Turkey; Ahmet Emir Dirik, Uludag University, Turkey; Nasir Memon, New York University, United States

IFS-P1.4: SCENE PRIVACY PROTECTION
Chau Yi Li, Ali Shahin Shamsabadi, Ricardo Sanchez-Matilla, Riccardo Mazzon, Andrea Cavallaro, Queen Mary University of London, United Kingdom

IFS-P1.5: SENTIMENT AWARE FAKE NEWS DETECTION ON ONLINE SOCIAL NETWORKS
Oluwaseun Ajao, Sheffield Hallam University, United Kingdom; Deepayan Bhowmik, University of Stirling, United Kingdom; Shahrzad Zargari, Sheffield Hallam University, United Kingdom

IFS-P1.6: FLEXIBLE DESIGN OF FINITE BLOCKLENGTH WIRETAP CODES BY AUTOENCODERS
Karl-Ludwig Besser, Carsten R. Janda, Pin-Hsun Lin, Eduard A. Jorswieck, Technische Universität Dresden, Germany

IFS-P1.7: STRATEGIC TRUST IN CLOUD-ENABLED CYBER-PHYSICAL SYSTEMS WITH AN APPLICATION TO GLUCOSE CONTROL
Jeffrey Pawlick, Quanyan Zhu, New York University, United States

IFS-P1.8: SECURE BEAMFORMING IN DOWNLINK MIMO NONORTHOGONAL MULTIPLE ACCESS NETWORKS
Miao Jiang, Yiqing Li, Qi Zhang, Quanzhong Li, Jiayin Qin, Sun Yat-Sen University, China

IFS-P2: Attacks and Detection

IFS-P2.1: DATA POISONING ATTACKS AGAINST MRMR
Heng Liu, Gregory Ditzler, University of Arizona, United States

IFS-P2.2: NEGATIVE CORRELATION, NON-LINEAR FILTERING, AND DISCOVERING OF REPETITIVENESS FOR CACHE TIMING CHANNEL DETECTION
Hongyu Fang, The George Washington University, United States; Fan Yao, University of Central Florida, United States; Milos Doroslovacki, Guru Venkataramani, The George Washington University, United States

IFS-P2.3: ANALYSIS OF INFORMATION DIFFUSION WITH IRRATIONAL USERS: A GRAPHICAL EVOLUTIONARY GAME APPROACH
Yuejiang Li, Tsinghua University, China; Benliu Qiu, Yan Chen, University of Electronic Science and Technology of China, China; H. Vicky Zhao, Tsinghua University, China

IFS-P2.4: DETECTABILITY OF DENIAL-OF-SERVICE ATTACKS ON COMMUNICATION SYSTEMS
Holger Boche, Technische Universität München, Germany; Rafael F. Schaefer, Technische Universität Berlin, Germany; H. Vincent Poor, Princeton University, United States

IFS-P2.5: IMPROVING OBJECT DETECTION WITH RELATION GRAPH INFERENCE
Chen-Hang He, Shun-Cheung Lai, Kin-Man Lam, The Hong Kong Polytechnic University, Hong Kong SAR of China

IFS-P2.6: VIEW-INVARIANT ACTION RECOGNITION FROM RGB DATA VIA 3D POSE ESTIMATION
Renato Baptista, Enjie Ghorbel, Konstantinos Papadopoulos, Girum Demisse, Djamila Aouada, Björn Ottersten, University of Luxembourg, Luxembourg

IFS-P2.7: PREDICTING THE SECRET PARAMETERS OF A CHAOTIC RANDOM NUMBER GENERATOR FROM TIME SERIES
Salih Ergun, ERGTECH Research Center, Switzerland

IFS-P2.8: PHYLOGENETIC ANALYSIS OF SOFTWARE USING CACHE MISS STATISTICS
Sebastiano Verde, Simone Milani, Giancarlo Calvagno, University of Padova, Italy

IFS-P2.9: BIAS-BASED BINARY FINGERPRINTING CODE UNDER ERASURE CHANNEL
Minoru Kuribayashi, Okayama University, Japan

IFS-P3: Biometrics

IFS-P3.1: TYPE AND LEAK YOUR ETHNICITY ON SMARTPHONES
Hadiyattullahi Tanko Aliyu, Yogachandran Rahulamathavan, Loughborough University, United Kingdom

IFS-P3.2: IMPROVING EYE MOVEMENT BIOMETRICS USING REMOTE REGISTRATION OF EYE BLINKING PATTERNS
Sherif Seha, Georgios Papangelakis, Dimitrios Hatzinakos, University of Toronto, Canada; Ali Shahidi Zandi, Felix Je Comeau, Alcohol Countermeasure Systems Inc., Canada

IFS-P3.4: PHONESPOOF: A NEW DATASET FOR SPOOFING ATTACK DETECTION IN TELEPHONE CHANNEL
Galina Lavrentyeva, Sergey Novoselov, STC-innovations, Russia; Marina Volkova, STC Ltd., Russia; Yuri Matveev, ITMO University, Russia; Maria De Marsico, Sapienza University of Rome, Italy

IFS-P3.5: "HELLO? WHO AM I TALKING TO?" A SHALLOW CNN APPROACH FOR HUMAN VS. BOT SPEECH CLASSIFICATION
Alessandro Lieto, Daniele Moro, Francesco Devoti, Claudia Parera, Vincenzo Lipari, Paolo Bestagini, Stefano Tubaro, Politecnico di Milano, Italy

IFS-P3.6: TURNING A VULNERABILITY INTO AN ASSET: ACCELERATING FACIAL IDENTIFICATION WITH MORPHING
Pawel Drozdowski, Hochschule Darmstadt and Norwegian University of Science and Technology, Germany; Christian Rathgeb, Christoph Busch, Hochschule Darmstadt, Germany

IFS-P3.7: DETECTION OF VOICE TRANSFORMATION SPOOFING BASED ON DENSE CONVOLUTIONAL NETWORK
Yong Wang, Zhuoyi Su, Guangdong Polytechnic Normal University, China

IFS-P3.8: AGGREGATION AND EMBEDDING FOR GROUP MEMBERSHIP VERIFICATION
Marzieh Gheisari, Teddy Furon, Inria, Rennes, France; Laurent Amsaleg, CNRS-IRISA, Rennes, France, France; Behrooz Razeghi, Slava Voloshynovskiy, University of Geneva, Switzerland

IFS-P3.9: CLEANING ADVERSARIAL PERTURBATIONS VIA RESIDUAL GENERATIVE NETWORK FOR FACE VERIFICATION
Yuying Su, Guangling Sun, Weiqi Fan, Xiaofeng Lu, Zhi Liu, Shanghai University, China

IFS-P3.10: SELECTIVE JPEG2000 ENCRYPTION OF IRIS DATA: PROTECTING SAMPLE DATA VS. NORMALISED TEXTURE
Martin Rieger, Jutta Hämmerle-Uhl, Andreas Uhl, University of Salzburg, Austria

IFS-P3.11: ANALYSIS OF REVERBERATION VIA TEAGER ENERGY FEATURES FOR REPLAY SPOOF SPEECH DETECTION
Madhu Kamble, Hemant Patil, Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), India

IFS-P3.12: SECURING SMARTPHONE HANDWRITTEN PIN CODES WITH RECURRENT NEURAL NETWORKS
Gaël Le Lan, Vincent Frey, Orange Labs, France

IFS-P4: Steganography, Watermarking and Secret Sharing Systems

IFS-P4.1: A NEW SPATIAL STEGANOGRAPHIC SCHEME BY MODELING IMAGE RESIDUALS WITH MULTIVARIATE GAUSSIAN MODEL
Xinghong Qin, Bin Li, Jiwu Huang, Shenzhen University, China

IFS-P4.2: ATTACKS ON DIGITAL WATERMARKS FOR DEEP NEURAL NETWORKS
Tianhao Wang, Florian Kerschbaum, University of Waterloo, Canada

IFS-P4.3: RHFCN: FULLY CNN-BASED STEGANALYSIS OF MP3 WITH RICH HIGH-PASS FILTERING
Yuntao Wang, Xiaowei Yi, Xianfeng Zhao, Ante Su, State Key Laboratory of Information Security, Institute of Information Engineering Chinese Academy of Sciences and School of Cyber Security, University of Chinese Academy of Sciences, China

IFS-P4.4: INAUDIBLE SPEECH WATERMARKING BASED ON SELF-COMPENSATED ECHO-HIDING AND SPARSE SUBSPACE CLUSTERING
Shengbei Wang, Weitao Yuan, Jianming Wang, Tianjin Polytechnic University, China; Masashi Unoki, Japan Advanced Institute of Science and Technology, Japan

IFS-P4.5: QUANTIZED GAUSSIAN EMBEDDING STEGANOGRAPHY
Mehdi Sharifzadeh, Mohammed Aloraini, Dan Schonfeld, University of Illinois at Chicago, United States

IFS-P4.6: DIGITALLY ANNEALED SOLUTION FOR THE VERTEX COVER PROBLEM WITH APPLICATION IN CYBER SECURITY
Mohammad Javad-Kalbasi, Isfahan University of Technology, Iran; Keivan Dabiri, Shahrokh Valaee, Ali Sheikholeslami, University of Toronto, Canada

IFS-P4.7: MAXIMALLY SEPARATED AVERAGES PREDICTION FOR HIGH FIDELITY REVERSIBLE DATA HIDING
Dibakar Hazarika, Sobhan Kanti Dhara, Debashis Sen, Indian Institute of Technology Kharagpur, India

IFS-P4.8: PREDICTION-ERROR-ORDERING FOR HIGH-FIDELITY REVERSIBLE DATA HIDING
Ioan Catalin Dragoi, Dinu Coltuc, Valahia University of Targoviste, Romania

IFS-P4.9: A FORMAT-COMPLIANT SELECTIVE SECRET 3D OBJECT SHARING SCHEME BASED ON SHAMIR’S SCHEME
Sébastien Beugnon, LIRMM/STRATEGIES, France; William Puech, LIRMM/Univ. Montpellier, France; Jean-Pierre Pedeboy, STRATEGIES, France

IFS-P5: Forensics, Security and Privacy I

IFS-P5.1: DETECTION OF REAL-WORLD FIGHTS IN SURVEILLANCE VIDEOS
Mauricio Perez, Alex C. Kot, Nanyang Technological University, Singapore; Anderson Rocha, University of Campinas, Brazil

IFS-P5.2: ENF SIGNAL EXTRACTION FOR ROLLING-SHUTTER VIDEOS USING PERIODIC ZERO-PADDING
Jisoo Choi, Chau-Wai Wong, North Carolina State University, United States

IFS-P5.3: DIFFERENTIALLY PRIVATE GREEDY DECISION FOREST
Bangzhou Xin, Wei Yang, Shaowei Wang, Liusheng Huang, University of Science and Technology of China, China

IFS-P5.4: SHADOW REMOVAL DETECTION AND LOCALIZATION FOR FORENSICS ANALYSIS
Sri Kalyan Yarlagadda, David Güera, Daniel Mas Montserrat, Fengqing Zhu, Purdue University, United States; Paolo Bestagini, Stefano Tubaro, Politecnico di Milano, Italy; Edward Delp, Purdue University, United States

IFS-P5.5: REDUCED COMPLEXITY IMAGE CLUSTERING BASED ON CAMERA FINGERPRINTS
Sahib Khan, Tiziano Bianchi, Politecnico di Torino, Italy

IFS-P5.7: PRIVACY-COST TRADE-OFF IN A SMART METER SYSTEM WITH A RENEWABLE ENERGY SOURCE AND A RECHARGEABLE BATTERY
Ecenaz Erdemir, Pier Luigi Dragotti, Deniz Gunduz, Imperial College London, United Kingdom

IFS-P5.8: A NEEDLE IN A HAYSTACK? HARNESSING ONOMATOPOEIA AND USER-SPECIFIC STYLOMETRICS FOR AUTHORSHIP ATTRIBUTION OF MICRO-MESSAGES
Antônio Theóphilo, Luís A. M. Pereira, Anderson Rocha, University of Campinas, Brazil

IDSP-P1: Signal Processing for Emerging and Practical Applications

IDSP-P1.1: LOW POWER ULTRASONIC GESTURE RECOGNITION FOR MOBILE HANDSETS
Costas Yiallourides, Pablo Peso Parada, Cirrus Logic Inc., United Kingdom

IDSP-P1.2: SIMULTANEOUS OPTIMIZATION OF FORGETTING FACTOR AND TIME-FREQUENCY MASK FOR BLOCK ONLINE MULTI-CHANNEL SPEECH ENHANCEMENT
Masahito Togami, Line corporation, Japan

IDSP-P1.3: RECONFIGURABLE MULTITASK AUDIO DYNAMICS PROCESSING SCHEME
Jun Yang, Amit S. Chhetri, Carlo Murgia, Philip Hilmes, Amazon Lab126, United States

IDSP-P1.4: WORD CHARACTERS AND PHONE PRONUNCIATION EMBEDDING FOR ASR CONFIDENCE CLASSIFIER
Kshitiz Kumar, Tasos Anastasakos, Yifan Gong, Microsoft, United States

IDSP-P1.5: LEARNING EFFICIENT SPARSE STRUCTURES IN SPEECH RECOGNITION
Jingchi Zhang, Wei Wen, Duke University, United States; Michael Deisher, Intel Corporation, United States; Hsin-Pai Cheng, Hai Li, Yiran Chen, Duke University, United States

IDSP-P1.6: A NOISE ROBUST HEARABLE DEVICE WITH AN ADAPTIVE NOISE CANCELLER AND ITS DSP IMPLEMENTATION
Akihiko Sugiyama, NEC Corporation, Japan; Ryoji Miyahara, NEC Platforms, Ltd., Japan; Kouji Oosugi, NEC Corporation, Japan

IDSP-P1.7: DEVELOPMENT AND EVALUATION OF JAPANESE TEXT-TO-SPEECH MIDDLEWARE FOR 32-BIT MICROCONTROLLERS
Nobuyuki Nishizawa, Tomohiro Obara, Gen Hattori, KDDI Research, Inc., Japan

IDSP-P1.8: COMPUTATIONAL COGNITIVE ASSESSMENT: INVESTIGATING THE USE OF AN INTELLIGENT VIRTUAL AGENT FOR THE DETECTION OF EARLY SIGNS OF DEMENTIA
Bahman Mirheidari, Daniel Blackburn, Ronan O'Malley, Traci Walker, Annalena Venneri, Markus Reuber, Heidi Christensen, University of Sheffield, United Kingdom

IDSP-P1.9: CANONICAL CORRELATION BASED FEATURE EXTRACTION WITH APPLICATION TO ANOMALY DETECTION IN ELECTRIC APPLIANCES
Murtuza Petladwala, Yuko Ishii, Mitsuru Sendoda, Reishi Kondo, NEC Corporation, Japan

IDSP-P1.10: PERFORMANCE OF JENSEN SHANNON DIVERGENCE IN INCIPIENT FAULT DETECTION AND ESTIMATION
Zhang Xiaoxia, Delpha Claude, Laboratoire des Signaux et Systèmes (CNRS, CentraleSupelec, Univ. Paris Sud), France; Diallo Demba, Geeps (CNRS, CentraleSupelec, Univ. Paris Sud, Sorbonne Univ.), France

IDSP-P1.11: BAYESIAN-OPTIMIZED BIDIRECTIONAL LSTM REGRESSION MODEL FOR NON-INTRUSIVE LOAD MONITORING
Maria Kaselimi, Nikolaos Doulamis, Anastasios Doulamis, National Technical University of Athens, Greece; Athanasios Voulodimos, University of West Attica, Greece; Eftychios Protopapadakis, National Technical University of Athens, Greece

IDSP-P1.12: DETECTING AND CLASSIFYING RAIL CORRUGATION BASED ON AXLE BEARING VIBRATION
Karoline Alten, Andreas Fuchs, AIT Austrian Institute of Technology GmbH, Austria

MLSP-L1: Deep Learning Applications I

MLSP-L1.1: PEAK DETECTION AND BASELINE CORRECTION USING A CONVOLUTIONAL NEURAL NETWORK
Mikkel N. Schmidt, Tommy S. Alstrøm, Marcus Svendstorp, Jan Larsen, Technical University of Denmark, Denmark

MLSP-L1.2: DEEP LEARNING THE EEG MANIFOLD FOR PHONOLOGICAL CATEGORIZATION FROM ACTIVE THOUGHTS
Pramit Saha, Muhammad Abdul-Mageed, Sidney Fels, University of British Columbia, Canada

MLSP-L1.3: IMPROVE DIVERSE TEXT GENERATION BY SELF LABELING CONDITIONAL VARIATIONAL AUTO ENCODER
Yuchi Zhang, Yongliang Wang, Liping Zhang, Zhiqiang Zhang, Kun Gai, Alibaba Group, China

MLSP-L1.4: FULLY DATA-DRIVEN CONVOLUTIONAL FILTERS WITH DEEP LEARNING MODELS FOR EPILEPTIC SPIKE DETECTION
Kosuke Fukumori, Tokyo University of Agriculture and Technology, Japan; Thu Nguyen, International University, VNU-HCMC, Viet Nam; Noboru Yoshida, Juntendo University Nerima Hospital, Japan; Toshihisa Tanaka, Tokyo University of Agriculture and Technology, Japan

MLSP-L1.5: ADVERSARIALLY TRAINED AUTOENCODERS FOR PARALLEL-DATA-FREE VOICE CONVERSION
Orhan Ocal, University of California, Berkeley, United States; Oguz H. Elibol, Gokce Keskin, Cory Stephenson, Anil Thomas, Intel AI Lab, United States; Kannan Ramchandran, University of California, Berkeley, United States

MLSP-L1.6: STATIC AND DYNAMIC STATE PREDICTIONS FOR ACOUSTIC MODEL COMBINATION
Kshitiz Kumar, Yifan Gong, Microsoft, United States

MLSP-L2: Deep Learning I

MLSP-L2.1: A TRAINING METHOD USING DNN-GUIDED LAYERWISE PRETRAINING FOR DEEP GAUSSIAN PROCESSES
Tomoki Koriyama, Takao Kobayashi, Tokyo Institute of Technology, Japan

MLSP-L2.2: JOINTLY SPARSE CONVOLUTIONAL NEURAL NETWORKS IN DUAL SPATIAL-WINOGRAD DOMAINS
Yoojin Choi, Mostafa El-Khamy, Jungwon Lee, Samsung Semiconductor Inc., United States

MLSP-L2.3: A PENALIZED AUTOENCODER APPROACH FOR NONLINEAR INDEPENDENT COMPONENT ANALYSIS
Tianwen Wei, Xiaomi Inc., China; Stéphane Chrétien, National Physical Laboratory, United Kingdom

MLSP-L2.4: PRUNE YOUR NEURONS BLINDLY: NEURAL NETWORK COMPRESSION THROUGH STRUCTURED CLASS-BLIND PRUNING
Abdullah Salama, SAP SE & Hamburg University of Technology, Germany; Oleksiy Ostapenko, SAP SE & Humboldt University of Berlin, Germany; Tassilo Klein, Moin Nabi, SAP SE, Germany

MLSP-L2.5: DADA: DEEP ADVERSARIAL DATA AUGMENTATION FOR EXTREMELY LOW DATA REGIME CLASSIFICATION
Xiaofeng Zhang, University of Science and Technology of China, China; Zhangyang Wang, Texas A&M University, United States; Dong Liu, University of Science and Technology of China, China; Qing Ling, Sun Yat-Sen University, China

MLSP-L2.6: UNDERSTANDING DEEP NEURAL NETWORKS THROUGH INPUT UNCERTAINTIES
Jayaraman J. Thiagarajan, Lawrence Livermore National Laboratory, United States; Irene Kim, University of California, Davis, United States; Rushil Anirudh, Peer-Timo Bremer, Lawrence Livermore National Laboratory, United States

MLSP-L3: Audio, Speech, and Natural Language Processing

MLSP-L3.1: HMM-BASED APPROACHES TO MODEL MULTICHANNEL INFORMATION IN SIGN LANGUAGE INSPIRED FROM ARTICULATORY FEATURES-BASED SPEECH PROCESSING
Sandrine Tornay, Idiap Research Institute, Switzerland; Marzieh Razavi, Telepathy Labs GmbH, Switzerland; Necati Cihan Camgoz, Richard Bowden, University of Surrey, United Kingdom; Mathew Magimai.-Doss, Idiap Research Institute, Switzerland

MLSP-L3.2: SPEECH EMOTION RECOGNITION USING MULTI-HOP ATTENTION MECHANISM
Seunghyun Yoon, Seokhyun Byun, Seoul National University, Korea (South); Subhadeep Dey, Idiap Research Institute, Switzerland; Kyomin Jung, Seoul National University, Korea (South)

MLSP-L3.3: HOW TRANSFERABLE ARE FEATURES IN CONVOLUTIONAL NEURAL NETWORK ACOUSTIC MODELS ACROSS LANGUAGES?
Jessica Thompson, Université de Montréal, Canada; Marc Schönwiesner, University of Leipzig, Germany; Yoshua Bengio, Quebec Institute for Learning Algorithms (Mila), Canada; Daniel Willett, Nuance Communications, Germany

MLSP-L3.4: GRADIENT-BASED ACTIVE LEARNING QUERY STRATEGY FOR END-TO-END SPEECH RECOGNITION
Yang Yuan, Soo-Whan Chung, Hong-Goo Kang, Yonsei University, Korea (South)

MLSP-L3.5: SEMI-SUPERVISED TRAINING FOR END-TO-END MODELS VIA WEAK DISTILLATION
Bo Li, Tara N. Sainath, Ruoming Pang, Zelin Wu, Google, Inc., United States

MLSP-L3.6: STOCHASTIC ADAPTIVE NEURAL ARCHITECTURE SEARCH FOR KEYWORD SPOTTING
Tom Véniat, Olivier Schwander, Sorbonne Université, France; Ludovic Denoyer, Facebook, France

MLSP-L4: Learning Theory and Methods I

MLSP-L4.1: BIAS MITIGATION POST-PROCESSING FOR INDIVIDUAL AND GROUP FAIRNESS
Pranay Lohia, Karthikeyan Natesan Ramamurthy, IBM Research, India; Manish Bhide, IBM Watson AI Platform, India; Diptikalyan Saha, Kush Varshney, IBM Research, India; Ruchir Puri, IBM Watson AI Platform, United States

MLSP-L4.2: INFERENCE ABOUT CAUSALITY FROM CARDIOTOCOGRAPHY SIGNALS USING GAUSSIAN PROCESSES
Guanchao Feng, Stony Brook University, United States; J. Gerald Quirk, Stony Brook University Hospital, United States; Petar Djuric, Stony Brook University, United States

MLSP-L4.3: CONVERGENCE BOUNDS FOR COMPRESSED GRADIENT METHODS WITH MEMORY BASED ERROR COMPENSATION
Sarit Khirirat, Royal Institute of Technology, Sweden; Sindri Sindri Magnússon, Harvard University, United States; Mikael Johansson, Royal Institute of Technology, Sweden

MLSP-L4.4: EFFICIENT STOCHASTIC SUBGRADIENT DESCENT ALGORITHMS FOR HIGH-DIMENSIONAL SEMI-SPARSE GRAPHICAL MODEL SELECTION
Songwei Wu, Hang Yu, Justin Dauwels, Nanyang Technological University, Singapore

MLSP-L4.5: ANOMALY DETECTION IN SINGLE SUBJECT VS GROUP USING MANIFOLD LEARNING
Florian Tilquin, Sylvain Faisan, Fabrice Heitz, Vincent Noblet, Frédéric Blanc, Izzie Namer, Université de Strasbourg, CNRS, France

MLSP-L4.6: DETECTING CYBER ATTACKS USING ANOMALY DETECTION WITH EXPLANATIONS AND EXPERT FEEDBACK
Md Amran Siddiqui, Oregon State University, United States; Jack W. Stokes, Christian Seifert, Evan Argyle, Robert McCann, Joshua Neil, Justin Carroll, Microsoft, United States

MLSP-L5: Deep Learning Applications II

MLSP-L5.1: FORKED RECURRENT NEURAL NETWORK FOR HAND GESTURE CLASSIFICATION USING INERTIAL MEASUREMENT DATA
Philipp Koch, Nele Brügge, University of Lübeck, Germany; Huy Phan, University of Kent, United Kingdom; Marco Maass, Alfred Mertins, University of Lübeck, Germany

MLSP-L5.2: MISSING DATA IN TRAFFIC ESTIMATION: A VARIATIONAL AUTOENCODER IMPUTATION METHOD
Guillem Boquet, Jose Lopez Vicario, Antoni Morell, Javier Serrano, Universitat Autònoma de Barcelona, Spain

MLSP-L5.3: SURGICAL ACTIVITIES RECOGNITION USING MULTI-SCALE RECURRENT NETWORKS
Ilker Gurcan, Hien Nguyen Van, University of Houston, United States

MLSP-L5.4: LOW-COST MEASUREMENT OF INDUSTRIAL SHOCK SIGNALS VIA DEEP LEARNING CALIBRATION
Houpu Yao, Arizona State University, United States; Jingjing Wen, Northwestern Polytechnical University, China; Yi Ren, Bin Wu, Arizona State University, United States; Ze Ji, Cardiff University, United Kingdom

MLSP-L5.5: EFFICIENT MULTI-AGENT COOPERATIVE NAVIGATION IN UNKNOWN ENVIRONMENTS WITH INTERLACED DEEP REINFORCEMENT LEARNING
Yue Jin, Yaodong Zhang, Jian Yuan, Xudong Zhang, Tsinghua University, China

MLSP-L5.6: DEEP COMPLEX-VALUED NEURAL BEAMFORMERS
Lukas Pfeifenberger, Matthias Zöhrer, Franz Pernkopf, Graz University of Technology, Austria

MLSP-L6: Matrix and Tensor Methods I

MLSP-L6.1: FAST AND GLOBAL OPTIMAL NONCONVEX MATRIX FACTORIZATION VIA PERTURBED ALTERNATING PROXIMAL POINT
Songtao Lu, Mingyi Hong, University of Minnesota Twin Cities, United States; Zhengdao Wang, Iowa State University, United States

MLSP-L6.2: STATISTICAL RANK SELECTION FOR INCOMPLETE LOW-RANK MATRICES
Rui Zhang, Alexander Shapiro, Yao Xie, Georgia Institute of Technology, United States

MLSP-L6.3: ACCELERATING ITERATIVE HARD THRESHOLDING FOR LOW-RANK MATRIX COMPLETION VIA ADAPTIVE RESTART
Trung Vu, Raviv Raich, Oregon State University, United States

MLSP-L6.4: LATENT SCHATTEN TT NORM FOR TENSOR COMPLETION
Andong Wang, School of Computer Science and Engineering, Nanjing University of Science and Technology; RIKEN Center for Advanced Intelligence Project, China; Xulin Song, Xiyin Wu, Nanjing University of Science and Technology, China; Zhihui Lai, Shenzhen University, China; Zhong Jin, School of Computer Science and Engineering, Nanjing University of Science and Technology; Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, China

MLSP-L6.5: COMMON MODE PATTERNS FOR SUPERVISED TENSOR SUBSPACE LEARNING
Konstantinos Makantasis, Technical University of Crete, Greece; Anastasios Doulamis, Nikolaos Doulamis, National Technical University of Athens, Greece; Athanasios Voulodimos, University of West Attica, Greece

MLSP-L6.6: REGULAR SAMPLING OF TENSOR SIGNALS: THEORY AND APPLICATION TO FMRI
Charilaos I. Kanatsoulis, University of Minnesota, United States; Nicholas D. Sidiropoulos, University of Virginia, United States; Mehmet Akcakaya, University of Minnesota, United States; Xiao Fu, Oregon State University, United States

MLSP-L7: Graph Signal Processing

MLSP-L7.1: LEARNING LAPLACIAN MATRIX FROM BANDLIMITED GRAPH SIGNALS
Batiste Le Bars, Pierre Humbert, Université Paris-Saclay, France; Laurent Oudre, Université Paris 13, France; Argyris Kalogeratos, Université Paris-Saclay, France

MLSP-L7.2: COMMUNITY DETECTION IN SPARSE REALISTIC GRAPHS: IMPROVING THE BETHE HESSIAN
Lorenzo Dall'Amico, Romain Couillet, GIPSA lab - University Grenoble Alpes, France

MLSP-L7.3: MULTIVIEW CANONICAL CORRELATION ANALYSIS OVER GRAPHS
Jia Chen, Gang Wang, Georgios B. Giannakis, University of Minnesota, United States

MLSP-L7.4: GRAPHICAL LASSO FOR HIGH-DIMENSIONAL COMPLEX GAUSSIAN GRAPHICAL MODEL SELECTION
Jitendra Tugnait, Auburn University, United States

MLSP-L7.5: DEEPWALK-ASSISTED GRAPH PCA (DGPCA) FOR LANGUAGE NETWORKS
Fenxiao Chen, Bin Wang, C.-C. Jay Kuo, University of Southern California, United States

MLSP-L7.6: SCALABLE MUTUAL INFORMATION ESTIMATION USING DEPENDENCE GRAPHS
Morteza Noshad, Yu Zeng, Alfred O. Hero, University of Michigan, United States

MLSP-L8: Compressive Sensing, Dictionary and Subspace Learning

MLSP-L8.1: FAST COMPRESSIVE SENSING RECOVERY USING GENERATIVE MODELS WITH STRUCTURED LATENT VARIABLES
Shaojie Xu, Sihan Zeng, Justin Romberg, Georgia Institute of Technology, United States

MLSP-L8.2: ROBUST DICTIONARY LEARNING USING ALPHA-DIVERGENCE
Asif Iqbal, Abd-Krim Seghouane, The University of Melbourne, Australia

MLSP-L8.3: SIMULTANEOUS BLIND DECONVOLUTION AND PHASE RETRIEVAL WITH TENSOR ITERATIVE HARD THRESHOLDING
Shuang Li, Gongguo Tang, Michael Wakin, Colorado School of Mines, United States

MLSP-L8.4: FIRMNET: A SPARSITY AMPLIFIED DEEP NETWORK FOR SOLVING LINEAR INVERSE PROBLEMS
Praveen Kumar Pokala, Amol Ganesh Mahurkar, Chandra Sekhar Seelamantula, Indian Institute of Science, India

MLSP-L8.5: DEEP SIGNAL RECOVERY WITH ONE-BIT QUANTIZATION
Shahin Khobahi, Naveed Naimipour, Mojtaba Soltanalian, University of Illinois at Chicago, United States; Yonina C. Eldar, Technion - Israel Institute of Technology, Israel

MLSP-L8.6: BAYESIAN NEURAL NETWORKS FOR SPARSE CODING
Danil Kuzin, University of Sheffield, United Kingdom; Olga Isupova, University of Oxford, United Kingdom; Lyudmila Mihaylova, University of Sheffield, United Kingdom

MLSP-P1: Deep Learning II

MLSP-P1.1: NEURAL CRF TRANSDUCERS FOR SEQUENCE LABELING
Kai Hu, Zhijian Ou, Tsinghua University, China; Min Hu, Junlan Feng, China Mobile Research Institute, China

MLSP-P1.2: NEURAL NETWORKS SEQUENTIAL TRAINING USING VARIATIONAL GAUSSIAN PARTICLE FILTER
Mhd Modar Halimeh, Andreas Brendel, Walter Kellermann, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

MLSP-P1.3: UNSUPERVISED PERSON RE-IDENTIFICATION USING RELIABLE AND SOFT LABELS
Jun Sun, Cheolkon Jung, Xidian University, China

MLSP-P1.4: HYPERSPECTRAL IMAGE SUPER-RESOLUTION USING GENERATIVE ADVERSARIAL NETWORK AND RESIDUAL LEARNING
Qian Huang, Wei Li, Beijing University of Chemical Technology, China; Ting Hu, Ran Tao, Beijing Institute of Technology, China

MLSP-P1.5: TOWARDS VISUALLY GROUNDED SUB-WORD SPEECH UNIT DISCOVERY
David Harwath, James Glass, Massachusetts Institute of Technology, United States

MLSP-P1.6: LOW-RANK EMBEDDING OF KERNELS IN CONVOLUTIONAL NEURAL NETWORKS UNDER RANDOM SHUFFLING
Chao Li, Zhun Sun, RIKEN Center for Advanced Intelligence Project, Japan; Jinshi Yu, Guangdong University of Technology, Japan; Ming Hou, Qibin Zhao, RIKEN Center for Advanced Intelligence Project, Japan

MLSP-P1.7: END-TO-END CHANGE DETECTION USING A SYMMETRIC FULLY CONVOLUTIONAL NETWORK FOR LANDSLIDE MAPPING
Tao Lei, Qi Zhang, Dinghua Xue, Shaanxi University of Science and Technology, China; Tao Chen, China University of Geosciences, China; Hongying Meng, Asoke k. Nandi, Brunel University London, United Kingdom

MLSP-P1.8: OPTIMIZING QOE OF MULTIPLE USERS OVER DASH: A META-LEARNING APPROACH
Liangyu Huo, Zulin Wang, Mai Xu, Beihang University, China; Zhiguo Ding, The University of Manchester, United Kingdom; Xiaoming Tao, Tsinghua University, United Kingdom

MLSP-P1.9: LARGE-POSE FACE ALIGNMENT VIA SHAPE-AWARE HEATMAP
Jiaxin Si, Fei Jiang, Ruimin Shen, Shanghai Jiao Tong University, China

MLSP-P1.10: NON-LOCAL SELF-ATTENTION STRUCTURE FOR FUNCTION APPROXIMATION IN DEEP REINFORCEMENT LEARNING
Zhixiang Wang, Xi Xiao, Tsinghua University, China; Guangwu Hu, Shenzhen Institute of Information Technology, China; Yao Yao, Dianyan Zhang, Zhendong Peng, Tsinghua University, China; Qing Li, Southern University of Science and Technology, China; Shutao Xia, Tsinghua University, China

MLSP-P1.11: A TWO-CLASS HYPER-SPHERICAL AUTOENCODER FOR SUPERVISED ANOMALY DETECTION
Yuta Kawachi, Yuma Koizumi, Shin Murata, Noboru Harada, NTT Corporation, Japan

MLSP-P1.12: DIVERGENCE BASED WEIGHTING FOR INFORMATION CHANNELS IN DEEP CONVOLUTIONAL NEURAL NETWORKS FOR BIRD AUDIO DETECTION
Cemre Zor, University College London, United Kingdom; Muhammad Awais, Josef Kittler, Miroslaw Bober, Sameed Husain, Qiuqiang Kong, Christian Kroos, University of Surrey, United Kingdom

MLSP-P2: Reinforcement and Transfer Learning

MLSP-P2.1: REINFORCEMENT LEARNING WITH SAFE EXPLORATION FOR NETWORK SECURITY
Canhuang Dai, Liang Xiao, Xiaoyue Wan, Ye Chen, Xiamen University, China

MLSP-P2.2: TEAM POLICY LEARNING FOR MULTI-AGENT REINFORCEMENT LEARNING
Lucas Cassano, Sulaiman Alghunaim, University of California, Los Angeles, United States; Ali H. Sayed, École Polytechnique Fédérale de Lausanne, United States

MLSP-P2.3: DEEP REINFORCEMENT LEARNING FOR FINANCIAL TRADING USING PRICE TRAILING
Konstantinos Saitas Zarkias, Nikolaos Passalis, Avraam Tsantekidis, Anastasios Tefas, Aristotle University of Thessaloniki, Greece

MLSP-P2.4: JOINT ON-LINE LEARNING OF A ZERO-SHOT SPOKEN SEMANTIC PARSER AND A REINFORCEMENT LEARNING DIALOGUE MANAGER
Matthieu Riou, Bassam Jabaian, Stéphane Huet, Fabrice Lefèvre, University of Avignon, France

MLSP-P2.5: GRAPH SIGNAL SAMPLING VIA REINFORCEMENT LEARNING
Oleksii Abramenko, Alexander Jung, Aalto University, Finland

MLSP-P2.6: BHATTACHARYYA DISTANCE-BASED TRANSFER LEARNING FOR A HYBRID EEG-FTCD BRAIN-COMPUTER INTERFACE
Elise Dagois, Aya Khalaf, Ervin Sejdic, Murat Akçakaya, University of Pittsburgh, United States

MLSP-P2.7: A SUBJECT-TO-SUBJECT TRANSFER LEARNING FRAMEWORK BASED ON JENSEN-SHANNON DIVERGENCE FOR IMPROVING BRAIN-COMPUTER INTERFACE
Joshua Giles, University of Sheffield, United Kingdom; Kai Keng Ang, Institute for Infocomme Research, Singapore; Lyudmila Mihaylova, Mahnaz Arvaneh, University of Sheffield, United Kingdom

MLSP-P2.8: CONTENT PLACEMENT LEARNING FOR SUCCESS PROBABILITY MAXIMIZATION IN WIRELESS EDGE CACHING NETWORKS
Navneet Garg, University of Edinburgh, United Kingdom; Mathini Sellathurai, Heriot-Watt University, United Kingdom; Tharmalingam Ratnarajah, The University of Edinburgh, United Kingdom

MLSP-P2.9: ACTIVE LEARNING WITH LABEL PROPORTIONS
Rafael Poyiadzis, Raul Santos-Rodriguez, Niall Twomey, University of Bristol, United Kingdom

MLSP-P2.10: COVER: A CLUSTER-BASED VARIANCE REDUCED METHOD FOR ONLINE LEARNING
Kun Yuan, Bicheng Ying, University of California, Los Angeles, United States; Ali H. Sayed, École Polytechnique Fédérale de Lausanne, Switzerland

MLSP-P2.11: FLEXIBLE NON-NEGATIVE MATRIX FACTORIZATION WITH ADAPTIVELY LEARNED GRAPH REGULARIZATION
Yong Peng, Yanfang Long, Feiwei Qin, Wanzeng Kong, Hangzhou Dianzi University, China; Feiping Nie, Northwestern Polytechnical University, China; Andrzej Cichocki, Skolkovo Institute of Science and Technology, Russia

MLSP-P3: Learning Theory and Methods II

MLSP-P3.1: DISTRIBUTED DIFFERENTIALLY-PRIVATE CANONICAL CORRELATION ANALYSIS
Hafiz Imtiaz, Anand D. Sarwate, Rutgers University, United States

MLSP-P3.2: A DEEP NEURAL NETWORK BASED MANEUVERING-TARGET TRACKING ALGORITHM
Jingxian Liu, Zulin Wang, Mai Xu, Jie Ren, Beihang University, China

MLSP-P3.3: LEARNING TO FUSE LATENT REPRESENTATIONS FOR MULTIMODAL DATA
Oyebade Oyedotun, Djamila Aouada, Björn Ottersten, University of Luxembourg, Luxembourg

MLSP-P3.4: FEATURE SELECTION FOR MUTLTI-LABELED VARIABLES VIA DEPENDENCY MAXIMIZATION
Salimeh Yasaei Sekeh, Alfred O. Hero, University of Michigan, United States

MLSP-P3.5: PRUNING SIFT & SURF FOR EFFICIENT CLUSTERING OF NEAR-DUPLICATE IMAGES
Tushar Shankar Shinde, Anil Kumar Tiwari, Indian Institute of Technology Jodhpur, India

MLSP-P3.6: AUTOMATING THE CLASSIFICATION OF URBAN ISSUE REPORTS: AN OPTIMAL STOPPING APPROACH
Yasitha Warahena Liyanage, Daphney-Stavroula Zois, Charalampos Chelmis, Mengfan Yao, University at Albany, State University of New York, United States

MLSP-P3.7: TENSOR-RING NUCLEAR NORM MINIMIZATION AND APPLICATION FOR VISUAL DATA COMPLETION
Jinshi Yu, School of Automation, Guangdong University of Technology, China; Chao Li, Qibin Zhao, RIKEN Center for Advanced Intelligence Project, China; Guoxu Zhou, School of Automation, Guangdong University of Technology, China

MLSP-P3.8: EFFICIENT BAYESIAN MODEL SELECTION IN PARAFAC VIA STOCHASTIC THERMODYNAMIC INTEGRATION
Thanh Huy Nguyen, Umut Şimşekli, Gaël Richard, Télécom ParisTech, Université Paris-Saclay, France; Ali Taylan Cemgil, Boğaziçi University, Turkey

MLSP-P3.9: SUPERVISED KERNEL CHANGE POINT DETECTION WITH PARTIAL ANNOTATIONS
Charles Truong, CMLA, ENS Cachan, CNRS, Université Paris-Saclay, France; Laurent Oudre, L2TI, Université Paris 13, France; Nicolas Vayatis, CMLA, ENS Cachan, CNRS, Université Paris-Saclay, France

MLSP-P3.10: ON ANALYSIS OF ACTIVE QUERYING FOR RECURSIVE STATE ESTIMATION
Aziz Koçanaoğulları, Murat Akçakaya, Deniz Erdoğmuş, Northeastern University, United States

MLSP-P3.11: AUTOMATIC KERNEL WEIGHTING FOR MULTIKERNEL ADAPTIVE FILTERING: MULTISCALE ASPECTS
Kwangjin Jeong, Masahiro Yukawa, Keio University, Japan

MLSP-P3.12: OPTIMAL QUERY SELECTION USING MULTI ARMED BANDITS
Aziz Koçanaoğulları, Yeganeh M. Marghi, Northeastern University, United States; Murat Akçakaya, University of Pittsburgh, United States; Deniz Erdoğmuş, Northeastern University, United States

MLSP-P3.13: PHAST: MODEL-FREE PHASELESS SUBSPACE TRACKING
Seyedehsara Nayer, Namrata Vaswani, Iowa State University, United States

MLSP-P4: Deep Learning Applications III

MLSP-P4.1: MULTIPLE-GRAPH RECURRENT GRAPH CONVOLUTIONAL NEURAL NETWORK ARCHITECTURES FOR PREDICTING DISEASE OUTCOMES
Juliette Valenchon, Mark Coates, McGill University, Canada

MLSP-P4.2: JOINT STRUCTURED GRAPH LEARNING AND CLUSTERING BASED ON CONCEPT FACTORIZATION
Yong Peng, Rixin Tang, Wanzeng Kong, Jianhai Zhang, Hangzhou Dianzi University, China; Feiping Nie, Northwestern Polytechnical University, China; Andrzej Cichocki, Skolkovo Institute of Science and Technology, Russia

MLSP-P4.3: GENERATIVE GRAPH CONVOLUTIONAL NETWORK FOR GROWING GRAPHS
Da Xu, Chuanwei Ruan, Kamiya Motwani, Evren Korpeoglu, Sushant Kumar, Kannan Achan, Walmart Labs, United States

MLSP-P4.4: UNSUPERVISED FEATURE RANKING AND SELECTION BASED ON AUTOENCODERS
Sasan Sharifipour, Hossein Fayyazi, AI & ML Center of Part, Iran; Mohammad Sabokrou, Institute for Research in Fundamental Sciences (IPM), Iran; Ehsan Adeli, Stanford University, United States

MLSP-P4.5: D2PGGAN: TWO DISCRIMINATORS USED IN PROGRESSIVE GROWING OF GANS
Zhaoyu Zhang, Mengyan Li, Jun Yu, University of Science and Technology of China, China

MLSP-P4.6: NONLINEAR MULTI-SCALE SUPER-RESOLUTION USING DEEP LEARNING
Kenneth Tran, Ashkan Panahi, Aniruddha Adiga, North Carolina State University, United States; Wesam Sakla, Lawrence Livermore National Laboratory, United States; Hamid Krim, North Carolina State University, United States

MLSP-P4.7: DUAL-STREAM CNN FOR STRUCTURED TIME SERIES CLASSIFICATION
Shuchen Weng, Tianjin University, China; Wenbo Li, University at Albany, SUNY, United States; Yi Zhang, Tianjin University, China; Siwei Lyu, University at Albany, SUNY, United States

MLSP-P4.8: LEARNING LOW RANK AND SPARSE MODELS VIA ROBUST AUTOENCODERS
Jie Pu, Yannis Panagakis, Maja Pantic, Imperial College London, United Kingdom

MLSP-P4.9: BOOTSTRAPPING GRAPH CONVOLUTIONAL NEURAL NETWORKS FOR AUTISM SPECTRUM DISORDER CLASSIFICATION
Rushil Anirudh, Jayaraman J. Thiagarajan, Lawrence Livermore National Laboratory, United States

MLSP-P5: Deep Learning III

MLSP-P5.1: VARIATIONAL AND HIERARCHICAL RECURRENT AUTOENCODER
Jen-Tzung Chien, Chun-Wei Wang, National Chiao Tung University, Taiwan

MLSP-P5.2: DEEP LEARNING FOR MINIMAL-CONTEXT BLOCK TRACKING THROUGH SIDE-CHANNEL ANALYSIS
Louis Jensen, Gavin Brown, Xiao Wang, Jacob Harer, Sang Chin, Boston University, United States

MLSP-P5.3: DEEP CONVOLUTIONAL ROBUST PCA WITH APPLICATION TO ULTRASOUND IMAGING
Regev Cohen, Technion, Israel; Yi Zhang, Tsinghua University, China; Oren Solomon, Daniel Toberman, Liran Taieb, Technion, Israel; Ruud JG van Sloun, Eindhoven University of Technology, Netherlands; Yonina C. Eldar, Technion, Israel

MLSP-P5.4: PIGMENT UNMIXING OF HYPERSPECTRAL IMAGES OF PAINTINGS USING DEEP NEURAL NETWORKS
Neda Rohani, Emeline Pouyet, Marc Walton, Oliver Cossairt, Aggelos Katsaggelos, Northwestern University, United States

MLSP-P5.5: ATTENTION IN RECURRENT NEURAL NETWORKS FOR RANSOMWARE DETECTION
Rakshit Agrawal, University of California, Santa Cruz, United States; Jack W. Stokes, Microsoft Research, United States; Karthik Selvaraj, Mady Marinescu, Microsoft Corporation, United States

MLSP-P5.6: DRAWING ORDER RECOVERY FOR HANDWRITING CHINESE CHARACTERS
Bocheng Zhao, Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China, School of Computer and Control Engineering, University of Chinese Academy of Sciences, China; Minghao Yang, Laboratory of Pattern Recognition, Institute of Automation, CAS / CAS Center for Excellence in Brain Science and Intelligence Technology, China; Jianhua Tao, Laboratory of Pattern Recognition, Institute of Automation, CAS / CAS Center for Excellence in Brain Science and Intelligence Technology, CAS / School of Computer and Control Engineering, University of Chinese Academy of Sciences, China

MLSP-P5.7: DIRECT ESTIMATION OF WEIGHTS AND EFFICIENT TRAINING OF DEEP NEURAL NETWORKS WITHOUT SGD
Nima Dehmamy, Northeastern University, United States; Neda Rohani, Aggelos Katsaggelos, Northwestern University, United States

MLSP-P5.8: DENOISING GRAVITATIONAL WAVES WITH ENHANCED DEEP RECURRENT DENOISING AUTO-ENCODERS
Hongyu Shen, Daniel George, E. A. Huerta, Zhizhen Zhao, University of Illinois at Urbana-Champaign, United States

MLSP-P5.9: DEEP SPLINE NETWORKS WITH CONTROL OF LIPSCHITZ REGULARITY
Shayan Aziznejad, Michael Unser, École Polytechnique Fédérale de Lausanne, Switzerland

MLSP-P5.10: DEEP NEURAL NETWORKS FOR LOW-RESOLUTION PHOTON-LIMITED IMAGING
Omar DeGuchy, Fabian Santiago, University of California, Merced, United States; Mario Banuelos, California State University, Fresno, United States; Roummel Marcia, University of California, Merced, United States

MLSP-P5.11: ADVERSARIAL MULTI-LABEL PREDICTION FOR SPOKEN AND VISUAL SIGNAL TAGGING
Yue Deng, KaWai Chen, Yilin Shen, Hongxia Jin, Samsung Research America, United States

MLSP-P5.12: RECURRENT DEEP DIVERGENCE-BASED CLUSTERING FOR SIMULTANEOUS FEATURE LEARNING AND CLUSTERING OF VARIABLE LENGTH TIME SERIES
Daniel J. Trosten, Andreas S. Strauman, Michael Kampffmeyer, Robert Jenssen, University of Tromsø - The Arctic University of Norway, Norway

MLSP-P6: Adversarial Learning

MLSP-P6.1: EMBEDDING PHYSICAL AUGMENTATION AND WAVELET SCATTERING TRANSFORM TO GENERATIVE ADVERSARIAL NETWORKS FOR AUDIO CLASSIFICATION WITH LIMITED TRAINING RESOURCES
Teh Kah Kuan, Tran Huy Dat, Institute for Infocomm Research, A*STAR Singapore, Singapore

MLSP-P6.2: ADVERSARIAL INPAINTING OF MEDICAL IMAGE MODALITIES
Karim Armanious, University of Stuttgart, Germany; Youssef Mecky, German University in Cairo, Egypt; Sergios Gatidis, University of Tübingen, Germany; Bin Yang, University of Stuttgart, Germany

MLSP-P6.3: TOWARDS UNSUPERVISED SINGLE-CHANNEL BLIND SOURCE SEPARATION USING ADVERSARIAL PAIR UNMIX-AND-REMIX
Yedid Hoshen, Facebook AI Research and Hebrew University of Jerusalem, Israel

MLSP-P6.4: EFFICIENT RANDOMIZED DEFENSE AGAINST ADVERSARIAL ATTACKS IN DEEP CONVOLUTIONAL NEURAL NETWORKS
Fatemeh Sheikholeslami, University of Minnesota, United States; Swayambhoo Jain, Technicolor AI Lab, United States; Georgios B. Giannakis, University of Minnesota, United States

MLSP-P6.5: POSTFILTERING USING AN ADVERSARIAL DENOISING AUTOENCODER WITH NOISE-AWARE TRAINING
Naohiro Tawara, Hikari Tanabe, Tetsunori Kobayashi, Waseda University, Japan; Masaru Fujieda, Kazuhiro Katagiri, Takashi Yazu, OKI Electric Industry Co., Ltd, Japan; Tetsuji Ogawa, Waseda University, Japan

MLSP-P7: Machine Learning Applications I

MLSP-P7.1: ADAPTIVE ADJUSTMENT WITH SEMANTIC FEATURE SPACE FOR ZERO-SHOT RECOGNITION
Jingcai Guo, Song Guo, The Hong Kong Polytechnic University, Hong Kong SAR of China

MLSP-P7.2: SPARSE LEARNING OF PARSIMONIOUS REPRODUCING KERNEL HILBERT SPACE MODELS
Maria Peifer, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro, University of Pennsylvania, United States

MLSP-P7.3: DEEP EMBEDDINGS FOR RARE AUDIO EVENT DETECTION WITH IMBALANCED DATA
Vipul Arora, Indian Institute of Technology Kanpur, India; Ming Sun, Chao Wang, Amazon Alexa, United States

MLSP-P7.4: TCN: TRANSFERABLE COUPLED NETWORK FOR CROSS-RESOLUTION FACE RECOGNITION
Juan Zha, Hongyang Chao, Sun Yat-Sen University, China

MLSP-P7.5: INDUCTIVE CONFORMAL PREDICTOR FOR SPARSE CODING CLASSIFIERS: APPLICATIONS TO IMAGE CLASSIFICATION
Sergio Matiz, Kenneth Barner, University of Delaware, United States

MLSP-P7.6: HIERARCHICAL RESIDUAL-PYRAMIDAL MODEL FOR LARGE CONTEXT BASED MEDIA PRESENCE DETECTION
Qingming Tang, TTIC, United States; Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Chao Wang, Amazon Alexa, United States

MLSP-P7.7: DSNET: ACCELERATE INDOOR SCENE SEMANTIC SEGMENTATION
Feng Jiang, Feng Guo, Rongrong Ji, Xiamen University, China

MLSP-P7.8: ON ROLE AND LOCATION OF NORMALIZATION BEFORE MODEL-BASED DATA AUGMENTATION IN RESIDUAL BLOCKS FOR CLASSIFICATION TASKS
Che-Wei Huang, Shrikanth Narayanan, University of Southern California, United States

MLSP-P7.9: ADAPTIVE FILTERING FOR EVENT RECOGNITION FROM NOISY SIGNAL: AN APPLICATION TO EARTHQUAKE DETECTION
Zhongping Zhang, Youzuo Lin, Zheng Zhou, Los Alamos National Laboratory, United States; Tianlang Chen, University of Rochester, United States

MLSP-P7.10: UNSUPERVISED USER CLUSTERING IN NON-ORTHOGONAL MULTIPLE ACCESS
Jie Ren, Zulin Wang, Mai Xu, Beihang University, China; Fang Fang, Zhiguo Ding, School of Electrical and Electronic Engineering, the University of Manchester, Manchester, M13 9PL, UK, United Kingdom

MLSP-P7.11: IMITATION REFINEMENT FOR X-RAY DIFFRACTION SIGNAL PROCESSING
Junwen Bai, Cornell University, United States; Zihang Lai, University of Oxford, United Kingdom; Runzhe Yang, Princeton University, United States; Yexiang Xue, Purdue University, United States; John Gregoire, California Institute of Technology, United States; Carla Gomes, Cornell University, United States

MLSP-P7.12: PREDICTION OF MULTI-TARGET DYNAMICS USING DISCRETE DESCRIPTORS: AN INTERACTIVE APPROACH
Mohamad Baydoun, Damian Campo, Divya Kanapram, Lucio Marcenaro, Carlo Regazzoni, University of Genoa, Italy

MLSP-P7.13: LEARNING COMPACT PARTIAL DIFFERENTIAL EQUATIONS FOR COLOR IMAGES WITH EFFICIENCY
Zhenyu Zhao, Chenping Hou, Bo Lin, National University of Defense Technology, China; Cong Fang, Peking University, China

MLSP-P8: Probabilistic Models

MLSP-P8.1: HYPER-PARAMETER LEARNING FOR SPARSE STRUCTURED PROBABILISTIC MODELS
Tatiana Shpakova, Francis Bach, Institut national de recherche en informatique et en automatique - École normale supérieure, France; Michael Davies, The University of Edinburgh, United Kingdom

MLSP-P8.2: UNIFYING PROBABILISTIC MODELS FOR TIME-FREQUENCY ANALYSIS
William Wilkinson, Queen Mary University of London, United Kingdom; Michael Riis Andersen, Aalto University, Finland; Joshua D. Reiss, Dan Stowell, Queen Mary University of London, United Kingdom; Arno Solin, Aalto University, Finland

MLSP-P8.3: A LARGE SCALE ANALYSIS OF LOGISTIC REGRESSION: ASYMPTOTIC PERFORMANCE AND NEW INSIGHTS
Xiaoyi Mai, Zhenyu Liao, L2S, CentraleSupelec, France; Romain Couillet, GIPSA-lab, University of Grenoble-Alpes, France

MLSP-P8.4: A HISTORY-BASED STOPPING CRITERION IN RECURSIVE BAYESIAN STATE ESTIMATION
Yeganeh M. Marghi, Aziz Kocanaogullari, Northeastern University, United States; Murat Akçakaya, University of Pittsburgh, United States; Deniz Erdoğmuş, Northeastern University, United States

MLSP-P8.5: LOW-PASS FILTERING AS BAYESIAN INFERENCE
Cristobal Valenzuela, Felipe Tobar, Universidad de Chile, Chile

MLSP-P8.6: MODELING AND ESTIMATION OF INTERACTIONS OF YULE-SIMON PROCESSES
Lingqing Gan, Asher Hensley, Petar Djuric, Stony Brook Univerisity, United States

MLSP-P8.7: ADVERSARIAL VARIATIONAL BAYES METHODS FOR TWEEDIE COMPOUND POISSON MIXED MODELS
Yaodong Yang, Rui Luo, Yuanyuan Liu, American International Group Inc., United Kingdom

MLSP-P8.8: TRAINING DYNAMIC EXPONENTIAL FAMILY MODELS WITH CAUSAL AND LATERAL DEPENDENCIES FOR GENERALIZED NEUROMORPHIC COMPUTING
Hyeryung Jang, Osvaldo Simeone, King's College London, United Kingdom

MLSP-P8.9: ROBUST FREEWAY ACCIDENT DETECTION: A TWO-STAGE APPROACH
Yasitha Warahena Liyanage, Daphney-Stavroula Zois, Charalampos Chelmis, University at Albany, State University of New York, United States

MLSP-P8.10: AN AUTOENCODER-BASED APPROACH FOR RECOGNIZING NULL CLASS IN ACTIVITIES OF DAILY LIVING IN-THE-WILD VIA WEARABLE MOTION SENSORS
Ali Akbari, Roozbeh Jafari, Texas A&M University, United States

MLSP-P8.11: SEQUENTIAL STRUCTURED DICTIONARY LEARNING FOR BLOCK SPARSE REPRESENTATIONS
Abd-Krim Seghouane, Asif Iqbal, The University of Melbourne, Australia; Karim Abed-Meraim, The University of Orleans, France

MLSP-P9: Matrix and Tensor Methods II

MLSP-P9.1: MINIMUM-VOLUME RANK-DEFICIENT NONNEGATIVE MATRIX FACTORIZATIONS
Valentin Leplat, Andersen Man Shun Ang, Nicolas Gillis, University of Mons, Belgium

MLSP-P9.2: MODEL SELECTION FOR NONNEGATIVE MATRIX FACTORIZATION BY SUPPORT UNION RECOVERY
Zhaoqiang Liu, National University of Singapore, Singapore

MLSP-P9.3: GENERALIZED INTERVAL VALUED NONNEGATIVE MATRIX FACTORIZATION
Masahiro Kohjima, Tatsushi Matsubayashi, Hiroyuki Toda, Nippon Telegraph and Telephone Corporation, Japan

MLSP-P9.4: LOCAL CONVERGENCE OF THE HEAVY BALL METHOD IN ITERATIVE HARD THRESHOLDING FOR LOW-RANK MATRIX COMPLETION
Trung Vu, Raviv Raich, Oregon State University, United States

MLSP-P9.5: TENSOR-TRAIN DISCRIMINANT ANALYSIS
Seyyid Emre Sofuoğlu, Selin Aviyente, Michigan State University, United States

MLSP-P9.6: GENERALIZED DANTZIG SELECTOR FOR LOW-TUBAL-RANK TENSOR RECOVERY
Andong Wang, School of Computer Science and Engineering, Nanjing University of Science and Technology; RIKEN Center for Advanced Intelligence Project, China; Xulin Song, Xiyin Wu, Nanjing University of Science and Technology, China; Zhihui Lai, Shenzhen University, China; Zhong Jin, School of Computer Science and Engineering, Nanjing University of Science and Technology; Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, China

MLSP-P9.7: ROBUST LOW-TUBAL-RANK TENSOR COMPLETION
Andong Wang, School of Computer Science and Engineering, Nanjing University of Science and Technology; RIKEN Center for Advanced Intelligence Project, China; Xulin Song, Xiyin Wu, Nanjing University of Science and Technology, China; Zhihui Lai, Shenzhen University, China; Zhong Jin, School of Computer Science and Engineering, Nanjing University of Science and Technology; Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, China

MLSP-P9.8: LINEARIZED KERNEL REPRESENTATION LEARNING FROM VIDEO TENSORS BY EXPLOITING MANIFOLD GEOMETRY FOR GESTURE RECOGNITION
Krishan Sharma, Renu Rameshan, Indian Institute of Technology Mandi, India

MLSP-P9.9: CO-CLUSTERING OF HIGH-ORDER DATA VIA REGULARIZED TUCKER DECOMPOSITIONS
Pedro Forero, Paul Baxley, Matthew Capella, SSC Pacific, United States

MLSP-P9.10: A NOVEL RESOURCE-AWARE TENSOR DECOMPOSITION DESIGN BASED ON REINFORCEMENT LEARNING
Behnaz Ghoraani, Florida Atlantic University, United States

MLSP-P9.11: TENSOR MATCHED KRONECKER-STRUCTURED SUBSPACE DETECTION FOR MISSING INFORMATION
Ishan Jindal, Matthew Nokleby, Wayne State University, United States

MLSP-P9.12: HIGHER-ORDER NONNEGATIVE CANDECOMP/PARAFAC TENSOR DECOMPOSITION USING PROXIMAL ALGORITHM
Deqing Wang, Fengyu Cong, Dalian University of Technology, China; Tapani Ristaniemi, University of Jyväskylä, Finland

MLSP-P10: Learning Theory and Methods III

MLSP-P10.1: A FAST METHOD OF COMPUTING PERSISTENT HOMOLOGY OF TIME SERIES DATA
Shotaro Tsuji, Kazuyuki Aihara, University of Tokyo, Japan

MLSP-P10.2: ERROR BOUNDS FOR SPECTRAL CLUSTERING OVER SAMPLES FROM SPHERICAL GAUSSIAN MIXTURE MODELS
Zhaoqiang Liu, National University of Singapore, Singapore

MLSP-P10.3: ASYMPTOTIC PERFORMANCE OF LINEAR DISCRIMINANT ANALYSIS WITH RANDOM PROJECTIONS
Khalil Elkhalil, Abla Kammoun, King Abdullah University of Science and Technology, Saudi Arabia; Robert Calderbank, Duke university, United States; Tareq Al-Naffouri, Mohamed-Slim Alouini, King Abdullah University of Science and Technology, Saudi Arabia

MLSP-P10.4: EXACT RECOVERY BY SEMIDEFINITE PROGRAMMING IN THE BINARY STOCHASTIC BLOCK MODEL WITH PARTIALLY REVEALED SIDE INFORMATION
Mohammad Esmaeili, Hussein Saad, Aria Nosratinia, The University of Texas at Dallas, United States

MLSP-P10.5: MODELLING SAMPLE INFORMATIVENESS FOR DEEP AFFECTIVE COMPUTING
Georgios Rizos, Björn Schuller, Imperial College London, United Kingdom

MLSP-P10.6: DISCRIMINATIVE FEATURE SELECTION GUIDED DEEP CANONICAL CORRELATION ANALYSIS
Noureldin Elmadany, Yifeng He, Ling Guan, Ryerson university, Canada

MLSP-P10.7: DISTRIBUTED GRADIENT DESCENT WITH CODED PARTIAL GRADIENT COMPUTATIONS
Emre Ozfatura, Imperial College London, United Kingdom; Sennur Ulukus, University of Maryland, United States; Deniz Gunduz, Imperial College London, United Kingdom

MLSP-P10.8: A PROJECTED NEWTON-TYPE ALGORITHM FOR NONNEGATIVE MATRIX FACTORIZATION WITH MODEL ORDER SELECTION
Paris Giampouras, Athanasios Rontogiannis, Konstantinos Koutroumbas, National Observatory of Athens, Greece

MLSP-P10.9: TRAINABLE TIME WARPING: ALIGNING TIME-SERIES IN THE CONTINUOUS-TIME DOMAIN
Soheil Khorram, Melvin McInnis, Emily Mower Provost, University of Michigan - Ann Arbor, United States

MLSP-P10.10: INFORMATION-BOTTLENECK BASED ON THE JENSEN-SHANNON DIVERGENCE WITH APPLICATIONS TO PAIRWISE CLUSTERING
Jacob Goldberger, Yaniv Opochinsky, Bar-Ilan University, Israel

MLSP-P10.11: GENERALIZED DISTRIBUTED DUAL COORDINATE ASCENT IN A TREE NETWORK FOR MACHINE LEARNING
Myung Cho, North Carolina State University, United States; Lifeng Lai, University of California, United States; Weiyu Xu, University of Iowa, United States

MLSP-P11: Semi-supervised and Unsupervised Learning

MLSP-P11.1: EE-AE: AN EXCLUSIVITY ENHANCED UNSUPERVISED FEATURE LEARNING APPROACH
Jingcai Guo, Song Guo, The Hong Kong Polytechnic University, Hong Kong SAR of China

MLSP-P11.2: GENERALIZED BOUNDARY DETECTION USING COMPRESSION-BASED ANALYTICS
Christina Ting, Richard Field, Tu-Thach Quach, Travis Bauer, Sandia National Laboratories, United States

MLSP-P11.3: BINARY CLASSIFICATION ONLY FROM UNLABELED DATA BY ITERATIVE UNLABELED-UNLABELED CLASSIFICATION
Hirotaka Kaji, Toyota Motor Corp., Japan; Masashi Sugiyama, RIKEN, Japan

MLSP-P11.4: ENTROPY-REGULARIZED OPTIMAL TRANSPORT GENERATIVE MODELS
Dong Liu, Minh Thành Vu, Saikat Chatterjee, Lars K. Rasmussen, KTH Royal Institute of Technology, Sweden

MLSP-P11.5: DEEP GRAPH REGULARIZED LEARNING FOR BINARY CLASSIFICATION
Minxiang Ye, Vladimir Stankovic, Lina Stankovic, University of Strathclyde, United Kingdom; Gene Cheung, York University, Canada

MLSP-P11.6: COMMON RANDOMIZED SHORTEST PATHS (C-RSP): A SIMPLE YET EFFECTIVE FRAMEWORK FOR MULTI-VIEW GRAPH EMBEDDING
Anuththari Gamage, University of Illinois at Urbana-Champaign, United States; Brian Rappaport, Cornell University, United States; Shuchin Aeron, Xiaozhe Hu, Tufts University, United States

MLSP-P11.7: REVISITING AND IMPROVING SEMI-SUPERVISED LEARNING: A LARGE DIMENSIONAL APPROACH
Xiaoyi Mai, CentraleSupélec, University Paris Saclay, France; Romain Couillet, GIPSA-lab, University of Grenoble-Alpes, France

MLSP-P11.8: MULTIPLE SUBSPACE ALIGNMENT IMPROVES DOMAIN ADAPTATION
Kowshik Thopalli, Arizona State University, United States; Rushil Anirudh, Jayaraman J. Thiagarajan, Lawrence Livermore National Laboratory, United States; Pavan Turaga, Arizona State University, United States

MLSP-P11.9: GRAPH FILTERING WITH MULTIPLE SHIFT MATRICES
Jie Fan, Cihan Tepedelenlioglu, Andreas Spanias, Arizona State University, United States

MLSP-P11.10: DISTRIBUTION PRESERVING NETWORK EMBEDDING
Anyong Qin, Zhaowei Shang, Taiping Zhang, Chongqing University, China; Yuan Yan Tang, University of Macau, China

MLSP-P11.11: STOCHASTIC GRADIENT DESCENT FOR SPECTRAL EMBEDDING WITH IMPLICIT ORTHOGONALITY CONSTRAINT
Mireille El Gheche, École Polytechnique Fédérale de Lausanne, Switzerland; Giovanni Chierchia, Universite Paris-Est, France; Pascal Frossard, École Polytechnique Fédérale de Lausanne, Switzerland

MLSP-P11.12: JOINT STRUCTURED GRAPH LEARNING AND UNSUPERVISED FEATURE SELECTION
Yong Peng, Leijie Zhang, Wanzeng Kong, Hangzhou Dianzi University, China; Feiping Nie, Northwestern Polytechnical University, China; Andrzej Cichocki, Skolkovo Institute of Science and Technology, Russia

MLSP-P12: Deep Learning Applications IV

MLSP-P12.1: COMPOUND VARIATIONAL AUTO-ENCODER
Shang-Yu Su, Shan-Wei Lin, Yun-Nung Chen, National Taiwan University, Taiwan

MLSP-P12.2: AN ATTENTION-AWARE BIDIRECTIONAL MULTI-RESIDUAL RECURRENT NEURAL NETWORK (ABMRNN): A STUDY ABOUT BETTER SHORT-TERM TEXT CLASSIFICATION
Ye Wang, Han Wang, Texas A&M University, United States; Xinxiang Zhang, Southern Methodist University, United States; Theodora Chaspari, Yoonsuck Choe, Mi Lu, Texas A&M University, United States

MLSP-P12.3: AUDIO TEXTURE SYNTHESIS WITH RANDOM NEURAL NETWORKS: IMPROVING DIVERSITY AND QUALITY
Joseph Antognini, Whisper, United States; Matt Hoffman, Ron J. Weiss, Google, Inc., United States

MLSP-P12.4: TIME SIGNAL CLASSIFICATION USING RANDOM CONVOLUTIONAL FEATURES
Abelino Jimenez, Bhiksha Raj, Carnegie Mellon University, United States

MLSP-P12.5: ANOMALY DETECTION IN RAW AUDIO USING DEEP AUTOREGRESSIVE NETWORKS
Ellen Rushe, Brian Mac Namee, University College Dublin, Ireland

MLSP-P12.6: ISING-DROPOUT: A REGULARIZATION METHOD FOR TRAINING AND COMPRESSION OF DEEP NEURAL NETWORKS
Hojjat Salehinejad, Shahrokh Valaee, University of Toronto, Canada

MLSP-P12.7: EXACTLY DECODING A VECTOR THROUGH RELU ACTIVATION
Samet Oymak, M. Salman Asif, University of California, Riverside, United States

MLSP-P12.8: AN INFORMATION-THEORETIC APPROACH FOR AUTOMATICALLY DETERMINING THE NUMBER OF STATE GROUPS WHEN AGGREGATING MARKOV CHAINS
Isaac Sledge, Naval Surface Warfare Center PCD, United States; Jose Principe, University of Florida, United States

MLSP-P12.9: UNSUPERVISED POLYGLOT TEXT-TO-SPEECH
Eliya Nachmani, Lior Wolf, Facebook AI Research, Tel Aviv University, Israel

MLSP-P13: Deep Learning IV

MLSP-P13.1: WAVEGLOW: A FLOW-BASED GENERATIVE NETWORK FOR SPEECH SYNTHESIS
Ryan Prenger, Rafael Valle, Bryan Catanzaro, NVIDIA, United States

MLSP-P13.2: RESIDUAL INTEGRATION NEURAL NETWORK
Said Ouala, IMT-Atlantique, France; Ananda Pascual, IMEDEA, Spain; Ronan Fablet, IMT-Atlantique, France

MLSP-P13.3: REDUCING THE SEARCH SPACE FOR HYPERPARAMETER OPTIMIZATION USING GROUP SPARSITY
Minsu Cho, Chinmay Hegde, Iowa State University, United States

MLSP-P13.4: A LEARNING-BASED FRAMEWORK FOR LINE-SPECTRA SUPER-RESOLUTION
Gautier Izacard, Ecole Polytechnique, France; Brett Bernstein, Courant Institute of Mathematical Sciences, NYU, France; Carlos Fernandez-Granda, Courant Institute of Mathematical Sciences and Center for Data Science, NYU, France

MLSP-P13.5: NETWORK ADAPTATION STRATEGIES FOR LEARNING NEW CLASSES WITHOUT FORGETTING THE ORIGINAL ONES
Hagai Taitelbaum, Gal Chechik, Jacob Goldberger, Bar-Ilan University, Israel

MLSP-P13.6: OBJECT DETECTION IN CURVED SPACE FOR 360-DEGREE CAMERA
Kuan-Hsun Wang, Shang-Hong Lai, National Tsing Hua University, Taiwan

MLSP-P13.7: ADAFLOW: DOMAIN-ADAPTIVE DENSITY ESTIMATOR WITH APPLICATION TO ANOMALY DETECTION AND UNPAIRED CROSS-DOMAIN TRANSLATION
Masataka Yamaguchi, Yuma Koizumi, Noboru Harada, Nippon Telegraph and Telephone Corporation, Japan

MLSP-P13.8: CENTROID-BASED DEEP METRIC LEARNING FOR SPEAKER RECOGNITION
Jixuan Wang, Kuan-Chieh Wang, Marc Law, Frank Rudzicz, Michael Brudno, University of Toronto, Canada

MLSP-P13.9: JSR-NET: A DEEP NETWORK FOR JOINT SPATIAL-RADON DOMAIN CT RECONSTRUCTION FROM INCOMPLETE DATA
Haimiao Zhang, Bin Dong, Peking University, China; Baodong Liu, Chinese Academy of Sciences, China

MLSP-P13.10: MATERIAL IDENTIFICATION USING RF SENSORS AND CONVOLUTIONAL NEURAL NETWORKS
Gianluca Agresti, Simone Milani, University of Padova, Italy

MLSP-P13.11: IMAGE CORRECTION IN EMISSION TOMOGRAPHY USING DEEP CONVOLUTION NEURAL NETWORK
Tomohiro Suzuki, Hiroyuki Kudo, University of Tsukuba, Japan

MLSP-P13.12: EXPLORING COMPLEX TIME-SERIES REPRESENTATIONS FOR RIEMANNIAN MACHINE LEARNING OF RADAR DATA
Daniel Brooks, Olivier Schwander, Sorbonne Université, France; Frédéric Barbaresco, Jean-Yves Schneider, Thales Air Systems, France; Matthieu Cord, Sorbonne Université, France

MLSP-P14: Dictionary, Subspace and Manifold Learning

MLSP-P14.1: PAIRWISE APPROXIMATE K-SVD
Paul Irofti, University of Bucharest, Romania; Bogdan Dumitrescu, University Politehnica of Bucharest, Romania

MLSP-P14.2: ANALYSIS DICTIONARY LEARNING: AN EFFICIENT AND DISCRIMINATIVE SOLUTION
Wen Tang, Ashkan Panahi, Hamid Krim, North Carolina State University, United States; Liyi Dai, Raytheon, United States

MLSP-P14.3: POLYNOMIAL NETWORKS REPRESENTATION OF NONLINEAR MIXTURES WITH APPLICATION IN UNDERDETERMINED BLIND SOURCE SEPARATION
Lu Wang, Tomoaki Ohtsuki, Keio University, Japan

MLSP-P14.4: ROBUST SUBSPACE CLUSTERING BY LEARNING AN OPTIMAL STRUCTURED BIPARTITE GRAPH VIA LOW-RANK REPRESENTATION
Wei Chang, Feiping Nie, Rong Wang, Xuelong Li, Northwestern Polytechnical University, China

MLSP-P14.5: LEARNING SIMILARITY-SPECIFIC DICTIONARY FOR ZERO-SHOT FINE-GRAINED RECOGNITION
Hong Chen, Liujuan Cao, Rongrong Ji, Xiamen University, China

MLSP-P14.6: A DEEP DICTIONARY MODEL TO PRESERVE AND DISENTANGLE KEY FEATURES IN A SIGNAL
Jun-Jie Huang, Pier Luigi Dragotti, Imperial College London, United Kingdom

MLSP-P14.7: EVOLUTIONARY SUBSPACE CLUSTERING: DISCOVERING STRUCTURE IN SELF-EXPRESSIVE TIME-SERIES DATA
Abolfazl Hashemi, Haris Vikalo, University of Texas at Austin, United States

MLSP-P15: Audio and Speech Applications

MLSP-P15.1: SPEECH SUPER RESOLUTION GENERATIVE ADVERSARIAL NETWORK
Sefik Emre Eskimez, University of Rochester, United States; Kazuhito Koishida, Microsoft Corporation, United States

MLSP-P15.2: NOVEL METRIC LEARNING FOR NON-PARALLEL VOICE CONVERSION
Nirmesh Shah, Hemant Patil, DA-IICT, Gandhinagar, India

MLSP-P15.3: DEEP LEARNING FOR CLASSROOM ACTIVITY DETECTION FROM AUDIO
Robin Cosbey, Western Washington University, United States; Allison Wusterbarth, Conversica, United States; Brian Hutchinson, Western Washington University, United States

MLSP-P15.4: TRANSFERABLE POSITIVE/NEGATIVE SPEECH EMOTION RECOGNITION VIA CLASS-WISE ADVERSARIAL DOMAIN ADAPTATION
Hao Zhou, Ke Chen, The University of Manchester, United Kingdom

MLSP-P15.5: ATTITUDE RECOGNITION USING MULTI-RESOLUTION COCHLEAGRAM FEATURES
Fasih Haider, Saturnino Luz, The University of Edinburgh, United Kingdom

MLSP-P15.6: TO REVERSE THE GRADIENT OR NOT: AN EMPIRICAL COMPARISON OF ADVERSARIAL AND MULTI-TASK LEARNING IN SPEECH RECOGNITION
Yossi Adi, Bar-Ilan University, Israel; Neil Zeghidour, Facebook AI Research and CoML, ENS/INRIA, France; Ronan Collobert, Nicolas Usunier, Vitaliy Liptchinsky, Gabriel Synnaeve, Facebook AI Research, France

MLSP-P15.7: TOWARDS AUTOMATIC METHODS TO DETECT ERRORS IN TRANSCRIPTIONS OF SPEECH RECORDINGS
Jinyi Yang, Johns Hopkins University, United States; Lucas Ondel, Brno University of Technology, Czech Republic; Vimal Manohar, Hynek Hermansky, Johns Hopkins University, United States

MLSP-P15.8: ONLINE SINGING VOICE SEPARATION USING A RECURRENT ONE-DIMENSIONAL U-NET TRAINED WITH DEEP FEATURE LOSSES
Clement Doire, Audionamix, France

MLSP-P16: Image and Video Applications

MLSP-P16.1: ITERATIVELY REWEIGHTED PENALTY ALTERNATING MINIMIZATION METHODS WITH CONTINUATION FOR IMAGE DEBLURRING
Tao Sun, Dongsheng Li, Hao Jiang, National University of Defense Technology, China; Zhe Quan, Hunan University, China

MLSP-P16.2: LOW-RESOLUTION VISUAL RECOGNITION VIA DEEP FEATURE DISTILLATION
Mingjian Zhu, Kai Han, Chao Zhang, Jinlong Lin, Yunhe Wang, Peking University, China

MLSP-P16.3: ACCURATE VEHICLE DETECTION USING MULTI-CAMERA DATA FUSION AND MACHINE LEARNING
Hao Wu, Xinxiang Zhang, Brett Story, Dinesh Rajan, Southern Methodist University, United States

MLSP-P16.4: SEMANTIC SUPER-RESOLUTION FOR EXTREMELY LOW-RESOLUTION VEHICLE LICENSE PLATE
Yuexian Zou, Peking University, China; Yi Wang, The Chinese University of Hong Kong, China; Wenjie Guan, Peking University, China; Wenwu Wang, University of Surrey, China

MLSP-P16.5: A WEIGHT-SHARED DUAL-BRANCH CONVOLUTIONAL NEURAL NETWORK FOR UNSUPERVISED DENSE DEPTH PREDICTION AND CAMERA MOTION ESTIMATION
Hong Liu, Yaofeng Dong, Weibo Huang, Peking University, China

MLSP-P16.6: FROM LOCAL TO GLOBAL SUBSPACE CLUSTERING FOR IMAGE DATA
Maryam Abdolali, Mohammad Rahmati, Amirkabir university of technology, Iran

MLSP-P16.7: ESTIMATION OF GAZE REGION USING TWO DIMENSIONAL PROBABILISTIC MAPS CONSTRUCTED USING CONVOLUTIONAL NEURAL NETWORKS
Sumit Jha, Carlos Busso, The University of Texas at Dallas, United States

MLSP-P16.8: SELECTING OPTIMAL PROPOSAL NUMBER FOR IMAGE-BASED OBJECT DETECTION
Wenjie Guan, Xiaoqun Zhou, Peking University, China; Ge Li, Yuexian Zou, Peking University Shenzhen Graduate School, China

MLSP-P16.9: A SEQUENTIAL GUIDING NETWORK WITH ATTENTION FOR IMAGE CAPTIONING
Daouda Sow, Zengchang Qin, Beihang University, China; Mouhamed Niasse, North China Electric Power University, China; Tao Wan, Beihang University, China

MLSP-P16.10: NEAR-INFRARED IMAGE GUIDED NEURAL NETWORKS FOR COLOR IMAGE DENOISING
Xuehui Wang, Feng Dai, Yike Ma, Junbo Guo, Qiang Zhao, Yongdong Zhang, Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, China

MLSP-P17: Deep Learning V

MLSP-P17.1: SEMI-SUPERVISED TRANSFER LEARNING FOR CONVOLUTIONAL NEURAL NETWORKS FOR GLAUCOMA DETECTION
Manal AlGhamdi, Umm Al-Qura University, Saudi Arabia; Mingqi Li, Harbin Institute of Technology, China; Mohamed Abdel-Mottaleb, University of Miami, United States; Mohamed Abou Shousha, Bascom Palmer Eye Institute, United States

MLSP-P17.2: AN ENHANCED HIERARCHICAL EXTREME LEARNING MACHINE WITH RANDOM SPARSE MATRIX BASED AUTOENCODER
Tianlei Wang, Xiaoping Lai, Jiuwen Cao, Hangzhou Dianzi University, China; Chi-Man Vong, University of Macau, China; Badong Chen, Xi’an Jiaotong University, China

MLSP-P17.3: GROUP ACTION EQUIVARIANCE AND GENERALIZED CONVOLUTION IN MULTI-LAYER NEURAL NETWORKS
Pan Zhong, Zhengdao Wang, Iowa State University, United States

MLSP-P17.4: DYNAMIC WEIGHT ALIGNMENT FOR TEMPORAL CONVOLUTIONAL NEURAL NETWORKS
Brian Kenji Iwana, Seiichi Uchida, Kyushu University, Japan

MLSP-P17.5: SURE-TISTA: A SIGNAL RECOVERY NETWORK FOR COMPRESSED SENSING
Mengcheng Yao, Jian Dang, Zaichen Zhang, Liang Wu, Southeast University, China

MLSP-P17.6: CONTINUAL LEARNING FOR ANOMALY DETECTION WITH VARIATIONAL AUTOENCODER
Felix Wiewel, Bin Yang, University of Stuttgart, Germany

MLSP-P17.7: APE-GAN: ADVERSARIAL PERTURBATION ELIMINATION WITH GAN
Guoqing Jin, Shiwei Shen, Inst. of Computing Teth, Chinese Academy of Sciences, China; Dongming Zhang, National Computer Network Emergency Response Technical Team of China, China; Feng Dai, Yongdong Zhang, Inst. of Computing Teth, Chinese Academy of Sciences, China

MLSP-P17.8: ADVERSARIAL LEARNING OF LABEL DEPENDENCY: A NOVEL FRAMEWORK FOR MULTI-CLASS CLASSIFICATION
Che-Ping Tsai, Hung-Yi Lee, National Taiwan Universuty, Taiwan

MLSP-P17.9: LOOK, LISTEN, AND LEARN MORE: DESIGN CHOICES FOR DEEP AUDIO EMBEDDINGS
Jason Cramer, Ho-Hsiang Wu, Justin Salamon, Juan Pablo Bello, New York University, United States

MLSP-P17.10: LEARNING POSE-AWARE 3D RECONSTRUCTION VIA 2D-3D SELF-CONSISTENCY
Yi-Lun Liao, Yao-Cheng Yang, Yuan-Fang Lin, Pin-Jung Chen, National Taiwan University, Taiwan; Chia-Wen Kuo, Georgia Institute of Technology, United States; Wei-Chen Chiu, National Chiao Tung University, Taiwan; Yu-Chiang Frank Wang, National Taiwan University, Taiwan

MLSP-P17.11: ON THE USEFULNESS OF STATISTICAL NORMALISATION OF BOTTLENECK FEATURES FOR SPEECH RECOGNITION
Erfan Loweimi, Peter Bell, Steve Renals, University of Edinburgh, United Kingdom

MLSP-P17.12: LEARNING TEMPORAL INFORMATION FROM SPATIAL INFORMATION USING CAPSNETS FOR HUMAN ACTION RECOGNITION
Abdullah Algamdi, Victor Sanchez, University of Warwick, United Kingdom; Chang-Tsun Li, Deakin University, Australia

MLSP-P18: Machine Learning Applications II

MLSP-P18.1: HYBRID DEEP NEURAL NETWORK MODEL FOR REMAINING USEFUL LIFE ESTIMATION
Ali Al-Dulaimi, Soheil Zabihi, Amir Asif, Arash Mohammadi, Concordia University, Canada

MLSP-P18.2: LEARNING STOCHASTIC REPRESENTATIONS OF GEOPHYSICAL DYNAMICS
Said Ouala, Ronan Fablet, IMT-Atlantique, France; Cédric Herzet, IMT Atlantique / INRIA Bretagne-Atlantique, France; Bertrand Chapron, IFREMER, France; Ananda Pascual, IMEDEA, Spain; Fabrice Collard, Lucile Gaultier, ODL, France

MLSP-P18.3: DEEP LEARNING FOR VERTEX RECONSTRUCTION OF NEUTRINO-NUCLEUS INTERACTION EVENTS WITH COMBINED ENERGY AND TIME DATA
Linghao Song, Fan Chen, Duke University, United States; Steven Young, Catherine Schuman, Oak Ridge National Laboratory, United States; Gabriel Perdue, Fermi National Accelerator Laboratory, United States; Thomas Potok, Oak Ridge National Laboratory, United States

MLSP-P18.4: DEEP SYNTHESIZER PARAMETER ESTIMATION
Oren Barkan, David Tsiris, Tel-Aviv Univeristy, Israel

MLSP-P18.5: TIME SERIES PREDICTION FOR KERNEL-BASED ADAPTIVE FILTERS USING VARIABLE BANDWIDTH, ADAPTIVE LEARNING-RATE, AND DIMENSIONALITY REDUCTION
Sergio Garcia-Vega, Eder A. Leon-Gomez, German Castellanos-Dominguez, Universidad Nacional de Colombia, Colombia

MLSP-P18.6: ROBUST COMMON SPATIAL PATTERNS ESTIMATION USING DYNAMIC TIME WARPING TO IMPROVE BCI SYSTEMS
Ahmed M.Azab, Lyudmila Mihaylova, University of Sheffield, United Kingdom; Hamed Ahmadi, univversity of Essex, Egypt; Mahnaz Arvaneh, University of Sheffield, United Kingdom

MLSP-P18.7: NATIVE LANGUAGE AND STIMULI SIGNAL PREDICTION FROM EEG
Madhumitha Sakthi, Ahmed Tewfik, The University of Texas at Austin, United States; Bharath Chandrasekaran, University of Pittsburgh, United States

MLSP-P18.8: PERFORMANCE ADVANTAGES OF DEEP NEURAL NETWORKS FOR ANGLE OF ARRIVAL ESTIMATION
Oded Bialer, Noa Garnett, Tom Tirer, General Motors, Israel

MLSP-P18.9: DEEP QUANTIZATION FOR MIMO CHANNEL ESTIMATION
Matan Shohat, Georgee Tsintsadze, Technion, Israel; Nir Shlezinger, Yonina C. Eldar, Weizmann Institute, Israel

MLSP-P18.10: EFFICIENT CONVOLUTIONAL NEURAL NETWORK WEIGHT COMPRESSION FOR SPACE DATA CLASSIFICATION ON MULTI-FPGA PLATFORMS
George Pitsis, Grigorios Tsagkatakis, Christos Kozanitis, Ioannis Kalomoiris, Aggelos Ioannou, Apostolos Dollas, Manolis Katevenis, Panagiotis Tsakalides, Foundation for Research and Technology-Hellas, Greece

MLSP-P18.11: CRIME EVENT EMBEDDING WITH UNSUPERVISED FEATURE SELECTION
Shixiang Zhu, Yao Xie, Georgia Institute of Technology, United States

MMSP-L1: Multimodal Signal Processing I

MMSP-L1.1: ACCURATE TARGET ANNOTATION IN 3D FROM MULTIMODAL STREAMS
Oswald Lanz, Alessio Brutti, Fondazione Bruno Kessler, Italy; Alessio Xompero, Xinyuan Qian, Queen Mary University of London, United Kingdom; Maurizio Omologo, Fondazione Bruno Kessler, Italy; Andrea Cavallaro, Queen Mary University of London, United Kingdom

MMSP-L1.2: MULTI-FEATURE FUSION BASED ON SUPERVISED MULTI-VIEW MULTI-LABEL CANONICAL CORRELATION PROJECTION
Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama, Hokkaido University, Japan

MMSP-L1.3: DENSE MULTIMODAL FUSION FOR HIERARCHICALLY JOINT REPRESENTATION
Di Hu, Chengze Wang, Feiping Nie, Xuelong Li, Northwestern Polytechnical University, China

MMSP-L1.4: CONTEXT-AWARE DEEP LEARNING FOR MULTI-MODAL DEPRESSION DETECTION
Genevieve Wen Qi Lam, Nanyang Technological University, Singapore; Dong-Yan Huang, Institute for Infocomm Research, Singapore; Weisi Lin, Nanyang Technological University, Singapore

MMSP-L1.5: LEARNING SHARED VECTOR REPRESENTATIONS OF LYRICS AND CHORDS IN MUSIC
Timothy Greer, Karan Singla, Benjamin Ma, Shrikanth Narayanan, University of Southern California, United States

MMSP-L1.6: AUDIO FEATURE GENERATION FOR MISSING MODALITY PROBLEM IN VIDEO ACTION RECOGNITION
Hu-Cheng Lee, Chih-Yu Lin, Pin-Chun Hsu, Winston H. Hsu, National Taiwan University, Taiwan

MMSP-P1: Multimodal Signal Processing II

MMSP-P1.1: SEEING THROUGH SOUNDS: PREDICTING VISUAL SEMANTIC SEGMENTATION RESULTS FROM MULTICHANNEL AUDIO SIGNALS
Go Irie, NTT Corporation, Japan; Mirela Ostrek, The University of Zagreb, Croatia (Hrvatska); Haochen Wang, The University of British Columbia, Canada; Hirokazu Kameoka, Akisato Kimura, Takahito Kawanishi, Kunio Kashino, NTT Corporation, Japan

MMSP-P1.2: PERFECT MATCH: IMPROVED CROSS-MODAL EMBEDDINGS FOR AUDIO-VISUAL SYNCHRONISATION
Soo-Whan Chung, Yonsei University, Korea (South); Joon Son Chung, Naver Corp., Korea (South); Hong-Goo Kang, Yonsei University, Korea (South)

MMSP-P1.3: A NEIGHBOR-AWARE APPROACH FOR IMAGE-TEXT MATCHING
Chunxiao Liu, Zhendong Mao, Wenyu Zang, Institute of Information Engineering, Chinese Academy of Sciences, China; Bin Wang, Institute of Information Engineering, Chinese Academy of Sciences; Xiaomi AI Lab, China

MMSP-P1.4: LEARNING AFFECTIVE CORRESPONDENCE BETWEEN MUSIC AND IMAGE
Gaurav Verma, Adobe Research, India; Eeshan Gunesh Dhekane, Mila, Université de Montréal, Canada; Tanaya Guha, University of Warwick, United Kingdom

MMSP-P1.5: DYNAMIC TEMPORAL ALIGNMENT OF SPEECH TO LIPS
Tavi Halperin, The Hebrew University of Jerusalem, Israel; Ariel Ephrat, Google, Inc., Israel; Shmuel Peleg, The Hebrew University of Jerusalem, Israel

MMSP-P1.6: GRAYSCALE-THERMAL TRACKING VIA CANONICAL CORRELATION ANALYSIS BASED INVERSE SPARSE REPRESENTATION
Wan Ding, College of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, China; Bin Kang, College of Internet of Things, Nanjing University of Posts and Telecommunications, China; Quan Zhou, Min Lin, College of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, China; Suofei Zhang, College of Interner of Things, Nanjing University of Posts and Telecommunications, China

MMSP-P1.7: LEARNING SEMANTIC-PRESERVING SPACE USING USER PROFILE AND MULTIMODAL MEDIA CONTENT FROM POLITICAL SOCIAL NETWORK
Wei-Hao Chang, Jeng-Lin Li, Chi-Chun Lee, National Tsing Hua University, Taiwan

MMSP-P1.8: NOISE-TOLERANT AUDIO-VISUAL ONLINE PERSON VERIFICATION USING AN ATTENTION-BASED NEURAL NETWORK FUSION
Suwon Shon, Tae-Hyun Oh, James Glass, Massachusetts Institute of Technology, United States

MMSP-P1.9: CROSS-CULTURE MULTIMODAL EMOTION RECOGNITION WITH ADVERSARIAL LEARNING
Jingjun Liang, Shizhe Chen, Jinming Zhao, Qin Jin, Renmin University of China, China; Haibo Liu, Li Lu, Tencent, China

MMSP-P1.10: A DEEP-NARMA FILTER FOR UNUSUAL BEHAVIOR DETECTION FROM VISUAL, THERMAL AND WIRELESS SIGNALS
Nikolaos Bakalos, National Technical University of Athens, Greece; Athanasios Voulodimos, University of West Attica, Greece; Anastasios Doulamis, Nikolaos Doulamis, National Technical University of Athens, Greece

MMSP-P1.11: LEARNING DISENTANGLED REPRESENTATION IN LATENT STOCHASTIC MODELS: A CASE STUDY WITH IMAGE CAPTIONING
Nidhi Vyas, SaiKrishna Rallabandi, Lalitesh Morishetti, Eduard Hovy, Alan W Black, Carnegie Mellon University, United States

MMSP-P2: Visual Communications and Quality Assessment

MMSP-P2.1: A GEOMETRY-AWARE FRAMEWORK FOR COMPRESSING 3D MESH TEXTURES
Fatemeh Nasiri, Université Rennes 1, France; Navid Mahmoudian Bidgoli, INRIA, France; Frédéric Payan, Université Côte d’Azur, CNRS, I3S, France; Thomas Maugey, INRIA, France

MMSP-P2.2: SPHERICAL CLUSTERING OF USERS NAVIGATING 360° CONTENT
Silvia Rossi, University College London, United Kingdom; Francesca De Simone, CWI, Netherlands; Pascal Frossard, École Polytechnique Fédérale de Lausanne, Switzerland; Laura Toni, University College London, United Kingdom

MMSP-P2.3: PPSAN: PERCEPTUAL-AWARE 3D POINT CLOUD SEGMENTATION VIA ADVERSARIAL LEARNING
Hongyan Li, Zhengxing Sun, Yunjie Wu, Bo Li, Nanjing University, China

MMSP-P2.5: DEEP REINFORCEMENT LEARNING-BASED RATE ADAPTATION FOR ADAPTIVE 360-DEGREE VIDEO STREAMING
Nuowen Kan, Junni Zou, Kexin Tang, Chenglin Li, Ning Liu, Hongkai Xiong, Shanghai Jiao Tong University, China

MMSP-P2.6: ENHANCING HEVC SPATIAL PREDICTION BY CONTEXT-BASED LEARNING
Li Wang, CentraleSupelec, France; Attilio Fiandrotti, Andrei Purica, Télécom ParisTech, France; Giuseppe Valenzise, CNRS, France; Marco Cagnazzo, Télécom ParisTech, France

MMSP-P2.7: BLIND QUALITY ASSESSMENT FOR 3D-SYNTHESIZED IMAGES BY MEASURING GEOMETRIC DISTORTIONS AND IMAGE COMPLEXITY
Guangcheng Wang, Zhongyuan Wang, Wuhan University, China; Ke Gu, Beijing University of Technology, China; Zhifang Xia, The State Information Center of P.R.China, China

MMSP-P2.8: IMPROVING FACIAL ATTRACTIVENESS PREDICTION VIA CO-ATTENTION LEARNING
Shengjie Shi, Fei Gao, Xuantong Meng, Xingxin Xu, Jingjie Zhu, Hangzhou Dianzi University, China

MMSP-P2.9: BLIND QUALITY EVALUATOR FOR SCREEN CONTENT IMAGES VIA ANALYSIS OF STRUCTURE
Guanghui Yue, Chunping Hou, Tianjin University, China; Weisi Lin, Nanyang Technological University, Singapore

MMSP-P2.10: THE EFFECT OF SPATIO-TEMPORAL INCONSISTENCY ON THE SUBJECTIVE QUALITY EVALUATION OF OMNIDIRECTIONAL VIDEOS
Wei Zhang, Wenjie Zou, Fuzheng Yang, Xidian University, China; Lucie Lévêque, Hantao Liu, Cardiff University, United Kingdom

MMSP-P2.11: THE IMPACT OF STALLING ON THE PERCEPTUAL QUALITY OF HTTP-BASED OMNIDIRECTIONAL VIDEO STREAMING
Wei Zhang, Wenjie Zou, Fuzheng Yang, Xidian University, China

MMSP-P3: Multimedia Analysis

MMSP-P3.1: REINFORCING SELF-EXPRESSIVE REPRESENTATION WITH CONSTRAINT PROPAGATION FOR FACE CLUSTERING IN MOVIES
Krishna Somandepalli, Shrikanth Narayanan, University of Southern California, United States

MMSP-P3.2: JOINTLY PREDICTING FUTURE SEQUENCE AND STEERING ANGLES FOR DYNAMIC DRIVING SCENES
Li Du, Zhicheng Zhao, Fei Su, Beijing University of Posts and Telecommunications, China; Leiquan Wang, China University of Petroleum, China; Chaohong An, Inner Mongolia University, China

MMSP-P3.3: HAND GRAPH REPRESENTATIONS FOR UNSUPERVISED SEGMENTATION OF COMPLEX ACTIVITIES
Pratyusha Das, Jiun-Yu Kao, Antonio Ortega, University of Southern California, United States; Tomoya Sawada, Mitsubishi Electric Corporation, Japan; Hassan Mansour, Anthony Vetro, Mitsubishi Electric Research Laboratories, United States; Akira Minezawa, Mitsubishi Electric Corporation, Japan

MMSP-P3.4: INFORMATION CONSTRAINED CONTROL FOR VISUAL DETECTION OF IMPORTANT AREAS
Ron M. Hecht, Hebrew University and General Motors, Israel; Ariel Telpaz, Gila Kamhi, General Motors, Israel; Aharon Bar Hillel, Ben-Gurion University of the Negev, Israel; Naftali Tishby, Hebrew University, Israel

MMSP-P3.5: SPFEMD: SUPER-PIXEL BASED FINGER EARTH MOVER'S DISTANCE FOR HAND GESTURE RECOGNITION
Yiwei Wang, Cheolkon Jung, Xidian University, China; Inyong Yun, Joongkyu Kim, Sungkyunkwan University, Korea (South)

MMSP-P3.6: AN EMPIRICAL STUDY OF SPEECH PROCESSING IN THE BRAIN BY ANALYZING THE TEMPORAL SYLLABLE STRUCTURE IN SPEECH-INPUT INDUCED EEG
Rini A Sharon, Indian Institute of Technology Madras, India; Shrikanth Narayanan, Viterbi School of Engineering, University of Southern California, Los Angeles, United States; Mriganka Sur, Massachusetts Institute of Technology, United States; Hema A. Murthy, Indian Institute of Technology Madras, India

MMSP-P3.7: CROSS MODAL AUDIO SEARCH AND RETRIEVAL WITH JOINT EMBEDDINGS BASED ON TEXT AND AUDIO
Benjamin Elizalde, Carnegie Mellon University, United States; Shuayb Zarar, Microsoft Research, United States; Bhiksha Raj, Carnegie Mellon University, United States

MMSP-P3.8: IMPROVING CONTENT-BASED AUDIO RETRIEVAL BY VOCAL IMITATION FEEDBACK
Bongjun Kim, Bryan Pardo, Northwestern University, United States

MMSP-P3.9: ROBUST SPEECH ACTIVITY DETECTION IN MOVIE AUDIO: DATA RESOURCES AND EXPERIMENTAL EVALUATION
Rajat Hebbar, Krishna Somandepalli, Shrikanth Narayanan, University of Southern California, United States

MMSP-P3.10: IMAGE CAPTIONING WITH TWO CASCADED AGENTS
Lun Huang, Wenmin Wang, Gang Wang, Peking University, China

MMSP-P3.11: TOWARDS CROSS-MODALITY TOPIC MODELLING VIA DEEP TOPICAL CORRELATION ANALYSIS
Jun Peng, Yiyi Zhou, Liujuan Cao, Xiamen University, China; Xiaoshuai Sun, Harbin Institute of Technology, China; Jinsong Su, Software School of Xiamen University, China; Rongrong Ji, Xiamen University, China

SAM-L1: Direction of Arrival Estimation

SAM-L1.1: COMPOSITE SINGER ARRAYS WITH HOLE-FREE COARRAYS AND ENHANCED ROBUSTNESS
Chun-Lin Liu, National Taiwan University, Taiwan; P. P. Vaidyanathan, California Institute of Technology, United States

SAM-L1.2: COPRIME ARRAY DESIGN WITH MINIMUM LAG REDUNDANCY
Ammar Ahmed, Yimin D. Zhang, Temple University, United States; Jian-Kang Zhang, McMaster University, Canada

SAM-L1.3: ADMM FOR ND LINE SPECTRAL ESTIMATION USING GRID-FREE COMPRESSIVE SENSING FROM MULTIPLE MEASUREMENTS WITH APPLICATIONS TO DOA ESTIMATION
Sebastian Semper, TU Ilmenau, Germany; Florian Römer, Fraunhofer IZFP, Germany

SAM-L1.4: HADAMARD PRODUCT PERSPECTIVE ON SOURCE RESOLVABILITY OF SPATIAL-SMOOTHING-BASED SUBSPACE METHODS
Zai Yang, Nanjing University of Science and Technology, China; Petre Stoica, Uppsala University, Sweden

SAM-L1.5: SVD-PHAT: A FAST SOUND SOURCE LOCALIZATION METHOD
François Grondin, James Glass, Massachusetts Institute of Technology, United States

SAM-L1.6: SUPER-RESOLUTION DOA ESTIMATION FOR ARBITRARY ARRAY GEOMETRIES USING A SINGLE NOISY SNAPSHOT
Anupama Govinda Raj, James H. McClellan, Georgia Institute of Technology, United States

SAM-L2: MIMO Systems and MIMO Radar

SAM-L2.1: UNIFIED FRAMEWORK FOR MINIMAX MIMO TRANSMIT BEAMPATTERN MATCHING UNDER WAVEFORM CONSTRAINTS
Rui Zhou, Ziping Zhao, Daniel Palomar, The Hong Kong University of Science and Technology, Hong Kong SAR of China

SAM-L2.2: TENSOR-BASED ESTIMATION OF MMWAVE MIMO CHANNELS WITH CARRIER FREQUENCY OFFSET
Lucas Nogueira Ribeiro, André Lima Férrer de Almeida, UFC, Brazil; Nitin Jonathan Myers, Robert W. Heath Jr., University of Texas at Austin, United States

SAM-L2.3: A GRIDLESS CS APPROACH FOR CHANNEL ESTIMATION IN HYBRID MASSIVE MIMO SYSTEMS
Khaled Ardah, Communications Research Laboratory (CRL), Ilmenau University of Technology, Germany; André L. F. de Almeida, Wireless Telecom Research Group (GTEL), Federal University of Ceara, Brazil; Martin Haardt, Communications Research Laboratory (CRL), Ilmenau University of Technology, Germany

SAM-L2.4: SCALING UP MIMO RADAR FOR TARGET DETECTION
Stefano Fortunati, Luca Sanguinetti, Maria Sabrina Greco, Fulvio Gini, University of Pisa, Italy

SAM-L2.5: A RIEMANNIAN DISTANCE APPROACH TO MIMO RADAR SIGNAL DESIGN
Yingying Shi, Zhengzhou University, China; Jia Xu, McMaster University, Canada; Kon Max Wong, McMaster University & Zhengzhou University, Canada; Timothy N. Davidson, McMaster University, Canada

SAM-L2.6: A MULTI-RADAR JOINT BEAMFORMING METHOD
Oded Bialer, Sammy Kolpinizki, General Motors, Israel

SAM-L3: Sparse Arrays and Sparse Sensing

SAM-L3.1: HYBRID SPARSE ARRAY DESIGN FOR UNDER-DETERMINED MODELS
Syed Ali Hamza, Moeness Amin, Villanova University, United States

SAM-L3.2: BLIND CALIBRATION OF SPARSE ARRAYS FOR DOA ESTIMATION WITH ANALOG AND ONE-BIT MEASUREMENTS
Krishnaprasad Nambur Ramamohan, Delft University of Technology, Netherlands; Sundeep Prabhakar Chepuri, Indian Institute of Science, India; Daniel Fernandez Comesana, Microflown Technologies, Netherlands; Geert Leus, Delft University of Technology, Netherlands

SAM-L3.3: GROUP SPARSITY BASED TARGET LOCALIZATION FOR DISTRIBUTED SENSOR ARRAY NETWORKS
Qing Shen, Wei Liu, University of Sheffield, United Kingdom; Li Wang, Yin Liu, Southwest China Institute of Electronic Technology, China

SAM-L3.4: SPARSE FRACTAL ARRAY DESIGN WITH INCREASED DEGREES OF FREEDOM
Regev Cohen, Yonina C. Eldar, SAMPL, Technion, Israel

SAM-L3.5: 3D COPRIME ARRAYS IN SPARSE SENSING
Conghui Li, Imperial College London, United Kingdom; Lu Gan, Brunel University London, United Kingdom; Cong Ling, Imperial College London, United Kingdom

SAM-L3.6: ANALYSIS OF COPRIME ARRAYS ON MOVING PLATFORM
Guodong Qin, Xidian University, China; Moeness Amin, Villanova University, United States; Yimin D. Zhang, Temple University, United States

SAM-P1: Sparsity, Super-Resolution and Imaging

SAM-P1.1: GRIDLESS SUPER-RESOLUTION DOA ESTIMATION WITH UNKNOWN MUTUAL COUPLING
Qing Wang, Xian Wang, Tongdong Dou, Tianjin University, China; Hua Chen, Ningbo University, China; Xiaohuan Wu, Nanjing University of Posts and Telecommunications, China

SAM-P1.2: GRIDLESS DOA ESTIMATION VIA. ALTERNATING PROJECTIONS
Mark Wagner, University of California, San Diego, United States; Yongsung Park, Seoul National University, Korea (South); Peter Gerstoft, University of California, San Diego, United States

SAM-P1.3: A NON-CONVEX APPROACH TO NON-NEGATIVE SUPER-RESOLUTION: THEORY AND ALGORITHM
Heng Qiao, Piya Pal, University of California, San Diego, United States

SAM-P1.4: ADAPTIVE BLIND SPARSE SOURCE SEPARATION BASED ON SHEAR AND GIVENS ROTATIONS
Nacerredine Lassami, Abdeldjalil Aissa El Bey, IMT-Atlantique - Bretagne Pays de la Loire, France; Karim Abed-Meraim, Université d’Orléans, France

SAM-P1.5: ROBUST ROOM EQUALIZATION USING SPARSE SOUND-FIELD RECONSTRUCTION
Radoslaw Mazur, Fabrice Katzberg, Alfred Mertins, University of Lübeck, Germany

SAM-P1.6: DISTRIBUTED JOINT TRANSMITTER DESIGN AND SELECTION USING AUGMENTED ADMM
Mykola Servetnyk, Carrson Fung, National Chiao Tung University, Taiwan

SAM-P1.7: SUPER-RESOLUTION RESULTS FOR A 1D INVERSE SCATTERING PROBLEM
Wenjie Wang, Yue Li, Zhao Li, Ross Murch, Hong Kong University of Science and Technology, Hong Kong SAR of China

SAM-P1.8: A NEW SEPARATION METHOD FOR GALAXY SPECTRA BASED ON DATA FUSION BETWEEN TWO GRISM ORDERS IN SLITLESS SPECTROSCOPY
Andréa Guerrero, Shahram Hosseini, Yannick Deville, Thierry Contini, Tristan Grégoire, Université de Toulouse, UPS, CNRS, CNES, IRAP, France

SAM-P1.9: STEREO SOURCE SEPARATION IN THE FREQUENCY DOMAIN: SOLVING THE PERMUTATION PROBLEM BY A SLIDING K-MEANS METHOD
Bang-Yin Chen, Tzu-Chi Liu, Yi-Wen Liu, National Tsing Hua University, Taiwan

SAM-P1.10: ANOMALY IMAGING FOR STRUCTURAL HEALTH MONITORING EXPLOITING CLUSTERED SPARSITY
Geethu Joseph, Indian Institute of Science, India; Ahmad Zoubi, Oregon State University, United States; Chandra R. Murthy, Indian Institute of Science, India; V John Mathews, Oregon State University, United States

SAM-P1.11: GRAPH SPECTRAL CLUSTERING OF CONVOLUTION ARTEFACTS IN RADIO INTERFEROMETRIC IMAGES
Matthieu Simeoni, IBM Research Zurich / Swiss Federal Institute of Technology (EPFL), Switzerland; Paul Hurley, Western Sydney University, Australia

SAM-P1.12: SPARSE ACTIVE RECTANGULAR ARRAY WITH FEW CLOSELY SPACED ELEMENTS
Robin Rajamäki, Visa Koivunen, Aalto University, Finland

SAM-P2: Radar and Acoustic Array Processing

SAM-P2.1: DISTRIBUTED POWER ALLOCATION FOR SPECTRAL COEXISTING MULTISTATIC RADAR AND COMMUNICATION SYSTEMS BASED ON STACKELBERG GAME
Chenguang Shi, Fei Wang, NUAA, China; Sana Salous, Durham University, United Kingdom; Jianjiang Zhou, NUAA, China

SAM-P2.2: JOINT DESIGN FOR MIMO RADAR AND DOWNLINK COMMUNICATION SYSTEMS COEXISTENCE
Ziyang Cheng, UESTC, China; Bin Liao, Shenzhen University, China; Zishu He, Jun Li, Julan Xie, UESTC, China

SAM-P2.3: TRANSMIT BEAMPATTERN DESIGN FOR MIMO RADAR WITH ONE-BIT DACS
Ziyang Cheng, UESTC, China; Bin Liao, Shenzhen University, China; Zishu He, Jun Li, Julan Xie, UESTC, China

SAM-P2.4: ADAPTIVE WAVEFORM DESIGN FOR AUTOMOTIVE JOINT RADAR-COMMUNICATIONS SYSTEM
Sayed Hossein Dokhanchi, Bhavani Shankar Mysore Rama Rao, Mohammad Alaee-Kerahroodi, University of Luxembourg, Luxembourg; Thomas Stifter, IEE, Luxembourg; Björn Ottersten, University of Luxembourg, Luxembourg

SAM-P2.5: MIMO RADAR TRANSMIT BEAMPATTERN SYNTHESIS VIA WAVEFORM DESIGN FOR TARGET LOCALIZATION
Tong Wei, Huiping Huang, Bin Liao, Shenzhen University, China

SAM-P2.6: COMPUTING THE LARGEST EIGENVALUE DISTRIBUTION FOR NON-CENTRAL WISHART MATRICES
Scott Jones, Douglas Cochran, Arizona State University, United States; Stephen Howard, Defence Science and Technology Group, Australia; Vaughan Clarkson, Clarkson Family Trust, Australia; Konstanty Bialkowski, The University of Queensland, Australia

SAM-P2.7: DESIGNING (IN)FINITE-ALPHABET SEQUENCES VIA SHAPING THE RADAR AMBIGUITY FUNCTION
Mohammad Alaee-Kerahroodi, Saeid Sedighi, Bhavani Shankar, Björn Ottersten, University of Luxembourg, Luxembourg

SAM-P2.8: AUTOMATIC RADAR-BASED GESTURE DETECTION AND CLASSIFICATION VIA A REGION-BASED DEEP CONVOLUTIONAL NEURAL NETWORK
Yuliang Sun, HELLA GmbH & Co. KGaA & Ruhr University Bochum, Germany; Tai Fei, Shangyin Gao, HELLA GmbH & Co. KGaA, Germany; Nils Pohl, Ruhr-Universität Bochum, Germany

SAM-P2.9: GRIDLESS ANGLE AND RANGE ESTIMATION FOR FDA-MIMO RADAR BASED ON DECOUPLED ATOMIC NORM MINIMIZATION
Wen-Gen Tang, Hong Jiang, Shuai-Xuan Pang, Jilin University, China

SAM-P2.10: INFERRING PRIVATE INFORMATION IN WIRELESS SENSOR NETWORKS
Daniel Alberto Burbano Lombana, Northwestern University, United States; Jemin George, U.S. Army Research Laboratory, United States; Randy A. Freeman, Kevin M. Lynch, Northwestern University, United States

SAM-P2.11: TARGET LOCALIZATION AND MUTUAL INFORMATION IMPROVEMENT FOR COOPERATIVE MIMO RADAR AND MIMO COMMUNICATION SYSTEMS
Zhen Wang, Qian He, University of Electronic Science and Technology of China, China; Rick S. Blum, Lehigh University, United States

SAM-P2.12: COHERENT RADAR IMAGING USING UNSYNCHRONIZED DISTRIBUTED ANTENNAS
Muhammad Asad Lodhi, Rutgers University, United States; Hassan Mansour, Petros T. Boufounos, Mitsubishi Electric Research Laboratories, United States

SAM-P3: Beamforming and Source Separation

SAM-P3.1: ROBUST BAYESIAN BEAMFORMING FOR SOURCES AT DIFFERENT DISTANCES WITH APPLICATIONS IN URBAN MONITORING
Patrick W.A. Wijnings, Sander Stuijk, Bert de Vries, Henk Corporaal, Eindhoven University of Technology, Netherlands

SAM-P3.2: MVDR ROBUST ADAPTIVE BEAMFORMING DESIGN WITH DIRECTION OF ARRIVAL AND GENERALIZED SIMILARITY CONSTRAINTS
Yongwei Huang, Mingkang Zhou, Guangdong University of Technology, China; Sergiy A Vorobyov, Aalto University, Finland

SAM-P3.3: A NEW QUADRATIC MATRIX INEQUALITY APPROACH TO ROBUST ADAPTIVE BEAMFORMING FOR GENERAL-RANK SIGNAL MODEL
Yongwei Huang, Guangdong University of Technology, China; Sergiy A Vorobyov, Aalto University, Finland; Zhi-Quan Luo, Chinese University of Hong Kong, China

SAM-P3.4: PHASE-ONLY ROBUST MINIMUM DISPERSION BEAMFORMING
Xue Jiang, Shanghai Jiao Tong University, China; Jiayi Chen, Shenzhen University, China; Xingzhao Liu, Shanghai Jiao Tong University, China; Abdelhak M. Zoubir, Technische Universität Darmstadt, Germany

SAM-P3.5: ROBUST CAPON BEAMFORMING VIA ADMM
Wen Fan, Junli Liang, Guoyang Yu, Northwestern Polytechnical University, China; Hing Cheung So, City University of Hong Kong, Hong Kong SAR of China; Jian Li, University of Science and Technology of China, China

SAM-P3.6: ADAPTIVE REDUCED-DIMENSIONAL BEAMSPACE BEAMFORMER DESIGN BY ANALOGUE BEAM SELECTION
Xiangrong Wang, Beihang University, China; Elias Aboutanios, University of New South Wales, Australia

SAM-P3.7: 2D BEAMFORMING ON SPARSE ARRAYS WITH SPARSE BAYESIAN LEARNING
Santosh Nannuru, IIIT Hyderabad, India; Peter Gerstoft, Scripps Institution of Oceanography, UC San Diego, United States

SAM-P3.8: ROBUST BEAMSPACE DESIGN FOR DIRECT LOCALIZATION
Hanying Zhao, Ning Zhang, Yuan Shen, Tsinghua University, China

SAM-P3.9: UPLINK MULTI-USER MIMO DETECTION VIA PARALLEL ACCESS
Keke Zu, KK Innovation AB, Sweden; Jun Zhu, University of Victoria, Canada; Martin Haardt, Ilmenau University of Technology, Germany

SAM-P3.10: A METHOD BASED ON L-BFGS TO SOLVE CONSTRAINED COMPLEX-VALUED ICA
Anh H. T. Nguyen, Nanyang Technological University, Singapore; V. G. Reju, Cochin University of Science and Technology, Singapore; Andy W. H. Khong, Nanyang Technological University, Singapore

SAM-P3.11: GENERALIZED LINEAR FREQUENCY DIVERSE ARRAY MANIFOLD CURVE ANALYSIS
Tianxing Liao, Ye Pan, Wen-Qin Wang, University of Electronic Science and Technology of China, China

SAM-P3.12: AN EFFICIENT ALGORITHM FOR UNIT-MODULUS QUADRATIC PROGRAMS WITH APPLICATION IN BEAMFORMING FOR WIRELESS SENSOR NETWORKS
Christos Tsinos, Björn Ottersten, University of Luxembourg, Luxembourg

SAM-P4: Localization and Tracking

SAM-P4.1: AN LS LOCALISATION METHOD FOR MASSIVE MIMO TRANSMISSION SYSTEMS
Markus Rupp, Stefan Schwarz, TU Wien, Austria

SAM-P4.2: ALGEBRAIC SOLUTION FOR TDOA LOCALIZATION IN MODIFIED POLAR REPRESENTATION
Yimao Sun, University of Electronic Science and Technology of China, China; K. C. Ho, University of Missouri, United States; Qun Wan, University of Electronic Science and Technology of China, China

SAM-P4.3: TOA SOURCE NODE SELF-POSITIONING WITH UNKNOWN CLOCK SKEW IN WIRELESS SENSOR NETWORKS
Yanbin Zou, Qun Wan, University of Electronic Science and Technology of China, China; Huaping Liu, Oregon State University, United States

SAM-P4.4: 3D AOA TARGET TRACKING WITH TWO-STEP INSTRUMENTAL-VARIABLE KALMAN FILTERING
Ngoc Hung Nguyen, Kutluyil Dogancay, University of South Australia, Australia

SAM-P4.5: MULTIRESOLUTION TIME-OF-ARRIVAL ESTIMATION FROM MULTIBAND RADIO CHANNEL MEASUREMENTS
Tarik Kazaz, Raj Thilak Rajan, Gerard Janssen, Alle-Jan van der Veen, Delft University of Technology, Netherlands

SAM-P4.6: A DATA-SELECTIVE LS SOLUTION TO TDOA-BASED SOURCE LOCALIZATION
Jose Antonio Apolinario Junior, Hamed Yazdanpanah, Antonio da Silva Nascimento Filho, Military Institute of Engineering (IME), Brazil; Marcello Luiz Rodrigues de Campos, Federal University of Rio de Janeiro (UFRJ), Brazil

SAM-P4.7: ISING MODEL FORMULATION OF OUTLIER REJECTION, WITH APPLICATION IN WIFI BASED POSITIONING
Muhammed Tahsin Rahman, Shuo Han, Navid Tadayon, Shahrokh Valaee, University of Toronto, Canada

SAM-P4.8: ROBUST SELF-CALIBRATION OF CONSTANT OFFSET TIME-DIFFERENCE-OF-ARRIVAL
Kenneth Batstone, Gabrielle Flood, Lund University, Sweden; Thejasvi Beleyur, Max Planck Institute for Ornithology, Germany; Viktor Larsson, ETH Zurich, Switzerland; Holger R. Goerlitz, Max Planck Institute for Ornithology, Germany; Magnus Oskarsson, Kalle Åström, Lund University, Sweden

SAM-P4.9: NON-COHERENT SENSOR FUSION VIA ENTROPY REGULARIZED OPTIMAL MASS TRANSPORT
Filip Elvander, Lund University, Sweden; Isabel Haasler, KTH Royal Institute of Technology, Sweden; Andreas Jakobsson, Lund University, Sweden; Johan Karlsson, KTH Royal Institute of Technology, Sweden

SAM-P4.10: DISTRIBUTED TRACKING OF MANEUVERING TARGET: A FINITE-TIME ALGORITHM
Jemin George, U.S. Army Research Laboratory, United States

SAM-P4.11: AN EFFICIENCY-IMPROVED TDOA-BASED DIRECT POSITION DETERMINATION METHOD FOR MULTIPLE SOURCES
Kegang Hao, Qun Wan, University of Electronic Science and Technology of China, China

SAM-P5: Detection, Estimation and Classification

SAM-P5.1: MAKING DECISIONS WITH SHUFFLED BITS
Stefano Marano, University of Salerno, Italy; Peter Willett, University of Connecticut, United States

SAM-P5.2: COOPERATIVE DETECTION VIA DIRECT LOCALIZATION IN MOBILE MULTI-AGENT NETWORKS
Kai Gu, Yuan Shen, Tsinghua University, China

SAM-P5.3: DISTRIBUTED BAYESIAN ESTIMATION WITH LOW-RANK DATA: APPLICATION TO SOLAR ARRAY PROCESSING
Raksha Ramakrishna, Anna Scaglione, Andreas Spanias, Cihan Tepedelenlioglu, Arizona State University, United States

SAM-P5.4: ONLINE ESTIMATION AND SMOOTHING OF A TARGET TRAJECTORY IN MIXED STATIONARY/MOVING CONDITIONS
Angelo Coluccia, Alessio Fascista, Giuseppe Ricci, Università del Salento, Italy

SAM-P5.5: FREQUENCY-DOMAIN BASED WAVEFORM DESIGN FOR BINARY EXTENDED-TARGET CLASSIFICATION
Sultan Alshirah, The University of Edinburgh / King Abdulaziz City for Science and Technology (KACST), United Kingdom; Shahzad Gishkori, Bernard Mulgrew, The University of Edinburgh, United Kingdom

SAM-P5.6: DYNAMIC RESOURCE OPTIMIZATION FOR DECENTRALIZED SIGNAL ESTIMATION IN ENERGY HARVESTING WIRELESS SENSOR NETWORKS
Paolo Di Lorenzo, Claudio Battiloro, Sapienza University of Rome, Italy; Paolo Banelli, University of Perugia, Italy; Sergio Barbarossa, Sapienza University of Rome, Italy

SAM-P5.7: MULTI-TARGET MOTION PARAMETER ESTIMATION EXPLOITING COLLABORATIVE UAV NETWORK
Ammar Ahmed, Shuimei Zhang, Yimin D. Zhang, Temple University, United States

SAM-P5.8: DOMAIN ADAPTATION USING RIEMANNIAN GEOMETRY OF SPD MATRICES
Gal Maman, Or Yair, Danny Eytan, Ronen Talmon, Technion - Israel Institute of Technology, Israel

SAM-P5.9: CRAMER-RAO BOUND FOR DOA ESTIMATORS UNDER THE PARTIAL RELAXATION FRAMEWORK
Minh Trinh Hoang, Darmstadt University of Technology, Germany; Mats Viberg, Blekinge Institute of Technology, Sweden; Marius Pesavento, Darmstadt University of Technology, Germany

SAM-P5.10: TOEPLITZ MATRIX COMPLETION FOR DIRECTION FINDING USING A MODIFIED NESTED LINEAR ARRAY
Huiping Huang, Technische Universitat Darmstadt, Germany; Yang Miao, Yi Gong, Southern University of Science and Technology, China; Bin Liao, Shenzhen University, China

SAM-P5.11: OCCUPANCY PATTERN RECOGNITION WITH INFRARED ARRAY SENSORS: A BAYESIAN APPROACH TO MULTI-BODY TRACKING
Stefano Savazzi, Vittorio Rampa, Sanaz Kianoush, Consiglio Nazionale delle Ricerche CNR, Italy; Alberto Minora, Leonardo Costa, Cognimade SrL, Italy

SAM-P5.12: ADAPTIVE DETECTION IN DISTRIBUTED NETWORKS USING MAXIMUM LIKELIHOOD DETECTOR
Allan Feitosa, Vítor Nascimento, Cássio Lopes, Universidade de São Paulo, Brazil

SPCOM-L1: Massive MIMO

SPCOM-L1.1: MASSIVE MIMO CHANNEL ESTIMATION WITH 1-BIT SPATIAL SIGMA-DELTA ADCS
Shilpa Rao, A. Lee Swindlehurst, Hessam Pirzadeh, University of California, Irvine, United States

SPCOM-L1.2: TASK-BASED QUANTIZATION FOR MASSIVE MIMO CHANNEL ESTIMATION
Nir Shlezinger, Yonina C. Eldar, Weizmann Institute, Israel; Miguel Rodrigues, University College London, United Kingdom

SPCOM-L1.3: MASSIVE MIMO MULTICAST BEAMFORMING VIA ACCELERATED RANDOM COORDINATE DESCENT
Shuai Wang, Lei Cheng, The University of Hong Kong, Hong Kong SAR of China; Minghua Xia, Sun Yat-Sen University, China; Yik-Chung Wu, The University of Hong Kong, Hong Kong SAR of China

SPCOM-L1.4: A FAIR AND SCALABLE POWER CONTROL SCHEME IN MULTI-CELL MASSIVE MIMO
Amin Ghazanfari, Linköping University, Sweden; Hei Victor Cheng, University of Toronto, Sweden; Emil Björnson, Erik G. Larsson, Linköping University, Sweden

SPCOM-L1.5: ON ACHIEVABLE RATES FOR MASSIVE MIMO SYSTEM WITH IMPERFECT CHANNEL COVARIANCE INFORMATION
Kameswara Atchutaram Kocharlakota, Aalto University, Finland; Karthik Upadhya, Nokia Bell Labs, Finland; Sergiy A Vorobyov, Aalto University, Finland

SPCOM-L1.6: COORDINATED PILOT DESIGN FOR MASSIVE MIMO
Kaiming Shen, University of Toronto, Canada; Yonina C. Eldar, Technion - Israel Institute of Technology, Israel; Wei Yu, University of Toronto, Canada

SPCOM-L2: Learning in Communication Systems

SPCOM-L2.1: ADVERSARIAL MULTI-USER BANDITS FOR UNCOORDINATED SPECTRUM ACCESS
Meghana Bande, Venugopal V. Veeravalli, University of Illinois at Urbana-Champaign, United States

SPCOM-L2.2: DEEP LEARNING PROPAGATION MODELS OVER IRREGULAR TERRAIN
Mónica Ribero, University of Texas at Austin, United States; Dmitry Chizhik, Reinaldo A. Valenzuela, Nokia Bell Laboratories, United States; Robert W. Heath Jr., Haris Vikalo, University of Texas at Austin, United States

SPCOM-L2.3: ONLINE LEARNING FOR COMPUTATION PEER OFFLOADING WITH SEMI-BANDIT FEEDBACK
Hongbin Zhu, ShanghaiTech University, China; Kai Kang, Shanghai Advanced Research Institute, China; Xiliang Luo, ShanghaiTech University, China; Hua Qian, Shanghai Advanced Research Institute, China

SPCOM-L2.4: DEEP CNN FOR WIDEBAND MMWAVE MASSIVE MIMO CHANNEL ESTIMATION USING FREQUENCY CORRELATION
Peihao Dong, Hua Zhang, Southeast University, China; Geoffrey Ye Li, Georgia Institute of Technology, United States; Navid NaderiAlizadeh, Ivan Simoes Gaspar, Intel Corporation, United States

SPCOM-L2.5: A LEARNING APPROACH TO WIRELESS INFORMATION AND POWER TRANSFER SIGNAL AND SYSTEM DESIGN
Morteza Varasteh, Enrico Piovano, Bruno Clerckx, Imperial College London, United Kingdom

SPCOM-L2.6: LEVERAGING MMWAVE IMAGING AND COMMUNICATIONS FOR SIMULTANEOUS LOCALIZATION AND MAPPING
Mohammed Aladsani, Ahmed Alkhateeb, Georgios C. Trichopoulos, Arizona State University, United States

SPCOM-L3: Performance Analysis of Communication Systems

SPCOM-L3.1: A SIMPLE BOUND ON THE BER OF THE MAP DECODER FOR MASSIVE MIMO SYSTEMS
Christos Thrampoulidis, University of California, Santa Barbara, United States; Ilias Zadik, Yury Polyanskiy, Massachusetts Institute of Technology, United States

SPCOM-L3.2: ON THE EQUIVALENCE OF SEMIDIFINITE RELAXATIONS FOR MIMO DETECTION WITH GENERAL CONSTELLATIONS
Ya-Feng Liu, Chinese Academy of Sciences, China; Zi Xu, Shanghai University, China; Cheng Lu, North China Electric Power University, China

SPCOM-L3.3: PERFORMANCE ANALYSIS OF CONVEX DATA DETECTION IN MIMO
Ehsan Abbasi, Fariborz Salehi, Babak Hassibi, Caltech, United States

SPCOM-L3.4: NOVEL LOWER BOUND ON THE PERFORMANCE OF A PARTIAL ZERO FORCING RECEIVER IN A MIMO CELLULAR NETWORK
Rei Richter, Sagi Ezri, Itsik Bergel, Bar Ilan University, Israel

SPCOM-L3.5: WHEN CAN A SYSTEM OF SUBNETWORKS BE REGISTERED UNIQUELY?
Aditya Singh, Kunal Chaudhury, Indian Institute of Science, India

SPCOM-L3.6: ASYNCHRONOUS NEIGHBOR DISCOVERY USING COUPLED COMPRESSIVE SENSING
Vamsi Amalladinne, Krishna Narayanan, Jean-Francois Chamberland, Texas A&M University, United States; Dongning Guo, Northwestern University, United States

SPCOM-P1: Networks and Distributed Optimization

SPCOM-P1.1: DISTRIBUTED NETWORK CACHING VIA DYNAMIC PROGRAMMING
Alireza Sadeghi, University of Minnesota, United States; Antonio G. Marques, King Juan Carlos University, Spain; Georgios B. Giannakis, University of Minnesota, United States

SPCOM-P1.2: COLLABORATIVE SENSOR CACHING VIA SEQUENTIAL COMPRESSED SENSING
Yi-Jen Yang, National Tsing Hua University, Taiwan; Ming-Hsun Yang, National Chiao Tung University, Taiwan; Y.-W. Peter Hong, National Tsing Hua University, Taiwan; Jwo-Yuh Wu, National Chiao Tung University, Taiwan

SPCOM-P1.3: CONTROL AWARE COMMUNICATION DESIGN FOR TIME SENSITIVE WIRELESS SYSTEMS
Mark Eisen, University of Pennsylvania, United States; Mohammad M. Rashid, Intel Corporation, United States; Konstantinos Gatsis, University of Pennsylvania, United States; Dave Cavalcanti, Nageen Himayat, Intel Corporation, United States; Alejandro Ribeiro, University of Pennsylvania, United States

SPCOM-P1.4: ENERGY MINIMIZATION OF MULTI-USER LATENCY-CONSTRAINED BINARY COMPUTATION OFFLOADING
Mahsa Salmani, Timothy N. Davidson, McMaster University, Canada

SPCOM-P1.5: LATENCY DRIVEN FRONTHAUL BANDWIDTH ALLOCATION AND COOPERATIVE BEAMFORMING FOR CACHE-ENABLED CLOUD-BASED SMALL CELL NETWORKS
Xiongwei Wu, The Chinese University of Hong Kong, China; Xiuhua Li, Chongqing University, China; Qiang Li, University of Electronic Science and Technology of China, China; Victor C. M. Leung, The University of British Columbia, Canada; Pak-Chung Ching, The Chinese Univeristy of Hong Kong, Hong Kong SAR of China

SPCOM-P1.6: DISTRIBUTED NONCOHERENT TRANSMIT BEAMFORMING FOR DENSE SMALL CELL NETWORKS
Quang-Doanh Vu, University of Oulu, Finland; Le-Nam Tran, University College Dublin, Ireland; Markku Juntti, University of Oulu, Finland

SPCOM-P1.7: DISTRIBUTED CONVEX OPTIMIZATION WITH LIMITED COMMUNICATIONS
Milind Rao, Stanford University, United States; Stefano Rini, National Chiao Tung University, Taiwan; Andrea Goldsmith, Stanford University, United States

SPCOM-P1.8: FAST EDGE-CONSENSUS COMPUTING BASED ON BREGMAN MONOTONE OPERATOR SPLITTING
Kenta Niwa, NTT Corporation, Japan; Guoqiang Zhang, University of Technology Sydney, Australia; W. Bastiaan Kleijn, Victoria University of Wellington, New Zealand

SPCOM-P1.9: QUANTIZED EVENT-TRIGGERED SAMPLED-DATA AVERAGE CONSENSUS WITH GUARANTEED RATE OF CONVERGENCE
Amir Amini, Amir Asif, Arash Mohammadi, Concordia University, Canada

SPCOM-P1.10: DISTRIBUTED UAV PLACEMENT OPTIMIZATION FOR COOPERATIVE LINE-OF-SIGHT MIMO COMMUNICATIONS
Samer Hanna, Han Yan, Danijela Cabric, University of California, Los Angeles, United States

SPCOM-P1.11: ONLINE RADIO MAP UPDATE BASED ON A MARGINALIZED PARTICLE GAUSSIAN PROCESS
Zhendong Xu, Baoqi Huang, Bing Jia, Wuyungerile Li, Inner Mongolia University, China

SPCOM-P1.12: OPTIMUM SAMPLING FOR PACKET ASSISTED ROUND TRIP TIME MEASUREMENT
Hans-Peter Bernhard, Silicon Austria Labs, Austria; Bernhard Etzlinger, Andreas Springer, Johannes Kepler University Linz, Austria

SPCOM-P2: Antennas Design and Channel Estimation

SPCOM-P2.1: DYNAMIC METASURFACES FOR MASSIVE MIMO NETWORKS
Nir Shlezinger, Weizmann Institute, Israel; Or Dicker, Technion, Israel; Yonina C. Eldar, Weizmann Institute, Israel; Mohammadreza Imani, David Smith, Duke, United States

SPCOM-P2.2: SAMPLING SCHEMES FOR ACCURATE RECONSTRUCTION AND COMPUTATION OF PERFORMANCE PARAMETERS OF ANTENNA RADIATION PATTERN
Umair Ahmed, Zubair Khalid, Lahore University of Management Sciences, Pakistan

SPCOM-P2.3: LOCALIZED RANDOM SAMPLING FOR ROBUST COMPRESSIVE BEAM ALIGNMENT
Nitin Jonathan Myers, Robert W. Heath Jr., The University of Texas at Austin, United States

SPCOM-P2.4: POWER-EFFICIENT BEAM PATTERN SYNTHESIS VIA SEQUENTIAL OUTER APPROXIMATION PROCEDURE
Jianjun Zhang, Jiaheng Wang, Southeast University, China; Qingjiang Shi, Tongji University, China; Yongming Huang, Southeast University, China

SPCOM-P2.5: SCATTERING MULTI-CONNECTIVITY ESTIMATION FOR INDOOR MMWAVE SMALL CELLS UNDER LIMITED TRAINING STEPS
Hung-Yi Cheng, Ching-Chun Liao, An-Yeu (Andy) Wu, National Taiwan University, Taiwan

SPCOM-P2.6: CHANNEL ESTIMATION AND LOW-COMPLEXITY BEAMFORMING DESIGN FOR PASSIVE INTELLIGENT SURFACE ASSISTED MISO WIRELESS ENERGY TRANSFER
Deepak Mishra, Håkan Johansson, Linköping University, Sweden

SPCOM-P2.7: DECISION FEEDBACK SEMI-BLIND ESTIMATION ALGORITHM FOR SPECULAR OFDM CHANNELS
Abdelhamid Ladaycia, L2TI laboratory, Institut Galilée, France; Marius Pesavento, Communication Systems Group, Darmstadt University of Technology, Germany; Anissa Mokraoui, Paris 13 university, France; Karim Abed-Meraim, Orleans university, France; Adel Belouchrani, Ecole Nationale Polytechnique, Algeria

SPCOM-P2.8: FEEDBACK-CONTROLLED CHANNEL ESTIMATION WITH LOW-RESOLUTION ADCS IN MULTIUSER MIMO SYSTEMS
Rodrigo P. David, João Cal-Braz, National Institute of Metrology, Quality and Technology, Brazil

SPCOM-P2.9: MASSIVE MIMO CHANNEL ESTIMATION FOR MILLIMETER WAVE SYSTEMS VIA MATRIX COMPLETION
Evangelos Vlachos, University of Edinburgh, United Kingdom; George Alexandropoulos, National and Kapodistrian University of Athens, Greece; John Thompson, University of Edinburgh, United Kingdom

SPCOM-P3: Precoding and Transceiver Design

SPCOM-P3.1: INTERFERENCE EXPLOITATION PRECODING FOR MULTI-LEVEL MODULATIONS
Ang Li, University of Sydney, Australia; Christos Masouros, University College London, United Kingdom; Yonghui Li, Branka Vucetic, University of Sydney, Australia

SPCOM-P3.2: DISCRETE CONSTANT ENVELOPE TRANSCEIVER DESIGN FOR MULTIUSER MASSIVE MIMO DOWNLINK
Mingjie Shao, The Chinese University of Hong Kong, China; Qiang Li, University of Electronic Science and Technology of China, China; Wing-Kin Ma, The Chinese University of Hong Kong, China

SPCOM-P3.3: MSE BASED PRECODING SCHEMES FOR PARTIALLY CORRELATED TRANSMISSIONS IN INTERFERENCE CHANNELS
Navneet Garg, University of Edinburgh, United Kingdom; Govind Sharma, Indian Institute of Technology Kanpur, India; Tharmalingam Ratnarajah, The University of Edinburgh, United Kingdom

SPCOM-P3.4: PRECODING DESIGN FOR THE MIMO-ROC DOWNLINK
Valentina Rizzello, Politecnico di Milano, Technische Universität München, Italy; Michael Joham, Technische Universität München, Germany; Andrea Matera, Politecnico di Milano, Italy; Wolfgang Utschick, Technische Universität München, Germany; Umberto Spagnolini, Politecnico di Milano, Italy

SPCOM-P3.5: POWER MINIMIZATION IN MULTI-TIER NETWORKS WITH FLEXIBLE DUPLEXING
Jacobo Fanjul, Ignacio Santamaria, University of Cantabria, Spain

SPCOM-P3.6: NOVEL DETECTION METHODS FOR ZERO-PADDED SINGLE CARRIER SPATIAL MODULATION IN DOUBLY SELECTIVE CHANNELS
Hamed Abdzadeh-Ziabari, Benoit Champagne, McGill University, Canada

SPCOM-P3.7: ON OPTIMAL BEAM STEERING DIRECTIONS IN MILLIMETER WAVE SYSTEMS
Ahmed Elshafiy, Kenneth Rose, University of California, Santa Barbara, United States; Ashwin Sampath, Mixcomm Inc., United States

SPCOM-P3.8: A SPARSE ENCODING AND PHASELESS DECODING APPROACH FOR FAST MMWAVE BEAM ALIGNMENT
Xingjian Li, Jun Fang, Huiping Duan, University of Electronic Science and Technology of China, China; Hongbin Li, Stevens Institute of Technology, United States

SPCOM-P3.9: HYBRID BEAMFORMING: WHERE SHOULD THE ANALOG POWER AMPLIFIERS BE PLACED?
Yasemin Karacora, Ali Kariminezhad, Aydin Sezgin, Ruhr-Universität Bochum, Germany

SPCOM-P3.10: CHANNEL PROTECTION USING RANDOM MODULATION
Ali Ahmed, Humera Hameed, Information Technology University, Lahore, Pakistan

SPCOM-P3.11: POWER MINIMIZER SYMBOL-LEVEL PRECODING: A CLOSED-FORM SUB-OPTIMAL SOLUTION
Alireza Haqiqatnejad, Farbod Kayhan, Björn Ottersten, University of Luxembourg, Luxembourg

SPCOM-P3.12: CONSTRUCTIVE INTERFERENCE FOR GENERIC CONSTELLATIONS
Alireza Haqiqatnejad, Farbod Kayhan, Björn Ottersten, University of Luxembourg, Luxembourg

SPCOM-P4: Optimization and Resource Allocation for Communication Systems

SPCOM-P4.1: DUAL DOMAIN LEARNING OF OPTIMAL RESOURCE ALLOCATIONS IN WIRELESS SYSTEMS
Mark Eisen, Clark Zhang, Luiz F. O. Chamon, University of Pennsylvania, United States; Daniel D. Lee, Cornell University, United States; Alejandro Ribeiro, University of Pennsylvania, United States

SPCOM-P4.2: ADMM-BASED BEAMFORMING OPTIMIZATION FOR PHYSICAL LAYER SECURITY IN A FULL-DUPLEX RELAY SYSTEM
Batu K. Chalise, New York Institute of Technology, United States

SPCOM-P4.3: AN ADMM ALGORITHM FOR PEAK TRANSMISSION ENERGY MINIMIZATION IN SYMBOL-LEVEL PRECODING
Yatao Liu, Mingjie Shao, Wing-Kin Ma, The Chinese University of Hong Kong, China

SPCOM-P4.4: FAST FIRST-ORDER METHODS FOR THE MASSIVE ROBUST MULTICAST BEAMFORMING PROBLEM WITH INTERFERENCE TEMPERATURE CONSTRAINTS
Huikang Liu, Peng Wang, Anthony Man-Cho So, The Chinese University of Hong Kong, Hong Kong SAR of China

SPCOM-P4.5: MULTICAST BEAMFORMING USING SEMIDEFINITE RELAXATION AND BOUNDED PERTURBATION RESILIENCE
Jochen Fink, Renato Cavalcante, Slawomir Stanczak, Fraunhofer Heinrich Hertz Institute, Germany

SPCOM-P4.6: BLOCK ALTERNATING OPTIMIZATION FOR NON-CONVEX MIN-MAX PROBLEMS: ALGORITHMS AND APPLICATIONS IN SIGNAL PROCESSING AND COMMUNICATIONS
Songtao Lu, Ioannis Tsaknakis, Mingyi Hong, University of Minnesota, United States

SPCOM-P4.7: DYNAMIC JOINT RESOURCE ALLOCATION AND USER ASSIGNMENT IN MULTI-ACCESS EDGE COMPUTING
Mattia Merluzzi, Paolo Di Lorenzo, Sergio Barbarossa, Sapienza University of Rome, Italy

SPCOM-P4.8: SPARSE BLIND DEMIXING FOR LOW-LATENCY SIGNAL RECOVERY IN MASSIVE IOT CONNECTIVITY
Jialin Dong, Yuanming Shi, ShanghaiTech University, China; Zhi Ding, University of California, Davis, United States

SPCOM-P4.9: ENERGY-EFFICIENT DESIGN FOR UNDERLAY COGNITIVE RADIO USING IMPROPER SIGNALING
Mohammad Soleymani, Christian Lameiro, Peter J. Schreier, Universität Paderborn, Germany; Ignacio Santamaria, University of Cantabria, Spain

SPCOM-P4.10: DEEP JOINT SOURCE-CHANNEL CODING FOR WIRELESS IMAGE TRANSMISSION
Eirina Bourtsoulatze, University College London, United Kingdom; David Burth Kurka, Deniz Gunduz, Imperial College London, United Kingdom

SPCOM-P4.11: SPECTRAL EFFICIENCY OF NONCOOPERATIVE UPLINK MASSIVE MIMO SYSTEMS WITH JOINT DECODING
Nir Shlezinger, Yonina C. Eldar, Weizmann Institute, Israel

SPCOM-P4.12: LEARNING-BASED PRICING FOR PRIVACY-PRESERVING JOB OFFLOADING IN MOBILE EDGE COMPUTING
Lingxiang Li, Central South University, China; Marie Siew, Tony Q.S. Quek, Singapore University of Technology and Design, Singapore

SPCOM-P5: Multicarrier and Interference Networks

SPCOM-P5.1: FLEXIBLE SPECTRAL PRECODING FOR SIDELOBE SUPPRESSION IN OFDM SYSTEMS
Khawar Hussain, University of Vigo, Spain; Ana Lojo, TRedess 2010, S.L., Spain; Roberto López-Valcarce, University of Vigo, Spain

SPCOM-P5.2: FREQUENCY-SELECTIVE HYBRID PRECODING AND COMBINING FOR MMWAVE MIMO SYSTEMS WITH PER-ANTENNA POWER CONSTRAINTS
Javier Rodríguez-Fernández, The University of Texas at Austin, United States; Roberto López-Valcarce, Universidade de Vigo, Spain; Nuria González-Prelcic, The University of Texas at Austin, United States

SPCOM-P5.3: FREQUENCY-DOMAIN DECOUPLING FOR MIMO-GFDM SPATIAL MULTIPLEXING
Ching-Lun Tai, Borching Su, Cai Jia, National Taiwan University, Taiwan

SPCOM-P5.4: COMPLEMENTARY SEQUENCE ENCODING FOR 1D AND 2D CONSTANT-MODULUS OFDM TRANSMISSION AT MILLIMETER WAVE FREQUENCIES
Kyle Willstatter, Michael D. Zoltowski, Purdue University, United States

SPCOM-P5.5: EXCESS CYCLIC PREFIX WINDOW OPTIMIZATION FOR HIGH DOPPLER MIMO OFDM CAPACITY
Kalyana Gopala, Dirk Slock, Eurecom, France

SPCOM-P5.6: JOINT CODEBOOK DESIGN FOR MULTI-CELL NOMA
Bashar Tahir, Stefan Schwarz, Markus Rupp, TU Wien, Austria

SPCOM-P5.7: LOW-COMPLEXITY DETECTION AND PERFORMANCE ANALYSIS FOR DECODE-AND-FORWARD RELAY NETWORKS
Yuxin Lu, Wai Ho Mow, Hong Kong University of Science and Technology, China

SPCOM-P5.8: WEAKLY STANDARD INTERFERENCE MAPPINGS: EXISTENCE OF FIXED POINTS AND APPLICATIONS TO POWER CONTROL IN WIRELESS NETWORKS
Renato Luis Garrido Cavalcante, Slawomir Stanczak, Fraunhofer Heinrich Hertz Institute/TU Berlin, Germany

SPCOM-P5.9: IMPROPER GAUSSIAN SIGNALING FOR THE TWO-USER BROADCAST CHANNEL TREATING INTERFERENCE AS NOISE
Christian Lameiro, University of Paderborn, Germany; Ignacio Santamaria, University of Cantabria, Spain; Peter J. Schreier, University of Paderborn, Spain

SPCOM-P5.10: GLOBAL ENERGY EFFICIENCY MAXIMIZATION IN NON-ORTHOGONAL INTERFERENCE NETWORKS
Bho Matthiesen, Eduard A. Jorswieck, TU Dresden, Germany

SPCOM-P5.11: MULTI-USER COMMUNICATION IN DIFFICULT INTERFERENCE
Dushyantha Basnayaka, Tharmalingam Ratnarajah, University of Edinburgh, United Kingdom

SPCOM-P5.12: MULTIPLE CYCLE FREQUENCIES ESTIMATION UNDER COCHANNEL INTERFERENCE
John Yang, Wee Ser, Lei Lei, Nanyang Technological University, Singapore

SPTM-L1: Adaptive Signal Processing

SPTM-L1.1: A RECURSIVE LEAST-SQUARES ALGORITHM BASED ON THE NEAREST KRONECKER PRODUCT DECOMPOSITION
Camelia Elisei-Iliescu, Constantin Paleologu, University Politehnica of Bucharest, Romania; Jacob Benesty, University of Quebec, Canada; Silviu Ciochina, University Politehnica of Bucharest, Romania

SPTM-L1.2: DATA-SELECTIVE LMS-NEWTON AND LMS-QUASI-NEWTON ALGORITHMS
Christos Tsinos, University of Luxembourg, Luxembourg; Paulo Diniz, University Federal do Rio de Janeiro, Brazil

SPTM-L1.3: TRACKING DYNAMIC SYSTEMS IN Α-STABLE ENVIROMENTS
Sayed Pouria Talebi, Aalto University, Finland; Stefan Werner, Norwegian University of Science and Technology, Norway; Shengxi Li, Danilo P. Mandic, Imperial College London, United Kingdom

SPTM-L1.4: CONVEX COMBINATION OF CONSTRAINT VECTORS FOR SET-MEMBERSHIP AFFINE PROJECTION ALGORITHMS
Tadeu Ferreira, Universidade Federal Fluminense, Brazil; Wallace Martins, Université du Luxembourg and Universidade Federal do Rio de Janeiro, Luxembourg; Markus Lima, Paulo Diniz, Universidade Federal do Rio de Janeiro, Brazil

SPTM-L1.5: ONLINE LEARNING WITH SELF-TUNED GAUSSIAN KERNELS: GOOD KERNEL-INITIALIZATION BY MULTISCALE SCREENING
Masaaki Takizawa, Masahiro Yukawa, Keio university, Japan

SPTM-L1.6: QUATERNION-VALUED ADAPTIVE FILTERING VIA NESTEROV'S EXTRAPOLATION
Thiernithi Variddhisai, Min Xiang, Imperial College London, United Kingdom; Scott Douglas, Southern Methodist University, United States; Danilo P. Mandic, Imperial College London, United Kingdom

SPTM-L2: Sparsity-Aware Signal Processing I

SPTM-L2.1: NOISY 1-BIT COMPRESSED SENSING WITH HETEROGENEOUS SIDE-INFORMATION
Swatantra Kafle, Syracuse University, United States; Thakshila Wimalajeewa, BAE Systems, United States; Pramod K. Varshney, Syracuse University, United States

SPTM-L2.2: SPARSE RECOVERY OVER NONLINEAR DICTIONARIES
Luiz F. O. Chamon, University of Pennsylvania, United States; Yonina C. Eldar, Technion - Israel Institute of Technology, Israel; Alejandro Ribeiro, University of Pennsylvania, United States

SPTM-L2.3: SPARSE BAYESIAN LEARNING FOR ROBUST PCA
Jing Liu, Yacong Ding, Bhaskar D. Rao, University of California, San Diego, United States

SPTM-L2.4: DISJUNCT MATRICES FOR COMPRESSED SENSING
Pradip Sasmal, Sai Subramanyam Thoota, Chandra R. Murthy, Indian Institute of Science, Bangalore, India

SPTM-L2.5: ON THE MOVE: LOCALIZATION WITH KINETIC EUCLIDEAN DISTANCE MATRICES
Puoya Tabaghi, Ivan Dokmanić, University of Illinois at Urbana-Champaign, United States; Martin Vetterli, École Polytechnique Fédérale de Lausanne, Switzerland

SPTM-L2.6: ROBUST APPROXIMATE MESSAGE PASSING FOR NONZERO-MEAN SENSING MATRICES
Stefan Birgmeier, Norbert Goertz, TU Wien, Austria

SPTM-L3: Convex Optimization

SPTM-L3.1: ANALYSIS OF SPARSE-INTEGER MEASUREMENT MATRICES IN COMPRESSIVE SENSING
Hang Zhang, Afshin Abdi, Faramarz Fekri, Georgia Institute of Technology, United States

SPTM-L3.2: NONLINEAR ACCELERATION OF CONSTRAINED OPTIMIZATION ALGORITHMS
Vien V. Mai, Mikael Johansson, KTH Royal Institute of Technology, Sweden

SPTM-L3.3: SHARPENING SPARSE REGULARIZERS
Abdullah Al-Shabili, Student/New York University, United States; Ivan Selesnick, Professor/New York University, United States

SPTM-L3.4: PERFORMANCE ANALYSIS OF DISCRETE-VALUED VECTOR RECONSTRUCTION BASED ON BOX-CONSTRAINED SUM OF L1 REGULARIZERS
Ryo Hayakawa, Kyoto University, Japan; Kazunori Hayashi, Osaka City University, Japan

SPTM-L3.5: CONVEXITY-EDGE-PRESERVING SIGNAL RECOVERY WITH LINEARLY INVOLVED GENERALIZED MINIMAX CONCAVE PENALTY FUNCTION
Jiro Abe, Masao Yamagishi, Isao Yamada, Tokyo Institute of Technology, Japan

SPTM-L3.6: CONVEX RELAXATIONS OF CONVOLUTIONAL NEURAL NETS
Burak Bartan, Mert Pilanci, Stanford University, United States

SPTM-L4: Signal Processing Over Graphs I

SPTM-L4.1: SPECTRUM-ADAPTED POLYNOMIAL APPROXIMATION FOR MATRIX FUNCTIONS
Li Fan, David Shuman, Macalester College, United States; Shashanka Ubaru, IBM, United States; Yousef Saad, University of Minnesota, United States

SPTM-L4.2: SPECTRAL PARTITIONING OF TIME-VARYING NETWORKS WITH UNOBSERVED EDGES
Michael Schaub, Massachusetts Institute of Technology, United States; Santiago Segarra, Rice University, United States; Hoi-To Wai, The Chinese University of Hong Kong, Hong Kong SAR of China

SPTM-L4.3: AGGREGATION GRAPH NEURAL NETWORKS
Fernando Gama, University of Pennsylvania, United States; Antonio G. Marques, King Juan Carlos University, Spain; Alejandro Ribeiro, University of Pennsylvania, United States; Geert Leus, Delft University of Technology, Netherlands

SPTM-L4.4: COMMUNITY INFERENCE FROM GRAPH SIGNALS WITH HIDDEN NODES
Hoi-To Wai, The Chinese University of Hong Kong, Hong Kong SAR of China; Yonina C. Eldar, Technion, Israel; Asuman Ozdaglar, Massachusetts Institute of Technology, United States; Anna Scaglione, Arizona State University, United States

SPTM-L4.5: SEMI-SUPERVISED MULTICLASS CLUSTERING BASED ON SIGNED TOTAL VARIATION
Peter Berger, Thomas Dittrich, Gabor Hannak, Gerald Matz, TU Wien, Austria

SPTM-L4.6: SMOOTH SIGNAL RECOVERY ON PRODUCT GRAPHS
Rohan Varma, Carnegie Mellon University, United States; Jelena Kovačević, New York University, United States

SPTM-L5: Source Separation and Estimation

SPTM-L5.1: SPECTRAL METHOD FOR MULTIPLEXED PHASE RETRIEVAL AND APPLICATION IN OPTICAL IMAGING IN COMPLEX MEDIA
Jonathan Dong, Laboratoire Kastler-Brossel, ENS-Université PSL, CNRS, Sorbonne Université, Collège de France, France; Florent Krzakala, Laboratoire de Physique Statistique, ENS-Université PSL, CNRS, Sorbonne Université, France; Sylvain Gigan, Laboratoire Kastler-Brossel, ENS-Université PSL, CNRS, Sorbonne Université, Collège de France, France

SPTM-L5.2: FUSING EIGENVALUES
Shahab Basiri, Esa Ollila, Aalto University, Finland; Gordana Drašković, Frédéric Pascal, L2S, CentraleSupelec, France

SPTM-L5.3: AN ALTERNATING PROJECTION ALGORITHM FOR APPROXIMATE SIMULTANEOUS DIAGONALIZATION
Riku Akema, Masao Yamagishi, Isao Yamada, Tokyo Institute of Technology, Japan

SPTM-L5.4: OPTIMAL SENSOR PLACEMENT FOR SIGNAL EXTRACTION
Fateme Ghayem, Bertrand Rivet, GIPSA-lab, University of Grenoble-Alpes, CNRS, Grenoble INP, France; Rodrigo Cabral Farias, I3S, Univ. Cˆote d’Azur, CNRS, France; Christian Jutten, GIPSA-lab, University of Grenoble-Alpes, CNRS, Grenoble INP, France

SPTM-L5.5: EFFICIENT THOMSON SPECTRAL ESTIMATOR WITH TIME-SHIFTED WINDOWS
Isabella Reinhold, Maria Sandsten, Lund University, Sweden

SPTM-L5.6: BOOTSTRAP-BASED BIAS REDUCTION FOR THE ESTIMATION OF THE SELF-SIMILARITY EXPONENTS OF MULTIVARIATE TIME SERIES
Herwig Wendt, CNRS, University of Toulouse, France; Patrice Abry, Univ Lyon, ENS de Lyon, Univ Claude Bernard, CNRS, France; Gustavo Didier, Tulane University, United States

SPTM-P1: Sampling, Reconstruction and Time-Frequency Analysis

SPTM-P1.1: EFFICIENT CONSTRAINED SIGNAL RECONSTRUCTION BY RANDOMIZED EPIGRAPHICAL PROJECTION
Shunsuke Ono, Tokyo Institute of Technology, Japan

SPTM-P1.2: MULTI-TASK ADAPTIVE MATCHING PURSUIT FOR SPARSE SIGNAL RECOVERY EXPLOITING SIGNAL STRUCTURES
Jiahao Liu, Qisong Wu, Southeast University, China; Yimin D. Zhang, Temple University, United States

SPTM-P1.3: A Q-GAUSSIAN MAXIMUM CORRENTROPY ADAPTIVE FILTERING ALGORITHM FOR ROBUST SPARSE RECOVERY IN IMPULSIVE NOISE
Le Gao, Xifeng Li, Dongjie Bi, Yongle Xie, University of Electronic Science and Technology of China, China

SPTM-P1.4: AN OPTIMAL-DIMENSIONALITY SAMPLING FOR SPIN-S FUNCTIONS ON THE SPHERE
Usama Elahi, The Australian National University, Australia; Zubair Khalid, Lahore University of Management Sciences, Pakistan; Rodney A. Kennedy, The Australian National University, Australia; Jason D. McEwen, University College London, United Kingdom

SPTM-P1.5: ANALYTIC PROPERTIES OF DOWNSAMPLING FOR BANDLIMITED SIGNALS
Holger Boche, Ullrich Mönich, Technical University of Munich, Germany

SPTM-P1.6: ON THE FOURIER REPRESENTATION OF COMPUTABLE CONTINUOUS SIGNALS
Holger Boche, Ullrich Mönich, Technical University of Munich, Germany

SPTM-P1.7: ALMOST TIGHT RATIONAL COEFFICIENTS BIORTHOGONAL WAVELET FILTERS
David Tay, Deakin University, Australia; Zhiping Lin, Nanyang Technological University, Singapore

SPTM-P1.8: A LEARNING APPROACH FOR WAVELET DESIGN
Dhruv Jawali, Abhishek Kumar, Chandra Sekhar Seelamantula, Indian Institute of Science, India

SPTM-P1.9: EFFICIENT ANALYSIS AND SYNTHESIS USING A NEW FACTORIZATION OF THE GABOR FRAME MATRIX
Salvador Moreno-Picot, Francesc J. Ferri, Miguel Arevalillo-Herráez, Wladimiro Díaz-Villanueva, Universitat de Valencia, Spain

SPTM-P1.10: THE DISCRETE COSINE TRANSFORM ON TRIANGLES
Bastian Seifert, Ansbach University of Applied Sciences, Germany; Knut Hüper, University of Würzburg, Germany

SPTM-P1.11: GEOMETRIC INVARIANTS FOR SPARSE UNKNOWN VIEW TOMOGRAPHY
Mona Zehni, Shuai Huang, Ivan Dokmanić, Zhizhen Zhao, University of Illinois at Urbana-Champaign, United States

SPTM-P2: Bayesian Signal Processing I

SPTM-P2.1: UPDATES IN BAYESIAN FILTERING BY CONTINUOUS PROJECTIONS ON A MANIFOLD OF DENSITIES
Filip Tronarp, Simo Särkkä, Aalto University, Finland

SPTM-P2.2: EFFICIENT SAMPLING THROUGH VARIABLE SPLITTING-INSPIRED BAYESIAN HIERARCHICAL MODELS
Maxime Vono, Nicolas Dobigeon, University of Toulouse, France; Pierre Chainais, Centrale Lille, France

SPTM-P2.3: NONLINEAR STATE ESTIMATION USING PARTICLE FILTERS ON THE STIEFEL MANIFOLD
Claudio Bordin, Universidade Federal do ABC, Brazil; Marcelo Bruno, Instituto Tecnológico de Aeronáutica, Brazil

SPTM-P2.4: SPARSE SIGNAL RECOVERY USING MPDR ESTIMATION
Maher Al-Shoukairi, Bhaskar D. Rao, University of California, San Diego, United States

SPTM-P2.5: A VARIATIONAL ADAPTIVE POPULATION IMPORTANCE SAMPLER
Yousef El-Laham, Petar Djuric, Monica Bugallo, SUNY at Stony Brook, United States

SPTM-P2.6: ONLINE VARIATIONAL BAYESIAN SUBSPACE FILTERING
Charul Paliwal, IIIT Delhi, India; Uttkarsha Bhatt, IIT Kanpur, India; Pravesh Biyani, IIIT Delhi, India; Ketan Rajawat, IIT Kanpur, India

SPTM-P2.7: A RECURSIVE BAYESIAN MODEL FOR EXTREME VALUES
Douglas Johnston, Farmingdale State College, United States; Petar Djuric, Stony Brook University, United States

SPTM-P2.8: EXPECTATION-PROPAGATION ALGORITHMS FOR LINEAR REGRESSION WITH POISSON NOISE: APPLICATION TO PHOTON-LIMITED SPECTRAL UNMIXING
Yoann Altmann, Heriot-Watt University, United Kingdom; Alessandro Perelli, Michael Davies, University of Edinburgh, United Kingdom

SPTM-P2.9: ON SELF-ASSESSMENT OF PROFICIENCY OF AUTONOMOUS SYSTEMS
Petar Djuric, Stony Brook University, United States; Pau Closas, Northeastern University, United States

SPTM-P2.10: LANGEVIN-BASED STRATEGY FOR EFFICIENT PROPOSAL ADAPTATION IN POPULATION MONTE CARLO
Víctor Elvira, IMT Lille Douai, France; Émilie Chouzenoux, University Paris East/INRIA/CentraleSupelec, France

SPTM-P2.11: CHANNEL ESTIMATION USING 1-BIT QUANTIZATION AND OVERSAMPLING FOR LARGE-SCALE MULTIPLE-ANTENNA SYSTEMS
Zhichao Shao, Lukas Landau, Rodrigo C. de Lamare, Pontifical Catholic University of Rio de Janeiro, Brazil

SPTM-P3: Sampling and Reconstruction II

SPTM-P3.1: ENERGY BLOWUP OF SAMPLING-BASED APPROXIMATION METHODS
Holger Boche, Volker Pohl, Technische Universität München, Germany

SPTM-P3.2: RETHINKING SUPER-RESOLUTION: THE BANDWIDTH SELECTION PROBLEM
Dmitry Batenkov, Massachusetts Institute of Technology, United States; Ayush Bhandari, Imperial College London, United Kingdom; Thierry Blu, The Chinese University of Hong Kong, Hong Kong SAR of China

SPTM-P3.3: FRI MODELLING OF FOURIER DESCRIPTORS
Abijith Jagannath Kamath, National Institute of Technology Karnataka, India; Sunil Rudresh, Chandra Sekhar Seelamantula, Indian Institute of Science, India

SPTM-P3.4: AN ANTIPODALLY SYMMETRIC OPTIMAL DIMENSIONALITY SAMPLING ON THE SPHERE
Wajeeha Nafees, Zubair Khalid, Lahore University of Management Sciences, Pakistan

SPTM-P3.5: ONE-BIT UNLIMITED SAMPLING
Olga Graf, Technical University of Munich, Germany; Ayush Bhandari, Imperial College London, United Kingdom; Felix Krahmer, Technical University of Munich, Germany

SPTM-P3.6: A NOVEL APPROXIMATE LLOYD-MAX QUANTIZER AND ITS ANALYSIS
Vijay Anavangot, Animesh Kumar, Indian Institute of Technology Bombay, India

SPTM-P3.7: COMBINING MATRIX DESIGN FOR 2D DOA ESTIMATION WITH COMPRESSIVE ANTENNA ARRAYS USING STOCHASTIC GRADIENT DESCENT
Sankalp Prakash Pawar, Sebastian Semper, TU Ilmenau, Germany; Florian Römer, Fraunhofer IZFP, Germany

SPTM-P3.8: A FAST AND ROBUST PARADIGM FOR FOURIER COMPRESSED SENSING BASED ON CODED SAMPLING
Frank Ong, University of California, Berkeley, United States; Reinhard Heckel, Rice University, United States; Kannan Ramchandran, University of California, Berkeley, United States

SPTM-P3.9: SOLVING CONTINUOUS-DOMAIN PROBLEMS EXACTLY WITH MULTIRESOLUTION B-SPLINES
Thomas Debarre, Julien Fageot, Harshit Gupta, Michael Unser, École Polytechnique Fédérale de Lausanne, Switzerland

SPTM-P3.10: A MAP FRAMEWORK FOR SUPPORT RECOVERY OF SPARSE SIGNALS USING ORTHOGONAL LEAST SQUARES
Shorya Consul, Abolfazl Hashemi, Haris Vikalo, University of Texas at Austin, United States

SPTM-P3.11: FRI SENSING: SAMPLING IMAGES ALONG UNKNOWN CURVES
Ruiming Guo, Thierry Blu, The Chinese University of Hong Kong, China

SPTM-P3.12: CONSTRUCTION OF OVERCOMPLETE MULTISCALE DICTIONARY OF SLEPIAN FUNCTIONS ON THE SPHERE
Adeem Aslam, Zubair Khalid, Lahore University of Management Sciences, Pakistan

SPTM-P4: Estimation Theory and Methods I

SPTM-P4.1: SQUARED-LOSS MUTUAL INFORMATION VIA HIGH-DIMENSION COHERENCE MATRIX ESTIMATION
Ferran de Cabrera Estanyol, Jaume Riba, Technical University of Catalonia, Spain

SPTM-P4.2: ASYMPTOTIC KULLBACK-LEIBLER INCREMENT TO CHARACTERIZE EXPERIMENT-INDUCED STRESS
Estelle Blons, Bordeaux University, France; Eric Grivel, Bordeaux INP, France; Veronique Deschodt-Arsac, Université de Bordeaux, France; Véronique Lespinet-Najib, Bordeaux INP, France

SPTM-P4.3: ESTIMATING THE NUMBER OF CORRELATED COMPONENTS BASED ON RANDOM PROJECTIONS
Christian Lameiro, Tanuj Hasija, Tim Marrinan, Peter J. Schreier, University of Paderborn, Germany

SPTM-P4.4: THE UNIVERSAL MANIFOLD EMBEDDING FOR ESTIMATING RIGID TRANSFORMATIONS OF POINT CLOUDS
Amit Efraim, Joseph M. Francos, Ben-Gurion University of the Negev, Israel

SPTM-P4.5: LOW POWER PILOT AIDED SUB-SAMPLE BASED CHANNEL ESTIMATION FOR MMWAVE CELLULAR SYSTEMS
Mahbuba Sheba Ullah, Ahmed Tewfik, University of Texas at Austin, United States

SPTM-P4.6: A CHARACTERIZATION OF STOCHASTIC MIRROR DESCENT ALGORITHMS AND THEIR CONVERGENCE PROPERTIES
Navid Azizan, Babak Hassibi, Caltech, United States

SPTM-P4.7: ON THE SENSITIVITY OF SPECTRAL INITIALIZATION FOR NOISY PHASE RETRIEVAL
Vincent Monardo, Yuejie Chi, Carnegie Mellon University, United States

SPTM-P4.8: COMBINING LINEAR ESTIMATION WITH SCALAR WIDELY LINEAR ESTIMATION
Christoph Hellings, Wolfgang Utschick, Technische Universität München, Germany

SPTM-P4.9: ALGEBRAICALLY-INITIALIZED EXPECTATION MAXIMIZATION FOR HEADER-FREE COMMUNICATION
Liangzu Peng, Xuming Song, Manolis Tsakiris, Hayoung Choi, Laurent Kneip, Yuanming Shi, ShanghaiTech University, China

SPTM-P4.10: ROBUST ADAPTIVE FILTERING WITH Q-GAUSSIAN KERNEL MEAN P-POWER ERROR
Libiao Peng, Xifeng Li, Dongjie Bi, Yongle Xie, University of Electronic Science and Technology of China, China

SPTM-P4.11: PERFORMANCE ENHANCEMENT OF THE MEASURE-TRANSFORMED MUSIC ALGORITHM VIA MSE BASED OPTIMIZATION
Nir Halay, Koby Todros, Ben-Gurion University of the Negev, Israel

SPTM-P4.12: FREQUENCY SEPARATION METHOD BASED ON SPARSE CODING
El Hadji Diop, University of Thies, Senegal; Karl Skretting, University of Stavanger, Norway

SPTM-P5: Bayesian Signal Processing II

SPTM-P5.1: LABELLED NON-ZERO PARTICLE FLOW FOR SMC-PHD FILTERING
Yang Liu, University of Surrey, United Kingdom; Qinghua Hu, Tianjin University, China; Yuexian Zou, Peking University Shenzhen Graduate School, China; Wenwu Wang, University of Surrey, United Kingdom

SPTM-P5.2: A NOVEL PROGRESSIVE GAUSSIAN APPROXIMATE FILTER WITH VARIABLE STEP SIZE BASED ON A VARIATIONAL BAYESIAN APPROACH
Mingming Bai, YuLong Huang, Yonggang Zhang, Harbin Engineering University, China; Lyudmila Mihaylova, The University of Sheffield, United Kingdom; Jonathon Chambers, University of Leicester, United Kingdom

SPTM-P5.3: STRUCTURAL RECURRENT NEURAL NETWORK FOR TRAFFIC SPEED PREDICTION
Youngjoo Kim, Peng Wang, Lyudmila Mihaylova, The University of Sheffield, United Kingdom

SPTM-P5.4: BAYESIAN FUSION OF ASYNCHRONOUS INERTIAL, SPEED AND POSITION DATA FOR OBJECT TRACKING
Jiaming Liang, Simon J. Godsill, University of Cambridge, United Kingdom

SPTM-P5.5: RANDOM INFINITE TREE AND DEPENDENT POISSON DIFFUSION PROCESS FOR NONPARAMETRIC BAYESIAN MODELING IN MULTIPLE OBJECT TRACKING
Bahman Moraffah, Antonia Papandreou-Suppappola, Arizona State University, United States

SPTM-P5.6: RIEMANN-LANGEVIN PARTICLE FILTERING IN TRACK-BEFORE-DETECT
Fernando Jose Iglesias Garcia, King Juan Carlos University, Netherlands; Mélanie Bocquel, Thales Nederland, Netherlands; Pranab Kumar Mandal, University of Twente, Netherlands; Antonio G. Marques, King Juan Carlos University, Netherlands

SPTM-P5.7: ENLLVM: ENSEMBLE BASED NONLINEAR BAYESIAN FILTERING USING LINEAR LATENT VARIABLE MODELS
Xiao Lin, University of South Carolina, United States; Gabriel Terejanu, University of North Carolina at Charlotte, United States

SPTM-P6: Signal Processing on Networks

SPTM-P6.1: CONSENSUS-BASED DISTRIBUTED TOTAL LEAST-SQUARES ESTIMATION USING PARAMETRIC SEMIDEFINITE PROGRAMMING
Cristiano Gratton, Naveen Venkategowda, NTNU, Norway; Reza Arablouei, CSIRO's Data61, Australia; Stefan Werner, NTNU, Norway

SPTM-P6.2: DISTRIBUTED INFERENCE OVER NETWORKS UNDER SUBSPACE CONSTRAINTS
Roula Nassif, Stefan Vlaski, Ali H. Sayed, École Polytechnique Fédérale de Lausanne, Switzerland

SPTM-P6.3: COLA: COMMUNICATION-CENSORED LINEARIZED ADMM FOR DECENTRALIZED CONSENSUS OPTIMIZATION
Weiyu Li, Yaohua Liu, University of Science and Technology of China, China; Zhi Tian, George Mason University, United States; Qing Ling, Sun Yat-Sen University, China

SPTM-P6.4: DISTRIBUTED SIGNAL RECOVERY BASED ON IN-NETWORK SUBSPACE PROJECTIONS
Paolo Di Lorenzo, Sergio Barbarossa, Stefania Sardellitti, Sapienza University of Rome, Italy

SPTM-P6.5: POTENTIAL GAMES FOR DISTRIBUTED PARAMETER ESTIMATION IN NETWORKS WITH AMBIGUOUS MEASUREMENTS
Dimitris Ampeliotis, Kostas Berberidis, University of Patras and C.T.I. Research Unit 2, Greece

SPTM-P6.6: A CASE OF DISTRIBUTED OPTIMIZATION IN ADVERSARIAL ENVIRONMENT
Nikhil Ravi, Anna Scaglione, Angelia Nedić, Arizona State University, United States

SPTM-P6.7: ECO-PANDA: A COMPUTATIONALLY ECONOMIC, GEOMETRICALLY CONVERGING DUAL OPTIMIZATION METHOD ON TIME-VARYING UNDIRECTED GRAPHS
Marie Maros, Joakim Jaldén, KTH Royal Institute of Technology, Sweden

SPTM-P6.8: DIFFUSION LEARNING IN NON-CONVEX ENVIRONMENTS
Stefan Vlaski, Ali H. Sayed, École Polytechnique Fédérale de Lausanne, Switzerland

SPTM-P6.9: EXPONENTIAL COLLAPSE OF SOCIAL BELIEFS OVER WEAKLY-CONNECTED HETEROGENEOUS NETWORKS
Vincenzo Matta, University of Salerno, Italy; Augusto Santos, Ali H. Sayed, École Polytechnique Fédérale de Lausanne, Switzerland

SPTM-P7: Performance Analysis and Bounds

SPTM-P7.1: PERFORMANCE ANALYSIS OF ONE-BIT GROUP-SPARSE SIGNAL RECONSTRUCTION
Niklas Koep, Arash Behboodi, Rudolf Mathar, Rheinisch-Westfälische Technische Hochschule Aachen, Germany

SPTM-P7.2: A TIGHTER BAYESIAN CRAMER-RAO BOUND
Lucien Bacharach, ISAE-Supaero, France; Carsten Fritsche, Linköping University, Sweden; Umut Orguner, Middle East Technical University, Turkey; Eric Chaumette, ISAE-Supaero, France

SPTM-P7.3: ON THE ACCURACY LIMIT OF TIME-DELAY ESTIMATION WITH A BAND-LIMITED SIGNAL
Priyanka Das, Safran Electronics & Defense, France; Jordi Vila-Valls, Eric Chaumette, Francois Vincent, Isae-Supaero, France; Loic Davain, Safran Electronics & Defense, France; Silvere Bonnabel, MINES ParisTech, France

SPTM-P7.4: PERFORMANCE BOUND FOR BLIND EXTRACTION OF NON-GAUSSIAN COMPLEX-VALUED VECTOR COMPONENT FROM GAUSSIAN BACKGROUND
Václav Kautský, Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague, Czech Republic; Zbyněk Koldovský, Faculty of Mechatronic and Interdisciplinary Studies, Technical University of Liberec, Czech Republic; Petr Tichavský, The Czech Academy of Sciences, Institute of Information Theory and Automation, Czech Republic

SPTM-P7.5: SAMPLE COMPLEXITY OF JOINT STRUCTURE LEARNING
Saurabh Sihag, Ali Tajer, Rensselaer Polyrtechnic Institute, United States

SPTM-P7.6: INFORMATION THEORETIC LOWER BOUND OF RESTRICTED ISOMETRY PROPERTY CONSTANT
Gen Li, Jingkai Yan, Yuantao Gu, Tsinghua University, China

SPTM-P7.7: BOBROVSKY–ZAKAI-TYPE BOUND FOR PERIODIC STOCHASTIC FILTERING
Eyal Nitzan, Tirza Routtenberg, Joseph Tabrikian, Ben-Gurion University of the Negev, Israel

SPTM-P7.8: MISSPECIFIED CRB ON PARAMETER ESTIMATION FOR A COUPLED MIXTURE OF POLYNOMIAL PHASE AND SINUSOIDAL FM SIGNALS
Pu Wang, Toshiaki Koike-Akino, Milutin Pajovic, Philip Orlik, Mitsubishi Electric Research Laboratories, United States; Wataru Tsujita, Mitsubishi Electric Corporation Advanced Technology R&D center, Japan; Fulvio Gini, Università di Pisa, Italy

SPTM-P7.9: ASYMPTOTICALLY OPTIMAL QUICKEST CHANGE DETECTION UNDER A NUISANCE CHANGE
Tze Siong Lau, Wee Peng Tay, Nanyang Technological University, Singapore

SPTM-P7.10: DESIGNING SAR IMAGES CHANGE-POINT ESTIMATION STRATEGIES USING AN MSE LOWER BOUND
Ammar Mian, CentraleSupelec SONDRA, France; Lucien Bacharach, L2S, France; Guillaume Ginolhac, LISTIC - Université Savoie Mont-Blanc, France; Alexandre Renaux, L2S, France; Mohammed Nabil El Korso, LEME - Université Paris Nanterre, France; Jean-Philippe Ovarlez, ONERA, France

SPTM-P7.11: ROBUST LINEAR DISCRIMINANT ANALYSIS USING TYLER'S ESTIMATOR: ASYMPTOTIC PERFORMANCE CHARACTERIZATION
Nicolas Auguin, Hong Kong University of Science and Technology, Hong Kong SAR of China; David Morales-Jimenez, Queen's University Belfast, United Kingdom; Matthew McKay, Hong Kong University of Science and Technology, Hong Kong SAR of China

SPTM-P7.12: EXACT SPARSE SIGNAL RECOVERY VIA ORTHOGONAL MATCHING PURSUIT WITH PRIOR INFORMATION
Jinming Wen, Jinan University, China; Wei Yu, University of Toronto, Canada

SPTM-P8: Detection Theory and Methods

SPTM-P8.1: DETECTION AND ESTIMATION OF DELAYS IN BIVARIATE SELF-SIMILARITY: BOOTSTRAPPED COMPLEX WAVELET COHERENCE
Gustavo Didier, Tulane University, United States; Herwig Wendt, CNRS, University of Toulouse, France; Patrice Abry, Univ Lyon, ENS de Lyon, Univ Claude Bernard, CNRS, France

SPTM-P8.2: OPTIMAL ROC CURVES FROM SCORE VARIABLE THRESHOLD TESTS
Catherine Medlock, Alan Oppenheim, Massachusetts Institute of Technology, United States

SPTM-P8.3: ROBUST DETECTION FOR CLUSTER ANALYSIS
Michael Fauß, Michael Muma, Freweyni K. Teklehaymanot, Abdelhak M. Zoubir, Technische Universität Darmstadt, Germany

SPTM-P8.4: AN IMPROVED LOW RANK DETECTOR IN THE HIGH DIMENSIONAL REGIME
Pascal Vallet, IMS / University of Bordeaux, France; Guillaume Ginolhac, LISTIC / University Savoie Mont-Blanc, France; Frédéric Pascal, L2S, CentraleSupelec, France; Philippe Forster, SATIE / ENS Paris-Saclay, France

SPTM-P8.5: MODEL CHANGE DETECTION WITH APPLICATION TO MACHINE LEARNING
Yuheng Bu, University of Illinois at Urbana-Champaign, United States; Jiaxun Lu, Tsinghua University, China; Venugopal V. Veeravalli, University of Illinois at Urbana-Champaign, United States

SPTM-P8.6: ACTIVE ANOMALY DETECTION WITH SWITCHING COST
Da Chen, Qiwei Huang, Hui Feng, Research Center of Smart Networks and Systems, School of Information Science and Engineering, Key Lab of EMW Information, Fudan University, China; Qing Zhao, Cornell University, United States; Bo Hu, Research Center of Smart Networks and Systems, School of Information Science and Engineering, Key Lab of EMW Information, Fudan University, United States

SPTM-P8.7: QUICKEST DETECTION OF DEVIATIONS FROM PERIODIC STATISTICAL BEHAVIOR
Taposh Banerjee, University of Texas at San Antonio, United States; Prudhvi Gurram, Army Research Lab and Booz Allen Hamilton, United States; Gene Whipps, Army Research Lab, United States

SPTM-P8.8: PERTURBED PROJECTED GRADIENT DESCENT CONVERGES TO APPROXIMATE SECOND-ORDER POINTS FOR BOUND CONSTRAINED NONCONVEX PROBLEMS
Songtao Lu, University of Minnesota Twin Cities, United States; Ziping Zhao, Hong Kong University of Science and Technology, Hong Kong SAR of China; Kejun Huang, University of Florida, United States; Mingyi Hong, University of Minnesota Twin Cities, United States

SPTM-P8.9: DILATED AND SHIFTED DISCRETE HERMITE FUNCTIONS WITH MINIMUM TIME-BANDWIDTH PRODUCT
Soo-Chang Pei, Yun-Chiu Lai, Kuo-Wei Chang, National Taiwan University, Taiwan

SPTM-P8.10: A MULTITAPER FREQUENCY-DOMAIN BOOTSTRAP METHOD
Seong-Eun Kim, Hanbat National University, Korea (South); Demba Ba, Harvard University, United States; Emery N. Brown, Massachusetts Institute of Technology, United States

SPTM-P8.11: DYNAMIC SELECTION OF CLASSIFIERS FOR FUSING IMBALANCED HETEROGENEOUS DATA
Sergey Sukhanov, Christian Debes, AGT International, Germany; Abdelhak M. Zoubir, Signal Processing Group, TU Darmstadt, Germany

SPTM-P8.12: THE GOOD, THE BAD, ALGORITHMIC NOISE TOLERANCE (ANT), THE UGLY
Noyan Sevuktekin, Andrew Singer, University of Illinois at Urbana-Champaign, United States

SPTM-P9: Signal Processing Over Graphs II

SPTM-P9.1: A DISCRETE SIGNAL PROCESSING FRAMEWORK FOR MEET/JOIN LATTICES WITH APPLICATIONS TO HYPERGRAPHS AND TREES
Markus Püschel, ETH Zurich, Switzerland

SPTM-P9.2: OPTIMIZED QUANTIZATION IN DISTRIBUTED GRAPH SIGNAL PROCESSING
Isabela Cunha Maia Nobre, Pascal Frossard, École Polytechnique Fédérale de Lausanne, Switzerland

SPTM-P9.3: LOW-RANK ESTIMATION BASED EVOLUTIONARY CLUSTERING FOR COMMUNITY DETECTION IN TEMPORAL NETWORKS
Esraa Al-sharoa, Michigan State University, United States; Mahmood Al-khassaweneh, University of Detroit Mercy, United States; Selin Aviyente, Michigan State University, United States

SPTM-P9.4: GRAPH SIGNAL REPRESENTATION WITH WASSERSTEIN BARYCENTERS
Effrosyni Simou, Pascal Frossard, École Polytechnique Fédérale de Lausanne, Switzerland

SPTM-P9.5: IMPROVING GRAPH TREND FILTERING WITH NON-CONVEX PENALTIES
Rohan Varma, Harlin Lee, Yuejie Chi, Carnegie Mellon University, United States; Jelena Kovačević, New York University, United States

SPTM-P9.6: RECONSTRUCTION-COGNIZANT GRAPH SAMPLING USING GERSHGORIN DISC ALIGNMENT
Yuanchao Bai, Peking University, China; Gene Cheung, York University, Canada; Fen Wang, Xidian University, China; Xianming Liu, Harbin Institute of Technology, China; Wen Gao, Peking University, China

SPTM-P9.7: LAPPED TRANSFORMS: A GRAPH-BASED EXTENSION
Keng-Shih Lu, Antonio Ortega, University of Southern California, United States

SPTM-P9.8: TENSOR ROBUST PCA ON GRAPHS
Nauman Shahid, Francesco Grassi, United Technologies Research Center, Ireland; Pierre Vandergheynst, École Polytechnique Fédérale de Lausanne, Switzerland

SPTM-P9.9: TIME-VARYING GRAPH LEARNING BASED ON SPARSENESS OF TEMPORAL VARIATION
Koki Yamada, Yuichi Tanaka, Tokyo University of Agriculture and Technology, Japan; Antonio Ortega, University of Southern California, United States

SPTM-P9.10: ROBUST LEAST MEAN SQUARES ESTIMATION OF GRAPH SIGNALS
Jari Miettinen, Sergiy A Vorobyov, Esa Ollila, Aalto University, School of Electrical Engineering, Finland

SPTM-P9.11: ADMM-BASED BIPARTITE GRAPH APPROXIMATION
Aimin Jiang, Jiaan Wan, Yibin Tang, Beilu Ni, Hohai University, China; Yanping Zhu, Changzhou University, China

SPTM-P9.12: TROPICAL MODELING OF WEIGHTED TRANSDUCER ALGORITHMS ON GRAPHS
Emmanouil Theodosis, Petros Maragos, National Technical University of Athens, Greece

SPTM-P10: Signal Processing Over Graphs III

SPTM-P10.1: KERNEL REGRESSION FOR GRAPH SIGNAL PREDICTION IN PRESENCE OF SPARSE NOISE
Arun Venkitaraman, KTH Royal Institute of Technology, Sweden; Pascal Frossard, École Polytechnique Fédérale de Lausanne, Switzerland; Saikat Chatterjee, KTH Royal Institute of Technology, Sweden

SPTM-P10.2: INTERPOLATION AND DENOISING OF GRAPH SIGNALS USING PLUG-AND-PLAY ADMM
Yoshinao Yazaki, Yuichi Tanaka, Tokyo University of Agriculture and Technology, Japan; Stanley Chan, Purdue University, United States

SPTM-P10.3: BLIND GRAPH TOPOLOGY CHANGE DETECTION
Elvin Isufi, Ashvant Mahabir, Geert Leus, TU Delft, Netherlands

SPTM-P10.4: UNSUPERVISED DIMENSION SELECTION USING A BLUE NOISE GRAPH SPECTRUM
Jayaraman J. Thiagarajan, Rushil Anirudh, Lawrence Livermore National Laboratory, United States; Rahul Sridhar, Walmart Labs, United States; Peer-Timo Bremer, Lawrence Livermore National Laboratory, United States

SPTM-P10.5: SHIFT-ENABLED GRAPHS: GRAPHS WHERE SHIFT-INVARIANT FILTERS ARE REPRESENTABLE AS POLYNOMIALS OF SHIFT OPERATIONS
Liyan Chen, Tongji University, China; Samuel Cheng, University of Oklahoma, United States; Vladimir Vladimir, Lina Stankovic, University of Strathclyde, United Kingdom

SPTM-P10.6: ACTIVE SAMPLING FOR APPROXIMATELY BANDLIMITED GRAPH SIGNALS
Sijie Lin, Xuan Xie, Hui Feng, Bo Hu, Fudan University, China

SPTM-P10.7: LEARNING SHEAF LAPLACIANS FROM SMOOTH SIGNALS
Jakob Hansen, Robert Ghrist, University of Pennsylvania, United States

SPTM-P10.8: ESTIMATION OF NETWORK PROCESSES VIA BLIND GRAPH MULTI-FILTER IDENTIFICATION
Yu Zhu, Rice University, United States; Fernando Iglesias, Antonio G. Marques, King Juan Carlos University, Spain; Santiago Segarra, Rice University, United States

SPTM-P10.9: FAST SAMPLING OF GRAPH SIGNALS WITH NOISE VIA NEUMANN SERIES CONVERSION
Fen Wang, Xidian University, China; Gene Cheung, York University, Canada; Yongchao Wang, Xidian University, China

SPTM-P10.10: SCALABLE MCMC IN DEGREE CORRECTED STOCHASTIC BLOCK MODEL
Soumyasundar Pal, Mark Coates, McGill University, Canada

SPTM-P11: Estimation Theory and Methods II

SPTM-P11.1: ASYMPTOTICALLY OPTIMAL RECOVERY OF GAUSSIAN SOURCES FROM NOISY STATIONARY MIXTURES: THE LEAST-NOISY MAXIMALLY-SEPARATING SOLUTION
Amir Weiss, Arie Yeredor, Tel-Aviv Univeristy, Israel

SPTM-P11.2: HETEROGENEOUS INFORMATION FUSION FOR MULTITARGET TRACKING USING THE SUM-PRODUCT ALGORITHM
Giovanni Soldi, Domenico Gaglione, NATO STO Centre for Maritime Research and Experimentation, Italy; Florian Meyer, Massachusetts Institute of Technology, United States; Franz Hlawatsch, TU Wien, Austria; Paolo Braca, NATO STO Centre for Maritime Research and Experimentation, Italy; Alfonso Farina, Professional Consultant, Italy; Moe Win, Massachusetts Institute of Technology, United States

SPTM-P11.4: ROBUST M-ESTIMATION BASED MATRIX COMPLETION
Michael Muma, Wen-Jun Zeng, Abdelhak M. Zoubir, Technische Universität Darmstadt, Germany

SPTM-P11.5: TENSOR COMPLETION VIA GENERALIZED TENSOR TUBAL RANK MINIMIZATION USING GENERAL UNFOLDING
Weize Sun, Shenzhen University, China; Yuan Chen, University of Science and Technology Beijing, China; Lei Huang, Hing Cheung So, Shenzhen University, China

SPTM-P11.6: TRACKING A CLUSTER OF SPACE DEBRIS IN LOW ORBIT BY FILTERING ON LIE GROUPS
Samy Labsir, Audrey Giremus, Guillaume Bourmaud, University of Bordeaux, IMS Laboratory, France; Brice Yver, Thomas Benoudiba--Campanini, CEA CESTA, France

SPTM-P11.7: INTRODUCING THE ORTHOGONAL PERIODIC SEQUENCES FOR THE IDENTIFICATION OF FUNCTIONAL LINK POLYNOMIAL FILTERS
Alberto Carini, University of Trieste, Italy; Simone Orcioni, Stefania Cecchi, Università Politecnica delle Marche, Italy

SPTM-P11.8: MINIMAX MAGNITUDE RESPONSE APPROXIMATION OF POLE-RADIUS CONSTRAINED IIR DIGITAL FILTERS
Xiaoping Lai, Jiuwen Cao, Hangzhou Dianzi University, China; Zhiping Lin, Nanyang Technological University, Singapore

SPTM-P11.9: MAXIMUM-ENTROPY SCATTERING MODELS FOR FINANCIAL TIME SERIES
Roberto Leonarduzzi, Gaspar Rochette, Ecole Normale Superieure, PSL, France; Jean-Phillipe Bouchaud, Capital Fund Management, France; Stéphane Mallat, Ecole Normale Superieure, PSL, College de France, France

SPTM-P11.10: ON NONPARAMETRIC IDENTIFICATION OF WIENER SYSTEMS WITH DETERMINISTIC INPUTS
Simone Urbano, Airbus / TeSA lab, France; Eric Chaumette, ISAE Supaero, France; Philippe Goupil, Airbus, France; Jean-Yves Tourneret, INP-ENSEEIHT/IRIT, France

SPTM-P11.11: RECEIVER DESIGN FOR DOPPLER POSITIONING WITH LEO SATELLITES
Joe Khalife, Zaher (Zak) Kassas, University of California, Irvine, United States

SPTM-P11.12: BLIND SUPER-RESOLUTION IN TWO-DIMENSIONAL PARAMETER SPACE
Mohamed A. Suliman, Wei Dai, Imperial College London, United Kingdom

SPTM-P12: Sparsity-Aware Signal Processing II

SPTM-P12.1: ATOM SELECTION IN CONTINUOUS DICTIONARIES: RECONCILING POLAR AND SVD APPROXIMATIONS
Frederic Champagnat, ONERA The French Aerospace Lab, France; Cédric Herzet, INRIA Rennes-Bretagne Atlantique, France

SPTM-P12.2: SEPARABLE SIMPLEX-STRUCTURED MATRIX FACTORIZATION: ROBUSTNESS OF COMBINATORIAL APPROACHES
Nicolas Gillis, University of Mons, Belgium

SPTM-P12.3: SOLVING QUADRATIC EQUATIONS VIA AMPLITUDE-BASED NONCONVEX OPTIMIZATION
Vincent Monardo, Yuanxin Li, Yuejie Chi, Carnegie Mellon University, United States

SPTM-P12.4: NON-NEGATIVE MATRIX FACTORIZATION USING BREGMAN MONOTONE OPERATOR SPLITTING
Kenta Niwa, Noboru Harada, NTT Corporation, Japan

SPTM-P12.5: COUPLED TENSOR LOW-RANK MULTILINEAR APPROXIMATION FOR HYPERSPECTRAL SUPER-RESOLUTION
Clémence Prévost, Université de Lorraine and CNRS, France; Konstantin Usevich, CNRS and Université de Lorraine, France; Pierre Comon, CNRS and University Grenoble Alpes, France; David Brie, Université de Lorraine and CNRS, France

SPTM-P12.6: ITERATIVE MIRROR DECOMPOSITION FOR SIGNAL REPRESENTATION
Fabrizio Guerrini, Alessandro Gnutti, Riccardo Leonardi, University of Brescia, Italy

SPTM-P12.7: OMP AND CONTINUOUS DICTIONARIES: IS K-STEP RECOVERY POSSIBLE?
Clément Elvira, Rémi Gribonval, Inria, Univ Rennes, CNRS, IRISA, France; Charles Soussen, L2S, Univ. Paris-Saclay, France; Cédric Herzet, Inria, Univ Rennes, CNRS, IRISA, France

SPTM-P12.8: AN IMPROVED METHOD FOR PARAMETRIC SPECTRAL ESTIMATION
Jacob Klintberg, Tomas McKelvey, Chalmers University of Technology, Sweden

SPTM-P12.9: SPACE ALTERNATING VARIATIONAL ESTIMATION AND KRONECKER STRUCTURED DICTIONARY LEARNING
Christo Kurisummoottil Thomas, Dirk Slock, Eurecom, France

SPTM-P12.10: STOCHASTIC ML SIMPLEX-STRUCTURED MATRIX FACTORIZATION UNDER THE DIRICHLET MIXTURE MODEL
Ruiyuan Wu, The Chineses University of Hong Kong, Hong Kong SAR of China; Qiang Li, University of Electronic Science and Technology of China, China; Wing-Kin Ma, The Chinese University of Hong Kong, Hong Kong SAR of China

SPTM-P12.11: SPARSE RECOVERY AND NON-STATIONARY BLIND DEMODULATION
Youye Xie, Michael Wakin, Gongguo Tang, Colorado School of Mines, United States

SPTM-P12.12: ADAPTIVE SENSING MATRIX DESIGN FOR GREEDY ALGORITHMS IN MMV COMPRESSIVE SENSING
Liang Zhang, Lei Huang, Bo Zhao, Shenzhen University, China; Bo Li, Nuance Communications, Canada

SPTM-P13: Optimization Tools

SPTM-P13.1: CLUSTERING BY ORTHOGONAL NON-NEGATIVE MATRIX FACTORIZATION: A SEQUENTIAL NON-CONVEX PENALTY APPROACH
Shuai Wang, Tsung-Hui Chang, The Chinese University of Hong Kong, Shenzhen, China; Ying Cui, Jong-Shi Pang, University of Southern California, United States

SPTM-P13.2: PREDICTION-CORRECTION FOR NONSMOOTH TIME-VARYING OPTIMIZATION VIA FORWARD-BACKWARD ENVELOPES
Nicola Bastianello, University of Padova, Italy; Andrea Simonetto, IBM Research Ireland, Ireland; Ruggero Carli, University of Padova, Italy

SPTM-P13.3: OPTIMAL TRILATERATION IS AN EIGENVALUE PROBLEM
Martin Larsson, Lund University, Sweden; Viktor Larsson, ETH Zurich, Switzerland; Kalle Åström, Magnus Oskarsson, Lund University, Sweden

SPTM-P13.4: FAST OPTIMIZATION OF BOOLEAN QUADRATIC FUNCTIONS VIA ITERATIVE SUBMODULAR APPROXIMATION AND MAX-FLOW
Aritra Konar, Nicholas D. Sidiropoulos, University of Virginia, United States

SPTM-P13.5: SOLVING COMPLEX QUADRATIC EQUATIONS WITH FULL-RANK RANDOM GAUSSIAN MATRICES
Shuai Huang, Sidharth Gupta, Ivan Dokmanić, University of Illinois at Urbana-Champaign, United States

SPTM-P13.6: SPECTRALLY CONSTRAINED UNIMODULAR SEQUENCE DESIGN WITHOUT SPECTRAL LEVEL MASK
Yang Jing, Junli Liang, Deyun Zhou, Northwestern Polytechnical University, China; Hing Cheung So, City University of Hong Kong, China

SPTM-P13.7: HOW TO GLOBALLY SOLVE NON-CONVEX OPTIMIZATION PROBLEMS INVOLVING AN APPROXIMATE L0 PENALIZATION
Arthur Marmin, CentraleSupélec, INRIA, Université Paris-Saclay, France; Marc Castella, Télécom SudParis, CNRS, Université Paris-Saclay, France; Jean-Christophe Pesquet, CentraleSupélec, INRIA, Université Paris-Saclay, France

SPTM-P13.8: LAYER-WISE DEEP NEURAL NETWORK PRUNING VIA ITERATIVELY REWEIGHTED OPTIMIZATION
Tao Jiang, Xiangyu Yang, Yuanming Shi, Hao Wang, ShanghaiTech University, China

SPTM-P13.9: ONE-DIMENSIONAL EDGE-PRESERVING SPLINE SMOOTHING FOR ESTIMATION OF PIECEWISE SMOOTH FUNCTIONS
Daichi Kitahara, Ritsumeikan University, Japan; Laurent Condat, Université Grenoble Alpes, France; Akira Hirabayashi, Ritsumeikan University, Japan

SPTM-P13.10: LEARNING SHALLOW NEURAL NETWORKS VIA PROVABLE GRADIENT DESCENT WITH RANDOM INITIALIZATION
Shuhao Xia, Yuanming Shi, ShanghaiTech University, China

SLP-L1: End-to-end Speech Recognition I: General Topics

SLP-L1.1: BYTES ARE ALL YOU NEED: END-TO-END MULTILINGUAL SPEECH RECOGNITION AND SYNTHESIS WITH BYTES
Bo Li, Yu Zhang, Tara N. Sainath, Yonghui Wu, William Chan, Google, Inc., United States

SLP-L1.2: JOINT ENDPOINTING AND DECODING WITH END-TO-END MODELS
Shuo-yiin Chang, Rohit Prabhavalkar, Yanzhang He, Tara N. Sainath, Gabor Simko, Google, Inc., United States

SLP-L1.3: COMPONENT FUSION: LEARNING REPLACEABLE LANGUAGE MODEL COMPONENT FOR END-TO-END SPEECH RECOGNITION SYSTEM
Changhao Shan, Northwestern Polytechnical University, China; Chao Weng, Guangsen Wang, Dan Su, Min Luo, Dong Yu, Tencent, China; Lei Xie, Northwestern Polytechnical University, China

SLP-L1.4: PARAMETER UNCERTAINTY FOR END-TO-END SPEECH RECOGNITION
Stefan Braun, Shih-Chii Liu, Institute of Neuroinformatics, University of Zurich and ETH Zurich, Switzerland

SLP-L1.5: ACOUSTICALLY GROUNDED WORD EMBEDDINGS FOR IMPROVED ACOUSTICS-TO-WORD SPEECH RECOGNITION
Shane Settle, TTI-Chicago, United States; Kartik Audhkhasi, IBM, United States; Karen Livescu, TTI-Chicago, United States; Michael Picheny, IBM, United States

SLP-L1.6: PROMISING ACCURATE PREFIX BOOSTING FOR SEQUENCE-TO-SEQUENCE ASR
Murali Karthick Baskar, Lukáš Burget, Brno University of Technology, Czech Republic; Shinji Watanabe, Johns Hopkins University, United States; Martin Karafiat, Brno University of Technology, Czech Republic; Takaaki Hori, MERL, United States; Jan "Honza" Černocký, Brno University of Technology, Czech Republic

SLP-L2: End-to-end Speech Recognition II: New Models

SLP-L2.1: A SPELLING CORRECTION MODEL FOR END-TO-END SPEECH RECOGNITION
Jinxi Guo, University of California, Los Angeles, United States; Tara N. Sainath, Ron J. Weiss, Google, Inc., United States

SLP-L2.2: SELF-ATTENTION ALIGNER: A LATENCY-CONTROL END-TO-END MODEL FOR ASR USING SELF-ATTENTION NETWORK AND CHUNK-HOPPING
Linhao Dong, Feng Wang, Bo Xu, Institute of Automation, Chinese Academy of Sciences, China

SLP-L2.3: LARGE CONTEXT END-TO-END AUTOMATIC SPEECH RECOGNITION VIA EXTENSION OF HIERARCHICAL RECURRENT ENCODER-DECODER MODELS
Ryo Masumura, Tomohiro Tanaka, Takafumi Moriya, Yusuke Shinohara, Takanobu Oba, Yushi Aono, NTT Corporation, Japan

SLP-L2.4: TRIGGERED ATTENTION FOR END-TO-END SPEECH RECOGNITION
Niko Moritz, Takaaki Hori, Jonathan Le Roux, Mitsubishi Electric Research Laboratories, United States

SLP-L2.5: ON USING 2D SEQUENCE-TO-SEQUENCE MODELS FOR SPEECH RECOGNITION
Parnia Bahar, Albert Zeyer, Ralf Schlüter, Hermann Ney, RWTH Aachen University, Germany

SLP-L2.6: CRF-BASED SINGLE-STAGE ACOUSTIC MODELING WITH CTC TOPOLOGY
Hongyu Xiang, Zhijian Ou, Tsinghua University, China

SLP-L3: Novel Architectures and Training Strategies for ASR

SLP-L3.1: UNIVERSAL ACOUSTIC MODELING USING NEURAL MIXTURE MODELS
Amit Das, University of Illinois, United States; Jinyu Li, Changliang Liu, Yifan Gong, Microsoft, United States

SLP-L3.2: TIMESCALENET : A MULTIRESOLUTION APPROACH FOR RAW AUDIO RECOGNITION
Eric Bavu, Aro Ramamonjy, Hadrien Pujol, Alexandre Garcia, Conservatoire National des Arts et Métiers, France

SLP-L3.3: ENCRYPTED SPEECH RECOGNITION USING DEEP POLYNOMIAL NETWORKS
Shixiong Zhang, Tencent AI Lab, United States; Yifan Gong, Microsoft Corporation, United States; Dong Yu, Tencent AI Lab, United States

SLP-L3.4: LEARNING DISCRIMINATIVE FEATURES IN SEQUENCE TRAINING WITHOUT REQUIRING FRAMEWISE LABELLED DATA
Jun Wang, Dan Su, Jie Chen, Tencent, China; Shulin Feng, Peking University, China; Dongpeng Ma, Na Li, Dong Yu, Tencent, China

SLP-L3.5: IMPROVING CTC USING STIMULATED LEARNING FOR SEQUENCE MODELING
Jahn Heymann, Paderborn University, Germany; Khe Chai Sim, Bo Li, Google AI, United States

SLP-L3.6: DISTRIBUTED DEEP LEARNING STRATEGIES FOR AUTOMATIC SPEECH RECOGNITION
Wei Zhang, Xiaodong Cui, Ulrich Finkler, Brian Kingsbury, George Saon, David Kung, Michael Picheny, IBM, United States

SLP-L4: Feature learning and adapation for ASR

SLP-L4.1: BLHUC: BAYESIAN LEARNING OF HIDDEN UNIT CONTRIBUTIONS FOR DEEP NEURAL NETWORK SPEAKER ADAPTATION
Xurong Xie, Xunying Liu, Tan Lee, Shoukang Hu, Chinese University of Hong Kong, Hong Kong SAR of China; Lan Wang, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China

SLP-L4.2: A HIGHLY ADAPTIVE ACOUSTIC MODEL FOR ACCURATE MULTI-DIALECT SPEECH RECOGNITION
Sanghyun Yoo, Inchul Song, Samsung Advanced Institute of Technology, Korea (South); Yoshua Bengio, Université de Montréal, Canada

SLP-L4.3: ADVERSARIAL SPEAKER ADAPTATION
Zhong Meng, Jinyu Li, Yifan Gong, Microsoft Corporation, United States

SLP-L4.4: IMPROVING ASR ROBUSTNESS TO PERTURBED SPEECH USING CYCLE-CONSISTENT GENERATIVE ADVERSARIAL NETWORKS
Sri Harsha Dumpala, Imran Sheikh, Rupayan Chakraborty, Sunil Kumar Kopparapu, TCS Research and Innovation, India

SLP-L4.5: DEEP VARIATIONAL FILTER LEARNING MODELS FOR SPEECH RECOGNITION
Purvi Agrawal, Sriram Ganapathy, Indian Institute of Science, India

SLP-L4.6: IMPROVING CHILDREN SPEECH RECOGNITION THROUGH FEATURE LEARNING FROM RAW SPEECH SIGNAL
S. Pavankumar Dubagunta, Selen Hande Kabil, Mathew Magimai.-Doss, Idiap Research Institute, Switzerland

SLP-L5: Speech Enhancement I

SLP-L5.1: DESIGN OF OPTIMAL LINEAR DIFFERENTIAL MICROPHONE ARRAYS BASED ON ARRAY GEOMETRY OPTIMIZATION
Jilu Jin, Gongping Huang, Jingdong Chen, Northwestern Polytechnical University, China; Jacob Benesty, University of Quebec, Canada

SLP-L5.2: SUPERVISED SPEECH ENHANCEMENT WITH REAL SPECTRUM APPROXIMATION
Yun Liu, Hui Zhang, Xueliang Zhang, Inner Mongolia University, China; Linju Yang, Beijing Unisound Information Technology Co. Ltd., China

SLP-L5.3: REAL-TIME SPEECH ENHANCEMENT USING AN EFFICIENT CONVOLUTIONAL RECURRENT NETWORK FOR DUAL-MICROPHONE MOBILE PHONES IN CLOSE-TALK SCENARIOS
Ke Tan, The Ohio State University, United States; Xueliang Zhang, Inner Mongolia University, China; DeLiang Wang, The Ohio State University, United States

SLP-L5.4: A FULLY CONVOLUTIONAL NEURAL NETWORK FOR COMPLEX SPECTROGRAM PROCESSING IN SPEECH ENHANCEMENT
Zhiheng Ouyang, Hongjiang Yu, Wei-Ping Zhu, Concordia University, Canada; Benoit Champagne, McGill University, Canada

SLP-L5.5: AN UNSUPERVISED LEARNING APPROACH TO NEURAL-NET-SUPPORTED WPE DEREVERBERATION
Petko Petkov, Toshiba Research Europe Ltd., United Kingdom; Vasileios Tsiaras, University of Crete, Greece; Rama Doddipatla, Toshiba Research Europe Ltd., United Kingdom; Yannis Stylianou, University of Crete, Greece

SLP-L5.6: A DEEP LEARNING BASED BINAURAL SPEECH ENHANCEMENT APPROACH WITH SPATIAL CUES PRESERVATION
Xingwei Sun, Risheng Xia, Junfeng Li, Yonghong Yan, Key Laboratory of Speech Acoustics and Content Understanding, Institute of Acoustics, Chinese Academy of Sciences, China

SLP-L6: Systems for Speaker Recognition and Identification

SLP-L6.1: THE LEAP SPEAKER RECOGNITION SYSTEM FOR NIST SRE 2018 CHALLENGE
Shreyas Ramoji, Anand Mohan, Indian Institute of Science, India; Bhargavram Mysore, North Carolina State University, United States; Anmol Bhatia, Birla Institute of Technology and Science, India; Prachi Singh, Harsha Vardhan, Sriram Ganapathy, Indian Institute of Science, India

SLP-L6.2: UTD-CRSS SYSTEMS FOR 2018 NIST SPEAKER RECOGNITION EVALUATION
Chunlei Zhang, Fahimeh Bahmaninezhad, Shivesh Ranjan, Harishchandra Dubey, Wei Xia, John H. L. Hansen, The University of Texas at Dallas, United States

SLP-L6.3: WHO DO I SOUND LIKE? SHOWCASING SPEAKER RECOGNITION TECHNOLOGY BY YOUTUBE VOICE SEARCH
Ville Vestman, Bilal Soomro, Anssi Kanervisto, Ville Hautamäki, Tomi Kinnunen, University of Eastern Finland, Finland

SLP-L6.4: A BAYESIAN APPROACH TO INTER-TASK FUSION FOR SPEAKER RECOGNITION
Srikanth Madikeri, Petr Motlicek, Subhadeep Dey, Idiap Research Institute, Switzerland

SLP-L6.5: UTTERANCE-LEVEL AGGREGATION FOR SPEAKER RECOGNITION IN THE WILD
Weidi Xie, Arsha Nagrani, Joon Son Chung, Andrew Zisserman, University of Oxford, United Kingdom

SLP-L6.6: SPEAKER RECOGNITION FOR MULTI-SPEAKER CONVERSATIONS USING X-VECTORS
David Snyder, Daniel Garcia-Romero, Gregory Sell, Alan McCree, Daniel Povey, Sanjeev Khudanpur, Johns Hopkins University, United States

SLP-L7: Diarization and Speaker Characterization

SLP-L7.1: SPEAKER DIARISATION USING 2D SELF-ATTENTIVE COMBINATION OF EMBEDDINGS
Guangzhi Sun, Chao Zhang, Philip Woodland, University of Cambridge, United Kingdom

SLP-L7.2: DESIGNING AN EFFECTIVE METRIC LEARNING PIPELINE FOR SPEAKER DIARIZATION
Vivek Sivaraman Narayanaswamy, Arizona State University, United States; Jayaraman J. Thiagarajan, Lawrence Livermore National Laboratory, United States; Huan Song, Bosch Research North America, United States; Andreas Spanias, Arizona State University, United States

SLP-L7.3: INVESTIGATING DOMAIN SENSITIVITY OF DNN EMBEDDINGS FOR SPEAKER RECOGNITION SYSTEMS
Md Hafizur Rahman, Ivan Himawan, Sridha Sridharan, Clinton Fookes, Queensland University of Technology, Australia

SLP-L7.4: CROSS-LINGUAL TEXT-INDEPENDENT SPEAKER VERIFICATION USING UNSUPERVISED ADVERSARIAL DISCRIMINATIVE DOMAIN ADAPTATION
Wei Xia, University of Texas at Dallas, United States; Jing Huang, JD AI Research, United States; John H. L. Hansen, University of Texas at Dallas, United States

SLP-L7.5: THE CORAL+ ALGORITHM FOR UNSUPERVISED DOMAIN ADAPTATION OF PLDA
Kong Aik Lee, Qiongqiong Wang, Takafumi Koshinaka, NEC Corporation, Japan

SLP-L7.6: SPEAKER CHANGE DETECTION USING FUNDAMENTAL FREQUENCY WITH APPLICATION TO MULTI-TALKER SEGMENTATION
Aidan Hogg, Christine Evers, Patrick A. Naylor, Imperial College London, United Kingdom

SLP-L8: Speech Synthesis I

SLP-L8.1: LPCNET: IMPROVING NEURAL SPEECH SYNTHESIS THROUGH LINEAR PREDICTION
Jean-Marc Valin, Mozilla, Canada; Jan Skoglund, Google, Inc., United States

SLP-L8.2: PHONEMIC-LEVEL DURATION CONTROL USING ATTENTION ALIGNMENT FOR NATURAL SPEECH SYNTHESIS
Jungbae Park, Humelo Inc. / Korea Advanced Institute of Science and Technology (KAIST), Korea (South); Kijong Han, Korea Advanced Institute of Science and Technology, Korea (South); Yuneui Jeong, Humelo Inc., Korea (South); Sang Wan Lee, Humelo Inc. / Korea Advanced Institute of Science and Technology (KAIST) / KI Institute for Artificial Intelligence, Korea (South)

SLP-L8.3: DISENTANGLING CORRELATED SPEAKER AND NOISE FOR SPEECH SYNTHESIS VIA DATA AUGMENTATION AND ADVERSARIAL FACTORIZATION
Wei-Ning Hsu, Massachusetts Institute of Technology, United States; Yu Zhang, Ron J. Weiss, Google, Inc., United States; Yu-An Chung, Massachusetts Institute of Technology, United States; Yuxuan Wang, Yonghui Wu, Google, Inc., United States; James Glass, Massachusetts Institute of Technology, United States

SLP-L8.4: REPRESENTATION MIXING FOR TTS SYNTHESIS
Kyle Kastner, Joao Santos, Yoshua Bengio, Aaron Courville, University of Montreal, Canada

SLP-L8.5: ROBUST AND FINE-GRAINED PROSODY CONTROL OF END-TO-END SPEECH SYNTHESIS
Younggun Lee, Taesu Kim, Neosapience, Inc., Korea (South)

SLP-L8.6: NEURAL SOURCE-FILTER-BASED WAVEFORM MODEL FOR STATISTICAL PARAMETRIC SPEECH SYNTHESIS
Xin Wang, Shinji Takaki, Junichi Yamagishi, National Institute of Informatics, Japan

SLP-L9: Using Multiple Perspectives in Emotion and Sentiment Analysis

SLP-L9.1: IMPLICIT FUSION BY JOINT AUDIOVISUAL TRAINING FOR EMOTION RECOGNITION IN MONO MODALITY
Jing Han, University of Augsburg, Germany; Zixing Zhang, Imperial College London, United Kingdom; Zhao Ren, Björn Schuller, University of Augsburg, Germany

SLP-L9.2: SPEECH EMOTION RECOGNITION USING DEEP NEURAL NETWORK CONSIDERING VERBAL AND NONVERBAL SPEECH SOUNDS
Kun-Yi Huang, Chung-Hsien Wu, Qian-Bei Hong, Ming-Hsiang Su, Yi-Hsuan Chen, National Cheng Kung University, Taiwan

SLP-L9.3: EXPLOITING ACOUSTIC AND LEXICAL PROPERTIES OF PHONEMES TO RECOGNIZE VALENCE FROM SPEECH
Biqiao Zhang, University of Michigan - Ann Arbor, United States; Soheil Khorram, University of Texas at Dallas, United States; Emily Mower Provost, University of Michigan - Ann Arbor, United States

SLP-L9.4: ACOUSTIC AND LEXICAL SENTIMENT ANALYSIS FOR CUSTOMER SERVICE CALLS
Bryan Li, Columbia University, United States; Dimitrios Dimitriadis, Andreas Stolcke, Microsoft, United States

SLP-L9.5: THE GENERALIZATION EFFECT FOR MULTILINGUAL SPEECH EMOTION RECOGNITION ACROSS HETEROGENEOUS LANGUAGES
Shi-wook Lee, National Institute of Advanced Industrial Science and Technology (AIST), Japan

SLP-L9.6: EVERY RATING MATTERS: JOINT LEARNING OF SUBJECTIVE LABELS AND INDIVIDUAL ANNOTATORS FOR SPEECH EMOTION CLASSIFICATION
Huang-Cheng Chou, Chi-Chun Lee, National Tsing Hua University, Taiwan

SLP-L10: Analysis of Voice, Speech and Language Disorders I

SLP-L10.1: LEARNING TO DETECT DYSARTHRIA FROM RAW SPEECH
Juliette Millet, Ecole Normale Supérieure, France; Neil Zeghidour, Facebook AI Research / Ecole Normale Supérieure, France

SLP-L10.2: PHONETIC ANALYSIS OF DYSARTHRIC SPEECH TEMPO AND APPLICATIONS TO ROBUST PERSONALISED DYSARTHRIC SPEECH RECOGNITION
Feifei Xiong, Jon Barker, Heidi Christensen, University of Sheffield, United Kingdom

SLP-L10.3: AUTOMATIC DIAGNOSIS OF ALZHEIMER'S DISEASE USING NEURAL NETWORK LANGUAGE MODELS
Julian Fritsch, Idiap Research Institute, Switzerland; Sebastian Wankerl, Elmar Nöth, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

SLP-L10.4: TOWARDS DISEASE-SPECIFIC SPEECH MARKERS FOR DIFFERENTIAL DIAGNOSIS IN PARKINSONISM
Biswajit Das, Khalid Daoudi, INRIA Bordeaux Sud-Ouest, France; Jiri Klempir, Charles University, Prague, Czech Republic, Czech Republic; Jan Rusz, Czech Technical University, Czech Republic

SLP-L10.5: SPEECH AS A BIOMARKER FOR OBSTRUCTIVE SLEEP APNEA DETECTION
M. Catarina Botelho, Isabel Trancoso, Alberto Abad, INESC-ID/Instituto Superior Técnico, University of Lisbon, Portugal; Teresa Paiva, CENC Sleep Medicine Center, Portugal

SLP-L10.6: SPEECH LANDMARK BIGRAMS FOR DEPRESSION DETECTION FROM NATURALISTIC SMARTPHONE SPEECH
Zhaocheng Huang, Julien Epps, The University of New South Wales, Australia; Dale Joachim, Sonde Health, United States

SLP-L11: Models of Speech Production

SLP-L11.1: AN IMPROVED AIR TISSUE BOUNDARY SEGMENTATION TECHNIQUE FOR REAL TIME MAGNETIC RESONANCE IMAGING VIDEO USING SEGNET
Valliappan Ca, Indian Institute of Science, India; Avinash Kumar, National Institute of Technology, India; Renuka Mannem, Karthik Girija Ramesan, Prasanta Kumar Ghosh, Indian Institute of Science, India

SLP-L11.2: PREDICTING TONGUE MOTION IN UNLABELED ULTRASOUND VIDEOS USING CONVOLUTIONAL LSTM NEURAL NETWORKS
Chaojie Zhao, Tsinghua University, China; Peng Zhang, University of Science and Technology of China, China; Jian Zhu, University of Michgian, Ann Arbor, MI, United States, United States; Chengrui Wu, Columbia University in the City of New York, United States; Huaimin Wang, Kele Xu, National University of Defense Technology, China

SLP-L11.3: REPRESENTATION LEARNING USING CONVOLUTION NEURAL NETWORK FOR ACOUSTIC-TO-ARTICULATORY INVERSION
Aravind Illa, Prasanta Kumar Ghosh, Indian Institute of Science, India

SLP-L11.4: A STUDY ON ROBUSTNESS OF ARTICULATORY FEATURES FOR AUTOMATIC SPEECH RECOGNITION OF NEUTRAL AND WHISPERED SPEECH
Gokul Srinivasan, Birla Institute of Technology and Science, India; Aravind Illa, Prasanta Kumar Ghosh, Indian Institute of Science, India

SLP-L11.5: AIR-TISSUE BOUNDARY SEGMENTATION IN REAL TIME MAGNETIC RESONANCE IMAGING VIDEO USING A CONVOLUTIONAL ENCODER-DECODER NETWORK
Renuka Mannem, Prasanta Kumar Ghosh, Indian Institute of Science, Bangalore, India

SLP-L11.6: GLOTTAL INSTANTS EXTRACTION FROM SPEECH SIGNAL USING GENERATIVE ADVERSARIAL NETWORK
Deepak K. T., Indian Institute of Information Technology Dharwad, India; Pavitra Kulkarni, Uma Mudenagudi, KLE Technological University, India; Prasanna S. R. M., Indian Institute of Technology Dharwad, India

SLP-P1: Multi-lingual Identification and Processing

SLP-P1.1: DOMAIN ATTENTIVE FUSION FOR END-TO-END DIALECT IDENTIFICATION WITH UNKNOWN TARGET DOMAIN
Suwon Shon, Massachusetts Institute of Technology, United States; Ahmed Ali, Qatar Computing Research Institute, Qatar; James Glass, Massachusetts Institute of Technology, United States

SLP-P1.2: CROSS-LINGUAL TRANSFER LEARNING FOR SPOKEN LANGUAGE UNDERSTANDING
Quynh Ngoc Thi Do, Judith Gaspers, Amazon, Germany

SLP-P1.3: ADVERSARIAL MULTI-TASK DEEP FEATURES AND UNSUPERVISED BACK-END ADAPTATION FOR LANGUAGE RECOGNITION
Zhiyuan Peng, Siyuan Feng, Tan Lee, The Chinese University of Hong Kong, China

SLP-P1.4: END-TO-END LANGUAGE RECOGNITION USING ATTENTION BASED HIERARCHICAL GATED RECURRENT UNIT MODELS
Bharat Padi, minds.ai, India; Anand Mohan, Sriram Ganapathy, Indian Institute of Science, India

SLP-P1.5: CMU WILDERNESS MULTILINGUAL SPEECH DATASET
Alan W Black, Carnegie Mellon University, United States

SLP-P1.6: TUPLEMAX LOSS FOR LANGUAGE IDENTIFICATION
Li Wan, Prashant Sridhar, Yang Yu, Quan Wang, Ignacio Lopez Moreno, Google, Inc., United States

SLP-P1.7: INTERACTIVE LEARNING OF TEACHER-STUDENT MODEL FOR SHORT UTTERANCE SPOKEN LANGUAGE IDENTIFICATION
Peng Shen, Xugang Lu, Sheng Li, Hisashi Kawai, NICT, Japan

SLP-P1.8: SEMI-SUPERVISED LEARNING WITH GENERATIVE ADVERSARIAL NETWORKS FOR ARABIC DIALECT IDENTIFICATION
Chunlei Zhang, Qian Zhang, John H. L. Hansen, The University of Texas at Dallas, United States

SLP-P1.9: UTTERANCE-LEVEL END-TO-END LANGUAGE IDENTIFICATION USING ATTENTION-BASED CNN-BLSTM
Weicheng Cai, Sun Yat-Sen University, China; Danwei Cai, Duke Kunshan University, China; Shen Huang, Tencent Research, China; Ming Li, Duke Kunshan University, China

SLP-P1.10: WHEN CTC TRAINING MEETS ACOUSTIC LANDMARKS
Di He, Xuesong Yang, University of Illinois at Urbana-Champaign, United States; Boon Pang Lim, Novumind Inc, United States; Yi Liang, Mark Hasegawa-Johnson, Deming Chen, University of Illinois at Urbana-Champaign, United States

SLP-P2: Speaker Verification and Identification I

SLP-P2.1: ANALYSIS AND MITIGATION OF VOCAL EFFORT VARIATIONS IN SPEAKER RECOGNITION
Mahesh Kumar Nandwana, Mitchell McLaren, SRI International, United States; Luciana Ferrer, University of Buenos Aires, Argentina; Diego Castan, Aaron Lawson, SRI International, United States

SLP-P2.2: SPEAKER VERIFICATION USING END-TO-END ADVERSARIAL LANGUAGE ADAPTATION
Johan Rohdin, Brno University of Technology, Czech Republic; Themos Stafylakis, Omilia - Conversational Intelligence, Czech Republic; Anna Silnova, Hossein Zeinali, Lukáš Burget, Oldřich Plchot, Brno University of Technology, Czech Republic

SLP-P2.3: AUDITORY INSPIRED SPATIAL DIFFERENTIATION FOR REPLAY SPOOFING ATTACK DETECTION
Buddhi Wickramasinghe, Eliathamby Ambikairajah, Julien Epps, Vidhyasaharan Sethu, University of New South Wales, Australia; Haizhou Li, NUS, Singapore

SLP-P2.4: A DENOISING AUTOENCODER FOR SPEAKER RECOGNITION. RESULTS ON THE MCE 2018 CHALLENGE
Roberto Font, Biometric Vox S.L., Spain

SLP-P2.5: KNOWLEDGE DISTILLATION FOR SMALL FOOT-PRINT DEEP SPEAKER EMBEDDING
Shuai Wang, Yexin Yang, Tianzhe Wang, Yanmin Qian, Kai Yu, Shanghai Jiao Tong University, China

SLP-P2.6: MULTI-OBJECTIVE OPTIMIZATION TRAINING OF PLDA FOR SPEAKER VERIFICATION
Liang He, Xianhong Chen, Can Xu, Jia Liu, Tsinghua University, China

SLP-P2.7: DISCRIMINATIVELY RE-TRAINED I-VECTOR EXTRACTOR FOR SPEAKER RECOGNITION
Ondřej Novotný, Oldřich Plchot, Ondřej Glembek, Lukáš Burget, Pavel Matějka, Brno University of Technology, Czech Republic

SLP-P2.8: GAUSSIAN-CONSTRAINED TRAINING FOR SPEAKER VERIFICATION
Lantian Li, Zhiyuan Tang, Ying Shi, Dong Wang, Tsinghua University, China

SLP-P2.9: ADAPTING END-TO-END NEURAL SPEAKER VERIFICATION TO NEW LANGUAGES AND RECORDING CONDITIONS WITH ADVERSARIAL TRAINING
Gautam Bhattacharya, McGill University, Canada; Jahangir Alam, Patrick Kenny, Computer Research Institute of Montreal, Canada

SLP-P2.10: ENSEMBLE ADDITIVE MARGIN SOFTMAX FOR SPEAKER VERIFICATION
Ya-Qi Yu, Lei Fan, Wu-Jun Li, Nanjing University, China

SLP-P3: Multi-lingual Speech Recognition

SLP-P3.1: LEARNING FROM THE BEST: A TEACHER-STUDENT MULTILINGUAL FRAMEWORK FOR LOW-RESOURCE LANGUAGES
Deblin Bagchi, The Ohio State University, United States; William Hartmann, Raytheon BBN Technologies, United States

SLP-P3.2: INVESTIGATING END-TO-END SPEECH RECOGNITION FOR MANDARIN-ENGLISH CODE-SWITCHING
Changhao Shan, Northwestern Polytechnical University, China; Chao Weng, Guangsen Wang, Dan Su, Min Luo, Dong Yu, Tencent, China; Lei Xie, Northwestern Polytechnical University, China

SLP-P3.3: AN INVESTIGATION OF MULTILINGUAL ASR USING END-TO-END LF-MMI
Sibo Tong, Philip Garner, Hervé Bourlard, Idiap Research Institute & École Polytechnique Fédérale de Lausanne, Switzerland

SLP-P3.4: EXPLORING RETRAINING-FREE SPEECH RECOGNITION FOR INTRA-SENTENTIAL CODE-SWITCHING
Zhen Huang, Xiaodan Zhuang, Daben Liu, Xiaoqiang Xiao, Yuchen Zhang, Sabato Marco Siniscalchi, Apple Inc., United States

SLP-P3.5: LANGUAGE-INVARIANT BOTTLENECK FEATURES FROM ADVERSARIAL END-TO-END ACOUSTIC MODELS FOR LOW RESOURCE SPEECH RECOGNITION
Jiangyan Yi, Jianhua Tao, Ye Bai, Institute of Automation, Chinese Academy of Sciences, China

SLP-P3.6: TOWARDS CODE-SWITCHING ASR FOR END-TO-END CTC MODELS
Ke Li, Johns Hopkins University, United States; Jinyu Li, Guoli Ye, Rui Zhao, Yifan Gong, Microsoft AI and Research, United States

SLP-P3.7: COMPARISON OF DATA AUGMENTATION AND ADAPTATION STRATEGIES FOR CODE-SWITCHED AUTOMATIC SPEECH RECOGNITION
Min Ma, Bhuvana Ramabhadran, Jesse Emond, Andrew Rosenberg, Fadi Biadsy, Google, Inc., United States

SLP-P3.8: WORD AND CLASS COMMON SPACE EMBEDDING FOR CODE-SWITCH LANGUAGE MODELLING
Grandee Lee, Haizhou Li, National University of Singapore, Singapore

SLP-P3.9: PHONEME LEVEL LANGUAGE MODELS FOR SEQUENCE BASED LOW RESOURCE ASR
Siddharth Dalmia, Xinjian Li, Alan W Black, Florian Metze, Carnegie Mellon University, United States

SLP-P3.10: TRANSFER LEARNING OF LANGUAGE-INDEPENDENT END-TO-END ASR WITH LANGUAGE MODEL FUSION
Hirofumi Inaguma, Kyoto University, Japan; Jaejin Cho, Johns Hopkins University, United States; Murali Karthick Baskar, Brno University of Technology, Czech Republic; Tatsuya Kawahara, Kyoto University, Japan; Shinji Watanabe, Johns Hopkins University, United States

SLP-P4: Speaker Verification and Identification II

SLP-P4.1: A ROBUST TEXT-INDEPENDENT SPEAKER VERIFICATION METHOD BASED ON SPEECH SEPARATION AND DEEP SPEAKER
Fei Zhao, Hao Li, Xueliang Zhang, Inner Mongolia University, China

SLP-P4.2: PHONEME SPECIFIC MODELLING AND SCORING TECHNIQUES FOR ANTI SPOOFING SYSTEM
Gajan Suthokumar, Kaavya Sriskandaraja, Vidhyasaharan Sethu, Chamith Wijenayake, Eliathamby Ambikairajah, The University of New South Wales, Australia

SLP-P4.3: INVESTIGATION ON NEURAL BANDWIDTH EXTENSION OF TELEPHONE SPEECH FOR IMPROVED SPEAKER RECOGNITION
Phani Sankar Nidadavolu, Vicente Iglesias, Jesús Villalba, Najim Dehak, Johns Hopkins University, United States

SLP-P4.4: DEEP SPEAKER EMBEDDING LEARNING WITH MULTI-LEVEL POOLING FOR TEXT-INDEPENDENT SPEAKER VERIFICATION
Yun Tang, Guohong Ding, Jing Huang, Xiaodong He, Bowen Zhou, JD AI Research, United States

SLP-P4.5: TIED NORMAL VARIANCE-MEAN MIXTURES FOR LINEAR SCORE CALIBRATION
Sandro Cumani, Pietro Laface, Politecnico di Torino, Italy

SLP-P4.6: DEEP SPEAKER REPRESENTATION USING ORTHOGONAL DECOMPOSITION AND RECOMBINATION FOR SPEAKER VERIFICATION
Insoo Kim, Kyuhong Kim, Jiwhan Kim, Changkyu Choi, Samsung Advanced Institute of Technology, Korea (South)

SLP-P4.7: SEQ2SEQ ATTENTIONAL SIAMESE NEURAL NETWORKS FOR TEXT-DEPENDENT SPEAKER VERIFICATION
Yichi Zhang, University of Rochester, United States; Meng Yu, Na Li, Chengzhu Yu, Jia Cui, Dong Yu, Tencent, China

SLP-P4.8: TRANSMISSION LINE COCHLEAR MODEL BASED AM-FM FEATURES FOR REPLAY ATTACK DETECTION
Tharshini Gunendradasan, Saad Irtza, Eliathamby Ambikairajah, Julien Epps, University of New South Wales, Australia

SLP-P4.9: HOW TO IMPROVE YOUR SPEAKER EMBEDDINGS EXTRACTOR IN GENERIC TOOLKITS
Hossein Zeinali, Lukáš Burget, Johan Rohdin, Brno University of Technology, Czech Republic; Themos Stafylakis, Omilia - Conversational Intelligence, Greece; Jan "Honza" Černocký, Brno University of Technology, Czech Republic

SLP-P4.10: CAN WE USE SPEAKER RECOGNITION TECHNOLOGY TO ATTACK ITSELF? ENHANCING MIMICRY ATTACKS USING AUTOMATIC TARGET SPEAKER SELECTION
Tomi Kinnunen, Rosa Gonzalez Hautamäki, Ville Vestman, University of Eastern Finland, Finland; Md Sahidullah, INRIA, France

SLP-P5: End-to-end Speech Recognition III: Source Integration and Knowledge Transfer

SLP-P5.1: SEQUENCE-LEVEL KNOWLEDGE DISTILLATION FOR MODEL COMPRESSION OF ATTENTION-BASED SEQUENCE-TO-SEQUENCE SPEECH RECOGNITION
Raden Mu'az Mun'im, Nakamasa Inoue, Koichi Shinoda, Tokyo Institute of Technology, Japan

SLP-P5.2: INVESTIGATION OF SEQUENCE-LEVEL KNOWLEDGE DISTILLATION METHODS FOR CTC ACOUSTIC MODELS
Ryoichi Takashima, Sheng Li, Hisashi Kawai, National Institute of Information and Communications Technology, Japan

SLP-P5.3: MULTI-SPEAKER SEQUENCE-TO-SEQUENCE SPEECH SYNTHESIS FOR DATA AUGMENTATION IN ACOUSTIC-TO-WORD SPEECH RECOGNITION
Sei Ueno, Masato Mimura, Shinsuke Sakai, Tatsuya Kawahara, Kyoto University, Japan

SLP-P5.4: SEMI-SUPERVISED END-TO-END SPEECH RECOGNITION USING TEXT-TO-SPEECH AND AUTOENCODERS
Shigeki Karita, NTT Communication Science Laboratories, Japan; Shinji Watanabe, Johns Hopkins University, United States; Tomoharu Iwata, Marc Delcroix, Atsunori Ogawa, Tomohiro Nakatani, NTT Communication Science Laboratories, Japan

SLP-P5.5: PHOEBE: PRONUNCIATION-AWARE CONTEXTUALIZATION FOR END-TO-END SPEECH RECOGNITION
Antoine Bruguier, Rohit Prabhavalkar, Golan Pundak, Tara N. Sainath, Google, Inc., United States

SLP-P5.6: ADVERSARIAL TRAINING OF END-TO-END SPEECH RECOGNITION USING A CRITICIZING LANGUAGE MODEL
Alexander H. Liu, Hung-yi Lee, Lin-shan Lee, National Taiwan University, Taiwan

SLP-P5.7: KNOWLEDGE DISTILLATION USING OUTPUT ERRORS FOR SELF-ATTENTION END-TO-END MODELS
Ho-Gyeong Kim, Hwidong Na, Hoshik Lee, Jihyun Lee, Tae Gyoon Kang, Min-Joong Lee, Young Sang Choi, Samsung Advanced Institute of Technology, Samsung Electronics, Korea (South)

SLP-P5.8: END-TO-END CONTEXTUAL SPEECH RECOGNITION USING CLASS LANGUAGE MODELS AND A TOKEN PASSING DECODER
Zhehuai Chen, Shanghai Jiao Tong University, China; Mahaveer Jain, Yongqiang Wang, Michael Seltzer, Christian Fuegen, Facebook, United States

SLP-P5.9: LANGUAGE MODEL INTEGRATION BASED ON MEMORY CONTROL FOR SEQUENCE TO SEQUENCE SPEECH RECOGNITION
Jaejin Cho, Shinji Watanabe, Johns Hopkins University, United States; Takaaki Hori, Mitsubishi Electric Research Laboratories, United States; Murali Karthick Baskar, Brno University of Technology, Czech Republic; Hirofumi Inaguma, Kyoto University, Japan; Jesús Villalba, Najim Dehak, Johns Hopkins University, United States

SLP-P6: Features and Robustness for Speaker Identification

SLP-P6.1: TRAINING MULTI-TASK ADVERSARIAL NETWORK FOR EXTRACTING NOISE-ROBUST SPEAKER EMBEDDING
Jianfeng Zhou, Tao Jiang, Lin Li, Qingyang Hong, Xiamen University, China; Zhe Wang, Bingyin Xia, Huawei Media Technology Institute, China

SLP-P6.2: REPLAY ATTACK DETECTION USING MAGNITUDE AND PHASE INFORMATION WITH ATTENTION-BASED ADAPTIVE FILTERS
Meng Liu, Longbiao Wang, Jianwu Dang, Tianjin University, China; Seiichi Nakagawa, Chubu University, Japan; Haotian Guan, Huiyan Technology (Tianjin) Co. Ltd., China; Xiangang Li, Didi Chuxing, China

SLP-P6.3: CYCLE-GANS FOR DOMAIN ADAPTATION OF ACOUSTIC FEATURES FOR SPEAKER RECOGNITION
Phani Sankar Nidadavolu, Jesús Villalba, Najim Dehak, Johns Hopkins University, United States

SLP-P6.4: SPEAKER CHARACTERIZATION USING TDNN-LSTM BASED SPEAKER EMBEDDING
Chia-Ping Chen, Su-Yu Zhang, Chih-Ting Yeh, National Sun Yat-sen University, Taiwan; Jia-Ching Wang, Tenghui Wang, National Central University, Taiwan; Chien-Lin Huang, JD.COM American Technologies Corporation, United States

SLP-P6.5: ADVERSARIAL SPEAKER VERIFICATION
Zhong Meng, Yong Zhao, Jinyu Li, Yifan Gong, Microsoft Corporation, United States

SLP-P6.6: CHANNEL ADVERSARIAL TRAINING FOR CROSS-CHANNEL TEXT-INDEPENDENT SPEAKER RECOGNITION
Xin Fang, University of Science and Technology of China, China; Liang Zou, Anhui University, China; Jin Li, iFlytek Research, China; Lei Sun, Zhen-Hua Ling, University of Science and Technology of China, China

SLP-P6.7: GENERATIVE ADVERSARIAL SPEAKER EMBEDDING NETWORKS FOR DOMAIN ROBUST END-TO-END SPEAKER VERIFICATION
Gautam Bhattacharya, McGill University, Canada; Joao Monteiro, Jahangir Alam, Patrick Kenny, Computer Research Institute of Montreal, Canada

SLP-P6.8: FORMANT-GAPS FEATURES FOR SPEAKER VERIFICATION USING WHISPERED SPEECH
Abinay Reddy Naini, Achuth Rao M V, Prasanta Kumar Ghosh, Indian Institute of Science, Bangalore, India

SLP-P6.9: SEMI-SUPERVISED NUISANCE-ATTRIBUTE NETWORKS FOR DOMAIN ADAPTATION
Weiwei Lin, Man-Wai Mak, Youzhi Tu, The Hong Kong Polytechnic University, Hong Kong SAR of China; Jen-Tzung Chien, National Chiao Tung University, Taiwan

SLP-P6.10: A BAYESIAN ATTENTION NEURAL NETWORK LAYER FOR SPEAKER RECOGNITION
Weizhong Zhu, IBM Research AI, United States; Jason Pelecanos, Google, Inc., United States

SLP-P6.11: SNR-INVARIANT MULTITASK DEEP NEURAL NETWORKS FOR ROBUST SPEAKER VERIFICATION
Qi Yao, Man-Wai Mak, The Hong Kong Polytechnic University, Hong Kong SAR of China

SLP-P7: End-to-end Speech Recognition IV: Training Strategies

SLP-P7.1: END-TO-END SPEECH RECOGNITION WITH ADAPTIVE COMPUTATION STEPS
Mohan Li, Min Liu, Masanori Hattori, Toshiba (China) R&D Center, China

SLP-P7.2: SUBBAND TEMPORAL ENVELOPE FEATURES AND DATA AUGMENTATION FOR END-TO-END RECOGNITION OF DISTANT CONVERSATIONAL SPEECH
Cong-Thanh Do, Toshiba Research Europe Limited, United Kingdom

SLP-P7.3: END-TO-END MONAURAL MULTI-SPEAKER ASR SYSTEM WITHOUT PRETRAINING
Xuankai Chang, Yanmin Qian, Kai Yu, Shanghai Jiao Tong University, China; Shinji Watanabe, Johns Hopkins University, United States

SLP-P7.4: SEQUENCE NOISE INJECTED TRAINING FOR END-TO-END SPEECH RECOGNITION
George Saon, Zoltan Tueske, Kartik Audhkhasi, Brian Kingsbury, IBM T.J. Watson Research Center, United States

SLP-P7.5: SUBWORD REGULARIZATION AND BEAM SEARCH DECODING FOR END-TO-END AUTOMATIC SPEECH RECOGNITION
Jennifer Drexler, James Glass, Massachusetts Institute of Technology, United States

SLP-P7.6: CYCLE-CONSISTENCY TRAINING FOR END-TO-END SPEECH RECOGNITION
Takaaki Hori, Mitsubishi Electric Research Laboratories, United States; Ramon Astudillo, INESC-ID, Portugal; Tomoki Hayashi, Nagoya University, Japan; Yu Zhang, Google, Inc., United States; Shinji Watanabe, Johns Hopkins University, United States; Jonathan Le Roux, Mitsubishi Electric Research Laboratories, United States

SLP-P7.7: TOKEN-WISE TRAINING FOR ATTENTION BASED END-TO-END SPEECH RECOGNITION
Peidong Wang, The Ohio State University, United States; Jia Cui, Chao Weng, Dong Yu, Tencent AI Lab, United States

SLP-P7.8: END-TO-END FEEDBACK LOSS IN SPEECH CHAIN FRAMEWORK VIA STRAIGHT-THROUGH ESTIMATOR
Andros Tjandra, Sakriani Sakti, Satoshi Nakamura, Nara Institute of Science and Technology, Japan

SLP-P8: Features and Learning for Speaker Identification and Diarization

SLP-P8.1: PRE-TRAINING OF SPEAKER EMBEDDINGS FOR LOW-LATENCY SPEAKER CHANGE DETECTION IN BROADCAST NEWS
Leda Sari, University of Illinois at Urbana-Champaign, United States; Samuel Thomas, IBM Research, United States; Mark Hasegawa-Johnson, University of Illinois at Urbana-Champaign, United States; Michael Picheny, IBM Research, United States

SLP-P8.2: INCREMENTAL TRANSFER LEARNING IN TWO-PASS INFORMATION BOTTLENECK BASED SPEAKER DIARIZATION SYSTEM FOR MEETINGS
Nauman Dawalatabad, Indian Institute of Technology Madras, India; Srikanth Madikeri, Idiap Research Institute, Switzerland; Chandra Sekhar, Hema A. Murthy, Indian Institute of Technology Madras, India

SLP-P8.3: TRANSFER LEARNING USING RAW WAVEFORM SINCNET FOR ROBUST SPEAKER DIARIZATION
Harishchandra Dubey, Abhijeet Sangwan, John H. L. Hansen, University of Texas at Dallas, United States

SLP-P8.4: FULLY SUPERVISED SPEAKER DIARIZATION
Aonan Zhang, Columbia University, United States; Quan Wang, Zhenyao Zhu, Google, Inc., United States; John Paisley, Columbia University, United States; Chong Wang, Google, Inc., United States

SLP-P8.5: IMPORTANCE OF ANALYTIC PHASE OF THE SPEECH SIGNAL FOR DETECTING REPLAY ATTACKS IN AUTOMATIC SPEAKER VERIFICATION SYSTEMS
Shaik Mohammad Rafi B, Sri Rama Murty K, Indian Institute of Technology Hyderabad, India

SLP-P8.6: MULTIPLE TEMPORAL SCALES BASED SPEAKER EMBEDDINGS LEARNING FOR TEXT-DEPENDENT SPEAKER RECOGNITION
Wenchao Wang, Yike Zhang, Ji Xu, Yonghong Yan, Chinese Academy of Sciences, China

SLP-P8.7: ATTENTIVE FILTERING NETWORKS FOR AUDIO REPLAY ATTACK DETECTION
Cheng-I Lai, Johns Hopkins University, United States; Alberto Takis, University of Lisbon, Portugal; Korin Richmond, University of Edinburgh, United Kingdom; Junichi Yamagishi, National Institute of Informatics, Japan; Najim Dehak, Johns Hopkins University, United States; Simon King, University of Edinburgh, United Kingdom

SLP-P8.8: BOUNDARY DISCRIMINATIVE LARGE MARGIN COSINE LOSS FOR TEXT-INDEPENDENT SPEAKER VERIFICATION
Rongjin Li, Xiamen University, China; Na Li, Deyi Tuo, Meng Yu, Dan Su, Dong Yu, Tencent, China

SLP-P8.9: TARGET AND NON-TARGET SPEAKER DISCRIMINATION BY HUMANS AND MACHINES
Soo Jin Park, Amber Afshan, Jody Kreiman, Gary Yeung, Abeer Alwan, University of California, Los Angeles, United States

SLP-P8.10: AN IMPROVED UNCERTAINTY PROPAGATION METHOD FOR ROBUST I-VECTOR BASED SPEAKER RECOGNITION
Dayana Ribas, ViVoLab, Zaragoza University, Spain; Emmanuel Vincent, Université de Lorraine, CNRS, Inria, LORIA, France

SLP-P9: Keyword Spotting and Embedded ASR Systems

SLP-P9.1: END-TO-END STREAMING KEYWORD SPOTTING
Raziel Alvarez, Hyun Jin Park, Google, Inc., United States

SLP-P9.2: FEDERATED LEARNING FOR KEYWORD SPOTTING
David Leroy, Alice Coucke, Thibaut Lavril, Thibault Gisselbrecht, Joseph Dureau, Snips, France

SLP-P9.3: HOTWORD CLEANER: DUAL-MICROPHONE ADAPTIVE NOISE CANCELLATION WITH DEFERRED FILTER COEFFICIENTS FOR ROBUST KEYWORD SPOTTING
Yiteng (Arden) Huang, Turaj Shabestary, Alexander Gruenstein, Google, Inc., United States

SLP-P9.4: EFFICIENT KEYWORD SPOTTING USING DILATED CONVOLUTIONS AND GATING
Alice Coucke, Mohammed Chlieh, Thibault Gisselbrecht, David Leroy, Mathieu Poumeyrol, Thibaut Lavril, Snips, France

SLP-P9.5: VOICE TRIGGER DETECTION FROM LVCSR HYPOTHESIS LATTICES USING BIDIRECTIONAL LATTICE RECURRENT NEURAL NETWORKS
Woojay Jeon, Leo Liu, Henry Mason, Apple, United States

SLP-P9.6: FOCAL LOSS AND DOUBLE-EDGE-TRIGGERED DETECTOR FOR ROBUST SMALL-FOOTPRINT KEYWORD SPOTTING
Bin Liu, Shuai Nie, Yaping Zhang, Shan Liang, Zhanlei Yang, Wenju Liu, National Laboratory of Patten Recognition, Institute of Automation, Chinese Academy of Sciences, Colombia

SLP-P9.7: ADVERSARIAL EXAMPLES FOR IMPROVING END-TO-END ATTENTION-BASED SMALL-FOOTPRINT KEYWORD SPOTTING
Xiong Wang, Sining Sun, Changhao Shan, Jingyong Hou, Lei Xie, Northwestern Polytechnical University, China; Shen Li, Xin Lei, Mobvoi AI Lab, China

SLP-P9.8: SEMI-SUPERVISED AND POPULATION BASED TRAINING FOR VOICE COMMANDS RECOGNITION
Oguz H. Elibol, Gokce Keskin, Anil Thomas, Intel Corporation, United States

SLP-P9.9: AUTOMATIC GRAMMAR AUGMENTATION FOR ROBUST VOICE COMMAND RECOGNITION
Yang Yang, Qualcomm, United States; Anusha Lalitha, University of California, San Diego, United States; Jinwon Lee, Chris Lott, Qualcomm, United States

SLP-P9.10: STREAMING END-TO-END SPEECH RECOGNITION FOR MOBILE DEVICES
Yanzhang He, Tara N. Sainath, Rohit Prabhavalkar, Ian McGraw, Raziel Alvarez, Ding Zhao, David Rybach, Anjuli Kannan, Yonghui Wu, Ruoming Pang, Qiao Liang, Deepti Bhatia, Yuan Shangguan, Bo Li, Golan Pundak, Khe Chai Sim, Tom Bagby, Shuo-Yiin Chang, Kanishka Rao, Alexander Gruenstein, Google, Inc., United States

SLP-P10: Analysis of Voice, Speech and Language Disorders II

SLP-P10.1: OBJECTIVE ASSESSMENT OF VOCAL TREMOR
Jacob Peplinski, Visar Berisha, Julie Liss, Arizona State University, United States; Shira Hahn, Aural Analytics, United States; Jeremy Shefner, Barrow Neurological Institute, United States; Seward Rutkove, Kristin Qi, Beth Israel Deaconess Medical Center, United States; Kerisa Shelton, Barrow Neurological Institute, United States

SLP-P10.2: SPEECH MARKERS FOR CLINICAL ASSESSMENT OF COCAINE USERS
Carla Agurto, Raquel Norel, Mary Pietrowicz, IBM, United States; Muhammad Parvaz, Icahn School of Medicine at Mount Sinai, United States; Sivan Kinreich, SUNY Downstate Medical Center, United States; Keren Bachi, Icahn School of Medicine at Mount Sinai, United States; Guillermo Cecchi, IBM, United States; Rita Z. Goldstein, Icahn School of Medicine at Mount Sinai, United States

SLP-P10.3: END-TO-END DYSARTHRIC SPEECH RECOGNITION USING MULTIPLE DATABASES
Yuki Takashima, Tetsuya Takiguchi, Yasuo Ariki, Kobe University, Japan

SLP-P10.4: SUPER-GAUSSIANITY OF SPEECH SPECTRAL COEFFICIENTS AS A POTENTIAL BIOMARKER FOR DYSARTHRIC SPEECH DETECTION
Ina Kodrasi, Hervé Bourlard, Idiap Research Institute, Switzerland

SLP-P10.5: PATHOLOGICAL SPEECH INTELLIGIBILITY ASSESSMENT BASED ON THE SHORT-TIME OBJECTIVE INTELLIGIBILITY MEASURE
Parvaneh Janbakhshi, Ina Kodrasi, Hervé Bourlard, Idiap Research Institute, Switzerland

SLP-P10.6: PERCEPTUALLY ENHANCED SINGLE FREQUENCY FILTERING FOR DYSARTHRIC SPEECH DETECTION AND INTELLIGIBILITY ASSESSMENT
Krishna Gurugubelli, Anil Kumar Vuppala, International Institute of Information Technology, Hyderabad, India

SLP-P10.7: AUGMENTING DYSPHONIA VOICE USING FOURIER-BASED SYNCHROSQUEEZING TRANSFORM FOR A CNN CLASSIFIER
Alice Rueda, Sridhar Krishnan, Ryerson University, Canada

SLP-P10.8: COMBINING PHONE POSTERIORGRAMS FROM STRONG AND WEAK RECOGNIZERS FOR AUTOMATIC SPEECH ASSESSMENT OF PEOPLE WITH APHASIA
Ying Qin, Tan Lee, The Chinese University of Hong Kong, Hong Kong SAR of China; Anthony Pak Hin Kong, University of Central Florida, United States

SLP-P10.9: LEARNING VOICE SOURCE RELATED INFORMATION FOR DEPRESSION DETECTION
S. Pavankumar Dubagunta, Bogdan Vlasenko, Mathew Magimai.-Doss, Idiap Research Institute, Switzerland

SLP-P11: ASR Training Strategies and Toolkits

SLP-P11.1: TEACH AN ALL-ROUNDER WITH EXPERTS IN DIFFERENT DOMAINS
Zhao You, Dan Su, Dong Yu, Tencent, China

SLP-P11.2: A COMPARISON OF LATTICE-FREE DISCRIMINATIVE TRAINING CRITERIA FOR PURELY SEQUENCE-TRAINED NEURAL NETWORK ACOUSTIC MODELS
Chao Weng, Dong Yu, Tencent, United States

SLP-P11.3: SEGMENT-LEVEL TRAINING OF ANNS BASED ON ACOUSTIC CONFIDENCE MEASURES FOR HYBRID HMM/ANN SPEECH RECOGNITION
S. Pavankumar Dubagunta, Mathew Magimai.-Doss, Idiap Research Institute, Switzerland

SLP-P11.4: CONTEXTUAL SPEECH RECOGNITION WITH DIFFICULT NEGATIVE TRAINING EXAMPLES
Uri Alon, Technion, Israel; Golan Pundak, Tara N. Sainath, Google, Inc., United States

SLP-P11.5: CONDITIONAL TEACHER-STUDENT LEARNING
Zhong Meng, Jinyu Li, Yong Zhao, Yifan Gong, Microsoft Corporation, United States

SLP-P11.6: A NEURAL NETWORK BASED RANKING FRAMEWORK TO IMPROVE ASR WITH NLU RELATED KNOWLEDGE DEPLOYED
Zhengyu Zhou, Bosch Research and Technology Center North America, United States; Xuchen Song, Carnegie Mellon University, United States; Rami Botros, Google, Inc., United States; Lin Zhao, Bosch Research and Technology Center North America, United States

SLP-P11.7: ENGLISH BROADCAST NEWS SPEECH RECOGNITION BY HUMANS AND MACHINES
Samuel Thomas, Masayuki Suzuki, Yinghui Huang, Gakuto Kurata, Zoltan Tuske, George Saon, Brian Kingsbury, Michael Picheny, IBM Research, United States; Tom Dibert, Alice Kaiser-Schatzlein, Bern Samko, Appen, United States

SLP-P11.8: WAV2LETTER++: A FAST OPEN-SOURCE SPEECH RECOGNITION SYSTEM
Vineel Pratap, Awni Hannun, Qiantong Xu, Jeff Cai, Jacob Kahn, Gabriel Synnaeve, Vitaliy Liptchinsky, Ronan Collobert, Facebook AI Research, United States

SLP-P11.9: THE PYTORCH-KALDI SPEECH RECOGNITION TOOLKIT
Mirco Ravanelli, Mila, Université de Montréal, Canada; Titouan Parcollet, Université d'Avignon, France; Yoshua Bengio, Mila, Université de Montréal, Canada

SLP-P11.10: PYHTK: PYTHON LIBRARY AND ASR PIPELINES FOR HTK
Chao Zhang, Florian Kreyssig, Qiujia Li, Philip Woodland, University of Cambridge, United Kingdom

SLP-P11.11: IMPROVING NOISE ROBUSTNESS OF AUTOMATIC SPEECH RECOGNITION VIA PARALLEL DATA AND TEACHER-STUDENT LEARNING
Ladislav Mosner, Brno University of Technology, Czech Republic; Minhua Wu, Anirudh Raju, Sree Hari Krishnan Parthasarathi, Kenichi Kumatani, Shiva Sundaram, Roland Maas, Björn Hoffmeister, Amazon, United States

SLP-P12: Speech Analysis

SLP-P12.1: GLOTTOGRAPHIC AND AERODYNAMIC ANALYSIS ON CONSONANT ASPIRATION AND ONSET F0 IN MANDARIN CHINESE
Yujie Chi, Kiyoshi Honda, Jianguo Wei, Tianjin University, China

SLP-P12.2: DATA AUGMENTATION STRATEGIES FOR NEURAL NETWORK F0 ESTIMATION
Manu Airaksinen, Lauri Juvela, Paavo Alku, Aalto University, Finland; Okko Räsänen, Tampere University of Technology, Finland

SLP-P12.3: F0 CONTOUR ESTIMATION USING PHONETIC FEATURE IN ELECTROLARYNGEAL SPEECH ENHANCEMENT
Zexin Cai, Duke Kunshan University, China; Zhicheng Xu, The Chinese University of Hong Kong, Hong Kong SAR of China; Ming Li, Duke Kunshan University, China

SLP-P12.4: A STUDY ON HOW PRE-WHITENING INFLUENCES FUNDAMENTAL FREQUENCY ESTIMATION
Alfredo Esquivel Jaramillo, Jesper Kjær Nielsen, Mads Græsbøll Christensen, Aalborg University, Denmark

SLP-P12.5: A QUANTITATIVE COMPARISON OF EPOCH EXTRACTION ALGORITHMS FOR TELEPHONE SPEECH
Sudarsana Reddy Kadiri, IIIT Hyderabad, India

SLP-P12.6: EPOCH EXTRACTION FROM SPEECH SIGNALS USING TEMPORAL AND SPECTRAL CUES BY EXPLOITING HARMONIC STRUCTURE OF IMPULSE-LIKE EXCITATIONS
Gangamohan Paidi, Suryakanth V Gangashetty, IIIT Hyderabad, India

SLP-P12.7: A SPECTRO-TEMPORAL TECHNIQUE FOR ESTIMATING APERIODICITY AND VOICED/UNVOICED DECISION BOUNDARIES OF SPEECH SIGNALS
Jitendra Dhiman, Chandra Sekhar Seelamantula, Indian Institute of Science, Bangalore, India

SLP-P12.8: USING EXTREME GRADIENT BOOSTING TO DETECT GLOTTAL CLOSURE INSTANTS IN SPEECH SIGNAL
Jindrich Matousek, Daniel Tihelka, University of West Bohemia, Czech Republic

SLP-P12.9: OBJECTIVE MEASURES OF PLOSIVE NASALIZATION IN HYPERNASAL SPEECH
Michael Saxon, Julie Liss, Visar Berisha, Arizona State University, United States

SLP-P12.10: TRADITIONAL MACHINE LEARNING FOR PITCH DETECTION
Thomas Drugman, Goeric Huybrechts, Viacheslav Klimkov, Alexis Moinet, Amazon, Germany

SLP-P13: New Features, Models and Representations / Audio Visual ASR

SLP-P13.1: LEARNED IN SPEECH RECOGNITION: CONTEXTUAL ACOUSTIC WORD EMBEDDINGS
Shruti Palaskar, Vikas Raunak, Florian Metze, Carnegie Mellon University, United States

SLP-P13.2: TRULY UNSUPERVISED ACOUSTIC WORD EMBEDDINGS USING WEAK TOP-DOWN CONSTRAINTS IN ENCODER-DECODER MODELS
Herman Kamper, Stellenbosch University, South Africa

SLP-P13.3: A FACTORIAL DEEP MARKOV MODEL FOR UNSUPERVISED DISENTANGLED REPRESENTATION LEARNING FROM SPEECH
Sameer Khurana, Massachusetts Institute of Technology, United States; Shafiq Rayhan Joty, NTU, Singapore; Ahmed Ali, QCRI, Qatar; James Glass, Massachusetts Institute of Technology, United States

SLP-P13.4: M-VECTORS: SUB-BAND BASED ENERGY MODULATION FEATURES FOR MULTI-STREAM AUTOMATIC SPEECH RECOGNITION
Samik Sadhu, Ruizhi Li, Hynek Hermansky, Johns Hopkins University, United States

SLP-P13.5: IMPROVING LAYER TRAJECTORY LSTM WITH FUTURE CONTEXT FRAMES
Jinyu Li, Liang Lu, Changliang Liu, Yifan Gong, Microsoft, United States

SLP-P13.6: BAYESIAN AND GAUSSIAN PROCESS NEURAL NETWORKS FOR LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION
Shoukang Hu, Max W. Y. Lam, Xurong Xie, Shansong Liu, Jianwei Yu, Xixin Wu, Xunying Liu, Helen Meng, The Chinese University of Hong Kong, Hong Kong SAR of China

SLP-P13.7: IMPROVING AUDIO-VISUAL SPEECH RECOGNITION PERFORMANCE WITH CROSS-MODAL STUDENT-TEACHER TRAINING
Wei Li, Sicheng Wang, Georgia Institute of Technology, United States; Ming Lei, Alibaba, China; Sabato Marco Siniscalchi, Kore University of Enna, Italy; Chin-Hui Lee, Georgia Institute of Technology, United States

SLP-P13.8: MODALITY ATTENTION FOR END-TO-END AUDIO-VISUAL SPEECH RECOGNITION
Pan Zhou, Tsinghua University, China; Wenwen Yang, Wei Chen, Yanfeng Wang, Sogou Technology Incorporated, China; Jia Jia, Tsinghua University, China

SLP-P13.9: ROBUST AUDIO-VISUAL SPEECH RECOGNITION USING BIMODAL DFSMN WITH MULTI-CONDITION TRAINING AND DROPOUT REGULARIZATION
Shiliang Zhang, Ming Lei, Bin Ma, Machine Intelligence Technology, Alibaba Group, China; Lei Xie, Northwestern Polytechnical University, China

SLP-P14: Speech Analysis of Extralinguistic Factors

SLP-P14.1: PRIVACY-PRESERVING PARALINGUISTIC TASKS
Francisco Teixeira, Alberto Abad, Isabel Trancoso, INESC-ID/Instituto Superior Técnico, University of Lisbon, Portugal

SLP-P14.2: A DEEP NEURAL NETWORK BASED END TO END MODEL FOR JOINT HEIGHT AND AGE ESTIMATION FROM SHORT DURATION SPEECH
Shareef Babu Kalluri, Deepu Vijayasenan, National Institute of Technology Karnataka - Surathkal, India; Sriram Ganapathy, Indian Institute of Science, India

SLP-P14.4: ZERO RESOURCE SPEAKING RATE ESTIMATION FROM CHANGE POINT DETECTION OF SYLLABLE-LIKE UNITS
Shekhar Nayak, Indian Institute of Technology Hyderabad, India; Saurabhchand Bhati, Johns Hopkins University, United States; K Sri Rama Murty, Indian Institute of Technology Hyderabad, India

SLP-P14.5: REFERENTIAL VOWEL DURATION RATIO AS A FEATURE FOR AUTOMATIC ASSESSMENT OF L2 WORD PROSODY
Tsuneo Kato, Doshisha University, Japan; Quy-Thao Truong, Ecole Centrale de Nantes, France; Kohei Kitamura, Seiichi Yamamoto, Doshisha University, Japan

SLP-P14.6: DIMENSIONAL ANALYSIS OF LAUGHTER IN FEMALE CONVERSATIONAL SPEECH
Mary Pietrowicz, Carla Agurto, IBM, United States; Jonah Casebeer, Mark Hasegawa-Johnson, Karrie Karahalios, University of Illinois at Urbana-Champaign, United States; Guillermo Cecchi, IBM, United States

SLP-P14.7: IMPROVING THE PREDICTION OF THERAPIST BEHAVIORS IN ADDICTION COUNSELING BY EXPLOITING CLASS CONFUSIONS
Zhuohao Chen, Karan Singla, James Gibson, Dogan Can, Signal Analysis and Interpretation Lab, University of Southern California, United States; Zac Imel, University of Utah, United States; David Atkins, University of Washington, United States; Panayiotis Georgiou, Shrikanth Narayanan, Signal Analysis and Interpretation Lab, University of Southern California, United States

SLP-P14.8: EVALUATION MEASURES FOR DEPRESSION PREDICTION AND AFFECTIVE COMPUTING
Sadari Jayawardena, Julien Epps, Eliathamby Ambikairajah, University of New South Wales, Australia

SLP-P14.9: EFFECTS OF LOMBARD REFLEX ON THE PERFORMANCE OF DEEP-LEARNING-BASED AUDIO-VISUAL SPEECH ENHANCEMENT SYSTEMS
Daniel Michelsanti, Zheng-Hua Tan, Aalborg University, Denmark; Sigurdur Sigurdsson, Oticon A/S, Denmark; Jesper Jensen, Aalborg University, Denmark

SLP-P14.10: CROSS-LINGUAL SPEECH-BASED TOBI LABEL GENERATION USING BIDIRECTIONAL LSTM
Marco Vetter, Sakriani Sakti, Satoshi Nakamura, Nara Institute of Science and Technology, Japan

SLP-P15: Distant Speech Recognition

SLP-P15.1: SPATIAL AND CHANNEL ATTENTION BASED CONVOLUTIONAL NEURAL NETWORKS FOR MODELING NOISY SPEECH
Sirui Xu, Eric Fosler-Lussier, The Ohio State University, United States

SLP-P15.2: ACOUSTIC MODELING FOR DISTANT MULTI-TALKER SPEECH RECOGNITION WITH SINGLE- AND MULTI-CHANNEL BRANCHES
Naoyuki Kanda, Yusuke Fujita, Shota Horiguchi, Rintaro Ikeshita, Kenji Nagamatsu, Hitachi Ltd., Japan; Shinji Watanabe, Johns Hopkins University, United States

SLP-P15.3: MULTI-GEOMETRY SPATIAL ACOUSTIC MODELING FOR DISTANT SPEECH RECOGNITION
Kenichi Kumatani, Wu Minhua, Shiva Sundaram, Nikko Ström, Björn Hoffmeister, Amazon, United States

SLP-P15.4: FREQUENCY DOMAIN MULTI-CHANNEL ACOUSTIC MODELING FOR DISTANT SPEECH RECOGNITION
Wu Minhua, Kenichi Kumatani, Shiva Sundaram, Nikko Ström, Björn Hoffmeister, Amazon, United States

SLP-P15.5: ON REDUCING THE EFFECT OF SPEAKER OVERLAP FOR CHIME-5
Catalin Zorila, Rama Doddipatla, Toshiba Cambridge Research Laboratory, United Kingdom

SLP-P15.6: A TWO-STAGE SINGLE-CHANNEL SPEAKER-DEPENDENT SPEECH SEPARATION APPROACH FOR CHIME-5 CHALLENGE
Lei Sun, Jun Du, Tian Gao, University of Science and Technology of China, China; Yi Fang, Feng Ma, Jia Pan, iFlytek Company, China; Chin-Hui Lee, Georgia Institute of Technology, China

SLP-P15.7: JOINT OPTIMIZATION OF NEURAL NETWORK-BASED WPE DEREVERBERATION AND ACOUSTIC MODEL FOR ROBUST ONLINE ASR
Jahn Heymann, Lukas Drude, Reinhold Häb-Umbach, Paderborn University, Germany; Keisuke Kinoshita, Tomohiro Nakatani, NTT Communication Science Laboratories, Japan

SLP-P15.8: INVESTIGATION INTO JOINT OPTIMIZATION OF SINGLE CHANNEL SPEECH ENHANCEMENT AND ACOUSTIC MODELING FOR ROBUST ASR
Tobias Menne, Ralf Schlüter, Hermann Ney, RWTH Aachen University, Germany

SLP-P15.9: ACOUSTIC MODELING FOR OVERLAPPING SPEECH RECOGNITION: JHU CHIME-5 CHALLENGE SYSTEM
Vimal Manohar, Szu-Jui Chen, Zhiqi Wang, Johns Hopkins University, United States; Yusuke Fujita, Hitachi Ltd., Japan; Shinji Watanabe, Sanjeev Khudanpur, Johns Hopkins University, United States

SLP-P15.10: LESSONS FROM BUILDING ACOUSTIC MODELS WITH A MILLION HOURS OF SPEECH
Sree Hari Krishnan Parthasarathi, Nikko Ström, Amazon, United States

SLP-P16: Architectures for Emotion and Sentiment Analysis

SLP-P16.1: DILATED RESIDUAL NETWORK WITH MULTI-HEAD SELF-ATTENTION FOR SPEECH EMOTION RECOGNITION
Runnan Li, Zhiyong Wu, Jia Jia, Tsinghua University, China; Sheng Zhao, Microsoft, China; Helen Meng, The Chinese University of Hong Kong, China

SLP-P16.2: CONTEXT MODELLING USING HIERARCHICAL ATTENTION NETWORKS FOR SENTIMENT AND SELF-ASSESSED EMOTION DETECTION IN SPOKEN NARRATIVES
Lukas Stappen, Nicholas Cummins, University of Augsburg, Germany; Eva-Maria Meßner, Harald Baumeister, University of Ulm, Germany; Judith Dineley, Björn Schuller, University of Augsburg, Germany

SLP-P16.3: AN INTERACTION-AWARE ATTENTION NETWORK FOR SPEECH EMOTION RECOGNITION IN SPOKEN DIALOGS
Sung-Lin Yeh, Yun-Shao Lin, Chi-Chun Lee, National Tsing Hua University, Taiwan

SLP-P16.4: COMPACT CONVOLUTIONAL RECURRENT NEURAL NETWORKS VIA BINARIZATION FOR SPEECH EMOTION RECOGNITION
Huan Zhao, Yufeng Xiao, Hunan University, China; Jing Han, University of Augsburg, Germany; Zixing Zhang, Imperial College London, United Kingdom

SLP-P16.5: SPEECH EMOTION RECOGNITION USING CAPSULE NETWORKS
Xixin Wu, Songxiang Liu, Yuewen Cao, Xu Li, Jianwei Yu, The Chinese University of Hong Kong, China; Dongyang Dai, Xi Ma, Tsinghua University, China; Shoukang Hu, The Chinese University of Hong Kong, China; Zhiyong Wu, Tsinghua University, China; Xunying Liu, Helen Meng, The Chinese University of Hong Kong, China

SLP-P16.6: HIERARCHICAL TWO-LEVEL MODELLING OF EMOTIONAL STATES IN SPOKEN DIALOG SYSTEMS
Oxana Verkholyak, St. Petersburg Institute for Informatics and Automation of Russian Academy of Sciences, Russia; Dmitrii Fedotov, Ulm University, Germany; Heysem Kaya, Namik Kemal University, Turkey; Yang Zhang, Huawei, China; Alexey Karpov, St. Petersburg Institute for Informatics and Automation of Russian Academy of Sciences, Russia

SLP-P16.7: ATTENTION-AUGMENTED END-TO-END MULTI-TASK LEARNING FOR EMOTION PREDICTION FROM SPEECH
Zixing Zhang, Bingwen Wu, Björn Schuller, Imperial College London, United Kingdom

SLP-P16.8: EFFICIENT ARABIC EMOTION RECOGNITION USING DEEP NEURAL NETWORKS
Yasser Hifny, University of Helwan, Egypt; Ahmed Ali, Qatar Computing Research Institute, Qatar

SLP-P16.9: REVISITING HIDDEN MARKOV MODELS FOR SPEECH EMOTION RECOGNITION
Shuiyang Mao, Dehua Tao, Guangyan Zhang, Pak-Chung Ching, Tan Lee, The Chinese University of Hong Kong, China

SLP-P16.10: DNN-BASED EMOTION RECOGNITION BASED ON BOTTLENECK ACOUSTIC FEATURES AND LEXICAL FEATURES
Eesung Kim, Jong Won Shin, Gwangju Institute of Science and Technology, Korea (South)

SLP-P16.11: CO-ATTENTION NETWORK AND LOW-RANK BILINEAR POOLING FOR ASPECT BASED SENTIMENT ANALYSIS
Peiran Zhang, Hongbo Zhu, Tao Xiong, Yihui Yang, Alibaba Group, China

SLP-P17: Robust Speech Recognition

SLP-P17.1: ANALYZING UNCERTAINTIES IN SPEECH RECOGNITION USING DROPOUT
Apoorv Vyas, Pranay Dighe, Sibo Tong, Hervé Bourlard, Idiap Research Institute & École Polytechnique Fédérale de Lausanne, Switzerland

SLP-P17.2: PARAMETRIC CEPSTRAL MEAN NORMALIZATION FOR ROBUST SPEECH RECOGNITION
Ozlem Kalinli, Apple Inc., United States; Gautam Bhattacharya, McGill University, Canada; Chao Weng, Tencent AI Lab, United States

SLP-P17.3: ATTENTIVE ADVERSARIAL LEARNING FOR DOMAIN-INVARIANT TRAINING
Zhong Meng, Jinyu Li, Yifan Gong, Microsoft Corporation, United States

SLP-P17.4: JOINT TRAINING OF COMPLEX RATIO MASK BASED BEAMFORMER AND ACOUSTIC MODEL FOR NOISE ROBUST ASR
Yong Xu, Chao Weng, Tencent AI Lab, United States; Like Hui, The Ohio State University, United States; Jianming Liu, Meng Yu, Dan Su, Dong Yu, Tencent AI Lab, United States

SLP-P17.5: REINFORCEMENT LEARNING BASED SPEECH ENHANCEMENT FOR ROBUST SPEECH RECOGNITION
Yih-Liang Shen, Chao-Yuan Huang, National Chiao Tung University, Taiwan; Syu-Siang Wang, Ministry of Science and Technology, Taiwan; Yu Tsao, Hsin-Min Wang, Academia Sinica, Taiwan; Tai-Shih Chi, National Chiao Tung University, Taiwan

SLP-P17.6: BI-DIRECTIONAL LATTICE RECURRENT NEURAL NETWORKS FOR CONFIDENCE ESTIMATION
Qiujia Li, Preben Ness, Anton Ragni, Mark Gales, University of Cambridge, United Kingdom

SLP-P17.7: AUC OPTIMIZATION FOR DEEP LEARNING BASED VOICE ACTIVITY DETECTION
Zi-Chen Fan, Zhongxin Bai, Xiao-Lei Zhang, Susanto Rahardja, Jingdong Chen, Northwestern Polytechnical University, China

SLP-P17.8: SPEAKER AGNOSTIC FOREGROUND SPEECH DETECTION FROM AUDIO RECORDINGS IN WORKPLACE SETTINGS FROM WEARABLE RECORDERS
Amrutha Nadarajan, Krishna Somandepalli, Shrikanth Narayanan, Signal Analysis and Interpretation Laboratory, United States

SLP-P17.9: SPEECH AUGMENTATION USING WAVENET IN SPEECH RECOGNITION
Jisung Wang, Sangki Kim, Yeha Lee, VUNO, Korea (South)

SLP-P17.10: ROBUST RECOGNITION OF REVERBERANT AND NOISY SPEECH USING COHERENCE-BASED PROCESSING
Anjali Menon, Carnegie Mellon University, United States; Chanwoo Kim, Samsing Research, United States; Richard Stern, Carnegie Mellon University, United States

SLP-P17.11: CYCLEGAN BANDWIDTH EXTENSION ACOUSTIC MODELING FOR AUTOMATIC SPEECH RECOGNITION
David Haws, Xiaodong Cui, IBM, United States

SLP-P17.12: VOICE ACTIVITY DETECTION USING AN ADAPTIVE CONTEXT ATTENTION MODEL
Juntae Kim, Korea Advanced Institute of Science and Technology, Korea (South)

SLP-P18: Voice Conversion

SLP-P18.1: IMPROVING SEQUENCE-TO-SEQUENCE VOICE CONVERSION BY ADDING TEXT-SUPERVISION
Jing-Xuan Zhang, Zhen-Hua Ling, University of Science and Technology of China, China; Yuan Jiang, Li-Juan Liu, iFLYTEK Co., Ltd., China; Chen Liang, Anhui Science and Technology Institute, China; Li-Rong Dai, University of Science and Technology of China, China

SLP-P18.2: CROSS-LINGUAL VOICE CONVERSION WITH BILINGUAL PHONETIC POSTERIORGRAM AND AVERAGE MODELING
Yi Zhou, Xiaohai Tian, National University of Singapore, Singapore; Haihua Xu, Nanyang Technological University, Singapore; Rohan Kumar Das, Haizhou Li, National University of Singapore, Singapore

SLP-P18.3: AUDIOVISUAL SPEAKER CONVERSION: JOINTLY AND SIMULTANEOUSLY TRANSFORMING FACIAL EXPRESSION AND ACOUSTIC CHARACTERISTICS
Fuming Fang, Xin Wang, Junichi Yamagishi, Isao Echizen, National Institute of Informatics, Japan

SLP-P18.4: ATTENTION-BASED WAVENET AUTOENCODER FOR UNIVERSAL VOICE CONVERSION
Adam Polyak, Lior Wolf, Facebook AI Research, Tel Aviv University, Israel

SLP-P18.5: ATTS2S-VC: SEQUENCE-TO-SEQUENCE VOICE CONVERSION WITH ATTENTION AND CONTEXT PRESERVATION MECHANISMS
Kou Tanaka, Hirokazu Kameoka, Takuhiro Kaneko, Nobukatsu Hojo, NTT Corporation, Japan

SLP-P18.6: A COMPACT FRAMEWORK FOR VOICE CONVERSION USING WAVENET CONDITIONED ON PHONETIC POSTERIORGRAMS
Hui Lu, Zhiyong Wu, Runnan Li, Tsinghua University, China; Shiyin Kang, Tencent, China; Jia Jia, Tsinghua University, China; Helen Meng, The Chinese University of Hong Kong, China

SLP-P18.7: VOICE CONVERSION WITH CYCLIC RECURRENT NEURAL NETWORK AND FINE-TUNED WAVENET VOCODER
Patrick Lumban Tobing, Yi-Chiao Wu, Tomoki Hayashi, Kazuhiro Kobayashi, Tomoki Toda, Nagoya University, Japan

SLP-P18.8: CYCLEGAN-VC2: IMPROVED CYCLEGAN-BASED NON-PARALLEL VOICE CONVERSION
Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Nobukatsu Hojo, NTT Corporation, Japan

SLP-P18.9: CROSS-GENDER VOICE CONVERSION WITH CONSTANT F0-RATIO AND AVERAGE BACKGROUND CONVERSION MODEL
Zbigniew Łatka, Techmo, Poland; Jakub Gałka, AGH University of Science and Technology, Poland; Bartosz Ziółko, Techmo, Poland

SLP-P18.10: SEQUENCE-TO-SEQUENCE MODELLING OF F0 FOR SPEECH EMOTION CONVERSION
Carl Robinson, Nicolas Obin, Axel Roebel, IRCAM, France

SLP-P18.11: CYCLE-CONSISTENT ADVERSARIAL NETWORKS FOR NON-PARALLEL VOCAL EFFORT BASED SPEAKING STYLE CONVERSION
Shreyas Seshadri, Lauri Juvela, Aalto University, Finland; Junichi Yamagishi, National Institute of Informatics, Japan; Okko Räsänen, Tampere University of Technology, Finland; Paavo Alku, Aalto University, Finland

SLP-P18.12: DATA EFFICIENT VOICE CLONING FOR NEURAL SINGING SYNTHESIS
Merlijn Blaauw, Jordi Bonada, Universitat Pompeu Fabra, Spain; Ryunosuke Daido, Yamaha, Japan

SLP-P19: Speech Enhancement II

SLP-P19.1: OBJECTIVE COMPARISON OF SPEECH ENHANCEMENT ALGORITHMS WITH HEARING LOSS SIMULATION
Zhuohuang Zhang, Yi Shen, Donald S. Williamson, Indiana University, United States

SLP-P19.2: BINAURAL BEAMFORMING BASED ON AUTOMATIC INTERFERER SELECTION
Costas Kokke, Richard Hendriks, Andreas Koutrouvelis, Delft University of Technology, Netherlands

SLP-P19.3: MASK-BASED MVDR BEAMFORMER FOR NOISY MULTISOURCE ENVIRONMENTS: INTRODUCTION OF TIME-VARYING SPATIAL COVARIANCE MODEL
Yuki Kubo, Tomohiro Nakatani, Marc Delcroix, Keisuke Kinoshita, Shoko Araki, NTT Corporation, Japan

SLP-P19.4: DENSELY CONNECTED NETWORK WITH TIME-FREQUENCY DILATED CONVOLUTION FOR SPEECH ENHANCEMENT
Yaxing Li, Xiaoqi Li, Yuanjie Dong, Meng Li, Shan Xu, Shengwu Xiong, Wuhan University of Technology, China

SLP-P19.5: COMPLEX SPECTRAL MAPPING WITH A CONVOLUTIONAL RECURRENT NETWORK FOR MONAURAL SPEECH ENHANCEMENT
Ke Tan, DeLiang Wang, The Ohio State University, United States

SLP-P19.6: A SPECTRAL-CHANGE-AWARE LOSS FUNCTION FOR DNN-BASED SPEECH SEPARATION
Xiang Li, Xihong Wu, Jing Chen, Peking University, China

SLP-P19.7: TCNN: TEMPORAL CONVOLUTIONAL NEURAL NETWORK FOR REAL-TIME SPEECH ENHANCEMENT IN THE TIME DOMAIN
Ashutosh Pandey, DeLiang Wang, The Ohio State University, United States

SLP-P19.8: LINEAR PREDICTION-BASED PART-DEFINED AUTO-ENCODER USED FOR SPEECH ENHANCEMENT
Zihao Cui, Changchun Bao, Beijing University of Technology, China

SLP-P19.9: EXPLORING DEEP COMPLEX NETWORKS FOR COMPLEX SPECTROGRAM ENHANCEMENT
Ashutosh Pandey, DeLiang Wang, The Ohio State University, United States

SLP-P19.10: INCREASE APPARENT PUBLIC SPEAKING FLUENCY BY SPEECH AUGMENTATION
Sagnik Das, Nisha Gandhi, Tejas Naik, Roy Shilkrot, Stony Brook University, United States

SLP-P19.11: AN ATTENTION-BASED NEURAL NETWORK APPROACH FOR SINGLE CHANNEL SPEECH ENHANCEMENT
Xiang Hao, Changhao Shan, Northwestern Polytechnical University, China; Yong Xu, Tencent, China; Sining Sun, Lei Xie, Northwestern Polytechnical University, China

SLP-P19.12: FACE LANDMARK-BASED SPEAKER-INDEPENDENT AUDIO-VISUAL SPEECH ENHANCEMENT IN MULTI-TALKER ENVIRONMENTS
Giovanni Morrone, University of Modena and Reggio Emilia, Italy; Luca Pasa, Vadim Tikhanoff, Istituto Italiano di Tecnologia, Italy; Sonia Bergamaschi, University of Modena and Reggio Emilia, Italy; Luciano Fadiga, Leonardo Badino, Istituto Italiano di Tecnologia, Italy

SLP-P20: Speech Synthesis II

SLP-P20.1: INVESTIGATION OF ENHANCED TACOTRON TEXT-TO-SPEECH SYNTHESIS SYSTEMS WITH SELF-ATTENTION FOR PITCH ACCENT LANGUAGE
Yusuke Yasuda, Xin Wang, Shinji Takaki, Junichi Yamagishi, National Institute of Informatics, Japan

SLP-P20.2: ENHANCING HYBRID SELF-ATTENTION STRUCTURE WITH RELATIVE-POSITION-AWARE BIAS FOR SPEECH SYNTHESIS
Shan Yang, Northwestern Polytechnical University, China; Heng Lu, Shiying Kang, Tencent AI Lab, United States; Lei Xie, Northwestern Polytechnical University, China; Dong Yu, Tencent AI Lab, United States

SLP-P20.3: WAVEFORM GENERATION FOR TEXT-TO-SPEECH SYNTHESIS USING PITCH-SYNCHRONOUS MULTI-SCALE GENERATIVE ADVERSARIAL NETWORKS
Lauri Juvela, Bajibabu Bollepalli, Aalto University, Finland; Junichi Yamagishi, National Institute of Informatics, Japan; Paavo Alku, Aalto University, Finland

SLP-P20.4: INVESTIGATING CONTEXT FEATURES HIDDEN IN END-TO-END TTS
Kohki Mametani, Tsuneo Kato, Seiichi Yamamoto, Doshisha University, Japan

SLP-P20.5: CASTING TO CORPUS: SEGMENTING AND SELECTING SPONTANEOUS DIALOGUE FOR TTS WITH A CNN-LSTM SPEAKER-DEPENDENT BREATH DETECTOR
Éva Székely, Gustav Eje Henter, Joakim Gustafson, KTH Royal Institute of Technology, Sweden

SLP-P20.6: PHONEME DEPENDENT SPEAKER EMBEDDING AND MODEL FACTORIZATION FOR MULTI-SPEAKER SPEECH SYNTHESIS AND ADAPTATION
Ruibo Fu, Jianhua Tao, Zhengqi Wen, Yibin Zheng, CASIA, China

SLP-P20.7: END-TO-END CODE-SWITCHED TTS WITH MIX OF MONOLINGUAL RECORDINGS
Yuewen Cao, Xixin Wu, Songxiang Liu, Jianwei Yu, Xu Li, The Chinese University of Hong Kong, Hong Kong SAR of China; Zhiyong Wu, Tsinghua-CUHK Joint Research Center for Media Sciences, Technologies and Systems, China; Xunying Liu, Helen Meng, The Chinese University of Hong Kong, China

SLP-P20.8: SEMI-SUPERVISED TRAINING FOR IMPROVING DATA EFFICIENCY IN END-TO-END SPEECH SYNTHESIS
Yu-An Chung, Massachusetts Institute of Technology, United States; Yuxuan Wang, Google, Inc., United States; Wei-Ning Hsu, Massachusetts Institute of Technology, United States; Yu Zhang, RJ Skerry-Ryan, Google, Inc., United States

SLP-P20.9: LEARNING LATENT REPRESENTATIONS FOR STYLE CONTROL AND TRANSFER IN END-TO-END SPEECH SYNTHESIS
Ya-Jie Zhang, University of Science and Technology of China, China; Shifeng Pan, Lei He, Microsoft, China; Zhen-Hua Ling, University of Science and Technology of China, China

SLP-P20.10: MULTI-SPEAKER EMOTIONAL ACOUSTIC MODELING FOR CNN-BASED SPEECH SYNTHESIS
Heejin Choi, Sangjun Park, Jinuk Park, Minsoo Hahn, Korea Advanced Institute of Science and Technology, Korea (South)

SLP-P20.11: SINGING VOICE SYNTHESIS BASED ON GENERATIVE ADVERSARIAL NETWORKS
Yukiya Hono, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda, Nagoya Institute of Technology, Japan

SLP-P20.12: ENHANCED VIRTUAL SINGERS GENERATION BY INCORPORATING SINGING DYNAMICS TO PERSONALIZED TEXT-TO-SPEECH-TO-SINGING
Kantapon Kaewtip, Fernando Villavicencio, Fang-yu Kuo, Mark Harvilla, Iris Ouyang, Pierre Lanchantin, Oben Inc, United States

SLP-P20.13: INVESTIGATIONS OF REAL-TIME GAUSSIAN FFTNET AND PARALLEL WAVENET NEURAL VOCODERS WITH SIMPLE ACOUSTIC FEATURES
Takuma Okamoto, National Institute of Information and Communications Technology, Japan; Tomoki Toda, Nagoya University, Japan; Yoshinori Shiga, Hisashi Kawai, National Institute of Information and Communications Technology, Japan

SLP-P21: Speech Separation, Enhancement and Denoising

SLP-P21.1: COMPACT NETWORK FOR SPEAKERBEAM TARGET SPEAKER EXTRACTION
Marc Delcroix, NTT Corporation, Japan; Katerina Zmolikova, BUT, Czech Republic; Tsubasa Ochiai, Keisuke Kinoshita, Shoko Araki, Tomohiro Nakatani, NTT Corporation, Japan

SLP-P21.2: USING RECURRENCES IN TIME AND FREQUENCY WITHIN U-NET ARCHITECTURE FOR SPEECH ENHANCEMENT
Tomasz Grzywalski, StethoMe, Poland; Szymon Drgas, Poznan University of Technology, Poland

SLP-P21.3: A UNIFIED FRAMEWORK FOR NEURAL SPEECH SEPARATION AND EXTRACTION
Tsubasa Ochiai, Marc Delcroix, Keisuke Kinoshita, Atsunori Ogawa, Tomohiro Nakatani, NTT Communication Science Laboratories, Japan

SLP-P21.4: LOW-LATENCY SPEAKER-INDEPENDENT CONTINUOUS SPEECH SEPARATION
Takuya Yoshioka, Zhuo Chen, Changliang Liu, Xiong Xiao, Hakan Erdogan, Dimitrios Dimitriadis, Microsoft, United States

SLP-P21.5: FURCAX: END-TO-END MONAURAL SPEECH SEPARATION BASED ON DEEP GATED (DE)CONVOLUTIONAL NEURAL NETWORKS WITH ADVERSARIAL EXAMPLE TRAINING
Ziqiang Shi, Huibin Lin, Liu Liu, Rujie Liu, Fujitsu Research and Development Center, China; Shoji Hayakawa, Fujitsu Laboratories Ltd, Japan; Jiqing Han, Harbin Institute of Technology, China

SLP-P21.6: OPTIMIZATION OF SPEAKER EXTRACTION NEURAL NETWORK WITH MAGNITUDE AND TEMPORAL SPECTRUM APPROXIMATION LOSS
Chenglin Xu, Nanyang Technological University, Singapore; Wei Rao, National University of Singapore, Singapore; Eng Siong Chng, Nanyang Technological University, Singapore; Haizhou Li, National University of Singapore, Singapore

SLP-P21.7: SPEECH DENOISING BY PARAMETRIC RESYNTHESIS
Soumi Maiti, The Graduate Center, CUNY, United States; Michael I Mandel, Brooklyn College, CUNY, United States

SLP-P21.8: LEARNING TO DEQUANTIZE SPEECH SIGNALS BY PRIMAL-DUAL NETWORKS: AN APPROACH FOR ACOUSTIC SENSOR NETWORKS
Christoph Brauer, Ziyue Zhao, Dirk Lorenz, Tim Fingscheidt, Technische Universität Braunschweig, Germany

SLP-P21.9: ARTIFICIAL BANDWIDTH EXTENSION USING A CONDITIONAL GENERATIVE ADVERSARIAL NETWORK WITH DISCRIMINATIVE TRAINING
Jonas Sautter, Friedrich Faubel, Markus Buck, Nuance Communications, Germany; Gerhard Schmidt, Kiel University, Germany

SLP-P21.10: LATENT REPRESENTATION LEARNING FOR ARTIFICIAL BANDWIDTH EXTENSION USING A CONDITIONAL VARIATIONAL AUTO-ENCODER
Pramod Bachhav, Massimiliano Todisco, Nicholas Evans, Eurecom, France

SLP-P21.11: PERCEPTUALLY-MOTIVATED ENVIRONMENT-SPECIFIC SPEECH ENHANCEMENT
Jiaqi Su, Adam Finkelstein, Princeton University, United States; Zeyu Jin, Adobe Research, United States

SLP-P21.12: A DEEP LEARNING LOSS FUNCTION BASED ON THE PERCEPTUAL EVALUATION OF THE SPEECH QUALITY
Juan Manuel Martín-Doñas, Angel Manuel Gomez, University of Granada, Spain; Jose A. Gonzalez, University of Malaga, Spain; Antonio M. Peinado, University of Granada, Spain

SLP-P22: Speech Synthesis III

SLP-P22.1: DNN-BASED SPECTRAL ENHANCEMENT FOR NEURAL WAVEFORM GENERATORS WITH LOW-BIT QUANTIZATION
Yang Ai, Jing-Xuan Zhang, University of Science and Technology of China, China; Liang Chen, Anhui Science and Technology Research Institute, China; Zhen-Hua Ling, University of Science and Technology of China, China

SLP-P22.2: DNN-BASED SPEAKER-ADAPTIVE POSTFILTERING WITH LIMITED ADAPTATION DATA FOR STATISTICAL SPEECH SYNTHESIS SYSTEMS
Miraç Göksu Öztürk, Okan Ulusoy, Boğaziçi University, Turkey; Cenk Demiroglu, Özyeğin University, Turkey

SLP-P22.3: SELF-ATTENTION BASED PROSODIC BOUNDARY PREDICTION FOR CHINESE SPEECH SYNTHESIS
Chunhui Lu, Pengyuan Zhang, Yonghong Yan, Institute of Acoustics, Chinese Academy of Sciences, China

SLP-P22.4: AN END-TO-END NETWORK TO SYNTHESIZE INTONATION USING A GENERALIZED COMMAND RESPONSE MODEL
François Marelli, Bastian Schnell, Hervé Bourlard, Idiap Research Institute, Switzerland; Thierry Dutoit, Université de Mons, Belgium; Philip N. Garner, Idiap Research Institute, Switzerland

SLP-P22.5: SPEECH WAVEFORM RECONSTRUCTION USING CONVOLUTIONAL NEURAL NETWORKS WITH NOISE AND PERIODIC INPUTS
Oliver Watts, Cassia Valentini-Botinhao, Simon King, Edinburgh University, United Kingdom

SLP-P22.6: IMPLEMENTING PROSODIC PHRASING IN CHINESE END-TO-END SPEECH SYNTHESIS
Yanfeng Lu, Minghui Dong, Institute for Infocomm Research, Singapore; Ying Chen, Nanjing University of Science and Technology, China

SLP-P22.7: QUASI-FULLY CONVOLUTIONAL NEURAL NETWORK WITH VARIATIONAL INFERENCE FOR SPEECH SYNTHESIS
Mu Wang, Tsinghua University, China; Xixin Wu, The Chinese University of Hong Kong, China; Zhiyong Wu, Tsinghua University, China; Shiyin Kang, Deyi Tuo, Guangzhi Li, Dan Su, Dong Yu, Tencent, China; Helen Meng, The Chinese University of Hong Kong, China

SLP-P22.8: STFT SPECTRAL LOSS FOR TRAINING A NEURAL SPEECH WAVEFORM MODEL
Shinji Takaki, National Institute of Informatics, Japan; Toru Nakashika, The University of Electro-Communications, Japan; Xin Wang, Junichi Yamagishi, National Institute of Informatics, Japan

SLP-P22.9: GENERATIVE MOMENT MATCHING NETWORK-BASED RANDOM MODULATION POST-FILTER FOR DNN-BASED SINGING VOICE SYNTHESIS AND NEURAL DOUBLE-TRACKING
Hiroki Tamaru, Yuki Saito, Shinnosuke Takamichi, The University of Tokyo, Japan; Tomoki Koriyama, Tokyo Institute of Technology, Japan; Hiroshi Saruwatari, The University of Tokyo, Japan

SLP-P22.10: EFFECT OF DATA REDUCTION ON SEQUENCE-TO-SEQUENCE NEURAL TTS
Javier Latorre, Jakub Lachowicz, Jaime Lorenzo-Trueba, Thomas Merritt, Thomas Drugman, Srikanth Ronanki, Viacheslav Klimkov, Amazon, United Kingdom

SLP-P23: End-to-end Speech Recognition V: Modeling Methods

SLP-P23.1: END-TO-END SPEECH RECOGNITION USING A HIGH RANK LSTM-CTC BASED MODEL
Yangyang Shi, Mei-Yuh Hwang, Xin Lei, Mobvoi AI Lab, United States

SLP-P23.2: INVESTIGATION OF MODELING UNITS FOR MANDARIN SPEECH RECOGNITION USING DFSMN-CTC-SMBR
Shiliang Zhang, Ming Lei, Yuan Liu, Wei Li, Machine Intelligence Technology, Alibaba Group, China

SLP-P23.3: END-TO-END ANCHORED SPEECH RECOGNITION
Yiming Wang, Johns Hopkins University, United States; Xing Fan, I-Fan Chen, Yuzong Liu, Amazon, United States; Tongfei Chen, Johns Hopkins University, United States; Björn Hoffmeister, Amazon, United States

SLP-P23.4: THE SPEECHTRANSFORMER FOR LARGE-SCALE MANDARIN CHINESE SPEECH RECOGNITION
Yuanyuan Zhao, Jie Li, Xiaorui Wang, Yan Li, Kwai, China

SLP-P23.5: WINDOWED ATTENTION MECHANISMS FOR SPEECH RECOGNITION
Shucong Zhang, Erfan Loweimi, Peter Bell, Steve Renals, University of Edinburgh, United Kingdom

SLP-P23.6: STREAM ATTENTION-BASED MULTI-ARRAY END-TO-END SPEECH RECOGNITION
Xiaofei Wang, Ruizhi Li, Johns Hopkins University, United States; Sri Harish Mallidi, Amazon, United States; Takaaki Hori, Mitsubishi Electric Research Laboratories, United States; Shinji Watanabe, Hynek Hermansky, Johns Hopkins University, United States

SLP-P23.7: IMPROVING END-TO-END SPEECH RECOGNITION WITH PRONUNCIATION-ASSISTED SUB-WORD MODELING
Hainan Xu, Shuoyang Ding, Shinji Watanabe, Johns Hopkins University, United States

SLP-P23.8: SELF-ATTENTION NETWORKS FOR CONNECTIONIST TEMPORAL CLASSIFICATION IN SPEECH RECOGNITION
Julian Salazar, Katrin Kirchhoff, Zhiheng Huang, Amazon AI, United States

SLP-P23.9: SEMANTIC QUERY-BY-EXAMPLE SPEECH SEARCH USING VISUAL GROUNDING
Herman Kamper, Aristotelis Anastassiou, Stellenbosch University, South Africa; Karen Livescu, TTI-Chicago, United States

SLP-P24: Speech Coding and Perception

SLP-P24.1: NON-INTRUSIVE SPEECH QUALITY ASSESSMENT FOR SUPER-WIDEBAND SPEECH COMMUNICATION NETWORKS
Gabriel Mittag, Sebastian Möller, TU Berlin, Germany

SLP-P24.2: DENOISING CONVOLUTIONAL AUTOENCODER BASED B-MODE ULTRASOUND TONGUE IMAGE FEATURE EXTRACTION
Bo Li, Beijing University of Posts and Telecommunications, China; Kele Xu, Dawei Feng, Haibo Mi, Huaimin Wang, National University of Defense Technology, China; Jian Zhu, University of Michigan, China

SLP-P24.3: ANALYZING HUMAN REACTION TIME FOR TALKER CHANGE DETECTION
Neeraj Sharma, Carnegie Mellon University, United States; Shobhana Ganesh, Sriram Ganapathy, Indian Institute of Science, Bangalore, India; Lori L. Holt, Carnegie Mellon University, United States

SLP-P24.4: CROSS-LANGUAGE SPEECH DEPENDENT LIP-SYNCHRONIZATION
Abhishek Jha, IIIT Hyderabad, India; Vikram Voleti, Universit ́e de Montr ́eal, India; Vinay P. Namboodiri, Indian Institute of Technology Kanpur, India; C. V. Jawahar, IIIT Hyderabad, India

SLP-P24.5: SPEAKER-DEPENDENT WAVENET-BASED DELAY-FREE ADPCM SPEECH CODING
Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda, Nagoya Institute of Technology, Japan

SLP-P24.6: A DETERMINISTIC ANNEALING APPROACH TO SWITCHED PREDICTOR DESIGN FOR ADAPTIVE COMPRESSION SYSTEMS
Bharath Vishwanath, Tejaswi Nanjundaswamy, Kenneth Rose, University of California, Santa Barbara, United States

SLP-P24.7: HIGH-QUALITY SPEECH CODING WITH SAMPLE RNN
Janusz Klejsa, Per Hedelin, Dolby Sweden AB, Sweden; Cong Zhou, Roy Fejgin, Dolby Laboratories, United States; Lars Villemoes, Dolby Sweden AB, Sweden

SLP-P24.8: A SPECTRAL GLOTTAL FLOW MODEL FOR SOURCE-FILTER SEPARATION OF SPEECH
Olivier Perrotin, Université Grenoble Alpes, CNRS, Grenoble INP, France; Ian McLoughlin, University of Kent, United Kingdom

SLP-P24.9: INTEGRATING SPECTROTEMPORAL CONTEXT INTO FEATURES BASED ON AUDITORY PERCEPTION FOR CLASSIFICATION-BASED SPEECH SEPARATION
Xiang Li, Xihong Wu, Jing Chen, Peking University, China

HLT-L1: Applications: Translation, Summarization, QA

HLT-L1.1: TOWARDS UNSUPERVISED SPEECH-TO-TEXT TRANSLATION
Yu-An Chung, Wei-Hung Weng, Schrasing Tong, James Glass, Massachusetts Institute of Technology, United States

HLT-L1.2: TOWARDS END-TO-END SPEECH-TO-TEXT TRANSLATION WITH TWO-PASS DECODING
Tzu-Wei Sung, Jun-You Liu, Hung-Yi Lee, Lin-Shan Lee, National Taiwan University, Taiwan

HLT-L1.3: LEVERAGING WEAKLY SUPERVISED DATA TO IMPROVE END-TO-END SPEECH-TO-TEXT TRANSLATION
Ye Jia, Melvin Johnson, Wolfgang Macherey, Ron J. Weiss, Yuan Cao, Chung-Cheng Chiu, Naveen Ari, Stella Laurenzo, Yonghui Wu, Google, Inc., United States

HLT-L1.4: A HIERARCHICAL NEURAL SUMMARIZATION FRAMEWORK FOR SPOKEN DOCUMENTS
Tzu-En Liu, National Taiwan Normal University, Taiwan; Shih-Hung Liu, Delta Management System, Taiwan; Berlin Chen, National Taiwan Normal University, Taiwan

HLT-L1.5: ILP-BASED COMPRESSIVE SPEECH SUMMARIZATION WITH CONTENT WORD COVERAGE MAXIMIZATION AND ITS ORACLE PERFORMANCE ANALYSIS
Atsunori Ogawa, Tsutomu Hirao, Tomohiro Nakatani, Masaaki Nagata, NTT Corporation, Japan

HLT-L1.6: SLIQA-I: TOWARDS COLD-START DEVELOPMENT OF END-TO-END SPOKEN LANGUAGE INTERFACE FOR QUESTION ANSWERING
Yilin Shen, Yu Wang, Abhishek Patel, Hongxia Jin, Samsung Research America, United States

HLT-L2: Dialogue

HLT-L2.1: DYNAMICALLY CONTEXT-SENSITIVE TIME-DECAY ATTENTION FOR DIALOGUE MODELING
Shang-Yu Su, Pei-Chieh Yuan, Yun-Nung Chen, National Taiwan University, Taiwan

HLT-L2.2: CONTEXTUAL OUT-OF-DOMAIN UTTERANCE HANDLING WITH COUNTERFEIT DATA AUGMENTATION
Sungjin Lee, Microsoft Research, United States; Igor Shalyminov, Heriot-Watt University, United Kingdom

HLT-L2.3: CURIOSITY-DRIVEN REINFORCEMENT LEARNING FOR DIALOGUE MANAGEMENT
Paula Wesselmann, Yen-Chen Wu, Cambridge University, United Kingdom; Milica Gašić, Saarland University, Germany

HLT-L2.4: CONDITION-TRANSFORMING VARIATIONAL AUTOENCODER FOR CONVERSATION RESPONSE GENERATION
Yu-Ping Ruan, Zhen-Hua Ling, National Engineering Laboratory for Speech and Language Information Processing, University of Science and Technology of China, China; Quan Liu, Zhi-Gang Chen, iFLYTEK Research, China; Nitin Indurkhya, National Engineering Laboratory for Speech and Language Information Processing, University of Science and Technology of China, China

HLT-L2.5: DIALOGUE STATE TRACKING WITH CONVOLUTIONAL SEMANTIC TAGGERS
Mandy Korpusik, James Glass, Massachusetts Institute of Technology, United States

HLT-L2.6: LEARNING COMMENT GENERATION BY LEVERAGING USER-GENERATED DATA
Zhaojiang Lin, Genta Indra Winata, Pascale Fung, Hong Kong University of Science and Technology, Hong Kong SAR of China

HLT-P1: Language modeling, ASR and Punctuation Prediction

HLT-P1.1: KNOWLEDGE DISTILLATION FOR RECURRENT NEURAL NETWORK LANGUAGE MODELING WITH TRUST REGULARIZATION
Yangyang Shi, Mei-Yuh Hwang, Xin Lei, Mobvoi AI Lab, United States; Haoyu Sheng, Williams College, United States

HLT-P1.2: GAUSSIAN PROCESS LSTM RECURRENT NEURAL NETWORK LANGUAGE MODELS FOR SPEECH RECOGNITION
Max W. Y. Lam, Chinese University of Hong Kong, Hong Kong SAR of China; Xie Chen, Microsoft, United States; Shoukang Hu, Jianwei Yu, Xunying Liu, Helen Meng, Chinese University of Hong Kong, Hong Kong SAR of China

HLT-P1.3: INVESTIGATION OF SAMPLING TECHNIQUES FOR MAXIMUM ENTROPY LANGUAGE MODELING TRAINING
Xie Chen, Jun Zhang, Tasos Anastasakos, Fil Alleva, Microsoft, United States

HLT-P1.4: IMPROVEMENTS TO N-GRAM LANGUAGE MODEL USING TEXT GENERATED FROM NEURAL LANGUAGE MODEL
Masayuki Suzuki, Nobuyasu Itoh, Tohru Nagano, Gakuto Kurata, Samuel Thomas, IBM, Japan

HLT-P1.5: A UNIFIED FRAMEWORK FOR FEATURE-BASED DOMAIN ADAPTATION OF NEURAL NETWORK LANGUAGE MODELS
Michael Hentschel, Nara Institute of Science and Technology, Japan; Marc Delcroix, Atsunori Ogawa, Tomoharu Iwata, Tomohiro Nakatani, NTT Communication Science Laboratories, Japan

HLT-P1.6: IMPROVING SPEECH RECOGNITION ERROR PREDICTION FOR MODERN AND OFF-THE-SHELF SPEECH RECOGNIZERS
Prashant Serai, Peidong Wang, Eric Fosler-Lussier, The Ohio State University, United States

HLT-P1.7: RECURRENT NEURAL NETWORK LANGUAGE MODEL TRAINING USING NATURAL GRADIENT
Jianwei Yu, Max W. Y. Lam, the Chinese University of Hong Kong, Hong Kong SAR of China; Xie Chen, Microsoft AI and Research, Hong Kong SAR of China; Shoukang Hu, Songxiang Liu, Xixin Wu, Xunying Liu, Helen Meng, the Chinese University of Hong Kong, Hong Kong SAR of China

HLT-P1.8: CONTEXT-AWARE NEURAL-BASED DIALOG ACT CLASSIFICATION ON AUTOMATICALLY GENERATED TRANSCRIPTIONS
Daniel Ortega, Chia-Yu Li, Gisela Vallejo, Pavel Denisov, Ngoc Thang Vu, University of Stuttgart, Germany

HLT-P1.9: SELF-ATTENTION BASED MODEL FOR PUNCTUATION PREDICTION USING WORD AND SPEECH EMBEDDINGS
Jiangyan Yi, Jianhua Tao, Institute of Automation, Chinese Academy of Sciences, China

HLT-P1.10: EMPIRICAL EVALUATION AND COMBINATION OF PUNCTUATION PREDICTION MODELS APPLIED TO BROADCAST NEWS
Alexandre Nanchen, Philip N. Garner, Idiap Research Institute, Switzerland

HLT-P1.11: DEEP RECURRENT NEURAL NETWORKS WITH LAYER-WISE MULTI-HEAD ATTENTIONS FOR PUNCTUATION RESTORATION
Seokhwan Kim, Adobe Research, United States

HLT-P2: Topic Modeling and Dialog

HLT-P2.1: TOPIC DETECTION IN CONVERSATIONAL TELEPHONE SPEECH USING CNN WITH MULTI-STREAM INPUTS
Jian Sun, Wu Guo, Zhi Chen, Yan Song, University of Science and Technology of China, China

HLT-P2.2: WHY DO NEURAL DIALOG SYSTEMS GENERATE SHORT AND MEANINGLESS REPLIES? A COMPARISON BETWEEN DIALOG AND TRANSLATION
Bolin Wei, Shuai Lu, Peking University, China; Lili Mou, University of Waterloo, Canada; Hao Zhou, Toutiao AI Lab, China; Pascal Poupart, University of Waterloo, Canada; Ge Li, Zhi Jin, Peking University, China

HLT-P2.3: DEEP HYBRID NETWORKS BASED RESPONSE SELECTION FOR MULTI-TURN DIALOGUE SYSTEMS
Xishuo Li, Lijun Zhang, Wenge Rong, Baiwen Li, Qi Li, Beihang University, China

HLT-P2.4: MITIGATING THE IMPACT OF SPEECH RECOGNITION ERRORS ON SPOKEN QUESTION ANSWERING BY ADVERSARIAL DOMAIN ADAPTATION
Chia-Hsuan Lee, Yun-Nung Chen, Hung-Yi Lee, National Taiwan University, Taiwan

HLT-P2.5: A HIERARCHICAL DECODING MODEL FOR SPOKEN LANGUAGE UNDERSTANDING FROM UNALIGNED DATA
Zijian Zhao, Su Zhu, Kai Yu, Shanghai Jiao Tong University, China

HLT-P2.6: EXPLORING ATTENTION MECHANISM FOR ACOUSTIC-BASED CLASSIFICATION OF SPEECH UTTERANCES INTO SYSTEM-DIRECTED AND NON-SYSTEM-DIRECTED
Atta Norouzian, Nuance Communications, Canada; Bogdan Mazoure, McGill University, Canada; Dermot Connolly, Daniel Willett, Nuance Communications, Germany

HLT-P2.7: INVESTIGATING THE EFFECTS OF WORD SUBSTITUTION ERRORS ON SENTENCE EMBEDDINGS
Rohit Voleti, Julie Liss, Visar Berisha, Arizona State University, United States

HLT-P2.8: IMPROVING HUMAN-COMPUTER INTERACTION IN LOW-RESOURCE SETTINGS WITH TEXT-TO-PHONETIC DATA AUGMENTATION
Adam Stiff, Prashant Serai, Eric Fosler-Lussier, The Ohio State University, United States

HLT-P2.9: A NOVEL REPETITION NORMALIZED ADVERSARIAL REWARD FOR HEADLINE GENERATION
Peng Xu, Pascale Fung, The Hong Kong University of Science and Technology, Hong Kong SAR of China

HLT-P2.10: ROLE SPECIFIC LATTICE RESCORING FOR SPEAKER ROLE RECOGNITION FROM SPEECH RECOGNITION OUTPUTS
Nikolaos Flemotomos, Panayiotis Georgiou, University of Southern California, United States; David Atkins, University of Washington, United States; Shrikanth Narayanan, University of Southern California, United States

HLT-P3: Machine Learning for Understanding

HLT-P3.1: TOWARDS BETTER CONFIDENCE ESTIMATION FOR NEURAL MODELS
Vishal Thanvantri Vasudevan, University of California, San Diego, United States; Abhinav Sethy, Alireza Roshan Ghias, Amazon, United States

HLT-P3.2: WEST: WORD ENCODED SEQUENCE TRANSDUCERS
Ehsan Variani, Ananda Theertha Suresh, Mitch Weintraub, Senior Research Scientist, United States

HLT-P3.3: UNIVERSAL ADVERSARIAL ATTACKS ON TEXT CLASSIFIERS
Melika Behjati, Sharif University of Technology, Iran; Seyed-Mohsen Moosavi-Dezfooli, École Polytechnique Fédérale de Lausanne, Switzerland; Mahdieh Soleymani Baghshah, Sharif University of Technology, Iran; Pascal Frossard, École Polytechnique Fédérale de Lausanne, Switzerland

HLT-P3.4: SEQUENTIAL MATCHING MODEL FOR END-TO-END MULTI-TURN RESPONSE SELECTION
Qian Chen, Wen Wang, Machine Intelligence Technology, Alibaba Group, China

HLT-P3.5: AUDIO-LINGUISTIC EMBEDDINGS FOR SPOKEN SENTENCES
Albert Haque, Michelle Guo, Prateek Verma, Li Fei-Fei, Stanford University, United States

HLT-P3.6: LEARNING MOTION DISFLUENCIES FOR AUTOMATIC SIGN LANGUAGE SEGMENTATION
Iva Farag, Saarland University, Germany; Heike Brock, Honda Research Institute Japan, Japan

HLT-P3.7: QUESTION ANSWERING FOR SPOKEN LECTURE PROCESSING
Merve Unlu, Galatasaray University / Bogazici University, Turkey; Ebru Arisoy, MEF University, Turkey; Murat Saraclar, Boğaziçi University, Turkey

HLT-P3.8: GENERATING PSEUDO-RELEVANT REPRESENTATIONS FOR SPOKEN DOCUMENT RETRIEVAL
Zheng-Yu Wu, Li-Phen Yen, Kuan-Yu Chen, National Taiwan University of Science and Technology, Taiwan

HLT-P3.9: USING DEEP-Q NETWORK TO SELECT CANDIDATES FROM N-BEST SPEECH RECOGNITION HYPOTHESES FOR ENHANCING DIALOGUE STATE TRACKING
Richard Tzong-Han Tsai, Chia-Hao Chen, National Central University, Taiwan; Chun-Kai Wu, National Tsing Hua University, Taiwan; Yu-Cheng Hsiao, National Central University, Taiwan; Hung-Yi Lee, National Taiwan University, Taiwan

HLT-P4: Training regimes for Emotion and Sentiment Analysis

HLT-P4.1: DATA AUGMENTATION FOR LOW RESOURCE SENTIMENT ANALYSIS USING GENERATIVE ADVERSARIAL NETWORKS
Rahul Gupta, Amazon, United States

HLT-P4.2: CAN WE PREDICT SELF-REPORTED CUSTOMER SATISFACTION FROM INTERACTIONS?
Jeremy Auguste, Aix Marseille Université, France; Delphine Charlet, Géraldine Damnati, Orange Labs, France; Frederic Bechet, Benoit Favre, Aix Marseille Université, France

HLT-P4.3: IMPROVING SPEECH EMOTION RECOGNITION WITH UNSUPERVISED REPRESENTATION LEARNING ON UNLABELED SPEECH
Michael Neumann, Ngoc Thang Vu, University of Stuttgart, Germany

HLT-P4.4: ADVERSARIALLY-ENRICHED ACOUSTIC CODE VECTOR LEARNED FROM OUT-OF-CONTEXT AFFECTIVE CORPUS FOR ROBUST EMOTION RECOGNITION
Chun-Min Chang, Chi-Chun Lee, National Tsing Hua University, Taiwan

HLT-P4.5: RETRIEVING SPEECH SAMPLES WITH SIMILAR EMOTIONAL CONTENT USING A TRIPLET LOSS FUNCTION
John Harvill, Mohammed AbdelWahab, Reza Lotfian, Carlos Busso, The University of Texas at Dallas, United States

HLT-P4.6: LEARNING DISCRIMINATIVE FEATURES FROM SPECTROGRAMS USING CENTER LOSS FOR SPEECH EMOTION RECOGNITION
Dongyang Dai, Zhiyong Wu, Runnan Li, Tsinghua University, China; Xixin Wu, The Chinese University of Hong Kong, China; Jia Jia, Tsinghua University, China; Helen Meng, The Chinese University of Hong Kong, China

HLT-P4.7: IMPROVING EMOTION CLASSIFICATION THROUGH VARIATIONAL INFERENCE OF LATENT VARIABLES
Srinivas Parthasarathy, University of Texas at Dallas, United States; Viktor Rozgic, Ming Sun, Chao Wang, Amazon Alexa, United States

HLT-P4.8: MUSE-ING ON THE IMPACT OF UTTERANCE ORDERING ON CROWDSOURCED EMOTION ANNOTATIONS
Mimansa Jaiswal, Zakaria Aldeneh, Cristian-Paul Bara, Yuanhang Luo, University of Michigan - Ann Arbor, United States; Mihai Burzo, University of Michigan - Flint, United States; Rada Mihalcea, Emily Mower Provost, University of Michigan - Ann Arbor, United States

HLT-P4.9: NN-BASED ORDINAL REGRESSION FOR ASSESSING FLUENCY OF ESL SPEECH
Shaoguang Mao, Zhiyong Wu, Tsinghua University, China; Jingshuai Jiang, Peiyun Liu, Frank K. Soong, Microsoft, China

HLT-P4.10: SELL-CORPUS: AN OPEN SOURCE MULTIPLE ACCENTED CHINESE-ENGLISH SPEECH CORPUS FOR L2 ENGLISH LEARNING ASSESSMENT
Yu Chen, Jun Hu, Xinyu Zhang, East China Normal University, China

HLT-P4.11: L2 LEARNERS’ EMOTION PRODUCTION IN VIDEO DUBBING PRACTICES
Lei Chen, Cheng Chang, Cheng Zhang, Huan Luan, Jiawen Luo, Ge Guo, Xiaofei Yang, Yang Liu, Liulishuo, United States

HLT-P4.12: AUTOMATIC ASSESSMENT OF SPOKEN LANGUAGE PROFICIENCY OF NON-NATIVE CHILDREN
Roberto Gretter, Marco Matassoni, Katharina Allgaier, Svetlana Tchistiakova, Daniele Falavigna, Fondazione Bruno Kessler, Italy

BD-L1: Signal Processing Methods for Big Data

BD-L1.1: MEDIAN ACTIVATION FUNCTIONS FOR GRAPH NEURAL NETWORKS
Luana Ruiz, Fernando Gama, University of Pennsylvania, United States; Antonio G. Marques, Universidad Rey Juan Carlos, Spain; Alejandro Ribeiro, University of Pennsylvania, United States

BD-L1.2: IMPROVED ESTIMATION OF THE DISTANCE BETWEEN COVARIANCE MATRICES
Malik Tiomoko, University of Paris Saclay, France; Romain Couillet, Gipsa-Lab/ Centrale-Supélec, France; Eric Moisan, Steeve Zozor, Gipsa-Lab, France

BD-L1.3: FAST AND COMMUNICATION-EFFICIENT DISTRIBUTED PCA
Arpita Gang, Haroon Raja, Waheed U. Bajwa, Rutgers University, United States

BD-L1.4: SPARSE SUBSPACE CLUSTERING FOR EVOLVING DATA STREAMS
Jinping Sui, College of Electronic Science, National University of Defense Technology, China; Zhen Liu, Li Liu, National University of Defense Technology, China; Alexander Jung, Aalto University, Finland; Tianpeng Liu, Bo Peng, Xiang Li, National University of Defense Technology, China

BD-L1.5: PLIABLE DATA SHUFFLING FOR ON-DEVICE DISTRIBUTED LEARNING
Tao Jiang, Kai Yang, Yuanming Shi, ShanghaiTech University, China

BD-L1.6: FROM GENE EXPRESSION TO DRUG RESPONSE: A COLLABORATIVE FILTERING APPROACH
Cheng Qian, Nicholas D. Sidiropoulos, Magda Amiridi, University of Virginia, United States; Amin Emad, McGill University, Canada

BD-P1: Optimization and Algorithms for Big Data

BD-P1.1: ITERATIVE HESSIAN SKETCH WITH MOMENTUM
Ibrahim Kurban Ozaslan, Bilkent University, Turkey; Mert Pilanci, Stanford University, United States; Orhan Arikan, Bilkent University, Turkey

BD-P1.2: LOW-RANK MATRIX APPROXIMATION BASED ON INTERMINGLED RANDOMIZED DECOMPOSITION
Maboud Kaloorazi, Jie Chen, Northwestern Polytechnical University, China

BD-P1.3: KERNEL RANDOM MATRICES OF LARGE CONCENTRATED DATA: THE EXAMPLE OF GAN-GENERATED IMAGES
Mohamed El Amine Seddik, Mohamed Tamaazousti, CEA List, France; Romain Couillet, GIPSA-lab - Grenoble University, France

BD-P1.4: BLOCK-RANDOMIZED STOCHASTIC PROXIMAL GRADIENT FOR CONSTRAINED LOW-RANK TENSOR FACTORIZATION
Xiao Fu, Cheng Gao, Oregon State University, United States; Hoi-To Wai, The Chinese University of Hong Kong, Hong Kong SAR of China; Kejun Huang, University of Florida, United States

BD-P1.5: CANONICAL POLYADIC DECOMPOSITION OF A TENSOR THAT HAS MISSING FIBERS: A MONOMIAL FACTORIZATION APPROACH
Mikael Sorensen, Nicholas D. Sidiropoulos, University of Virginia, United States; Lieven De Lathauwer, KU Leuven, Belgium

BD-P1.6: SCALABLE GAUSSIAN PROCESS USING INEXACT ADMM FOR BIG DATA
Yue Xu, Beijing University of Posts and Telecommunications, China; Feng Yin, Jiawei Zhang, The Chinese University of Hong Kong, Shenzhen and SRIBD, China; Wenjun Xu, Beijing University of Posts and Telecommunications, China; Shuguang Cui, University of California, Davis; The Chinese University of Hong Kong, Shenzhen and SRIBD, United States; Zhi-Quan Luo, The Chinese University of Hong Kong, Shenzhen and SRIBD, China

BD-P1.7: CONSTRUCTING AND COMPRESSING FRAMES IN BLOCKCHAIN-BASED VERIFIABLE MULTI-PARTY COMPUTATION
Ravi Kiran Raman, University of Illinois at Urbana-Champaign, United States; Kush Varshney, Roman Vaculin, Nelson Kibichii Bore, Sekou Remy, Eleftheria Pissadaki, Michael Hind, IBM Research, United States

BD-P1.8: PROVABLY ACCELERATED RANDOMIZED GOSSIP ALGORITHMS
Nicolas Loizou, The University of Edinburgh, United Kingdom; Michael Rabbat, Facebook AI Research, Canada; Peter Richtarik, The Univeristy of Edinburgh, United Kingdom

BD-P1.9: COMPRESSED RANDOMIZED UTV DECOMPOSITIONS FOR LOW-RANK MATRIX APPROXIMATIONS IN DATA SCIENCE
Maboud Kaloorazi, PUC-Rio, Brazil; Rodrigo C. de Lamare, PUC-Rio / University of York, Brazil

BD-P1.10: DETECTION OF ROW-SPARSE MATRICES WITH ROW-STRUCTURE CONSTRAINTS
David Gregoratti, Carlos Buelga, Xavier Mestre, Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), Spain

BD-P2: Big Data Processing over Graphs

BD-P2.1: ROBUST GRAPH SIGNAL SAMPLING
Basak Guler, Ajinkya Jayawant, A. Salman Avestimehr, Antonio Ortega, University of Southern California, United States

BD-P2.2: A WINDOWED DIGRAPH FOURIER TRANSFORM
Rasoul Shafipour, University of Rochester, United States; Ali Khodabakhsh, University of Texas at Austin, United States; Gonzalo Mateos, University of Rochester, United States

BD-P2.3: NODE-ASYNCHRONOUS IMPLEMENTATION OF RATIONAL FILTERS ON GRAPHS
Oguzhan Teke, P. P. Vaidyanathan, California Institute of Technology, United States

BD-P2.4: MATRIX COMPLETION WITH VARIATIONAL GRAPH AUTOENCODERS: APPLICATION IN HYPERLOCAL AIR QUALITY INFERENCE
Tien Huu Do, Duc Minh Nguyen, Evaggelia Tsiligianni, Vrije Universiteit Brussel, Belgium; Angel Lopez Aguirre, Ghent University, Belgium; Valerio Panzica La Manna, Frank Pasveer, imec, Netherlands; Wilfried Philips, Ghent University, Belgium; Nikos Deligiannis, Vrije Universiteit Brussel, Belgium

BD-P2.5: INCORPORATE USER REPRESENTATION FOR PERSONAL QUESTION ANSWER SELECTION USING SIAMESE NETWORK
Zihao Qi, Dario Bertero, Ian Wood, Pascale Fung, Center for AI Research (CAiRE), Hong Kong SAR of China

BD-P2.6: DEEP TEMPORAL LOGISTIC BAG-OF-FEATURES FOR FORECASTING HIGH FREQUENCY LIMIT ORDER BOOK TIME SERIES
Nikolaos Passalis, Anastasios Tefas, Aristotle University of Thessaloniki, Greece; Juho Kanniainen, Moncef Gabbouj, Tampere University of Technology, Finland; Alexandros Iosifidis, Aarhus University, Denmark

BD-P2.7: LONG TEXT ANALYSIS USING SLICED RECURRENT NEURAL NETWORKS WITH BREAKING POINT INFORMATION ENRICHMENT
Bo Li, Zehua Cheng, Zhenghua Xu, Hebei University of Technology, China; Wei Ye, Peking University, China; Thomas Lukasiewicz, University of Oxford, United Kingdom; Shikun Zhang, Peking University, China

BD-P2.8: CROWNN: HUMAN-IN-THE-LOOP NETWORK WITH CROWD-GENERATED INPUTS
Yusuke Sakata, Kyoto University, Japan; Yukino Baba, University of Tsukuba, Japan; Hisashi Kashima, Kyoto University / RIKEN Center for AIP, Japan

BD-P2.9: ATTENTION-BASED GRAPH CONVOLUTIONAL NETWORK FOR RECOMMENDATION SYSTEM
Chenyuan Feng, Zuozhu Liu, Shaowei Lin, Tony Q.S. Quek, Singapore University of Technology and Design, Singapore

IoT-P1: SP for IoT Poster Session 1

IoT-P1.1: FUSELOC: A CCA BASED INFORMATION FUSION FOR INDOOR LOCALIZATION USING CSI PHASE AND AMPLITUDE OF WIFI SIGNALS
Tahsina Farah Sanam, Hana Godrich, Rutgers University, United States

IoT-P1.2: BLUETOOTH BASED INDOOR LOCALIZATION USING TRIPLET EMBEDDINGS
Karel Mundnich, Benjamin Girault, Shrikanth Narayanan, University of Southern California, United States

IoT-P1.3: LOW-COMPLEXITY COMPRESSIVE ANALYSIS IN SUB-EIGENSPACE FOR ECG TELEMONITORING SYSTEM
Ching-Yao Chou, An-Yeu (Andy) Wu, National Taiwan University, Taiwan

IoT-P1.4: CHAINED COMPRESSED SENSING FOR IOT NODE SECURITY
Mauro Mangia, Alex Marchioni, University of Bologna, Italy; Fabio Pareschi, Politecnico di Torino, Italy; Riccardo Rovatti, University of Bologna, Italy; Gianluca Setti, Politecnico di Torino, Italy

IoT-P1.5: SUM THROUGHPUT MAXIMIZATION FOR MULTI-TAG MISO BACKSCATTERING
Deepak Mishra, Erik G. Larsson, Linköping University, Sweden

IoT-P1.6: TS-MC: TWO STAGE MATRIX COMPLETION ALGORITHM FOR WIRELESS SENSOR NETWORKS
Neha Jain, Anubha Gupta, Vivek Bohara, IIIT Delhi, India

IoT-P1.7: IN-CAR DRIVER AUTHENTICATION USING WIRELESS SENSING
Sai Deepika Regani, Qinyi Xu, Beibei Wang, Min Wu, K. J. Ray Liu, University of Maryland, College Park, United States

IoT-P1.8: A PRIVACY-PRESERVING DIFFUSION STRATEGY OVER MULTITASK NETWORKS
Chengcheng Wang, Wee Peng Tay, Yuan Wang, Nanyang Technological University, Singapore; Ye Wei, Harbin Engineering University, China

IoT-P2: SP for IoT Poster Session 2

IoT-P2.1: RECOGNITION OF ONLINE HANDWRITING WITH VARIABILITY ON SMART DEVICES
Guohua Ren, Viswanath Ganapathy, LG Electronics, United States

IoT-P2.2: CONVOLUTIONAL NEURAL NETWORK ON EMBEDDED PLATFORM FOR PEOPLE PRESENCE DETECTION IN LOW RESOLUTION THERMAL IMAGES
Gianmarco Cerutti, Rahul Prasad, Elisabetta Farella, Fondazione Bruno Kessler, Italy

IoT-P2.3: DISCOVERING OPTIMAL VARIABLE-LENGTH TIME SERIES MOTIFS IN LARGE-SCALE WEARABLE RECORDINGS OF HUMAN BIO-BEHAVIORAL SIGNALS
Tiantian Feng, Shrikanth Narayanan, Signal Analysis and Interpretation Lab, University of Southern California, United States

IoT-P2.4: REAL-TIME PREDICTION FOR FINE-GRAINED AIR QUALITY MONITORING SYSTEM WITH ASYNCHRONOUS SENSING
Zixuan Bai, Zhiwen Hu, Kaigui Bian, Lingyang Song, Peking University, China

IoT-P2.5: HUMAN BEHAVIOUR RECOGNITION USING WIFI CHANNEL STATE INFORMATION
Daanish Ali Khan, Saquib Razak, Bhiksha Raj, Rita Singh, Carnegie Mellon University, United States

IoT-P2.6: TOWARD ROBUST INTERPRETABLE HUMAN MOVEMENT PATTERN ANALYSIS IN A WORKPLACE SETTING
Brandon Booth, Tiantian Feng, Abhishek Jangalwa, Shrikanth Narayanan, University of Southern California, United States

IoT-P2.7: RECONSTRUCTION FOR SPATIALLY DISTRIBUTED SINGLE-PIXEL IMAGING BASED ON PATTERN FILERING
Yukihiro Tadokoro, Tatsuya Nobunaga, Hiroya Tanaka, Toyota Central R&D Lab., Inc., Japan

SPED-L1: Signal Processing for Education

SPED-L1.1: INTRODUCING UNDERGRADUATES TO PATTERN RECOGNITION AND MACHINE LEARNING THROUGH SPEECH PROCESSING
Ravi Ramachandran, Kevin Dahm, Nidhal Bouaynaya, Rowan University, United States

SPED-L1.2: SLEEP GESTURE DETECTION IN CLASSROOM MONITOR SYSTEM
Wen Li, Fei Jiang, Ruimin Shen, Shanghai Jiao Tong University, China

SPED-L1.3: COLLABORATION BETWEEN BORDEAUX-INP AND UTP, FROM RESEARCH TO EDUCATION, IN THE FIELD OF SIGNAL PROCESSING
Fernando Merchan, Hector Povéda, UTP, Panama; Eric Grivel, ENSEIRB-MATMECA, France

SPED-L1.4: AN EDUCATIONAL TOOL FOR HEARING AID COMPRESSION FITTING VIA A WEB-BASED ADJUSTED SMARTPHONE APP
Nasim Alamdari, Edward Lobarinas, Nasser Kehtarnavaz, University of Texas at Dallas, United States

SPED-L1.5: INTRODUCING MACHINE LEARNING IN UNDERGRADUATE DSP CLASSES
Uday Shankar Shanthamallu, Sunil Rao, Abhinav Dixit, Vivek Sivaraman Narayanaswamy, Jie Fan, Andreas Spanias, Arizona State University, United States

SPED-L1.6: TEACHING PRACTICAL DSP WITH OFF-THE-SHELF HARDWARE AND FREE SOFTWARE
Eric Bezzam, Adrien Hoffet, Paolo Prandoni, École Polytechnique Fédérale de Lausanne, Switzerland

CI-L1: CIM Lecture Session 1

CI-L1.1: REGULARIZED FOURIER PTYCHOGRAPHY USING AN ONLINE PLUG-AND-PLAY ALGORITHM
Yu Sun, Shiqi Xu, Washington University in St. Louis, United States; Yunzhe Li, Lei Tian, Boston University, United States; Brendt Wohlberg, Los Alamos National Laboratory, United States; Ulugbek Kamilov, Washington University in St. Louis, United States

CI-L1.2: PARALLEL COORDINATE DESCENT ALGORITHMS FOR SPARSE PHASE RETRIEVAL
Yang Yang, University of Luxembourg, Germany; Marius Pesavento, Technische Universität Darmstadt, Germany; Yonina C. Eldar, Technion - Israel Institute of Technology, Israel; Björn Ottersten, University of Luxembourg, Luxembourg

CI-L1.3: AN ALGORITHM UNROLLING APPROACH TO DEEP IMAGE DEBLURRING
Yuelong Li, Mohammad Tofighi, Vishal Monga, Pennsylvania State University, United States; Yonina C. Eldar, Technion - Israel Institute of Technology, Israel

CI-L1.4: THE LIMITATION AND PRACTICAL ACCELERATION OF STOCHASTIC GRADIENT ALGORITHMS IN INVERSE PROBLEMS
Junqi Tang, University of Edinburgh, United Kingdom; Karen Egiazarian, Noiseless Imaging Ltd; Tampere University, Finland; Michael Davies, University of Edinburgh, United Kingdom

CI-L1.5: OPTIMIZATION OF A MOVING COLORED CODED APERTURE IN COMPRESSIVE SPECTRAL IMAGING
Laura Galvis, Edson Mojica, Henry Arguello, Universidad Industrial de Santander, Colombia; Gonzalo R. Arce, University of Delaware, United States

CI-L1.6: NEAR-OPTIMAL CODED APERTURES FOR IMAGING VIA NAZAROV’S THEOREM
Ganesh Ajjanagadde, Massachusetts Institute of Technology, United States; Christos Thrampoulidis, University of California, Santa Barbara, United States; Adam Yedidia, Gregory Wornell, Massachusetts Institute of Technology, United States

CI-P1: CIM Poster Session 1

CI-P1.1: IMAGE REFLECTION REMOVAL USING THE WASSERSTEIN GENERATIVE ADVERSARIAL NETWORK
Tingtian Li, Daniel P.K. Lun, The Hong Kong Polytechnic University, Hong Kong SAR of China

CI-P1.2: WAVELENGTH-RESOLVED NEUTRON TOMOGRAPHY FOR CRYSTALLINE MATERIALS
Singanallur Venkatakrishnan, Oak Ridge National Laboratory, United States; Luc Dessieux, University of Tennessee, United States; Philip Bingham, Oak Ridge National Laboratory, United States

CI-P1.3: ALTERNATING PHASE PROJECTED GRADIENT DESCENT WITH GENERATIVE PRIORS FOR SOLVING COMPRESSIVE PHASE RETRIEVAL
Rakib Hyder, University of California, Riverside, United States; Viraj Shah, Chinmay Hegde, Iowa State University, United States; M. Salman Asif, University of California, Riverside, United States

CI-P1.4: SPATIO-SPECTRAL MODULATION USING A BINARY PHOTOMASK FOR COMPRESSIVE CHROMOTOMOGRAPHY
Xuesong Zhang, Beijing University of Posts and Telecommunications, China; Jing Jiang, Beijing Union University, China; Anlong Ming, Xuejing Kang, Beijing University of Posts and Telecommunications, China; Gonzalo R. Arce, University of Delaware, United States

CI-P1.5: IMAGE RESTORATION USING TOTAL VARIATION REGULARIZED DEEP IMAGE PRIOR
Jiaming Liu, Yu Sun, Xiaojian Xu, Ulugbek Kamilov, Washington University in St. Louis, United States

CI-P1.6: DEEP PTYCH: SUBSAMPLED FOURIER PTYCHOGRAPHY USING GENERATIVE PRIORS
Fahad Shamshad, Farwa Abbas, Ali Ahmed, Information Technology University, Lahore, Pakistan

CI-P1.7: UNROLLED PROJECTED GRADIENT DESCENT FOR MULTI-SPECTRAL IMAGE FUSION
Suhas Lohit, Arizona State University, United States; Dehong Liu, Hassan Mansour, Petros T. Boufounos, Mitsubishi Electric Research Laboratories, United States

CI-P1.8: K-EDGE CODED APERTURES FOR COMPRESSIVE SPECTRAL X-RAY TOMOGRAPHY
Angela P. Cuadros, University of Delaware, United States; Xu Ma, Beijing Institute of Technology, China; Gonzalo R. Arce, University of Delaware, United States

CI-P1.9: TRAVEL TIME TOMOGRAPHY WITH ADAPTIVE DICTIONARIES
Michael Bianco, Peter Gerstoft, University of California, San Diego, United States

CI-P1.10: DEPTH ESTIMATION FROM A SINGLE IMAGE USING DEEP LEARNED PHASE CODED MASK
Harel Haim, University of Toronto, Canada; Shay Elmalem, Raja Giryes, Alex M. Bronstein, Emanuel Marom, Tel-Aviv Univeristy, Israel

CI-P1.11: REFLECTION TOMOGRAPHIC IMAGING OF HIGHLY SCATTERING OBJECTS USING INCREMENTAL FREQUENCY INVERSION
Ajinkya Kadu, Utrecht University, Netherlands; Hassan Mansour, Petros T. Boufounos, Dehong Liu, Mitsubishi Electric Research Laboratories, United States

SS-L1: Half a Century of Adaptive and Statistical Signal Processing Education

SS-L1.1: LMS: PAST, PRESENT AND FUTURE.
Victor Solo, University of New South Wales, Australia

SS-L1.2: FREQUENCY-DOMAIN ADAPTIVE FILTERING: FROM REAL TO HYPERCOMPLEX SIGNAL PROCESSING
Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini, Sapienza University of Rome, Italy

SS-L1.3: SIMULTANEOUS DFT AND IDFT THROUGH WIDELY LINEAR CLMS
Xing Zhang, Southeast University, China; Bruno Scalzo Dees, Imperial College London, United Kingdom; Chunguo Li, Yili Xia, Luxi Yang, Southeast University, China; Danilo P. Mandic, Imperial College London, United Kingdom

SS-L1.4: RELATIONSHIPS BETWEEN DEEP LEARNING AND LINEAR ADAPTIVE SYSTEMS
Scott Douglas, Eric Larson, Southern Methodist University, United States

SS-L1.5: PARTICLE FILTERING: THE FIRST 25 YEARS AND BEYOND
Simon J. Godsill, University of Cambridge, United Kingdom

SS-L1.6: LMS TO DEEP LEARNING: HOW DSP ANALYSIS ADDS DEPTH TO LEARNING
Paul Gorday, Nurgun Erdol, Hanqi Zhuang, Florida Atlantic University, United States

SS-L2: Communications and Radar Transmission: Coexistence and Beyond

SS-L2.1: HYBRID BEAMFORMING WITH SUB-ARRAYED MIMO RADAR: ENABLING JOINT SENSING AND COMMUNICATION AT MMWAVE BAND
Fan Liu, Christos Masouros, University College London, United Kingdom

SS-L2.2: BEAMFORMING DESIGN FOR COEXISTENCE OF FULL-DUPLEX MULTI-CELL MU-MIMO CELLULAR NETWORK AND MIMO RADAR
Keshav Singh, Sudip Biswas, University of Edinburgh, United Kingdom; Omid Taghizadeh, RWTH Aachen University, Germany; Tharmalingam Ratnarajah, University of Edinburgh, United Kingdom

SS-L2.3: MULTICARRIER RADAR-COMMUNICATIONS WAVEFORM DESIGN FOR RF CONVERGENCE AND COEXISTENCE
Marian Bica, Visa Koivunen, Aalto University, Finland

SS-L2.4: COMMUNICATIONS UNDER THE CONSTRAINT OF DE-CHIRP CHANNEL DISTORTION
Daniel Bliss, Alex Chiriyath, Arizona State University, United States

SS-L2.5: ON RADAR PRIVACY IN SHARED SPECTRUM SCENARIOS
Anastasios Dimas, Rutgers, The State University of New Jersey, United States; Matthew A. Clark, University of Southern California / The Aerospace Corporation, United States; Bo Li, Aurora Innovation, United States; Konstantinos Psounis, University of Southern California, United States; Athina P. Petropulu, Rutgers, The State University of New Jersey, United States

SS-L2.6: ON MASSIVE MIMO CELLULAR SYSTEMS RESILIENCE TO RADAR INTERFERENCE
Stefano Buzzi, Carmen D'Andrea, Marco Lops, University of Cassino and Southern Latium, Italy

SS-L3: Recent Advances in Signal Processing for Large-Scale Computational Imaging

SS-L3.1: SIGNPROX: ONE-BIT PROXIMAL ALGORITHM FOR NONCONVEX STOCHASTIC OPTIMIZATION
Xiaojian Xu, Ulugbek Kamilov, Washington University in St. Louis, United States

SS-L3.2: DEAD TIME COMPENSATION FOR HIGH-FLUX DEPTH IMAGING
Joshua Rapp, Yanting Ma, Boston University, United States; Robin Dawson, Charles Stark Draper Laboratory, United States; Vivek Goyal, Boston University, United States

SS-L3.3: COMPRESSIVE SINGLE-PIXEL FOURIER TRANSFORM IMAGING USING STRUCTURED ILLUMINATION
Amirafshar Moshtaghpour, UCLouvain, Belgium; José M. Bioucas-Dias, Universidade de Lisboa, Portugal; Laurent Jacques, UCLouvain, Belgium

SS-L3.4: 3D RECONSTRUCTION USING SINGLE-PHOTON LIDAR DATA EXPLOITING THE WIDTHS OF THE RETURNS
Julian Tachella, Yoann Altmann, Heriot-Watt University, United Kingdom; Jean-Yves Tourneret, University of Toulouse, United Kingdom; Stephen McLaughlin, Heriot-Watt University, United Kingdom

SS-L3.5: CONVOLUTIONAL DICTIONARY REGULARIZERS FOR TOMOGRAPHIC INVERSION
Singanallur Venkatakrishnan, Oak Ridge National Laboratory, United States; Brendt Wohlberg, Los Alamos National Laboratory, United States

SS-L3.6: GEOMETRY OF DEEP LEARNING FOR MAGNETIC RESONANCE FINGERPRINTING
Mohammad Golbabaee, University of Bath, United Kingdom; Dongdong Chen, University of Edinburgh, United Kingdom; Pedro Gomez, Technical University of Munich, Germany; Marion Menzel, GE Healtcare, Germany; Michael Davies, University of Edinburgh, United Kingdom

SS-L4: Signal Processing for Emerging Wireless Hardware Architectures

SS-L4.1: BEAMFORMING OPTIMIZATION FOR INTELLIGENT REFLECTING SURFACE WITH DISCRETE PHASE SHIFTS
Qingqing Wu, Rui Zhang, National University of Singapore, Singapore

SS-L4.2: COMPRESSIVE SENSING WITH APPLICATIONS TO MILLIMETER-WAVE ARCHITECTURES
Hadi Ghauch, KTH Royal Institute of Technology, Sweden; Taejoon Kim, University of Kansas, United States; Carlo Fischione, Mikael Skoglund, KTH Royal Institute of Technology, Sweden

SS-L4.3: OUTPHASING ELEMENTS FOR HYBRID ANALOGUE DIGITAL BEAMFORMING AND SINGLE-RF MIMO
Bernhard Gäde, Michael Amon, Ali Bereyhi, Georg Fischer, Ralf Müller, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

SS-L4.4: INDOOR TIME REVERSAL WIRELESS COMMUNICATION: EXPERIMENTAL RESULTS FOR LOCALIZATION AND SIGNAL COVERAGE
George Alexandropoulos, Ramin Khayatzadeh, Mohamed Kamoun, Yang Ganghua, Merouane Debbah, Huawei Technologies France, France

SS-L4.5: INTELLIGENT ENVIRONMENTS BASED ON ULTRA-MASSIVE MIMO PLATFORMS FOR WIRELESS COMMUNICATION IN MILLIMETER WAVE AND TERAHERTZ BANDS
Shuai Nie, Georgia Institute of Technology, United States; Josep M. Jornet, University at Buffalo, The State University of New York, United States; Ian F. Akyildiz, Georgia Institute of Technology, United States

SS-L4.6: SIMPLE COOPERATIVE TRANSMISSION SCHEMES FOR UNDERLAY SPECTRUM SHARING USING SYMBOL-LEVEL PRECODING AND LOAD-CONTROLLED ARRAYS
Konstantinos Ntougias, Dimitrios Ntaikos, Constantinos Papadias, Athens Information Technology, Greece; George Papageorgiou, Heriot-Watt University, United Kingdom

SS-L5: Traditional and Emerging Signal Processing Teaching Practices

SS-L5.1: SIGNALS AND SYSTEMS: CASTING IT AS AN ACTION-ADVENTURE RATHER THAN A HORROR GENRE
Roberto Togneri, Sally Male, The University of Western Australia, Australia

SS-L5.2: TEACHING SIGNAL PROCESSING CONCEPTS TO DIGITAL NATIVES
Gregory A. Krudysz, James H. McClellan, Georgia Institute of Technology, United States

SS-L5.3: SIMULATION OR REAL-TIME?
Cameron Wright, University of Wyoming, United States; Thad Welch, Boise State University, United States; Michael Morrow, University of Wisconsin, United States

SS-L5.4: USING RFID TECHNOLOGY TO INTRODUCE PROPERTIES OF LMS
Zhe Li, Xiangyu Chen, Wei Deng, Wenjiang Pei, Yili Xia, Southeast University, China

SS-L5.5: RETHINKING TEACHING PRACTICES FOR SIGNAL PROCESSING EDUCATION
Anubha Gupta, Akanksha Farswan, Indraprastha Institute of Information Technology, New Delhi, India

SS-L5.6: SMART DSP FOR A SMARTER POWER GRID: TEACHING POWER SYSTEM ANALYSIS THROUGH SIGNAL PROCESSING
Ahmad Moniri, Anthony Constantinides, Danilo P. Mandic, Imperial College London, United Kingdom

SS-L6: Acoustic Scene Analysis and Tracking for Time-varying Reverberant Environments

SS-L6.2: LEARNING DYNAMIC STREAM WEIGHTS FOR LINEAR DYNAMICAL SYSTEMS USING NATURAL EVOLUTION STRATEGIES
Christopher Schymura, Dorothea Kolossa, Ruhr-Universität Bochum, Germany

SS-L6.3: LOCALIZATION OF AN UNKNOWN NUMBER OF SPEAKERS IN ADVERSE ACOUSTIC CONDITIONS USING RELIABILITY INFORMATION AND DIARIZATION
Andreas Brendel, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany; Bracha Laufer-Goldshtein, Sharon Gannot, Bar-Ilan University, Israel; Ronen Talmon, Technion, Israel; Walter Kellermann, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

SS-L6.4: EXTRACTION OF INDEPENDENT VECTOR COMPONENT FROM UNDERDETERMINED MIXTURES THROUGH BLOCK-WISE DETERMINED MODELING
Zbyněk Koldovský, Jiri Malek, Jakub Jansky, Technical University of Liberec, Czech Republic

SS-L6.5: TIME-FREQUENCY-BIN-WISE SWITCHING OF MINIMUM VARIANCE DISTORTIONLESS RESPONSE BEAMFORMER FOR UNDERDETERMINED SITUATIONS
Kouei Yamaoka, University of Tsukuba, Japan; Nobutaka Ono, Tokyo Metropolitan University, Japan; Shoji Makino, Takeshi Yamada, University of Tsukuba, Japan

SS-L6.6: BLIND SIGNAL PROCESSING FOR TIME-VARYING CONVOLUTIVE MIXING SYSTEMS BASED ON SEQUENCE ESTIMATION ON PARTLY SMOOTH MANIFOLDS
Herbert Buchner, University of Cambridge, United Kingdom; Karim Helwani, Amazon, United States; Simon J. Godsill, University of Cambridge, United Kingdom

SS-L7: Nonlinear Inverse Problems and Matrix Factorization

SS-L7.1: PROVABLE MEMORY-EFFICIENT ONLINE ROBUST MATRIX COMPLETION
Praneeth Narayanamurthy, Vahid Daneshpajooh, Namrata Vaswani, Iowa State University, United States

SS-L7.2: BILINEAR DICTIONARY UPDATE VIA LINEAR LEAST SQUARES
Qi Yu, National University of Defense Technology, China; Wei Dai, Imperial College London, United Kingdom; Zoran Cvetkovic, King's College London, United Kingdom; Jubo Zhu, National University of Defense Technology, China

SS-L7.3: THE GEOMETRY OF EQUALITY-CONSTRAINED GLOBAL CONSENSUS PROBLEMS
Qiuwei Li, Zhihui Zhu, Gongguo Tang, Michael Wakin, Colorado School of Mines, United States

SS-L7.4: DIFFERENTIALLY PRIVATE COMPRESSIVE K-MEANS
Vincent Schellekens, ICTEAM/ELEN, UCLouvain, Belgium; Antoine Chatalic, Univ. Rennes, Inria, CNRS, IRISA, France; Florimond Houssiau, Yves-Alexandre de Montjoye, Imperial College London, United Kingdom; Laurent Jacques, ICTEAM/ELEN, UCLouvain, Belgium; Rémi Gribonval, Univ. Rennes, Inria, CNRS, IRISA, France

SS-L7.5: A MODIFIED FRANK-WOLFE ALGORITHM FOR TENSOR FACTORIZATION WITH UNIMODAL SIGNALS
Junting Chen, The Chinese University of Hong Kong, Shenzhen, China; Urbashi Mitra, University of Southern California, United States

SS-L7.6: MULTICHANNEL SPARSE BLIND DECONVOLUTION ON THE SPHERE
Yanjun Li, Yoram Bresler, University of Illinois at Urbana-Champaign, United States

SS-L8: Challenges and Perspectives in Spike-based Sensing and Processing

SS-L8.1: TIME-BASED SAMPLING AND RECONSTRUCTION OF NON-BANDLIMITED SIGNALS
Roxana Alexandru, Pier Luigi Dragotti, Imperial College London, United Kingdom

SS-L8.2: EVENT-DRIVEN PIPELINE FOR LOW-LATENCY LOW-COMPUTE KEYWORD SPOTTING AND SPEAKER VERIFICATION SYSTEM
Enea Ceolini, Jithendar Anumula, Stefan Braun, Shih-Chii Liu, University Zürich, ETH Zürich, Switzerland

SS-L8.3: A SPIKING NEURAL NETWORK WITH LOCAL LEARNING RULES DERIVED FROM NONNEGATIVE SIMILARITY MATCHING
Cengiz Pehlevan, Harvard University, United States

SS-L8.4: MULTI-CHANNEL TIME ENCODING FOR IMPROVED RECONSTRUCTION OF BANDLIMITED SIGNALS
Karen Adam, Adam Scholefield, Martin Vetterli, École Polytechnique Fédérale de Lausanne, Switzerland

SS-L8.5: NEUROMORPHIC VISION SENSING FOR CNN-BASED ACTION RECOGNITION
Aaron Chadha, Yin Bi, Alhabib Abbas, Yiannis Andreopoulos, University College London, United Kingdom

SS-L9: Emerging Quantum Signal Processing Paradigms

SS-L9.1: A TRAINING PROCEDURE FOR QUANTUM RANDOM VECTOR FUNCTIONAL-LINK NETWORKS
Massimo Panella, Antonello Rosato, University of Rome La Sapienza, Italy

SS-L9.2: TOWARD THE QUANTUM INTERNET: A DIRECTIONAL-DEPENDENT NOISE MODEL FOR QUANTUM SIGNAL PROCESSING
Angela Sara Cacciapuoti, Marcello Caleffi, University of Naples Federico II, Italy

SS-L9.3: REMOTE STATE PREPARATION FOR MULTIPLE PARTIES
Wenhan Dai, Tianyi Peng, Moe Win, Massachusetts Institute of Technology, United States

SS-L9.4: RESOURCE OPTIMIZATION IN QUANTUM ACCESS NETWORKS
Sima Bahrani, Osama Elmabrok, Guillermo Curras Lorenzo, Mohsen Razavi, University of Leeds, United Kingdom

SS-L9.5: INTRASYSTEM ENTANGLEMENT GENERATOR AND UNAMBIGUOS BELL STATES DISCRIMINATOR ON CHIP
Fabio Antonio Bovino, Sapienza University of Rome, Italy

SS-L9.6: GENERALIZED AND DIFFERENTIAL LIKELIHOOD RATIO TESTS WITH QUANTUM SIGNAL PROCESSING
Shihao Yan, Macquarie University, Australia; Robert Malaney, Jinhong Yuan, University of New South Wales, Australia

SS-L10: Perceptually Motivated Signal Processing: Data, Algorithms and Evaluation

SS-L10.1: THE DESIGN OF PERSONAL AUDIO SYSTEMS FOR SPEECH TRANSMISSION USING ANALYTICAL AND MEASURED RESPONSES.
Daniel Wallace, Jordan Cheer, University of Southampton, United Kingdom

SS-L10.2: BACKGROUND ADAPTATION FOR IMPROVED LISTENING EXPERIENCE IN BROADCASTING
Yan Tang, University of Salford, United Kingdom; Qingju Liu, University of Surrey, United Kingdom; Trevor J. Cox, Bruno M Fazenda, University of Salford, United Kingdom; Wenwu Wang, University of Surrey, United Kingdom

SS-L10.3: A NOVEL BINAURAL BEAMFORMING SCHEME WITH LOW COMPLEXITY MINIMIZING BINAURAL-CUE DISTORTIONS
Andreas Koutrouvelis, Richard Hendriks, Richard Heusdens, Delft University of Technology, Netherlands; Jesper Jensen, Aalborg University and Oticon A/S, Denmark; Meng Guo, Oticon A/S, Denmark

SS-L10.4: GRAPHIC DELAY EQUALIZER
Jussi Ramo, Vesa Välimäki, Aalto University, Finland

SS-L10.5: PERCEPTUAL SOUNDFIELD RECONSTRUCTION IN THREE DIMENSIONS VIA SOUND FIELD EXTRAPOLATION
Ege Erdem, Middle East Technical University, Turkey; Enzo De Sena, University of Surrey, United Kingdom; Huseyin Hacihabiboglu, Middle East Technical University, Turkey; Zoran Cvetkovic, King's College London, United Kingdom

SS-L11: Parahermitian Matrix Factorisations and their Applications

SS-L11.1: ANALYSIS OF BROADBAND GEVD-BASED BLIND SOURCE SEPARATION
Soydan Redif, European University of Lefke, Turkey; Jennifer Pestana, Ian Proudler, University of Strathclyde, United Kingdom

SS-L11.2: SAMPLE SPACE-TIME COVARIANCE MATRIX ESTIMATION
Connor Delaosa, Jennifer Pestana, University of Strathclyde, United Kingdom; Nicholas J. Goddard, Dstl, United Kingdom; Samuel Somasundaram, Thales Underwater Systems, United Kingdom; Stephan Weiss, University of Strathclyde, United Kingdom

SS-L11.3: ITERATIVE APPROXIMATION OF ANALYTIC EIGENVALUES OF A PARAHERMITIAN MATRIX EVD
Stephan Weiss, Ian Proudler, Fraser Coutts, Jennifer Pestana, University of Strathclyde, United Kingdom

SS-L11.4: SECOND ORDER SEQUENTIAL BEST ROTATION ALGORITHM WITH HOUSEHOLDER REDUCTION FOR POLYNOMIAL MATRIX EIGENVALUE DECOMPOSITION
Vincent W. Neo, Patrick A. Naylor, Imperial College London, United Kingdom

SS-L11.5: DETECTION OF GRID VOLTAGE ANOMALIES VIA BROADBAND SUBSPACE DECOMPOSITON
Samet Biricik, Soydan Redif, European University of Lefke, Turkey

SS-L11.6: MAXIMALLY SMOOTH DIRICHLET INTERPOLATION FROM COMPLETE AND INCOMPLETE SAMPLE POINTS ON THE UNIT CIRCLE
Stephan Weiss, Malcolm Macleod, University of Strathclyde, United Kingdom

SS-L15: Signal Processing for Big Data

SS-L15.1: LATENT HETEROGENEOUS MULTILAYER COMMUNITY DETECTION
Hafiz Tiomoko Ali, Huawei Noah's Ark Lab, United Kingdom; Sijia Liu, Massachusetts Institute of Technology-IBM Watson AI Lab, United States; Yasin Yilmaz, University of South Florida, United States; Romain Couillet, University of Grenoble-Alpes, France; Indika Rajapakse, Alfred O. Hero, University of Michigan, United States

SS-L15.2: GLOBALLY CONVERGENT ACCELERATED PROXIMAL ALTERNATING MAXIMIZATION METHOD FOR L1-PRINCIPAL COMPONENT ANALYSIS
Peng Wang, Huikang Liu, Anthony Man-Cho So, The Chinese University of Hong Kong, Hong Kong SAR of China

SS-L15.3: SUPPORT TENSOR MACHINE FOR FINANCIAL FORECASTING
Giuseppe G. Calvi, Imperial College London, United Kingdom; Vladimir Lucic, Macquarie Bank, United Kingdom; Danilo P. Mandic, Imperial College London, United Kingdom

SS-L15.4: A RECURRENT GRAPH NEURAL NETWORK FOR MULTI-RELATIONAL DATA
Vassilis N. Ioannidis, University of Minnesota, United States; Antonio G. Marques, King Juan Carlos University, Spain; Georgios B. Giannakis, University of Minnesota, United States

SS-L15.5: SAFETY IN THE FACE OF UNKNOWN UNKNOWNS: ALGORITHM FUSION IN DATA-DRIVEN ENGINEERING SYSTEMS
Nina Kshetry, Ensaras, Inc., United States; Lav Varshney, University of Illinois at Urbana-Champaign, United States

SS-L15.6: BYZANTINE-RESILIENT DISTRIBUTED LARGE-SCALE MATRIX COMPLETION
Feng Lin, Qing Ling, Sun Yat-Sen University, China; Zhiwei Xiong, University of Science and Technology of China, China

SS-L12: AI for Sound: A Session Honoring Jan Larsen

SS-L12.1: METHODICAL DESIGN AND TRIMMING OF DEEP LEARNING NETWORKS: ENHANCING EXTERNAL BP LEARNING WITH INTERNAL OMNIPRESENT-SUPERVISION TRAINING PARADIGM
Sunyuan Kung, Zejiang Hou, Yuchen Liu, Princeton University, United States

SS-L12.2: WHEN NOT TO CLASSIFY: DETECTION OF REVERSE ENGINEERING ATTACKS ON DNN IMAGE CLASSIFIERS
Yujia Wang, David J. Miller, George Kesidis, Pennsylvania State University, United States

SS-L12.3: MACHINE LEARNING FOR CONDITION MONITORING AND INNOVATION
Niels Henrik Pontoppidan, Oticon A/S, Denmark; Tue Lehn-Schiøler, Danske Bank, Denmark; Kaare Brandt Petersen, Laerdal Copenhagen, Denmark

SS-L12.4: STOCHASTIC MARKOV RECURRENT NEURAL NETWORK FOR SOURCE SEPARATION
Jen-Tzung Chien, Che-Yu Kuo, National Chiao Tung University, Taiwan

SS-L12.5: ON TRAINING TARGETS AND OBJECTIVE FUNCTIONS FOR DEEP-LEARNING-BASED AUDIO-VISUAL SPEECH ENHANCEMENT
Daniel Michelsanti, Zheng-Hua Tan, Aalborg University, Denmark; Sigurdur Sigurdsson, Oticon A/S, Denmark; Jesper Jensen, Aalborg University, Denmark

SS-L12.6: GENERALISATION IN ENVIRONMENTAL SOUND CLASSIFICATION: THE ‘MAKING SENSE OF SOUNDS’ DATA SET AND CHALLENGE
Christian Kroos, University of Surrey, United Kingdom; Oliver Bones, University of Salford, United Kingdom; Yin Cao, University of Surrey, United Kingdom; Lara Harris, University of Salford, United Kingdom; Philip J. B. Jackson, University of Surrey, United Kingdom; William J. Davies, University of Salford, United Kingdom; Wenwu Wang, University of Surrey, United Kingdom; Trevor J. Cox, University of Salford, United Kingdom; Mark D. Plumbley, University of Surrey, United Kingdom

SS-L13: Statistical Signal Processing for Smart Grid Applications

SS-L13.1: PRICE-AWARE RENEWABLE ENERGY MANAGEMENT WITH TRANSMISSION LOSSES
Johann Leithon, Aalto University, Finland; Stefan Werner, Norwegian University of Science and Technology, Norway; Visa Koivunen, Pouria Talebi, Aalto University, Finland

SS-L13.2: POWER SYSTEM STATE FORECASTING VIA DEEP RECURRENT NEURAL NETWORKS
Liang Zhang, Gang Wang, Georgios B. Giannakis, University of Minnesota, United States

SS-L13.3: ITERATIVELY REWEIGHTED LINEAR LEAST SQUARES FOR FREQUENCY ESTIMATION IN UNBALANCED THREE-PHASE POWER SYSTEM
Yuan Chen, University of Science & Technology Beijing, China; Weize Sun, Shenzhen University, China; Long-Ting Huang, Wuhan University of Technology, China; Hing Cheung So, City University of Hong Kong, Hong Kong SAR of China

SS-L13.4: LEARNING REQUIREMENTS FOR STEALTH ATTACKS
Ke Sun, Iñaki Esnaola, University of Sheffield, United Kingdom; Antonia M. Tulino, Nokia Bell Labs / University degli Studi di Napoli Federico II, United States; H. Vincent Poor, Princeton University, United States

SS-L13.5: POWER NETWORK PARAMETER CORRECTION VIA SPARSE UNSUPERVISED REGRESSION
Dilan Senaratne, Jinsub Kim, Oregon State University, United States

SS-L14: Artificial Intelligence based Human-Machine Conversation technology for Interactive Education

SS-L14.1: NEURAL APPROACHES TO AUTOMATED SPEECH SCORING OF MONOLOGUE AND DIALOGUE RESPONSES
Yao Qian, Patrick Lange, Keelan Evanini, Robert Pugh, Rutuja Ubale, Matthew Mulholland, Xinhao Wang, Educational Testing Service, United States

SS-L14.2: CLASSIFICATION OF CHINESE DIALECT REGIONS FROM L2 ENGLISH SPEECH
Jiahong Yuan, Zhengqiang Rao, Hui Lin, Yang Liu, LAIX Inc., United States

SS-L14.3: DOMAIN ADVERSARIAL TRAINING FOR IMPROVING KEYWORD SPOTTING PERFORMANCE OF ESL SPEECH
Jingyong Hou, Pengcheng Guo, Sining Sun, Northwestern Polytechnical University, China; Frank K. Soong, Wenping Hu, Microsoft Research Asia, China; Lei Xie, Northwestern Polytechnical University, China

SS-L14.4: AUTOMATIC GRAMMATICAL ERROR DETECTION OF NON-NATIVE SPOKEN LEARNER ENGLISH
Kate Knill, Mark Gales, Potsawee Manakul, Andrew Caines, Cambridge University, United Kingdom

SS-L14.5: CNN-RNN-CTC BASED END-TO-END MISPRONUNCIATION DETECTION AND DIAGNOSIS
Wai-Kim Leung, Xunying Liu, Helen Meng, The Chinese University of Hong Kong, Hong Kong SAR of China

SS-L14.6: EDUQA: EDUCATIONAL DOMAIN QUESTION ANSWERING SYSTEM USING CONCEPTUAL NETWORK MAPPING
Abhishek Agarwal, Nikhil Sachdeva, Raj Kamal Yadav, Vishaal Udandarao, Vrinda Mittal, Anubha Gupta, SBILab, Department of ECE, IIIT-Delhi, India; Abhinav Mathur, Million Sparks Foundation, India

SS-L16: Robust Distributed Computing

SS-L16.1: IMPROVED LATENCY-COMMUNICATION TRADE-OFF FOR MAP-SHUFFLE-REDUCE SYSTEMS WITH STRAGGLERS
Jingjing Zhang, Osvaldo Simeone, King's College London, United Kingdom

SS-L16.2: COMPUTATION SCHEDULING FOR DISTRIBUTED MACHINE LEARNING WITH STRAGGLING WORKERS
Mohammad Mohammadi Amiri, Deniz Gunduz, Imperial College London, United Kingdom

SS-L16.3: A TOPOLOGY-AWARE CODING FRAMEWORK FOR DISTRIBUTED GRAPH PROCESSING
Basak Guler, A. Salman Avestimehr, Antonio Ortega, University of Southern California, United States

SS-L16.4: RANDOM SAMPLING FOR DISTRIBUTED CODED MATRIX MULTIPLICATION
Wei-Ting Chang, Ravi Tandon, University of Arizona, United States

SS-L16.5: FAST AND EFFICIENT DISTRIBUTED MATRIX-VECTOR MULTIPLICATION USING RATELESS FOUNTAIN CODES
Ankur Mallick, Carnegie Mellon University, United States; Malhar Chaudhari, Oracle Corporation, United States; Gauri Joshi, Carnegie Mellon University, United States

SS-L16.6: ROBUST MOLECULAR DYNAMICS SIMULATIONS USING CODED FFT ALGORITHM
Yuk Wong, Yuqiu Zhang, The Chinese University of Hong Kong, Hong Kong SAR of China; Haewon Jeong, Pulkit Grover, Carnegie Mellon University, United States

SS-L17: Advances in Structured and Constrained Low-rank Approximations

SS-L17.1: MAJORIZATION-MINIMIZATION ALGORITHMS FOR CONVOLUTIVE NMF WITH THE BETA-DIVERGENCE
Dylan Fagot, Herwig Wendt, Cédric Févotte, CNRS, France; Paris Smaragdis, University of Illinois at Urbana-Champaign, United States

SS-L17.2: DATA-DRIVEN SIMULATION USING THE NUCLEAR NORM HEURISTIC
Philippe Dreesen, Ivan Markovsky, Vrije Universiteit Brussel, Belgium

SS-L17.3: BOOLEAN CP DECOMPOSITION OF BINARY TENSORS: UNIQUENESS AND ALGORITHM
Mamadou Diop, Université de Lorraine, CEA Tech Grand-Est, France; Sebastian Miron, Université de Lorraine, France; Antoine Souloumiac, CEA Saclay, France; David Brie, Université de Lorraine, France

SS-L17.4: QUADRATIC ENVELOPE REGULARIZATION FOR STRUCTURED LOW RANK APPROXIMATION
Jamie Caprani, Marcus Carlsson, Lund University, Sweden

SS-L17.5: SHIFT-INVARIANT SUBSPACE TRACKING WITH MISSING DATA
Myung Cho, Yuejie Chi, Carnegie Mellon University, United States

SS-L17.6: NONNEGATIVE LOW-RANK SPARSE COMPONENT ANALYSIS
Jeremy E. Cohen, CNRS, Universite de Rennes, France; Nicolas Gillis, University of Mons, Belgium

SS-L21: Advanced Signal Processing for Non-intrusive Load Monitoring

SS-L21.1: DEEP NEURAL NETWORKS FOR APPLIANCE TRANSIENT CLASSIFICATION
Peter Davies, Jonathan Dennis, Jack Hansom, William Martin, Aistis Stankevicius, Lionel Ward, Green Running, United Kingdom

SS-L21.2: EVALUATION OF NON-INTRUSIVE LOAD MONITORING ALGORITHMS FOR APPLIANCE-LEVEL ANOMALY DETECTION
Haroon Rashid, IIIT Delhi, India; Vladimir Stankovic, Lina Stankovic, University of Strathclyde, United Kingdom; Pushpendra Singh, IIIT Delhi, India

SS-L21.3: TRANSFERABILITY OF NEURAL NETWORK APPROACHES FOR LOW-RATE ENERGY DISAGGREGATION
David Murray, Lina Stankovic, Vladimir Stankovic, University of Strathclyde, United Kingdom; Srdjan Lulic, Srdjan Sladojevic, PanonIT, Serbia

SS-L21.4: WAVENILM: A CAUSAL NEURAL NETWORK FOR POWER DISAGGREGATION FROM THE COMPLEX POWER SIGNAL
Alon Harell, Stephen Makonin, Ivan Bajic, Simon Fraser University, Canada

SS-L21.5: NEURAL VARIATIONAL IDENTIFICATION AND FILTERING FOR STOCHASTIC NON-LINEAR DYNAMICAL SYSTEMS WITH APPLICATION TO NON-INTRUSIVE LOAD MONITORING
Henning Lange, Mario Berges, Zico Kolter, Carnegie Mellon University, United States

SS-L21.6: MULTI LABEL RESTRICTED BOLTZMANN MACHINE FOR NON-INTRUSIVE LOAD MONITORING
Sagar Verma, Shikha Singh, Angshul Majumdar, Indraprastha Institute of Information Technology, Delhi, India

SS-L18: Wildlife Bioacoustics and Adaptive Signal Processing

SS-L18.1: SEGMENTATION, CLASSIFICATION, AND VISUALIZATION OF ORCA CALLS USING DEEP LEARNING
Hendrik Schröter, Elmar Nöth, Andreas Maier, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany; Rachael Cheng, Leibniz Institute for Zoo and Wildlife Research (IZW) in the Forschungsverbund Berlin e.V., Germany; Volker Barth, Anthro-Media, Germany; Christian Bergler, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

SS-L18.2: THE MATCHED REASSIGNMENT APPLIED TO ECHOLOCATION DATA
Johan Brynolfsson, Isabella Reinhold, Josefin Starkhammar, Maria Sandsten, Lund University, Sweden

SS-L18.3: CONV-CODES: AUDIO HASHING FOR BIRD SPECIES CLASSIFICATION
Anshul Thakur, IIT Mandi, India; Pulkit Sharma, Oxford University, United Kingdom; Vinayak Abrol, Idiap Research Institute, Switzerland; Padmanabhan Rajan, IIT Mandi, India

SS-L18.4: AN INTEGRATED FRAMEWORK FOR FIELD RECORDING, LOCALIZATION, CLASSIFICATION AND ANNOTATION OF BIRDSONGS USING ROBOT AUDITION TECHNIQUES - HARKBIRD 2.0
Shinji Sumitani, Reiji Suzuki, Naoaki Chiba, Nagoya university, Japan; Shiho Matsubayashi, Osaka university, Japan; Takaya Arita, Nagoya university, Japan; Kazuhiro Nakadai, Tokyo Institute of Technology / Honda Research Institute Japan Co., Ltd., Japan; Hiroshi G. Okuno, Waseda University, Japan

SS-L18.5: REAL-TIME PASSIVE ACOUSTIC 3D TRACKING OF DEEP CETACEAN BY SMALL NON-UNIFORM MOBILE SURFACE ANTENNA
Marion Poupard, Maxence Ferrari, Jan Schlüter, Ricard Marxer, Pascale Giraudet, Valentin Barchasz, Valentin Giès, University of Toulon, France; Gianni Pavan, University of Pavia, France; Hervé Glotin, University of Toulon, France

SS-L18.6: AUDIO-BASED IDENTIFICATION OF BEEHIVE STATES
Inês Nolasco, Queen Mary University of London, United Kingdom; Alessandro Terenzi, Stefania Cecchi, Simone Orcioni, Università Politecnica delle Marche, Italy; Helen L. Bear, Emmanouil Benetos, Queen Mary University of London, United Kingdom

SS-L19: Deep Learning for Multimedia Forensics

SS-L19.1: EXPOSING DEEP FAKES USING INCONSISTENT HEAD POSES
Xin Yang, Yuezun Li, Siwei Lyu, University at Albany, State University of New York, United States

SS-L19.2: TRACKING MULTIPLE IMAGE SHARING ON SOCIAL NETWORKS
Quoc-Tin Phan, Giulia Boato, University of Trento, Italy; Roberto Caldelli, CNIT- National Interuniversity Consortium for Telecommunications, Italy; Irene Amerini, University of Florence, Italy

SS-L19.3: VIDEO CAMERA MODEL IDENTIFICATION SYSTEM USING DEEP LEARNING AND FUSION
Brian Hosler, Owen Mayer, Belhassen Bayar, Xinwei Zhao, Chen Chen, James Shackleford, Matthew C. Stamm, Drexel University, United States

SS-L19.4: TOWARD SUBJECTIVE VIOLENCE DETECTION IN VIDEOS
Bruno Peixoto, Bahram Lavi, João Paulo Pereira Martin, Sandra Avila, Zanoni Dias, Anderson Rocha, University of Campinas, Brazil

SS-L19.5: TOWARDS LEARNED COLOR REPRESENTATIONS FOR IMAGE SPLICING DETECTION
Benjamin Hadwiger, University of Erlangen-Nuremberg, Germany; Daniele Baracchi, Alessandro Piva, University of Florence, Italy; Christian Riess, University of Erlangen-Nuremberg, Germany

SS-L19.6: ON THE TRANSFERABILITY OF ADVERSARIAL EXAMPLES AGAINST CNN-BASED IMAGE FORENSICS
Mauro Barni, Full Professor, University of Siena, Italy; Kassem Kallas, Ehsan Nowroozi, Benedetta Tondi, University of Siena, Italy

SS-L20: Signal and Image Processing for Environmental Monitoring and Protection

SS-L20.1: MONITORING OF TREES' HEALTH CONDITION USING A UAV EQUIPPED WITH LOW-COST DIGITAL CAMERA
Panagiotis Barmpoutis, Tania Stathaki, Imperial College London, United Kingdom; Vasiliki Kamperidou, Aristotle University of Thessaloniki, Greece

SS-L20.2: DETECTING GAS VAPOR LEAKS THROUGH UNCALIBRATED SENSOR BASED CPS
Diaa Badawi, University of Illinois at Chicago, United States; Sule Ozev, Jennifer Blain Christen, Arizona State University, United States; Chengmo Yang, University of Delaware, United States; Alex Orailoglu, University of California, San Diego, United States; A. Enis Çetin, University of Illinois at Chicago, United States

SS-L20.3: FIRE DETECTION FROM IMAGES USING FASTER R-CNN AND MULTIDIMENSIONAL TEXTURE ANALYSIS
Panagiotis Barmpoutis, Imperial College London, United Kingdom; Kosmas Dimitropoulos, Kyriaki Kaza, Nikos Grammalidis, Centre for Research and Technology Hellas, Greece

SS-L20.4: ANARCHIC URBAN EXPANSION DETECTION AND MONITORING WITH INTEGRATION OF EXPERT KNOWLEDGE
Ferdaous Chaabane, Safa Réjichi, Higher School of Communication of Tunis SUP'COM, Tunisia; Chayma Kefi, Haythem Ismail, CNCT (Centre National de la Cartographie et de la Télédétection), Tunisia; Florence Tupin, Télécom ParisTech, France

SS-L20.5: FIRE DETECTION IN H.264 COMPRESSED VIDEO
Murat Muhammet Savcı, Yasin Yıldırım, Görkem Saygılı, Behçet Uğur Töreyin, İstanbul Technical University, Turkey

SS-L20.6: EARLY WILDFIRE SMOKE DETECTION BASED ON MOTION-BASED GEOMETRIC IMAGE TRANSFORMATION AND DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS
Suleyman Aslan, Ugur Gudukbay, Bilkent University, Turkey; Behçet Uğur Töreyin, Istanbul Technical University, Turkey; A. Enis Çetin, University of Illinois at Chicago, United States

SS-L22: Neural Networks for Signal Processing Applications

SS-L22.1: EFFICIENT INDOOR LOCALIZATION VIA REINFORCEMENT LEARNING
Dimitris Milioris, Nokia Bell Labs & MIT, France

SS-L22.2: LEARNING TO RANK: A PROGRESSIVE NEURAL NETWORK LEARNING APPROACH
Dat Thanh Tran, Tampere University of Technology, Finland; Alexandros Iosifidis, Aarhus University, Denmark

SS-L22.3: 1-D CONVOLUTIONAL NEURAL NETWORKS FOR SIGNAL PROCESSING APPLICATIONS
Serkan Kiranyaz, Qatar University, Qatar; Turker Ince, Electrical & Electronics Engineering Department, Izmir University of Economics, Turkey; Osama Abdeljaber, Onur Avci, Qatar University, Qatar; Moncef Gabbouj, Tampere University of Technology, Finland

SS-L22.4: QUASI BLACK HOLE EFFECT OF GRADIENT DESCENT IN LARGE DIMENSION: CONSEQUENCE ON NEURAL NETWORK LEARNING
Anne Bouillard, Philippe Jacquet, Nokia Bell Labs, France

SS-L22.5: LEVERAGING IMAGE-TO-IMAGE TRANSLATION GENERATIVE ADVERSARIAL NETWORKS FOR FACE AGING
Evangelia Pantraki, Constantine Kotropoulos, Aristotle University of Thessaloniki, Greece; Andreas Lanitis, Cyprus University of Technology, Cyprus

SS-L22.6: DEEP CONVOLUTIONAL FEATURE HISTOGRAMS FOR VISUAL OBJECT TRACKING
Paraskevi Nousi, Anastasios Tefas, Ioannis Pitas, Computer Science Department, Aristotle University of Thessaloniki, Greece

SS-L23: Signal Processing for Smart City Applications and the Internet of Things

SS-L23.1: DETECTION OF PILOT-HOPPING SEQUENCES FOR GRANT-FREE RANDOM ACCESS IN MASSIVE MIMO SYSTEMS
Ema Becirovic, Emil Björnson, Erik G. Larsson, Linköping University, Sweden

SS-L23.2: BELIEF CONDENSATION FILTERING FOR RSSI-BASED STATE ESTIMATION IN INDOOR LOCALIZATION
Shervin Mehryar, University of Toronto, Canada; Parvin Malekzadeh, Concordia University, Canada; Santiago Mazuelas, BCAM researcher, Spain; Petros Spachos, University of Guelph, Canada; Konstantinos N. Plataniotis, University of Toronto, Canada; Arash Mohammadi, Concordia University, Canada

SS-L23.3: COMMUNICATION STANDARDS FOR DISTRIBUTED RENEWABLE ENERGY SOURCES INTEGRATION IN FUTURE ELECTRICITY DISTRIBUTION NETWORKS
Anish Jindal, Angelos K. Marnerides, Antonios Gouglidis, Andreas Mauthe, David Hutchison, Lancaster University, United Kingdom

SS-L23.4: SECURE ANALYTICS AND RESILIENT INFERENCE FOR THE INTERNET OF THINGS
Yuan Chen, Soummya Kar, Jose' Moura, Carnegie Mellon University, United States

SS-L23.5: DYNAMIC JOINT PHY-MAC WAVEFORM DESIGN FOR IOT CONNECTIVITY
Konstantinos Tountas, George Sklivanitis, Dimitris Pados, Florida Atlantic University, United States

SS-L23.6: RF-BASED ANALYTICS GENERATED BY TAG-TO-TAG NETWORKS
Milutin Stanacevic, Yasha Karimi, Guanchao Feng, Stony Brook University, United States; Jihoon Ryoo, SUNY Korea, United States; Akshay Athalye, Samir Das, Petar Djuric, Stony Brook University, United States

SS-L24: Machine Learning for Communications

SS-L24.1: JOINT TRANSACTION TRANSMISSION AND CHANNEL SELECTION IN COGNITIVE RADIO BASED BLOCKCHAIN NETWORKS: A DEEP REINFORCEMENT LEARNING APPROACH
Nguyen Cong Luong, Tran The Anh, Nanyang Technological University, Singapore; Huynh Thi Thanh Binh, Hanoi University of Science and Technology, Viet Nam; Dusit Niyato, Nanyang Technological University, Singapore; Dong In Kim, Sungkyunkwan University, Korea (South); Ying Chang Liang, University of Electronic Science and Technology of China, China

SS-L24.2: DEEP LEARNING BASED ON ORTHOGONAL APPROXIMATE MESSAGE PASSING FOR CP-FREE OFDM
Jing Zhang, Hengtao He, National Mobile Communications Research Laboratory, Southeast University, China; Chao-Kai Wen, Institute of Communications Engineering, National Sun Yat-sen University, China; Shi Jin, National Mobile Communications Research Laboratory, Southeast University, China; Geoffrey Ye Li, Georgia Institute of Technology, USA, China

SS-L24.3: A CALIBRATED LEARNING APPROACH TO DISTRIBUTED POWER ALLOCATION IN SMALL CELL NETWORKS
Xinruo Zhang, Loughborough University, United Kingdom; Mohammad Reza Nakhai, King's College London, United Kingdom; Gan Zheng, Sangarapillai Lambotharan, Loughborough University, United Kingdom; Björn Ottersten, University of Luxembourg, Luxembourg

SS-L24.4: COOPERATIVE DEEP REINFORCEMENT LEARNING FOR MULTIPLE-GROUP NB-IOT NETWORKS OPTIMIZATION
Nan Jiang, Queen Mary University of London, United Kingdom; Yansha Deng, Osvaldo Simeone, King's College London, United Kingdom; Arumugam Nallanathan, Queen Mary University of London, United Kingdom

SS-L24.5: DEEP LEARNING BASED ONLINE POWER CONTROL FOR LARGE ENERGY HARVESTING NETWORKS
Mohit Kumar Sharma, Alessio Zappone, CentraleSupelec, Universite Paris-Saclay, France; Merouane Debbah, CentraleSupelec, Universite Paris-Saclay and Huawei France R&D, France; Mohamad Assaad, CentraleSupelec, Universite Paris-Saclay, France

SS-L24.6: A VARIATIONAL BAYES APPROACH TO ADAPTIVE CHANNEL-GAIN CARTOGRAPHY
Donghoon Lee, Georgios B. Giannakis, University of Minnesota, United States

SS-L25: Anomaly Detection and Intent Inference in Object Tracking

SS-L25.1: A BAYESIAN FRAMEWORK FOR INTENT PREDICTION IN OBJECT TRACKING
Bashar I. Ahmad, Patrick M. Langdon, Simon J. Godsill, University of Cambridge, United Kingdom

SS-L25.2: PRIVACY-PRESERVING ONLINE HUMAN BEHAVIOUR ANOMALY DETECTION BASED ON BODY MOVEMENTS AND OBJECTS POSITIONS
Federico Angelini, Jiawei Yan, Syed Mohsen Naqvi, Newcastle University, United Kingdom

SS-L25.3: ANOMALY DETECTION AND TRACKING BASED ON MEAN-REVERTING PROCESSES WITH UNKNOWN PARAMETERS
Nicola Forti, Leonardo M. Millefiori, Paolo Braca, NATO STO Centre for Maritime Research and Experimentation, Italy; Peter Willett, University of Connecticut, United States

SS-L25.4: DISTRIBUTED QUICKEST DETECTION OF SIGNIFICANT EVENTS IN NETWORKS
Shaofeng Zou, University at Buffalo, United States; Venugopal V. Veeravalli, University of Illinois at Urbana-Champaign, United States; Jian Li, Don Towsley, University of Massachusetts Amherst, United States; Ananthram Swami, U.S. Army Research Laboratory, United States

SS-L25.5: DATA DRIVEN VESSEL TRAJECTORY FORECASTING USING STOCHASTIC GENERATIVE MODELS
Murat Uney, Leonardo M. Millefiori, Paolo Braca, Centre for Maritime Research and Experimentation, Italy

SS-L25.6: SPOOFING ATTACK DETECTION BY ANOMALY DETECTION
Soroush Fatemifar, University of Surrey, United Kingdom; Shervin Rahimzadeh Arashloo, Bilkent University, Turkey; Muhammad Awais, Josef Kittler, University of Surrey, United Kingdom

SS-P1: Recent Advances in the Active Control of Sound

SS-P1.1: A NOVEL APPROACH FOR FEEDFORWARD CONTROL OF NOISE IN DUCTS USING SIMPLIFIED MULTICHANNEL INVERSE FILTERS
Mingsian Bai, Hungyu Chen, Lihao Yang, National Tsing Hua University, Taiwan

SS-P1.2: EQUATION-ERROR MODEL BASED ACTIVE NOISE CANCELLATION SYSTEMS
Chung-Ying Ho, Kuo-Kai Shyu, National Central University, Taiwan; Cheng-Yuan Chang, Sen M. Kuo, Chung Yuan Christian University, Taiwan

SS-P1.3: ACTIVE NOISE CONTROL USING FINITE ELEMENT-BASED VIRTUAL SENSORS
Arthur Berkhoff, Thijs Hekman, University of Twente, Netherlands

SS-P1.4: CAUSALITY AND ROBUSTNESS IN THE REMOTE SENSING OF ACOUSTIC PRESSURE, WITH APPLICATION TO LOCAL ACTIVE SOUND CONTROL
Stephen Elliott, Woomin Jung, Jordan Cheer, University of Southampton, United Kingdom

SS-P1.5: SELECTIVE VIRTUAL SENSING TECHNIQUE FOR MULTI-CHANNEL FEEDFORWARD ACTIVE NOISE CONTROL SYSTEMS
Chuang Shi, Rong Xie, Nan Jiang, Huiyong Li, University of Electronic Science and Technology of China, China; Yoshinobu Kajikawa, Kansai University, Japan

SS-P1.6: SUBBAND OPTIMIZATION AND FILTERING TECHNIQUE FOR PRACTICAL PERSONAL AUDIO SYSTEMS
Hyungjun So, Jung-Woo Choi, Korea Advanced Institute of Science and Technology, Korea (South)

SS-P1.7: ANALYSIS OF MULTICHANNEL VIRTUAL SENSING ACTIVE NOISE CONTROL TO OVERCOME SPATIAL CORRELATION AND CAUSALITY CONSTRAINTS
Dongyuan Shi, Digital Signal Processing Lab, Nanyang Technological University, Singapore; Bhan Lam, Woon-Seng Gan, Nanyang Technological University, Singapore

SS-P2: Learning Methods in Complex and Hypercomplex Domains

SS-P2.1: ESTIMATION OF WIDELY FACTORIZABLE HYPERCOMPLEX SIGNALS WITH UNCERTAIN OBSERVATIONS
Rosa M. Fernandez-Alcala, Jose D. Jimenez-Lopez, Jesus Navarro-Moreno, Juan C. Ruiz-Molina, University of Jaen, Spain; Nicolas Le Bihan, University of Grenoble-Alpes, France

SS-P2.2: EXACT DISTRIBUTION AND HIGH-DIMENSIONAL ASYMPTOTICS FOR IMPROPERNESS TEST OF COMPLEX SIGNALS
Florent Chatelain, Université Grenoble Alpes, France; Nicolas Le Bihan, CNRS, France

SS-P2.3: QUATERNION CONVOLUTIONAL NEURAL NETWORKS FOR HETEROGENEOUS IMAGE PROCESSING
Titouan Parcollet, Université d'Avignon - ORKIS, France; Mohamed Morchid, Georges Linarès, Université d'Avignon, France

SS-P2.4: BIDIRECTIONAL QUATERNION LONG SHORT-TERM MEMORY RECURRENT NEURAL NETWORKS FOR SPEECH RECOGNITION
Titouan Parcollet, Université d'Avignon - ORKIS, France; Mohamed Morchid, Georges Linarès, Université d'Avignon, France; Renato De Mori, McGill University, Canada

SS-P2.5: MULTICHANNEL QUATERNION LEAST MEAN SQUARE ALGORITHM
Clive Cheong Took, Royal Holloway University of London, United Kingdom; Yili Xia, Southeast University, China

SS-P2.6: WIDELY LINEAR KERNELS FOR COMPLEX-VALUED KERNEL ACTIVATION FUNCTIONS
Simone Scardapane, Sapienza University of Rome, Italy; Steven Van Vaerenbergh, University of Cantabria, Spain; Danilo Comminiello, Aurelio Uncini, Sapienza University of Rome, Italy

SS-P2.7: QUATERNION CONVOLUTIONAL NEURAL NETWORKS FOR DETECTION AND LOCALIZATION OF 3D SOUND EVENTS
Danilo Comminiello, Marco Lella, Simone Scardapane, Aurelio Uncini, Sapienza University of Rome, Italy

SS-P2.8: HYPERCOMPLEX LOW RANK MATRIX COMPLETION WITH NON-NEGATIVE CONSTRAINTS VIA CONVEX OPTIMIZATION
Takehiko Mizoguchi, Isao Yamada, Tokyo Institute of Technology, Japan

SS-P3: 3D Vision and its Applications

SS-P3.1: FAST CODING UNIT DECISION FOR INTRA SCREEN CONTENT CODING BASED ON ENSEMBLE LEARNING
Yali Xue, Xu Wang, Shenzhen University, China; Linwei Zhu, Chinese Academy of Sciences, China; Zhaoqing Pan, Nanjing University of Information Science and Technology, China; Sam Kwong, City University of Hong Kong, Hong Kong SAR of China

SS-P3.2: INTERACTIVE SUBJECTIVE STUDY ON PICTURE-LEVEL JUST NOTICEABLE DIFFERENCE OF COMPRESSED STEREOSCOPIC IMAGES
Chunling Fan, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences; Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, China; Yun Zhang, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China; Raouf Hamzaoui, De Montfort University, United Kingdom; Qingshan Jiang, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China

SS-P3.3: 3D POINT CLOUD DENOISING VIA DEEP NEURAL NETWORK BASED LOCAL SURFACE ESTIMATION
Chaojing Duan, Carnegie Mellon University, United States; Siheng Chen, Mitsubishi Electric Research Laboratories, United States; Jelena Kovačević, New York University, United States

SS-P3.4: A MARKERLESS BODY MOTION CAPTURE SYSTEM FOR CHARACTER ANIMATION BASED ON MULTI-VIEW CAMERAS
Jinbao Wang, Ke Lyu, Jian Xue, Pengcheng Gao, Yanfu Yan, University of Chinese Academy of Sciences, China

SS-P3.5: LIGHT FIELD IMAGE COMPRESSION USING DEPTH-BASED CNN IN INTRA PREDICTION
Tingting Zhong, Xin Jin, Lingjun Li, Qionghai Dai, Tsinghua University, China

SS-P3.6: OPTIMIZED COLOR-GUIDED FILTER FOR DEPTH IMAGE DENOISING
Mostafa Ibrahim, Minia University, Egypt; Qiong Liu, Huazhong University of Science and Technology, China

SS-P3.7: SEMI-SUPERVISED DEPTH ESTIMATION FROM A SINGLE IMAGE BASED ON CONFIDENCE LEARNING
Hu Tian, Fei Li, Fujitsu Research & Development Center Co., Ltd., China

SS-P4: Tensor-based Machine Learning for Multi-dimensional Signal Processing

SS-P4.1: BRAIN CORRELATES OF TASK-LOAD AND DEMENTIA ELUCIDATION WITH TENSOR MACHINE LEARNING USING ODDBALL BCI PARADIGM
Tomasz M. Rutkowski, RIKEN Center for Advanced Intelligence Project, Japan; Marcin Koculak, Jagiellonian University, Poland; Masato S. Abe, Mihoko Otake-Matsuura, RIKEN Center for Advanced Intelligence Project, Japan

SS-P4.2: CUTENSOR-TUBAL: OPTIMIZED GPU LIBRARY FOR LOW-TUBAL-RANK TENSORS
Tao Zhang, Shanghai University, China; Xiao-Yang Liu, Columbia University, United States

SS-P4.3: FAST IMPLEMENTATION OF DOUBLE-COUPLED NONNEGATIVE CANONICAL POLYADIC DECOMPOSITION
Xiulin Wang, Dalian University of Technology/University of Jyväskylä, China; Tapani Ristaniemi, University of Jyväskylä, Finland; Fengyu Cong, Dalian University of Technology/University of Jyväskylä, China

SS-P4.4: MEASURING THE TASK INDUCED OSCILLATORY BRAIN ACTIVITY USING TENSOR DECOMPOSITION
Yongjie Zhu, Xueqiao Li, Tapani Ristaniemi, University of Jyvaskyla, Finland; Fengyu Cong, Dalian University of Technology, China

SS-P4.5: TENSOR SUPER-RESOLUTION FOR SEISMIC DATA
Songjie Liao, University of Electronic Science and Technology of China, China; Xiao-Yang Liu, Columbia University, United States; Feng Qian, Miao Yin, Guang-Min Hu, University of Electronic Science and Technology of China, China

SS-P4.6: TOTAL-VARIATION-REGULARIZED TENSOR RING COMPLETION FOR REMOTE SENSING IMAGE RECONSTRUCTION
Wei He, Longhao Yuan, Naoto Yokoya, RIKEN, Japan

SS-P4.7: LEARNING EFFICIENT TENSOR REPRESENTATIONS WITH RING-STRUCTURED NETWORKS
Qibin Zhao, RIKEN Center for Advanced Intelligence Project, Japan; Masashi Sugiyama, RIKEN Center for Advanced Intelligence Project/The University of Tokyo, Japan; Longhao Yuan, Saitama Institute of Technology/RIKEN Center for Advanced Intelligence Project, Japan; Andrzej Cichocki, Skolkovo Institute of Science and Technology, Japan

SS-P4.8: GRAPH REGULARIZED NONNEGATIVE TUCKER DECOMPOSITION FOR TENSOR DATA REPRESENTATION
Yuning Qiu, Guoxu Zhou, Guangdong University of Technology, China; Yu Zhang, Stanford University, China; Shengli Xie, Guangdong University of Technology, China

SS-P5: Multimodal Representation Learning for Language Generation and Understanding

SS-P5.1: MODELS OF VISUALLY GROUNDED SPEECH SIGNAL PAY ATTENTION TO NOUNS: A BILINGUAL EXPERIMENT ON ENGLISH AND JAPANESE
William Havard, LIG, Univ. Grenoble Alpes, France; Jean-Pierre Chevrot, LIDILEM, Univ. Grenoble Alpes, France; Laurent Besacier, LIG, Univ. Grenoble Alpes, France

SS-P5.2: MULTIMODAL ONE-SHOT LEARNING OF SPEECH AND IMAGES
Ryan Eloff, Herman Engelbrecht, Herman Kamper, Stellenbosch University, South Africa

SS-P5.3: LEARNING FROM MULTIVIEW CORRELATIONS IN OPEN-DOMAIN VIDEOS
Nils Holzenberger, Johns Hopkins University, United States; Shruti Palaskar, Carnegie Mellon University, United States; Pranava Madhyastha, Imperial College London, United Kingdom; Florian Metze, Carnegie Mellon University, United States; Raman Arora, Johns Hopkins University, United States

SS-P5.4: WAV2PIX: SPEECH-CONDITIONED FACE GENERATION USING GENERATIVE ADVERSARIAL NETWORKS
Amanda Duarte, Barcelona Supercomputing Center, Spain; Francisco Roldan, Miquel Tubau, Janna Escur, Santiago Pascual, Amaia Salvador, Universitat Politecnica de Catalunya, Spain; Eva Mohedano, Kevin McGuinness, Insight Centre for Data Analytics, Ireland; Jordi Torres, Barcelona Supercomputing Center, Spain; Xavier Giro-i-Nieto, Universitat Politecnica de Catalunya, Spain

SS-P5.5: NEURAL CODES TO FACTOR LANGUAGE IN MULTILINGUAL SPEECH RECOGNITION
Markus Müller, Sebastian Stüker, Alex Waibel, Karlsruhe Institute of Technology, Germany

SS-P5.6: MULTIMODAL SPEAKER ADAPTATION OF ACOUSTIC MODEL AND LANGUAGE MODEL FOR ASR USING SPEAKER FACE EMBEDDING
Yasufumi Moriya, Gareth Jones, Dublin City University, Ireland

SS-P5.7: MULTIMODAL GROUNDING FOR SEQUENCE-TO-SEQUENCE SPEECH RECOGNITION
Ozan Caglayan, Le Mans University, France; Ramon Sanabria, Shruti Palaskar, Carnegie Mellon University, United States; Loïc Barrault, Le Mans University, France; Florian Metze, Carnegie Mellon University, United States