SS-01: Neural Network-based Visual Data Compression |
Paper Presentations and Interactive Q&A Time: Monday, 26 October, 09:00 - 13:25 |
Virtual Session: View on Virtual Platform |
Session Chairs: Mounir Kaaniche, Université Sorbonne Paris Nord and Amel Benazza-Benyahia, COSIM Lab., SUP'COM, University of Carthage
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SS-01.1: A STUDY OF PREDICTION METHODS BASED ON MACHINE LEARNING TECHNIQUES FOR LOSSLESS IMAGE CODING |
Ionut Schiopu; Vrije Universiteit Brussel |
Adrian Munteanu; Vrije Universiteit Brussel |
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SS-01.2: OPTIMIZED LIFTING SCHEME BASED ON A DYNAMICAL FULLY CONNECTED NETWORK FOR IMAGE CODING |
Tassnim Dardouri; Université Sorbonne Paris Nord |
Mounir Kaaniche; Université Sorbonne Paris Nord |
Amel Benazza-Benyahia; University of Carthage, SUP’COM |
Jean-Christophe Pesquet; Université Paris Saclay, CentraleSupelec |
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SS-01.3: OPTIMIZED CONVOLUTIONAL NEURAL NETWORKS FOR VIDEO INTRA PREDICTION |
Maria Meyer; RWTH Aachen University |
Jonathan Wiesner; RWTH Aachen University |
Christian Rohlfing; RWTH Aachen University |
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SS-01.4: CHANNEL-WISE AUTOREGRESSIVE ENTROPY MODELS FOR LEARNED IMAGE COMPRESSION |
David Minnen; Google |
Saurabh Singh; Google |
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SS-01.5: HYBRID LEARNING-BASED AND HEVC-BASED CODING OF LIGHT FIELDS |
Milan Stepanov; Universite Paris-Saclay, CNRS, CentraleSupelec, Laboratoire des signaux et systemes |
Giuseppe Valenzise; Universite Paris-Saclay, CNRS, CentraleSupelec, Laboratoire des signaux et systemes |
Frederic Dufaux; Universite Paris-Saclay, CNRS, CentraleSupelec, Laboratoire des signaux et systemes |
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SS-01.6: END-TO-END LEARNING OF COMPRESSIBLE FEATURES |
Saurabh Singh; Google |
Sami Abu-El-Haija; University of Southern California |
Nick Johnston; Google |
Johannes Ballé; Google |
Abhinav Shrivastava; University of Maryland, College Park |
George Toderici; Google |
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SS-01.7: POINT CLOUD GEOMETRY SCALABLE CODING WITH A SINGLE END-TO-END DEEP LEARNING MODEL |
André F. R. Guarda; Instituto Superior Técnico – Universidade de Lisboa and Instituto de Telecomunicações |
Nuno M. Rodrigues; ESTG – Instituto Politécnico de Leiria and Instituto de Telecomunicações |
Fernando Pereira; Instituto Superior Técnico – Universidade de Lisboa and Instituto de Telecomunicações |
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SS-01.8: END-TO-END LEARNED IMAGE COMPRESSION WITH FIXED POINT WEIGHT QUANTIZATION |
Heming Sun; Waseda University |
Zhengxue Cheng; Waseda University |
Masaru Takeuchi; Waseda University |
Jiro Katto; Waseda University |
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SS-01.9: EFFICIENT FIXED-POINT IMPLEMENTATION OF MATRIX-BASED INTRA PREDICTION |
Michael Schäfer; Fraunhofer Heinrich Hertz Institute (HHI) |
Björn Stallenberger; Fraunhofer Heinrich Hertz Institute (HHI) |
Jonathan Pfaff; Fraunhofer Heinrich Hertz Institute (HHI) |
Philipp Helle; Fraunhofer Heinrich Hertz Institute (HHI) |
Heiko Schwarz; Fraunhofer Heinrich Hertz Institute (HHI) |
Detlev Marpe; Fraunhofer Heinrich Hertz Institute (HHI) |
Thomas Wiegand; Fraunhofer Heinrich Hertz Institute (HHI) |
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SS-01.10: SCALABLE LEARNED IMAGE COMPRESSION WITH A RECURRENT NEURAL NETWORKS-BASED HYPERPRIOR |
Rige Su; Waseda University |
Zhengxue Cheng; Waseda University |
Heming Sun; Waseda University |
Jiro Katto; Waseda University |
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SS-01.11: MACHINE LEARNING BASED SYMBOL PROBABILITY DISTRIBUTION PREDICTION FOR ENTROPY CODING IN AV1 |
Mingliang Chen; University of Maryland, College Park |
Hui Su; Google |
Sai Deng; Google |
Yaowu Xu; Google |
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SS-01.12: GUIDED CNN RESTORATION WITH EXPLICITLY SIGNALED LINEAR COMBINATION |
Lingyi Kong; Hangzhou Normal University |
Dandan Ding; Hangzhou Normal University |
Fuchang Liu; Hangzhou Normal University |
Debargha Mukherjee; Google |
Urvang Joshi; Google |
Yue Chen; Google |
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