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 |
| 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 |
| 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 |
| 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 |
| SS-01.4: CHANNEL-WISE AUTOREGRESSIVE ENTROPY MODELS FOR LEARNED IMAGE COMPRESSION |
| David Minnen; Google |
| Saurabh Singh; Google |
| 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 |
| 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 |
| 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 |
| 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 |
| 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) |
| 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 |
| 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 |
| 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 |