MP1.PC.1

NEURAL FIELD REAL-TIME TRANSMISSION USING MULTIPLE DESCRIPTION CODING WITH RANDOM POSITION SAMPLING

Anustup Choudhury, Guan-Ming Su, Dolby Laboratories, Inc., United States of America

Session:
MP1.PC: Machine Learning for Image and Video Communications Poster

Track:
Applications of Machine Learning

Location:
Poster Area C

Presentation Time:
Mon, 9 Oct, 14:30 - 16:00 Malaysia Time (UTC +8)

Session Chair:
Zhiping Lin, Nanyang Technological University
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Session MP1.PC
MP1.PC.1: NEURAL FIELD REAL-TIME TRANSMISSION USING MULTIPLE DESCRIPTION CODING WITH RANDOM POSITION SAMPLING
Anustup Choudhury, Guan-Ming Su, Dolby Laboratories, Inc., United States of America
MP1.PC.2: NUCQ: NON-UNIFORM CONDITIONAL QUANTIZATION FOR LEARNED IMAGE COMPRESSION
Ziqing Ge, University of Chinese Academy of Sciences, Institute of Computing Technology, Chinese Academy of Sciences, China; Chuanmin Jia, Siwei Ma, Peking University, China; Wen Gao, University of Chinese Academy of Sciences, Institute of Computing Technology, Chinese Academy of Sciences, Peking University, China
MP1.PC.3: LATENT-SHIFT: GRADIENT OF ENTROPY HELPS NEURAL CODECS
Muhammet Balcilar, Bharath Bhushan Damodaran, Karam Naser, Franck Galpin, Pierre Hellier, InterDigital, Inc., France
MP1.PC.4: Lightweight CNN-Based In-loop Filter for VVC Intra Coding
Hao Zhang, Cheolkon Jung, Xidian University, China; Yang Liu, Ming Li, OPPO, China
MP1.PC.5: Learned Image Compression with Large Capacity and Low Redundancy of Latent Representation
Xiandong Meng, Peng Cheng Laboratory, China; Shuyuan Zhu, University of Electronic Science and Technology of China, China; Siwei Ma, Peng Cheng Laboratory, China; Bing Zeng, University of Electronic Science and Technology of China, China
MP1.PC.6: SPATIALLY-ADAPTIVE LEARNING-BASED IMAGE COMPRESSION WITH HIERARCHICAL MULTI-SCALE LATENT SPACES
Fabian Brand, Alexander Kopte, Kristian Fischer, André Kaup, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
MP1.PC.7: EFFICIENT PER-SHOT TRANSFORMER-BASED BITRATE LADDER PREDICTION FOR ADAPTIVE VIDEO STREAMING
Ahmed Telili, INSA Rennes, France; Wassim Hamidouche, Technology Innovation Institute, United Arab Emirates; Sid Ahmed Fezza, National Higher School of Telecommunications and ICT, Algeria; Luce Morin, INSA Rennes, France
MP1.PC.8: JPEG COMPLIANT COMPRESSION FOR DNN VISION
Kaixiang Zheng, Ahmed Salamah, Linfeng Ye, En-hui Yang, University of Waterloo, Canada
MP1.PC.9: SANDWICHED VIDEO COMPRESSION: EFFICIENTLY EXTENDING THE REACH OF STANDARD CODECS WITH NEURAL WRAPPERS
Berivan Isik, Stanford University, United States of America; Onur Guleryuz, Danhang Tang, Jonathan Taylor, Philip Chou, Google, United States of America
MP1.PC.10: Frequency-Aware Re-parameterization for Over-fitting Based Image Compression
Yun Ye, Yanjie Pan, Qually Jiang, Ming Lu, Xiaoran Fang, Beryl Xu, Intel Corporation, China
MP1.PC.11: FREQUENCY DISENTANGLED FEATURES IN NEURAL IMAGE COMPRESSION
Ali Zafari, Atefeh Khoshkhahtinat, Piyush Mehta, Mohammad Saeed Ebrahimi Saadabadi, Mohammad Akyash, Nasser Nasrabadi, West Virginia University, United States of America
MP1.PC.12: ADVANCING THE RATE-DISTORTION-COMPUTATION FRONTIER FOR NEURAL IMAGE COMPRESSION
David Minnen, Nick Johnston, Google, United States of America
Contacts