IVMSP-L13: Image and video coding/compression
Fri, 19 Apr, 08:20 - 10:20 (UTC +9)
Location: Room 104
Session Type: Lecture
Session Chair: Zhan Ma, Nanjing University
Track: Image, Video, and Multidimensional Signal Processing
Click the to view the manuscript on IEEE Xplore Open Preview
Fri, 19 Apr, 08:20 - 08:40 (UTC +9)
 

IVMSP-L13.1: BANDWIDTH-EFFICIENT INFERENCE FOR NERUAL IMAGE COMPRESSION

Shanzhi Yin, Harbin Institute of Technology, Shenzhen, China; Tongda Xu, Institute for AI Industry Research (AIR), Tsinghua University, China; Yongsheng Liang, Harbin Institute of Technology, Shenzhen, China; Yuanyuan Wang, SenseTime Research, China; Yanghao Li, liyangha18@mails.tsinghua.edu.cn, China; Yan Wang, Jingjing Liu, Institute for AI Industry Research (AIR), Tsinghua University, China
Fri, 19 Apr, 08:40 - 09:00 (UTC +9)
 

IVMSP-L13.2: Improving Learned Video Compression by Exploring Spatial Redundancy

Jiayu Yang, Chunhui Yang, Yongqi Zhai, Peking University, China; Qi Wang, Xinghao Pan, MIGU Video Co., Ltd., China; Ronggang Wang, Peking University, China
Fri, 19 Apr, 09:00 - 09:20 (UTC +9)
 

IVMSP-L13.3: LVC-LGMC: JOINT LOCAL AND GLOBAL MOTION COMPENSATION FOR LEARNED VIDEO COMPRESSION

Wei Jiang, Junru Li, Kai Zhang, Li Zhang, Bytedance, China
Fri, 19 Apr, 09:20 - 09:40 (UTC +9)
 

IVMSP-L13.4: MULTISCALE AUGMENTED NORMALIZING FLOWS FOR IMAGE COMPRESSION

Marc Windsheimer, Fabian Brand, André Kaup, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
Fri, 19 Apr, 09:40 - 10:00 (UTC +9)
 

IVMSP-L13.5: VCD: A Video Conferencing Dataset for Video Compression

Babak Naderi, Ross Cutler, Nabakumar Singh Khongbantabam, Yasaman Hosseinkashi, Henrik Turbell, Albert Sadovnikov, Quan Zou, Microsoft, Germany
Fri, 19 Apr, 10:00 - 10:20 (UTC +9)
 

IVMSP-L13.6: Image Coding for Analytics via Adversarially Augmented Adaptation

Xuelin Shen, Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), China; KangSheng Yin, Xu Wang, Shenzhen University, China; Yulin He, Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), China; Shiqi Wang, City University of Hong Kong, Hong Kong; Wenhan Yang, Peng Cheng Laboratory, China