IVMSP-P19: Image and video coding/compression I
Thu, 18 Apr, 16:30 - 18:30 (UTC +9)
Location: Poster Zone 6C
Session Type: Poster
Session Chair: Zhan Ma, Nanjing University
Track: Image, Video, and Multidimensional Signal Processing
Click the to view the manuscript on IEEE Xplore Open Preview
 

IVMSP-P19.1: ENHANCING ADVERSARIAL TRAINING WITH PRIOR KNOWLEDGE DISTILLATION FOR ROBUST IMAGE COMPRESSION
Zhi Cao, Youneng Bao, Harbin Institute Technology, Shenzhen, China; Fanyang Meng, Peng Cheng Laboratory, China, China; Chao Li, Wen Tan, Genhong Wang, Yongsheng Liang, Harbin Institute Technology, Shenzhen, China
 

IVMSP-P19.2: ENHANCED COLOR PALETTE MODELING FOR LOSSLESS SCREEN CONTENT COMPRESSION
Hannah Och, Friedrich-Alexander Universität Erlangen-Nürnberg, Germany; Shabhrish Reddy Uddehal, Tilo Strutz, Coburg University of Applied Sciences and Arts, Germany; André Kaup, Friedrich-Alexander Universität Erlangen-Nürnberg, Germany
 

IVMSP-P19.3: VOLUMETRIC 3D POINT CLOUD ATTRIBUTE COMPRESSION: LEARNED POLYNOMIAL BILATERAL FILTER FOR PREDICTION
Tam Thuc Do, York University, Canada; Philip Chou, NA, United States of America; Gene Cheung, York University, Canada
 

IVMSP-P19.4: Rate-Quality based Rate Control Model for Neural Video Compression
Shuhong Liao, ShantouUniversity, China; Chuanmin Jia, PekingUniversity, China; Hongfei Fan, ant group, China; Jingwen Yan, ShantouUniversity, China; Siwei Ma, PekingUniversity, China
 

IVMSP-P19.5: QUANTIZED DECODER IN LEARNED IMAGE COMPRESSION FOR DETERMINISTIC RECONSTRUCTION
Esin Koyuncu, Friedrich-Alexander-Universität Erlangen-Nürnberg and Huawei Technologies, Germany; Timofey Solovyev, Johannes Sauer, Elena Alshina, Huawei Technologies, Germany; André Kaup, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
 

IVMSP-P19.6: SURFACE-CONSTRAINED PROGRESSIVE FEATURE PRESERVING POINT CLOUD COMPRESSION
Baoye Zhang, Wenxiang Shen, Tongji University, China; Bin Tan, Jinggangshan University, China; Die Hu, Jun Wu, Fudan University, China
 

IVMSP-P19.7: LEARNED VIDEO COMPRESSION WITH SPATIAL-TEMPORAL OPTIMIZATION
Yiming Wang, Qian Huang, Bin Tang, WenTing Liu, Wenchao Shan, Qian Xu, Hohai University, China
 

IVMSP-P19.8: Geometry Compression Artifact Removal for V-PCC over a Wide Bitrate Range
Jian Xiong, Junhao Wu, Wang Luo, Jiucheng Xie, Hao Gao, Nanjing University of Posts and Telecommunications, China, China
 

IVMSP-P19.9: Leveraging Redundancy in Feature for Efficient Learned Image Compression
Peng Qin, Harbin Institute Technology, Shenzhen, China; Youneng Bao, Harbin Institute of Technology, shenzhen, China; Fanyang Meng, Peng Cheng Laboratory, China, China; Wen Tan, Chao Li, Genhong Wang, Yongsheng Liang, Harbin Institute Technology, Shenzhen, China
 

IVMSP-P19.10: Patch Inherent Feature Guided Mask Selection for Image Compression
Xianhan Huang, Beijing University Of Technology, China; Qingmeng Zhu, Zhipeng Yu, Kun Liu, Hao He, Institute of Software, Chinese Academy of Sciences, China
 

IVMSP-P19.11: Efficient Learned Image Compression with Selective Kernel Residual Module and Channel-wise Causal Context Model
Haisheng Fu, Feng Liang, Xi'an Jiaotong University, Canada; Jie Liang, Zhenman Fang, Simon Fraser University, Canada; Guohe Zhang, Xi'an Jiaotong University, Canada; Jingning Han, Google, United States of America
 

IVMSP-P19.12: TCMP: END-TO-END TOPOLOGICALLY CONSISTENT MAGNITUDE PRUNING FOR MINIATURIZED GRAPH CONVOLUTIONAL NETWORKS
Hichem Sahbi, CNRS Sorbonne University, France