MMSP-P1: Multimedia Coding
Tue, 16 Apr, 13:10 - 15:10 (UTC +9)
Location: Poster Zone 5C
Session Type: Poster
Session Chair: Frédéric Dufaux, CNRS, CentraleSupelec, Université Paris-Saclay, France
Track: Multimedia Signal Processing
Click the to view the manuscript on IEEE Xplore Open Preview
 

MMSP-P1.1: Implicit Neural Multiple Description for DNA-based data storage

Trung Hieu Le, Xavier Pic, Jérémy Mateos, Marc Antonini, I3S Laboratory, CNRS and Côte d'Azur University, France
 

MMSP-P1.2: DATA-DRIVEN LATTICES FOR VECTOR QUANTIZATION

Natalie Lang, Itamar Assaf, Omer Bokobza, Nir Shlezinger, Ben-Gurion University of the Negev, Israel
 

MMSP-P1.3: NERI: IMPLICIT NEURAL REPRESENTATION OF LIDAR POINT CLOUD USING RANGE IMAGE SEQUENCE

Ruixiang Xue, Jiaxin Li, Tong Chen, Nanjing University, China; Dandan Ding, Hangzhou Normal University, China; Xun Cao, Zhan Ma, Nanjing University, China
 

MMSP-P1.4: REDUCING THE COMPLEXITY OF NORMALIZING FLOW ARCHITECTURES FOR POINT CLOUD ATTRIBUTE COMPRESSION

Rodrigo Borba Pinheiro, InterDigital, Inc.; CentraleSupélec, France; Jean-Eudes Marvie, InterDigital, Inc., France; Giuseppe Valenzise, Frédéric Dufaux, CentraleSupélec, France
 

MMSP-P1.5: EFFICIENT POINT CLOUD ATTRIBUTE COMPRESSION FRAMEWORK USING ATTRIBUTE-GUIDED GRAPH FOURIER TRANSFORM

Jingshu Zhang, School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, China; Yueru Chen, Peng Cheng Laboratory, Shenzhen, China, China; Guoqing Liu, Minieye Inc., Shenzhen, China, China; Wei Gao, Ge Li, School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, China
 

MMSP-P1.6: ECM-OPCC: EFFICIENT CONTEXT MODEL FOR OCTREE-BASED POINT CLOUD COMPRESSION

Yiqi Jin, Ziyu Zhu, Tsinghua University, China; TongDa Xu, Yuhuan Lin, Yan Wang, AIR, Tsinghua University, China
 

MMSP-P1.7: A TRI-DYNAMIC PREPROCESSING FRAMEWORK FOR UGC VIDEO COMPRESSION

Fei Zhao, Peking University, China; Mengxi Guo, Shijie Zhao, Junlin Li, Li Zhang, Bytedance, China; Xiaodong Xie, Peking University, China
 

MMSP-P1.8: SCANPCGC: LEARNING-BASED LOSSLESS POINT CLOUD GEOMETRY COMPRESSION USING SEQUENTIAL SLICE REPRESENTATION

Jiangwei Deng, Yuhao An, Thomas H.Li, School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, China; Shan Liu, Tencent America, United States of America; Ge Li, School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, China
 

MMSP-P1.9: EFFICIENT POINT CLOUD ATTRIBUTE COMPRESSION USING RICH PARALLELIZABLE CONTEXT MODEL

Ruishan Huang, Pengpeng Yu, Shaolin Liao, Fan Liang, Sun Yat-Sen University, China
 

MMSP-P1.10: GENEFORMER: LEARNED GENE COMPRESSION USING TRANSFORMER-BASED CONTEXT MODELING

Zhanbei Cui, Beijing University of Posts and Telecommunications, China; Tongda Xu, Tsinghua University, China; Jia Wang, Xidian University, United States of America; Yu Liao, University of Science and Technology of China, China; Yan Wang, Tsinghua University, China
 

MMSP-P1.11: TEMPORAL CONDITIONAL CODING FOR DYNAMIC POINT CLOUD GEOMETRY COMPRESSION

Bowen Huang, Davi Lazzarotto, Touradj Ebrahimi, Ecole Polytechnique Fédérale de Lausanne, Switzerland

MMSP-P1.12: Utility-driven Joint Caching and Bitrate Allocation for Real-Time Immersive Videos

Jinxi Li, Yutong Xu, Yang Cao, Jiaxin Zhu, Desheng Wang, Huazhong University of Science and Technology, China