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
Session:
MMSP-P1: Multimedia Coding Poster
Track:
Multimedia Signal Processing
Location:
Poster Zone 5C
Poster Board PZ-5C.10
Poster Board PZ-5C.10
Presentation Time:
Tue, 16 Apr, 13:10 - 15:10 (UTC +9)
Session Chair:
Frédéric Dufaux, CNRS, CentraleSupelec, Université Paris-Saclay, France
Session MMSP-P1
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
Contacts