ZTE Communications ›› 2023, Vol. 21 ›› Issue (4): 1-2.DOI: 10.12142/ZTECOM.202304001
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Special Topic on 3D Point Cloud Processing and Applications
SUN Huifang, LI Ge, CHEN Siheng, LI Li, GAO Wei
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Online:2023-12-25
Published:2023-12-07
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About author:SUN Huifang graduated from Harbin Engineering University, China, and re⁃ceived his PhD degree from University of Ottawa, Canada. He was an associate professor in Fairleigh Dickinson University in 1990. He joined Sarnoff Corpora⁃tion in 1990 as a member of technical staff and was promoted to a technology leader for digital video communication. In 1995, he joined Mitsubishi Electric Research Laboratories (MERL) and was promoted as Vice President and Deputy Director in 2003 and currently is a retired Fellow of MERL. He has co-au⁃thored two books and published more than 160 journal and conference papers. He holds 64 US patents. He won the Technical Achievement Award for optimi⁃zation and specification of the Grand Alliance HDTV video compression algo⁃ rithm in 1994 at Sarnoff Lab. He received the best paper award of 1992 IEEE Transaction on Consumer Electronics, the best paper award of 1996 ICCE and the best paper award of 2003 IEEE Transaction on CSVT. He was an associate editor for IEEE Transaction on Circuits and Systems for Video Technology and was the Chair of Visual Processing Technical Committee of IEEE Circuits and System Society. He is an IEEE life fellow.
LI Ge is currently a full professor at the School of Electronic and Computer En⁃gineering, Peking University, China. He received his PhD degree from the Department of Electrical Engineering, Auburn University, USA in 1999. He has several years of research work experience in industry. His research interests include point cloud compression and its standardization, image/video processing and analysis, machine learning, and signal processing. He has published over 100 high quality papers and holds lots of granted US and global patents. He ac⁃tively submitted many technical proposals to MPEG PCC and is also currently the Lead Chair for the standardization of point cloud compression in the Audio Video Coding Standard (AVS) Workgroup of China. He served as the Panel Chair of IEEE ICME 2021, the International Liaison Chair of PCS 2022, etc.
CHEN Siheng is a tenure-track associate professor of Shanghai Jiao Tong University, China. Before joining Shanghai Jiao Tong University, he was a research scientist at Mitsubishi Electric Research Laboratories (MERL) and an autonomy engineer at Uber Advanced Technologies Group (ATG), working on the perception and prediction systems of self-driving cars. Before joining in⁃dustry, Dr. CHEN was a postdoctoral research associate at Carnegie Mellon University, USA. He received his doctorate in electrical and computer engi⁃neering from Carnegie Mellon University. He has published over 80 papers on prestigious venues, including Nature Computational Science, Nature Scientific Data, IEEE Signal Processing Magazine, IEEE Transactions on Signal Processing, IEEE Transactions on Image Processing, IEEE Transactions on Pat⁃tern Analysis and Machine Intelligence, ICASSP, NeurIPS, ICML, ICLR and CVPR. His work on sampling theory of graph data received the 2018 IEEE Signal Processing Society Young Author Best Paper Award. His co-authored paper on structural health monitoring received ASME SHM/NDE 2020 Best Journal Paper Runner-Up Award and another paper on 3D point cloud processing received the Best Student Paper Award at 2018 IEEE Global Confer⁃ence on Signal and Information Processing. Dr. CHEN contributed to the project of scene-aware interaction, winning MERL Presidents Award. He serves as the associate editor for IEEE Transactions on Signal and Information Processing over Networks. His research interests include collaborative AI and 3D scene understanding.
LI Li Science and Technology of China (USTC), China in 2011 and 2016, re⁃spectively. He was a visiting assistant professor in University of Missouri-Kansas City, USA from 2016 to 2020. He joined the Department of Electronic Engi⁃neering and Information Science of USTC as a research fellow in 2020 and became a professor in 2022. His research interests include image/video/point cloud coding and processing. He received the Best 10% Paper Award at the 2016 IEEE Visual Communications and Image Processing (VCIP) and the 2019IEEE International Conference on Image Processing (ICIP).
GAO Weii is an assistant professor at the School of Electronic and Computer En⁃gineering, Peking University, Shenzhen, China. His research has been focused on perception-inspired multimedia coding and processing, including both efficient algorithms and systems. He won the 2021 IEEE Multimedia Rising Star Runner Up Award for Outstanding Early-stage Career Achievements in the area of 3D Immersive media research. He is currently serving or has served as the associate editor for several international journals on multimedia computing and machine leaning, including Signal Processing, etc. He is also an Elected Member of IEEE CASS VSPC-TC, and APSIPA IVM-TC. He has organized workshops and special sessions at ICME 2023, ACM MM 2022, VCIP 2022, and ICME 2021. He is a tutorial speaker for point cloud related topics at ICME 2023 and ICIP 2023. He is also the leader to establish several open source projects, including OpenPoint Cloud, OpenAICoding, etc. He is a senior member of IEEE.
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