Keynote

Keynote
PRCV & DICTA 2022 Joint Session
Thematic Forum
Tutorial
Doctoral Consortium
Mu-ming Poo

Member of Chinese Academy of Sciences

Bio: Mu-ming Poo is the director of Institute of Neuroscience, Chinese Academy of Sciences, and Shanghai Center for Brain Science and Brain-Inspired Technology. He is a member of Chinese Academy of Sciences, Academia Sinica, and Hong Kong Academy of Science, and an international member of US National Academy of Sciences. He has received Docteur Honoris Causa from Ecole Normale Supérieure, Claude Bernard University of Lyon,Hong Kong University of Science and Technology, and Claude, and Ameritec Prize,P. R. China International Science and Technology Cooperation Award, Qiushi Distinguished Scientist Award, and Gruber Neuroscience Prize. He currently serves as an editorial board member of many international prestigious journals, such as Neuron, and the executive editor-in-chief of National Science Review. He is also a member of Scientific Advisory Committee of many international institutes such as Queensland Brain Institute.
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Hong Qiao

Member of Chinese Academy of Sciences

Bio: Hong Qiao is a member of the Chinese Academy of Sciences and a Professor of the Institute of Automation, Chinese Academy of Sciences. She serves as a deputy director of the State Key Laboratory of Management and Control for Complex Systems (SKL-MCCS) and a deputy director of the Central Science and Technology Committee of Jiusan Society, and established the Beijing Key Laboratory of Robot "Hand-Eye-Brain" Integrated Intelligence Research and Application. She has been engaged in robot theory and application and has made systematic and creative contributions to human-inspired robot decision-making, perception, control, and structure design. She won the second prize of the National Natural Science Award, the first prize of Beijing Science and Technology, and the first prize of Technological Invention of the Chinese Association of Automation, and ranked first for all awards. She was elected from mainland China for the first time and was reappointed as a member of the Administrative Committee of IEEE Robotics and Automation Society. She served as a member of IEEE Fellow Committee (2022), IEEE Awards Committee (2020, 2021), IEEE Robot Pioneer Award Selection Committee (2021), IEEE Robot and Automation Society Fellow Nomination Committee (2022), etc. She was invited to serve as Editor-in-Chief and Editor for many SCI journals.
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Wen Gao

Member of Chinese Academy of Engineering

Bio: Wen Gao is now a member of the Chinese Academy of Engineering, Director of Pengcheng Laboratory, Peking University Boya Chair Professor, IEEE Fellow and ACM Fellow. He once won the first prize of National Technological Invention Award, and once won the second prize of National Technological Invention Award, and five times won the second prize of National Scientific and Technological Progress Award. He also won the title of "2005 China's Top Ten Educational Talents" and the Wang Xuan Award of China Computer Society. He is mainly engaged in areas of artificial intelligence application and multimedia technology, computer vision, pattern recognition and image processing, and virtual reality. His major publications include "Principles of Digital Video Coding Technology", "Advanced Video Coding Systems", etc. He has published more than 200 papers in international journals and more than 600 papers in international conferences.
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Yaonan Wang

Member of Chinese Academy of Engineering

Bio: Yaonan Wang is an Academician of Chinese Academy, and an expert in robotic and intelligence control. He is serving as a professor of Hunan University and the director of RVC-National Engineering Lab. He is currently a CAA Fellow ( Chinese Association of Automation ), a CCF Fellow ( Chinese Computer Federation Fellow) and a CAAI Fellow (Chinese Association for Artificial Intelligence Fellow). He is also the chairman of the council of Chinses Society of Image and Graphics (CSIG), the vice chairman of the council of China Artificial Intelligence Robot Industry Alliance, a standing member of the council of CAA, a member of the supervisor board of CAAI, a member of the executive committee of Artificial Intelligence and Block Chain Technology in Ministry of Education, and the chairman of the council of Hunan Association of Automation. He was the specialist in intelligent robot area of "863 Plan", and the chief scientist of EU Fifth Framework International Cooperation Major Project.He has long been engaged in research and teaching work of robot perception, control technology and engineering application. He won 1 second prize of the National Technological Invention Award, 3 second prizes of the National Science and Technology Progress Award, and 11 first prizes of the provincial /ministerial level award. Moreover, he has published more than 200 papers indexed by SCI, published 15 scientific books, and obtained more than 80 invention parents. He was also selected as a German Humboldt Scholar. Additionally, he has cultivated more than 70 doctoral students, and won the honorary titles of outstanding backbone teachers of national colleges and universities, national May 1st labor medal, national advanced worker, national innovation competition award, and advanced individual in fighting against the covid-19 in Hunan Province.
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Zhengyou Zhang

Director of AI Lab and Robotics X, Tencent

Bio: Dr. Zhengyou Zhang is currently serving as Director of AI Lab and Robotics X, Tencent, and he is the first T17 distinguished Scientist in Tencent. He is an ACM Fellow (Association for Computing Machinery Fellow) and an IEEE Fellow (Institute of Electrical and Electronics Engineers Fellow), He is also a world-renowned expert in computer vision, multimedia technology, stereo vision, motion analysis, camera calibration, robot navigation, immersive remote interaction. He has published more than 250 papers in top international conferences and journals, which have been cited more than 55,000 times, and he holds nearly 200 issued patents. He received the IEEE Helmholtz Test of Time Award in 2013 for his “Zhang’s method”.
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Kyoung Mu Lee

Editor in Chief of the IEEE TPAMI

Bio: KYOUNG MU LEE (Fellow, IEEE) is currently the Editor in Chief of the IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (TPAMI); He received the B.S. and M.S. degrees in control and instrumentation engineering from Seoul National University (SNU), Seoul, South Korea, in 1984 and 1986, respectively, and the Ph.D. degree in electrical engineering from the University of Southern California, in 1993. He is the director of the Interdisciplinary Graduate Program in Artificial Intelligence at SNU. He is an Advisory Board Member of the Computer Vision Foundation (CVF). He was a Distinguished Lecturer of the Asia-Pacific Signal and Information Processing Association (APSIPA), from 2012 to 2013. He has received several awards, in particular, the Medal of Merit and the Scientist of Engineers of the Month Award from the Korean Government, in 2018 and 2020, respectively; the Most Influential Paper Over the Decade Award by the IAPR Machine Vision Application, in 2009; the ACCV Honorable Mention Award, in 2007; the Okawa Foundation Research Grant Award, in 2006; the Distinguished Professor Award from the College of Engineering of SNU, in 2009; and the SNU Excellence in Research Award in 2020. He has also served as a General Chair for ICCV2019, ACMMM2018, and ACCV2018; a Program Chair for ACCV2012; a Track Chair for ICPR2020 and ICPR2012; and an Area Chair for CVPR, ICCV, and ECCV many times. He has served as an Associate Editor-in-Chief (AEIC) and an Associate Editor for the Machine Vision and Application (MVA) journal, the IPSJ Transactions on Computer Vision and Applications (CVA), and the IEEE SIGNAL PROCESSING LETTERS (SPL); and an Area Editor for the Computer Vision and Image Understanding (CVIU). He is the founding member and served as the President of the Korean Computer Vision Society (KCVS). Prof. Lee is a Fellow of IEEE, a member of the Korean Academy of Science and Technology (KAST) and the National Academy of Engineering of Korea (NAEK).
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