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Lightning Talk
Lightning Talks 1B-3
Chaofei Wang · Qixun Wang · Jing Xu · Long-Kai Huang · Xi Weng · Fei Ye · Harsh Rangwani · shrinivas ramasubramanian · Yifei Wang · Qisen Yang · Xu Luo · Lei Huang · Adrian G. Bors · Ying Wei · Xinglin Pan · Sho Takemori · Hong Zhu · Rui Huang · Lei Zhao · Yisen Wang · Kato Takashi · Shiji Song · Yanan Li · Rao Anwer · Yuhei Umeda · Salman Khan · Gao Huang · Wenjie Pei · Fahad Shahbaz Khan · Venkatesh Babu R · Zenglin Xu

Tue Dec 06 10:00 AM -- 10:15 AM (PST) @
in Featured Papers Panels 1B »

Q&A on RocketChat immediately following Lightning Talks

Author Information

Chaofei Wang (Tsinghua University)
Qixun Wang (Peking University)
Jing Xu (Harbin Institute of Technology, Shenzhen)
Long-Kai Huang (Nanyang Technological University)
Xi Weng (Beijing University of Aeronautics and Astronautics)
Fei Ye (University of York)
Fei Ye

Fei Ye is currently a PHD candidate in computer science from the University of York. He received the bachelor degree from Chengdu University of Technology, China, in 2014 and the master degree in computer science and technology from Southwest Jiaotong University, China, in 2018. His research topics includes deep generative image models, lifelong learning and mixture models.

Harsh Rangwani (Indian Institute of Science)
shrinivas ramasubramanian (Indian Institute of Science)
Yifei Wang (Peking University)
Qisen Yang (Department of Automation, Tsinghua University)
Xu Luo (University of Electronic Science and Technology of China)
Lei Huang (Beihang University)

Lei Huang received his BSc and PhD degrees under supervision of Prof. Wei Li, respectively in 2010 and 2018, at the School of Computer Science and Engineering, Beihang University, China. From 2015 to 2016, he visited the Vision and Learning Lab, University of Michigan, Ann Arbor, as a joint PhD student supervised by Prof. Jia Deng. During 2018 to 2020, he was a research scientist in Inception Institute of Artificial Intelligence (IIAI), UAE. His current research mainly focuses on normalization techniques (involving methods, theories and applications) in training DNNs. He also has wide interests in deep learning theory (representation & optimization) and computers vision tasks. He serves as a reviewer for the top conferences and journals such as CVPR, ICML, ICCV, ECCV, NeurIPS, AAAI, JMLR, TPAMI, IJCV, TNNLS, etc.

Adrian G. Bors (University of York)

Adrian G. Bors received the M.Sc. degree in electronics engineering from the Polytechnic University of Bucharest, Bucharest, Romania, in 1992, and the Ph.D. degree in informatics from the University of Thessaloniki, Thessaloniki, Greece, in 1999. In 1999 he joined the Department of Computer Science, Univ. of York, U.K., where he is currently an Associate Professor. Dr. Bors was a Research Scientist at Tampere Univ. of Technology, Finland, a Visiting Scholar at the Univ. of California at San Diego (UCSD), and an Invited Professor at the Univ. of Montpellier, France. Dr. Bors has authored and co-authored more than 150 research papers including 33 in journals. His research interests include computer vision, computational intelligence and image processing. Dr. Bors was a member of the organising committees for IEEE WIFS 2021, IPTA 2020, IEEE ICIP 2018, 2001, BMVC 2016, IPTA 2014, and CAIP 2013. He was an Associate Editor of the IEEE TRANSACTIONS ON IMAGE PROCESSING from 2010 to 2014 and the IEEE TRANSACTIONS ON NEURAL NETWORKS from 2001 to 2009. He was a Co-Guest Editor for a special issue on Machine Vision for the International Journal for Computer Vision in 2018 and the Journal of Pattern Recognition in 2015. Dr. Bors is a Senior IEEE Member since 2004.

Ying Wei (City University of Hong Kong)
Xinglin Pan (University of Electronic Science and Technology of China)
Sho Takemori (Fujitsu Limited)
Hong Zhu (Huawei)
Rui Huang (Tsinghua University, Tsinghua University)
Lei Zhao (TalkingData)
Yisen Wang (Peking University)
Kato Takashi (Fujitsu Limited)
Shiji Song (Department of Automation, Tsinghua University)
Yanan Li (Zhejiang Lab)
Rao Anwer (Mohamed bin Zayed University of Artificial Intelligence)
Yuhei Umeda (Fujitsu)
Salman Khan (MBZ University of AI)
Gao Huang (Cornell University)
Wenjie Pei (Harbin Institute of Technology, Shenzhen)
Fahad Shahbaz Khan (Inception Institute of Artificial Intelligence)
Venkatesh Babu R (Indian Institute of Science)
Zenglin Xu (Harbin Institute of Technology Shenzhen)

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