Ming-Hsuan Yang is a Professor in Electrical Engineering and Computer Science at University of California, Merced. He received the PhD degree in computer science from the University of Illinois at Urbana-Champaign in 2000. He studied computer science and power mechanical engineering at the National Tsing-Hua University, Taiwan; computer science and brain theory at the University of Southern California; and artificial intelligence and operations research at the University of Texas at Austin. He was a senior research scientist at the Honda Research Institute (formerly Honda Fundamental Research Labs) working on vision problems related to humanoid robots. In 1999, he received the Ray Ozzie fellowship for his research work. His research interests include computer vision, pattern recognition, artificial intelligence, robotics, and machine learning. Yang received the Google Faculty Award in 2009, and the Distinguished Early Career Research Award from the UC Merced Senate in 2011. Yang is a recipient of the Faculty Early Career Development (CAREER) award from the National Science Foundation in 2012. In 2015, Yang receives the Distinguished Research Award from UC Merced Senate. He is a Fellow of the IEEE and Senior Member of the ACM.
Joon-Young Lee is a Research Scientist at Adobe Research. He received his M.S and Ph.D. degrees in Electrical Engineering from KAIST, Korea in 2009 and 2015 respectively. During his graduate study, I worked at the Robotics and Computer Vision Lab with Prof. In So Kweon as his advisor. He was an intern at Adobe (San Jose, CA) in 2015 and 2014, and at Microsoft Reseach Asia (Beijing, China) in 2010. He received the B.S degree in Electrical and Electronic Engineering from Yonsei University, Korea in 2008. His research interests include deep learning, computer vision, image/video enhancement, and computational photography.
Chen Change Loy
Chen Change Loy is a Nanyang Associate Professor with the School of Computer Science and Engineering, Nanyang Technological University, Singapore. He is also an Adjunct Associate Professor at the Chinese University of Hong Kong. He received his PhD (2010) in Computer Science from the Queen Mary University of London. Prior to joining NTU, he served as a Research Assistant Professor at the MMLab of the Chinese University of Hong Kong, from 2013 to 2018. He was a postdoctoral researcher at Queen Mary University of London and Vision Semantics Limited, from 2010 to 2013.
His research interests include computer vision and deep learning, with focus on face analysis, image processing, and visual surveillance. He serves as an Associate Editor of the International Journal of Computer Vision. He currently also serves as an Area Chair of CVPR 2019, ECCV 2018 and BMVC 2018. He is a senior member of IEEE.
Dr. Chenliang Xu is currently an Assistant Professor in the Department of Computer Science at the University of Rochester. He received his Ph.D. in Computer Science and Engineering at the University of Michigan in 2016. His research thrusts include computer vision and its relations to natural language, robotics, and data science. He primarily focuses on problems in video understanding such as video segmentation, activity recognition, and multimodal vision-and-x modeling. He also has broader interests in machine learning and deep learning.