June 14th - 19th, 2020 Seattle, WA
Invited speaker 1: Haibin Ling, Professor, Stony Brook University (Confirmed)
Haibin Ling received B.S. and M.S. from Peking University in 1997 and 2000, respectively, and Ph.D. from University of Maryland in 2006. From 2000 to 2001, he was an assistant researcher at Microsoft Research Asia; from 2006 to 2007, he worked as a postdoctoral scientist at UCLA; from 2007-2008, he worked for Siemens Corporate Research as a research scientist; and from 2008 to 2019, he was a faculty member of the Department of Computer Sciences for Temple University. In fall 2019, he joined the Department of Computer Science of Stony Brook University, where he is now a SUNY Empire Innovation Professor. His research interests include computer vision, augmented reality, medical image analysis, visual privacy protection, and human computer interaction. He received Best Student Paper Award of ACM UIST in 2003 and NSF CAREER Award in 2014. He serves as associate editors for IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), Pattern Recognition (PR), and Computer Vision and Image Understanding (CVIU). He also serves as Area Chairs for CVPR 2014, 2016, 2019 and 2020.
Invited speaker 2: Ming-Hsuan Yang, Professor, University of California, Merced. (Confirmed)
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.
Anticipated target audience as well as expected number of attendees
This workshop targets at researchers and students who are working on object perception, including detection, tracking, motion trend prediction, object re-identification, object recognition/verification, and other related areas. In total 150 attendees are reasonably expected.