报告人： Sven Dickinson, University of Toronto, Samsung Toronto AI Research，IEEE/IAPR Fellow

报告时间：2022年03月1日 (星期二) 上午10:00 - 11:00

报告地点：Zoom在线会议

https://zoom.us/j/2810019605?pwd=ZzlqRU4zOGZ5TkJYUm9KQlBDcDZwUT09

会议号：281 001 9605

密码：HNU2021

报告摘要：Symmetry is one of the most ubiquitous regularities in our natural world. For almost 100 years, human vision researchers have studied how the human vision system has evolved to exploit this powerful regularity as a basis for grouping image features.   While computer vision is a much younger discipline, the trajectory is similar, with symmetry playing a major role in both perceptual grouping and object representation. After briefly reviewing some of the milestones in symmetry-based perceptual grouping and object representation/recognition in both human and computer vision, I will review our efforts that draw on computer vision to understand the role that symmetry plays in human scene perception. Conversely, I will also look at how these results in human scene perception can strengthen the performance of modern deep learning computer vision systems for scene perception.

报告人简介：Dr. Sven Dickinson received the B.A.Sc. degree in Systems Design Engineering from the University of Waterloo, in 1983, and the M.S. and Ph.D. degrees in Computer Science from the University of Maryland, in 1988 and 1991, respectively. He is Professor and past Chair of the Department of Computer Science at the University of Toronto, and is also Vice President and Head of the new Samsung Toronto AI Research Center, which opened in May, 2018. Prior to that, he was a faculty member at Rutgers University where he held a joint appointment between the Department of Computer Science and the Rutgers Center for Cognitive Science (RuCCS). His research research interests revolve around the problem of shape perception in computer vision and, more recently, human vision. He has received the National Science Foundation CAREER award, the Government of Ontario Premiere's Research Excellence Award (PREA), and the Lifetime Research Achievement Award from the Canadian Image Processing and Pattern Recognition Society (CIPPRS). He was the Editor-in-Chief of the IEEE Transactions on Pattern Analysis and Machine Intelligence, from 2017-2021, currently serves on seven editorial boards, and is co-editor of the Morgan & Claypool Synthesis Lectures on Computer Vision. He is a Fellow of the International Association for Pattern Recognition (IAPR).

邀请人：李肯立

联系人：陈建国