Speaker

Li CHENG is a professor with the Department of Electrical and Computer Engineering, University of Alberta. He is an associate editor of IEEE Transactions on Multimedia. Prior to joining University of Alberta, He worked at A*STAR, Singapore, TTI-Chicago, USA, and NICTA, Australia. His current research interests include human motion analysis, mobile and robot vision, and multimedia data analytics. More recent details can be found at his lab website, https://vision-and-learning-lab-ualberta.github.io/

Abstract

Recent advancement of imaging sensors and deep learning techniques has opened door to many interesting applications for visual analysis of human motions. In this talk, I will discuss our research efforts in the past few years toward addressing the related tasks of 3-D human motion syntheses, pose and shape estimation from event cameras, and visual action quality assessment. Looking forward, our results could be applied to everyday life scenarios such as natural user interface, AR/VR, robotics, and gaming, among others.

Video

Coming soon. Stay tuned. :-)