Prof. Leonid Sigal

Photo of Prof. Leonid Sigal

Academic Advisor

PhD Computer Science, University of Toronto

Prof. Sigal is an Associate Professor in the Department of Computer Science at the University of British Columbia and Academic Advisor to the Vancouver Borealis AI research center. Prior to this, he was a Senior Research Scientist at Disney Research Pittsburgh and an Adjunct Faculty member at Carnegie Mellon University. His research focuses on problems of visual understanding and reasoning. This includes object recognition, scene understanding, articulated motion capture, motion modeling, action recognition, motion perception, manifold learning, transfer learning, character and cloth animation and a number of other directions on the intersection of computer vision, machine learning, and computer graphics.

Research Areas

Computer Vision


Aug. 23, 2020

Generating Videos of Zero-Shot Compositions of Actions and Objects

European Conference on Computer Vision (ECCV), 2020
Authors: M. Nawhal, M. Zhai, A. Lehrmann , L. Sigal , G. Mori
Oct. 27, 2019

LayoutVAE: Stochastic Scene Layout Generation from a Label Set

International Conference on Computer Vision (ICCV), 2019
Authors: A. Jyothi, T. Durand , J. He , L. Sigal , G. Mori
June 16, 2019

A Variational Auto-Encoder Model for Stochastic Point Process

Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Authors: N. Mehrasa, A. Jyothi, T. Durand , J. He , L. Sigal , G. Mori
Picture of Prof. Leonid Sigal