- Computer Vision
- Machine Learning
- Computer Graphics
- Neural Networks
Leonid Sigal is an Associate Professor in the Department of Computer Science at the University of British Columbia. Prior to that, he was a Senior Research Scientist at Disney Research Pittsburgh and an Adjunct Faculty member at Carnegie Mellon University. He received his PhD in Computer Science from Brown University and completed a postdoctoral fellowship at the University of Toronto. Leonid also serves as scientific advisor for Borealis AI.
Leonid’s research interests are primarily in computer vision, machine learning, and computer graphics. His research focuses on problems of visual and multi-modal (visual, textural, auditory) understanding, reasoning and generation. This includes object recognition, scene understanding, articulated motion capture, action recognition, representation learning, manifold learning, transfer learning, character and cloth animation.
- NSERC Canada Research Chair (Tier 2) in Computer Vision and Machine Learning (2018-2023)
- Recipient of NSERC Discovery Accelerator Supplement (2018-2021)
- Recipient of Killam Accelerator Research Fellowship (2021-2023)
- Associate Editor for IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) and Computer Vision and Image Understanding (CVIU)
- Area chair for ECCV (2014, 2018), IEEE ICCV (2015), IEEE CVPR (2019)