Biography

Kwang Moo Yi is an associate professor in the Department of Computer Science at the University of British Columbia (UBC), and a member of the Computer Vision Lab, CAIDA, and ICICS at UBC. Before, he was at the University of Victoria as an assistant professor. Prior to being a professor, he worked as a post-doctoral researcher at the Computer Vision Lab in École Polytechnique Fédérale de Lausanne (EPFL, Switzerland), working with Prof. Pascal Fua and Prof. Vincent Lepetit. He received his Ph.D. from Seoul National University under the supervision of Prof. Jin Young Choi. He also received his B.Sc. from the same University. He serves as area chair for top Computer Vision (CVPR, ICCV, and ECCV) and Machine Learning (NeurIPS, ICML, AAAI) conferences. He was part of the organizing committee for CVPR 2023.

Contact Me

• Busy/Free Calendar
• E-mail: kmyi@cs.ubc.ca
• Office: ICCS/CS 115
• Phone: +1 604 827 4204
• Mail: 201-2366 Main Mall, Vancouver, BC Canada V6T 1Z4

Research

Computer Vision is used everywhere and is already an essential part of our daily lives. My ultimate goal is to improve the quality of human life through smarter vision systems. Towards this goal, I advance Computer Vision in various levels with Machine Learning as the main tool. With the arrival of the Deep Learning revolution, Computer Vision algorithms have become ever more effective, but there is still a lot more in the field to benefit from this advancement.

More specifically, my core research interests lie in Visual Geometry, with the eventual goal of understanding the local environment, adapting to it, and acting within it. This could mean autonomous vehicles, drones, robot, but also Augmented and Mixed reality applications. Hopefully, our methods can lead to a better world.