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Kelvin Wong

Kelvin is a research scientist at Uber ATG R&D. He is also a graduate student at the University of Toronto, where he is supervised by Professor Raquel Urtasun. His research interests include machine learning, computer vision, and their applications to autonomous vehicles.

Recent Publications

OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression

Lila Huang, Shenlong Wang, Kelvin Wong, Jerry Liu, Raquel Urtasun (CVPR 2020, oral)

Identifying Unknown Instances for Autonomous Driving

Kelvin Wong, Shenlong Wang, Mengye Ren, Ming Liang, Raquel Urtasun (CoRL 2019)