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Simon Suo

Simon is a Research Scientist at Uber ATG R&D and a graduate student at the University of Toronto, supervised by Professor Raquel Urtasun. His research interest mainly lies in machine learning and robotics. At ATG R&D, he aims to use understanding of interactive scenarios to improve planning and simulation. Before joining the University of Toronto, Simon studied computer science at the University of Waterloo.

Recent publications

Implicit Latent Variable Model for Scene-Consistent Motion Forecasting

Sergio Casas, Cole Gulino, Simon Suo, Katie Luo, Renjie Liao, Raquel Urtasun (ECCV 2020)

Importance of Prior Knowledge in Precise Multimodal Prediction

Sergio Casas*, Cole Gulino*, Simon Suo*, and Raquel Urtasun (IROS 2020, oral)

End-to-End Interpretable Neural Motion Planner

Wenyuan Zeng*, Wenjie Luo*, Simon Suo, Abbas Sadat, Bin Yang, Sergio Casas, Raquel Urtasun (CVPR 2019, oral)

Deep Parametric Continuous Convolutional Neural Networks

Shenlong Wang*, Simon Suo*, Wei-Chiu Ma, Andrei Pokrovsky, Raquel Urtasun (CVPR 2018, spotlight)