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Sean Segal

Sean is a research scientist at Uber ATG R&D. He is also a Master’s student at the University of Toronto supervised by Professor Raquel Urtasun. His research interests include deep learning, computer vision and scenario recognition. Before joining the University of Toronto, Sean studied Computer Science & Economics at Brown University.

Recent Publications

Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction

Ajay Jain*, Sergio Casas*, Renjie Liao*, Yuwen Xiong*, Song Feng, Sean Segal, Raquel Urtasun