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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

End-to-end Contextual Perception and Prediction with Interaction Transformer

Lingyun Luke Li, Bin Yang, Ming Liang, Wenyuan Zeng, Mengye Ren, Sean Segal, Raquel Urtasun (ECCV 2020, oral)

Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction

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