Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction. - Ajay Jain; Sergio Casas 002; Renjie Liao; Yuwen Xiong; Song Feng; Sean Segal; Raquel Urtasun (CoRL, 2019)

Universal Embeddings for Spatio-Temporal Tagging of Self-Driving Logs. - Sean Segal; Eric Kee; Wenjie Luo 002; Abbas Sadat; Ersin Yumer; Raquel Urtasun (CoRL, 2020)

End-to-end Contextual Perception and Prediction with Interaction Transformer. - Lingyun Luke Li; Bin Yang 021; Ming Liang; Wenyuan Zeng; Mengye Ren; Sean Segal; Raquel Urtasun (IROS, 2020)

Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes. - Sean Segal; Nishanth Kumar; Sergio Casas 002; Wenyuan Zeng; Mengye Ren; Jingkang Wang; Raquel Urtasun (CoRL, 2021)

Diverse Complexity Measures for Dataset Curation in Self-Driving. - Abbas Sadat; Sean Segal; Sergio Casas 002; James Tu; Bin Yang 021; Raquel Urtasun; Ersin Yumer (IROS, 2021)

Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes. - Sean Segal; Nishanth Kumar; Sergio Casas 002; Wenyuan Zeng; Mengye Ren; Jingkang Wang; Raquel Urtasun (CoRR, 2021)

LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds. - Anqi Joyce Yang; Sergio Casas 002; Nikita Dvornik; Sean Segal; Yuwen Xiong; Jordan Sir Kwang Hu; Carter Fang; Raquel Urtasun (CoRL, 2023)