TorontoCity: Seeing the World with a Million Eyes. - Shenlong Wang; Min Bai; Gellért Máttyus; Hang Chu; Wenjie Luo 002; Bin Yang 021; Justin Liang 001; Joel Cheverie; Sanja Fidler; Raquel Urtasun (ICCV, 2017)

HDNET: Exploiting HD Maps for 3D Object Detection. - Bin Yang 021; Ming Liang; Raquel Urtasun (CoRL, 2018)

Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting With a Single Convolutional Net. - Wenjie Luo 002; Bin Yang 021; Raquel Urtasun (CVPR, 2018)

SBNet: Sparse Blocks Network for Fast Inference. - Mengye Ren; Andrei Pokrovsky; Bin Yang 021; Raquel Urtasun (CVPR, 2018)

PIXOR: Real-Time 3D Object Detection From Point Clouds. - Bin Yang 021; Wenjie Luo 002; Raquel Urtasun (CVPR, 2018)

Deep Continuous Fusion for Multi-sensor 3D Object Detection. - Ming Liang; Bin Yang 021; Shenlong Wang; Raquel Urtasun (ECCV (16), 2018)

Learning to Reweight Examples for Robust Deep Learning. - Mengye Ren; Wenyuan Zeng; Bin Yang 021; Raquel Urtasun (ICML, 2018)

Multi-Task Multi-Sensor Fusion for 3D Object Detection. - Ming Liang; Bin Yang 021; Yun Chen 014; Rui Hu 001; Raquel Urtasun (CVPR, 2019)

End-To-End Interpretable Neural Motion Planner. - Wenyuan Zeng; Wenjie Luo 002; Simon Suo; Abbas Sadat; Bin Yang 021; Sergio Casas 002; Raquel Urtasun (CVPR, 2019)

Learning Joint 2D-3D Representations for Depth Completion. - Yun Chen 014; Bin Yang 021; Ming Liang; Raquel Urtasun (ICCV, 2019)

Recovering and Simulating Pedestrians in the Wild. - Ze Yang 003; Sivabalan Manivasagam; Ming Liang; Bin Yang 021; Wei-Chiu Ma; Raquel Urtasun (CoRL, 2020)

PnPNet: End-to-End Perception and Prediction With Tracking in the Loop. - Ming Liang; Bin Yang 021; Wenyuan Zeng; Yun Chen 014; Rui Hu 001; Sergio Casas 002; Raquel Urtasun (CVPR, 2020)

LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World. - Sivabalan Manivasagam; Shenlong Wang; Kelvin Wong; Wenyuan Zeng; Mikita Sazanovich; Shuhan Tan; Bin Yang 021; Wei-Chiu Ma; Raquel Urtasun (CVPR, 2020)

Physically Realizable Adversarial Examples for LiDAR Object Detection. - James Tu; Mengye Ren; Sivabalan Manivasagam; Ming Liang; Bin Yang 021; Richard Du; Frank Cheng; Raquel Urtasun (CVPR, 2020)

Learning Lane Graph Representations for Motion Forecasting. - Ming Liang; Bin Yang 021; Rui Hu 001; Yun Chen 014; Renjie Liao; Song Feng; Raquel Urtasun (ECCV (2), 2020)

V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction. - Tsun-Hsuan Wang; Sivabalan Manivasagam; Ming Liang; Bin Yang 021; Wenyuan Zeng; Raquel Urtasun (ECCV (2), 2020)

Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction. - Kelvin Wong; Qiang Zhang; Ming Liang; Bin Yang 021; Renjie Liao; Abbas Sadat; Raquel Urtasun (ECCV (26), 2020)

RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects. - Bin Yang 021; Runsheng Guo 003; Ming Liang; Sergio Casas 002; Raquel Urtasun (ECCV (18), 2020)

DSDNet: Deep Structured Self-driving Network. - Wenyuan Zeng; Shenlong Wang; Renjie Liao; Yun Chen 014; Bin Yang 021; Raquel Urtasun (ECCV (21), 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)

Physically Realizable Adversarial Examples for LiDAR Object Detection. - James Tu; Mengye Ren; Siva Manivasagam; Ming Liang; Bin Yang 021; Richard Du; Frank Cheng; Raquel Urtasun (CoRR, 2020)

V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction. - Tsun-Hsuan Wang; Sivabalan Manivasagam; Ming Liang; Bin Yang 021; Wenyuan Zeng; James Tu; Raquel Urtasun (CoRR, 2020)

Recovering and Simulating Pedestrians in the Wild. - Ze Yang 003; Siva Manivasagam; Ming Liang; Bin Yang 021; Wei-Chiu Ma; Raquel Urtasun (CoRR, 2020)

Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving. - Bob Wei; Mengye Ren; Wenyuan Zeng; Ming Liang; Bin Yang 021; Raquel Urtasun (ICRA, 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)

PLUMENet: Efficient 3D Object Detection from Stereo Images. - Yan Wang 051; Bin Yang 021; Rui Hu 001; Ming Liang; Raquel Urtasun (IROS, 2021)

Auto4D: Learning to Label 4D Objects from Sequential Point Clouds. - Bin Yang 021; Min Bai; Ming Liang; Wenyuan Zeng; Raquel Urtasun (CoRR, 2021)

PLUME: Efficient 3D Object Detection from Stereo Images. - Yan Wang 051; Bin Yang 021; Rui Hu 001; Ming Liang; Raquel Urtasun (CoRR, 2021)

Towards Unsupervised Object Detection from LiDAR Point Clouds. - Lunjun Zhang; Anqi Joyce Yang; Yuwen Xiong; Sergio Casas 002; Bin Yang 021; Mengye Ren; Raquel Urtasun (CVPR, 2023)