Bin Yang

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 49

Top Topics

Object Detection

Pose Normalization

Top Venues

Publications

Lunjun Zhang, Anqi Joyce Yang, Yuwen Xiong, Sergio Casas, Bin Yang, Mengye Ren, Raquel Urtasun
Towards Unsupervised Object Detection From LiDAR Point Clouds. CoRR (2023)
Lunjun Zhang, Anqi Joyce Yang, Yuwen Xiong, Sergio Casas, Bin Yang, Mengye Ren, Raquel Urtasun
Towards Unsupervised Object Detection from LiDAR Point Clouds. CVPR (2023)
Yan Wang, Bin Yang, Rui Hu, Ming Liang, Raquel Urtasun
PLUME: Efficient 3D Object Detection from Stereo Images. CoRR (2021)
Yan Wang, Bin Yang, Rui Hu, Ming Liang, Raquel Urtasun
PLUMENet: Efficient 3D Object Detection from Stereo Images. IROS (2021)
Abbas Sadat, Sean Segal, Sergio Casas, James Tu, Bin Yang, Raquel Urtasun, Ersin Yumer
Diverse Complexity Measures for Dataset Curation in Self-Driving. IROS (2021)
Bob Wei, Mengye Ren, Wenyuan Zeng, Ming Liang, Bin Yang, Raquel Urtasun
Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving. ICRA (2021)
Wenyuan Zeng, Wenjie Luo, Simon Suo, Abbas Sadat, Bin Yang, Sergio Casas, Raquel Urtasun
End-to-end Interpretable Neural Motion Planner. CoRR (2021)
Abbas Sadat, Sean Segal, Sergio Casas, James Tu, Bin Yang, Raquel Urtasun, Ersin Yumer
Diverse Complexity Measures for Dataset Curation in Self-driving. CoRR (2021)
Bin Yang, Min Bai, Ming Liang, Wenyuan Zeng, Raquel Urtasun
Auto4D: Learning to Label 4D Objects from Sequential Point Clouds. CoRR (2021)
Ming Liang, Bin Yang, Yun Chen, Rui Hu, Raquel Urtasun
Multi-Task Multi-Sensor Fusion for 3D Object Detection. CoRR (2020)
Kelvin Wong, Qiang Zhang, Ming Liang, Bin Yang, Renjie Liao, Abbas Sadat, Raquel Urtasun
Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction. CoRR (2020)
Ze Yang, Siva Manivasagam, Ming Liang, Bin Yang, Wei-Chiu Ma, Raquel Urtasun
Recovering and Simulating Pedestrians in the Wild. CoRR (2020)
Wenjie Luo, Bin Yang, Raquel Urtasun
Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net. CoRR (2020)
James Tu, Mengye Ren, Sivabalan Manivasagam, Ming Liang, Bin Yang, Richard Du, Frank Cheng, Raquel Urtasun
Physically Realizable Adversarial Examples for LiDAR Object Detection. CVPR (2020)
Wenyuan Zeng, Shenlong Wang, Renjie Liao, Yun Chen, Bin Yang, Raquel Urtasun
DSDNet: Deep Structured Self-driving Network. ECCV (21) (2020)
James Tu, Mengye Ren, Siva Manivasagam, Ming Liang, Bin Yang, Richard Du, Frank Cheng, Raquel Urtasun
Physically Realizable Adversarial Examples for LiDAR Object Detection. CoRR (2020)
Lingyun Luke Li, Bin Yang, Ming Liang, Wenyuan Zeng, Mengye Ren, Sean Segal, Raquel Urtasun
End-to-end Contextual Perception and Prediction with Interaction Transformer. CoRR (2020)
Ze Yang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wei-Chiu Ma, Raquel Urtasun
Recovering and Simulating Pedestrians in the Wild. CoRL (2020)
Wenyuan Zeng, Shenlong Wang, Renjie Liao, Yun Chen, Bin Yang, Raquel Urtasun
DSDNet: Deep Structured self-Driving Network. CoRR (2020)
Lingyun Luke Li, Bin Yang, Ming Liang, Wenyuan Zeng, Mengye Ren, Sean Segal, Raquel Urtasun
End-to-end Contextual Perception and Prediction with Interaction Transformer. IROS (2020)
Kelvin Wong, Qiang Zhang, Ming Liang, Bin Yang, Renjie Liao, Abbas Sadat, Raquel Urtasun
Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction. ECCV (26) (2020)
Bob Wei, Mengye Ren, Wenyuan Zeng, Ming Liang, Bin Yang, Raquel Urtasun
Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving. CoRR (2020)
Bin Yang, Runsheng Guo, Ming Liang, Sergio Casas, Raquel Urtasun
RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects. ECCV (18) (2020)
Sivabalan Manivasagam, Shenlong Wang, Kelvin Wong, Wenyuan Zeng, Mikita Sazanovich, Shuhan Tan, Bin Yang, Wei-Chiu Ma, Raquel Urtasun
LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World. CVPR (2020)
Ming Liang, Bin Yang, Wenyuan Zeng, Yun Chen, Rui Hu, Sergio Casas, Raquel Urtasun
PnPNet: End-to-End Perception and Prediction With Tracking in the Loop. CVPR (2020)
Ming Liang, Bin Yang, Rui Hu, Yun Chen, Renjie Liao, Song Feng, Raquel Urtasun
Learning Lane Graph Representations for Motion Forecasting. CoRR (2020)
Bin Yang, Ming Liang, Raquel Urtasun
HDNET: Exploiting HD Maps for 3D Object Detection. CoRR (2020)
Tsun-Hsuan Wang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wenyuan Zeng, James Tu, Raquel Urtasun
V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction. CoRR (2020)
Bin Yang, Runsheng Guo, Ming Liang, Sergio Casas, Raquel Urtasun
RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects. CoRR (2020)
Ming Liang, Bin Yang, Rui Hu, Yun Chen, Renjie Liao, Song Feng, Raquel Urtasun
Learning Lane Graph Representations for Motion Forecasting. ECCV (2) (2020)
Ming Liang, Bin Yang, Shenlong Wang, Raquel Urtasun
Deep Continuous Fusion for Multi-Sensor 3D Object Detection. CoRR (2020)
Yun Chen, Bin Yang, Ming Liang, Raquel Urtasun
Learning Joint 2D-3D Representations for Depth Completion. CoRR (2020)
Ming Liang, Bin Yang, Wenyuan Zeng, Yun Chen, Rui Hu, Sergio Casas, Raquel Urtasun
PnPNet: End-to-End Perception and Prediction with Tracking in the Loop. CoRR (2020)
Tsun-Hsuan Wang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wenyuan Zeng, Raquel Urtasun
V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction. ECCV (2) (2020)
Sivabalan Manivasagam, Shenlong Wang, Kelvin Wong, Wenyuan Zeng, Mikita Sazanovich, Shuhan Tan, Bin Yang, Wei-Chiu Ma, Raquel Urtasun
LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World. CoRR (2020)
Ming Liang, Bin Yang, Yun Chen, Rui Hu, Raquel Urtasun
Multi-Task Multi-Sensor Fusion for 3D Object Detection. CVPR (2019)
Wenyuan Zeng, Wenjie Luo, Simon Suo, Abbas Sadat, Bin Yang, Sergio Casas, Raquel Urtasun
End-To-End Interpretable Neural Motion Planner. CVPR (2019)
Yun Chen, Bin Yang, Ming Liang, Raquel Urtasun
Learning Joint 2D-3D Representations for Depth Completion. ICCV (2019)
Bin Yang, Wenjie Luo, Raquel Urtasun
PIXOR: Real-time 3D Object Detection from Point Clouds. CoRR (2019)
Mengye Ren, Andrei Pokrovsky, Bin Yang, Raquel Urtasun
SBNet: Sparse Blocks Network for Fast Inference. CVPR (2018)
Mengye Ren, Wenyuan Zeng, Bin Yang, Raquel Urtasun
Learning to Reweight Examples for Robust Deep Learning. ICML (2018)
Bin Yang, Wenjie Luo, Raquel Urtasun
PIXOR: Real-Time 3D Object Detection From Point Clouds. CVPR (2018)
Mengye Ren, Andrei Pokrovsky, Bin Yang, Raquel Urtasun
SBNet: Sparse Blocks Network for Fast Inference. CoRR (2018)
Mengye Ren, Wenyuan Zeng, Bin Yang, Raquel Urtasun
Learning to Reweight Examples for Robust Deep Learning. CoRR (2018)
Bin Yang, Ming Liang, Raquel Urtasun
HDNET: Exploiting HD Maps for 3D Object Detection. CoRL (2018)
Ming Liang, Bin Yang, Shenlong Wang, Raquel Urtasun
Deep Continuous Fusion for Multi-sensor 3D Object Detection. ECCV (16) (2018)
Wenjie Luo, Bin Yang, Raquel Urtasun
Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting With a Single Convolutional Net. CVPR (2018)
Shenlong Wang, Min Bai, Gellért Máttyus, Hang Chu, Wenjie Luo, Bin Yang, Justin Liang, Joel Cheverie, Sanja Fidler, Raquel Urtasun
TorontoCity: Seeing the World with a Million Eyes. ICCV (2017)
Shenlong Wang, Min Bai, Gellért Máttyus, Hang Chu, Wenjie Luo, Bin Yang, Justin Liang, Joel Cheverie, Sanja Fidler, Raquel Urtasun
TorontoCity: Seeing the World with a Million Eyes. CoRR (2016)