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Bin Yang 0021
Person information
- affiliation: Uber Advanced Technologies Group, USA
- affiliation: University of Toronto, Canada
Other persons with the same name
- Bin Yang (aka: Yang Bin) — disambiguation page
- Bin Yang 0001 — Peking University, Institute of Computer Science and Technology, Beijing, China
- Bin Yang 0002
— Aalborg University, Denmark (and 3 more)
- Bin Yang 0003 — Technical University Munich, Faculty of Civil Engineering and Surveying, Germany
- Bin Yang 0004
— Northwest A&F University, College of Science,Yangling, China (and 1 more)
- Bin Yang 0005
— University Pierre and Marie Curie-Sorbonne University, Paris, France
- Bin Yang 0006
— Huazhong University of Science & Technology, Wuhan, China
- Bin Yang 0007
— Nankai University, College of Software, Tianjin, China
- Bin Yang 0008
— Hunan University, Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Changsha, China (and 2 more)
- Bin Yang 0009
— University of Stuttgart, Institute of Signal Processing and System Theory, Germany (and 2 more)
- Bin Yang 0010
— Aalto University, School of Electrical Engineering, Espoo, Finland (and 2 more)
- Bin Yang 0011 — Central South University, School of Information Science and Engineering, Changsha, China
- Bin Yang 0012
— Fudan University, Department of Electronic Engineering, Key Laboratory for Information Science of Electromagnetic Waves, Shanghai, China (and 1 more)
- Bin Yang 0013 — Central South University, School of Geosciences and Info-Physics, Changsha, China (and 1 more)
- Bin Yang 0014
— Chang'an University, State Engineering Laboratory of Highway Maintenance Equipment, Xi'an, China
- Bin Yang 0015
— Zhengzhou Information Science and Technology Institute, China
- Bin Yang 0016
(aka: Sean Bin Yang) — Aalborg University, Denmark (and 1 more)
- Bin Yang 0017
— Zaozhuang University, School of Information Science and Engineering, China
- Bin Yang 0018
— Dalian University of Technology, School of Control Science and Engineering, China (and 1 more)
- Bin Yang 0019
— East China University of Science and Technology, School of Mechanical and Power Engineering, Shanghai, China
- Bin Yang 0020
— Guangdong University of Technology, School of Civil and Transportation Engineering, Guangzhou, China
- Bin Yang 0022 — Sensetime Group Limited, Shatin, Hong Kong (and 3 more)
- Bin Yang 0023 — Hunan University, College of Electrical and Information Engineering, Changsha, China
- Bin Yang 0024 — Xi'an Jiaotong University, School of Electronics and Information Engineering, China
- Bin Yang 0025
— Jiangnan University, School of Design, Wuxi, China (and 1 more)
- Bin Yang 0026
— Wuhan University, Wuhan, China
- Bin Yang 0027 — Southeast University, Nanjin, China
- Bin Yang 0028
— North China Electric Power University, State Key Laboratory of Alternative Electrical Power System With Renewable Energy Sources, Beijing, China
- Bin Yang 0029
— Tongji University, Department of Structural Engineering, Shanghai, China
- Bin Yang 0030
— University of South China, School of Electrical Engineering, Hengyang, China (and 1 more)
- Bin Yang 0031
— Shanghai Jiao Tong University, National Key Laboratory of Science and Technology on Micro/Nano Fabrication, China
- Bin Yang 0032
— Air Force Military Medical University, Department of Biomedical Engineering, Xi'an, China (and 1 more)
- Bin Yang 0033
(aka: Yang Bin 0033) — Shanghai Maritime University, Logistics Management Department, Graduate School College, China
- Bin Yang 0034
— Hangzhou Dianzi University, School of Cyberspace, China
- Bin Yang 0035
— Zhejiang University of Technology, College of Mechanical Engineering, Hangzhou, China (and 2 more)
- Bin Yang 0036
— Beihang University, School of Reliability and Systems Engineering, Beijing, China (and 1 more)
- Bin Yang 0037
— IoT Software and Systems, Beijing Engineering Research Center, Beijing, China (and 1 more)
- Bin Yang 0038
— China Unicom Research Institute, Beijing, China
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2020 – today
- 2023
- [c24]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: 9317-9328 - [i25]Lunjun Zhang, Anqi Joyce Yang, Yuwen Xiong, Sergio Casas, Bin Yang, Mengye Ren, Raquel Urtasun:
Towards Unsupervised Object Detection From LiDAR Point Clouds. CoRR abs/2311.02007 (2023) - 2021
- [c23]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: 4875-4881 - [c22]Yan Wang, Bin Yang, Rui Hu, Ming Liang, Raquel Urtasun:
PLUMENet: Efficient 3D Object Detection from Stereo Images. IROS 2021: 3383-3390 - [c21]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: 8609-8616 - [i24]Abbas Sadat, Sean Segal, Sergio Casas, James Tu, Bin Yang, Raquel Urtasun, Ersin Yumer:
Diverse Complexity Measures for Dataset Curation in Self-driving. CoRR abs/2101.06554 (2021) - [i23]Bin Yang, Min Bai, Ming Liang, Wenyuan Zeng, Raquel Urtasun:
Auto4D: Learning to Label 4D Objects from Sequential Point Clouds. CoRR abs/2101.06586 (2021) - [i22]Yan Wang, Bin Yang, Rui Hu, Ming Liang, Raquel Urtasun:
PLUME: Efficient 3D Object Detection from Stereo Images. CoRR abs/2101.06594 (2021) - [i21]Wenyuan Zeng, Wenjie Luo, Simon Suo, Abbas Sadat, Bin Yang, Sergio Casas, Raquel Urtasun:
End-to-end Interpretable Neural Motion Planner. CoRR abs/2101.06679 (2021) - 2020
- [c20]Ze Yang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wei-Chiu Ma, Raquel Urtasun:
Recovering and Simulating Pedestrians in the Wild. CoRL 2020: 419-431 - [c19]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: 11164-11173 - [c18]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: 11550-11559 - [c17]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: 13713-13722 - [c16]Wenyuan Zeng, Shenlong Wang, Renjie Liao, Yun Chen, Bin Yang, Raquel Urtasun:
DSDNet: Deep Structured Self-driving Network. ECCV (21) 2020: 156-172 - [c15]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: 312-329 - [c14]Bin Yang, Runsheng Guo, Ming Liang, Sergio Casas, Raquel Urtasun:
RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects. ECCV (18) 2020: 496-512 - [c13]Ming Liang, Bin Yang, Rui Hu, Yun Chen, Renjie Liao, Song Feng, Raquel Urtasun:
Learning Lane Graph Representations for Motion Forecasting. ECCV (2) 2020: 541-556 - [c12]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: 605-621 - [c11]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: 5784-5791 - [i20]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 abs/2004.00543 (2020) - [i19]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 abs/2005.14711 (2020) - [i18]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 abs/2006.09348 (2020) - [i17]Ming Liang, Bin Yang, Rui Hu, Yun Chen, Renjie Liao, Song Feng, Raquel Urtasun:
Learning Lane Graph Representations for Motion Forecasting. CoRR abs/2007.13732 (2020) - [i16]Bin Yang, Runsheng Guo, Ming Liang, Sergio Casas, Raquel Urtasun:
RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects. CoRR abs/2007.14366 (2020) - [i15]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 abs/2008.05927 (2020) - [i14]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 abs/2008.06020 (2020) - [i13]Wenyuan Zeng, Shenlong Wang, Renjie Liao, Yun Chen, Bin Yang, Raquel Urtasun:
DSDNet: Deep Structured self-Driving Network. CoRR abs/2008.06041 (2020) - [i12]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 abs/2008.07519 (2020) - [i11]Bob Wei, Mengye Ren, Wenyuan Zeng, Ming Liang, Bin Yang, Raquel Urtasun:
Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving. CoRR abs/2011.01153 (2020) - [i10]Ze Yang, Siva Manivasagam, Ming Liang, Bin Yang, Wei-Chiu Ma, Raquel Urtasun:
Recovering and Simulating Pedestrians in the Wild. CoRR abs/2011.08106 (2020) - [i9]Ming Liang, Bin Yang, Shenlong Wang, Raquel Urtasun:
Deep Continuous Fusion for Multi-Sensor 3D Object Detection. CoRR abs/2012.10992 (2020) - [i8]Bin Yang, Ming Liang, Raquel Urtasun:
HDNET: Exploiting HD Maps for 3D Object Detection. CoRR abs/2012.11704 (2020) - [i7]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 abs/2012.12395 (2020) - [i6]Ming Liang, Bin Yang, Yun Chen, Rui Hu, Raquel Urtasun:
Multi-Task Multi-Sensor Fusion for 3D Object Detection. CoRR abs/2012.12397 (2020) - [i5]Yun Chen, Bin Yang, Ming Liang, Raquel Urtasun:
Learning Joint 2D-3D Representations for Depth Completion. CoRR abs/2012.12402 (2020)
2010 – 2019
- 2019
- [c10]Ming Liang, Bin Yang, Yun Chen, Rui Hu, Raquel Urtasun:
Multi-Task Multi-Sensor Fusion for 3D Object Detection. CVPR 2019: 7345-7353 - [c9]Wenyuan Zeng, Wenjie Luo, Simon Suo, Abbas Sadat, Bin Yang, Sergio Casas, Raquel Urtasun:
End-To-End Interpretable Neural Motion Planner. CVPR 2019: 8660-8669 - [c8]Yun Chen, Bin Yang, Ming Liang, Raquel Urtasun:
Learning Joint 2D-3D Representations for Depth Completion. ICCV 2019: 10022-10031 - [i4]Bin Yang, Wenjie Luo, Raquel Urtasun:
PIXOR: Real-time 3D Object Detection from Point Clouds. CoRR abs/1902.06326 (2019) - 2018
- [c7]Bin Yang, Ming Liang, Raquel Urtasun:
HDNET: Exploiting HD Maps for 3D Object Detection. CoRL 2018: 146-155 - [c6]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: 3569-3577 - [c5]Bin Yang, Wenjie Luo, Raquel Urtasun:
PIXOR: Real-Time 3D Object Detection From Point Clouds. CVPR 2018: 7652-7660 - [c4]Mengye Ren, Andrei Pokrovsky, Bin Yang, Raquel Urtasun:
SBNet: Sparse Blocks Network for Fast Inference. CVPR 2018: 8711-8720 - [c3]Ming Liang, Bin Yang, Shenlong Wang, Raquel Urtasun:
Deep Continuous Fusion for Multi-sensor 3D Object Detection. ECCV (16) 2018: 663-678 - [c2]Mengye Ren, Wenyuan Zeng, Bin Yang, Raquel Urtasun:
Learning to Reweight Examples for Robust Deep Learning. ICML 2018: 4331-4340 - [i3]Mengye Ren, Andrei Pokrovsky, Bin Yang, Raquel Urtasun:
SBNet: Sparse Blocks Network for Fast Inference. CoRR abs/1801.02108 (2018) - [i2]Mengye Ren, Wenyuan Zeng, Bin Yang, Raquel Urtasun:
Learning to Reweight Examples for Robust Deep Learning. CoRR abs/1803.09050 (2018) - 2017
- [c1]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: 3028-3036 - 2016
- [i1]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 abs/1612.00423 (2016)
Coauthor Index
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