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Wenyuan Zeng
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2020 – today
- 2024
- [j2]Dingwen Zhang
, Guangyu Guo
Generalized Weakly Supervised Object Localization. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5395-5406 (2024) - 2023
- [i22]Chris Zhang, Runsheng Guo, Wenyuan Zeng, Yuwen Xiong, Binbin Dai, Rui Hu, Mengye Ren, Raquel Urtasun:
Rethinking Closed-loop Training for Autonomous Driving. CoRR abs/2306.15713 (2023) - 2022
- [j1]Dingwen Zhang, Wenyuan Zeng, Jieru Yao, Junwei Han
Weakly Supervised Object Detection Using Proposal- and Semantic-Level Relationships. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 3349-3363 (2022) - [c18]Chris Zhang, Runsheng Guo, Wenyuan Zeng, Yuwen Xiong, Binbin Dai, Rui Hu, Mengye Ren, Raquel Urtasun:
Rethinking Closed-Loop Training for Autonomous Driving. ECCV (39) 2022: 264-282 - 2021
- [c17]Sean Segal, Nishanth Kumar, Sergio Casas, Wenyuan Zeng, Mengye Ren, Jingkang Wang, Raquel Urtasun:
Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes. CoRL 2021: 816-826 - [c16]Julieta Martinez, Jashan Shewakramani, Ting-Wei Liu, Ioan Andrei Barsan, Wenyuan Zeng, Raquel Urtasun:
Permute, Quantize, and Fine-Tune: Efficient Compression of Neural Networks. CVPR 2021: 15699-15708 - [c15]Yuwen Xiong, Mengye Ren, Wenyuan Zeng, Raquel Urtasun Waabi:
Self-Supervised Representation Learning from Flow Equivariance. ICCV 2021: 10171-10180 - [c14]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 - [c13]Jerry Liu, Wenyuan Zeng, Raquel Urtasun, Ersin Yumer:
Deep Structured Reactive Planning. ICRA 2021: 4897-4904 - [c12]Wenyuan Zeng, Ming Liang, Renjie Liao, Raquel Urtasun:
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting. IROS 2021: 532-539 - [c11]Katie Luo, Sergio Casas, Renjie Liao, Xinchen Yan, Yuwen Xiong, Wenyuan Zeng, Raquel Urtasun:
Safety-Oriented Pedestrian Occupancy Forecasting. IROS 2021: 1015-1022 - [i21]Katie Luo, Sergio Casas, Renjie Liao, Xinchen Yan, Yuwen Xiong, Wenyuan Zeng, Raquel Urtasun:
Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting. CoRR abs/2101.02385 (2021) - [i20]Yuwen Xiong, Mengye Ren, Wenyuan Zeng, Raquel Urtasun:
Self-Supervised Representation Learning from Flow Equivariance. CoRR abs/2101.06553 (2021) - [i19]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) - [i18]Wenyuan Zeng, Yuwen Xiong, Raquel Urtasun:
Network Automatic Pruning: Start NAP and Take a Nap. CoRR abs/2101.06608 (2021) - [i17]Wenyuan Zeng, Ming Liang, Renjie Liao, Raquel Urtasun:
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting. CoRR abs/2101.06653 (2021) - [i16]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) - [i15]Jerry Liu
Deep Structured Reactive Planning. CoRR abs/2101.06832 (2021) - [i14]Sean Segal, Nishanth Kumar, Sergio Casas, Wenyuan Zeng, Mengye Ren, Jingkang Wang, Raquel Urtasun:
Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes. CoRR abs/2104.03956 (2021) - [i13]Dingwen Zhang, Wenyuan Zeng, Guangyu Guo, Chaowei Fang, Lechao Cheng, Junwei Han:
Weakly Supervised Semantic Segmentation via Alternative Self-Dual Teaching. CoRR abs/2112.09459 (2021) - 2020
- [c10]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 - [c9]Ming Liang, Bin Yang, Wenyuan Zeng, Yun Chen
PnPNet: End-to-End Perception and Prediction With Tracking in the Loop. CVPR 2020: 11550-11559 - [c8]Wenyuan Zeng, Shenlong Wang, Renjie Liao, Yun Chen
DSDNet: Deep Structured Self-driving Network. ECCV (21) 2020: 156-172 - [c7]Jiayuan Gu
Weakly-Supervised 3D Shape Completion in the Wild. ECCV (5) 2020: 283-299 - [c6]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 - [c5]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 - [i12]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) - [i11]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) - [i10]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) - [i9]Wenyuan Zeng, Shenlong Wang, Renjie Liao, Yun Chen, Bin Yang, Raquel Urtasun:
DSDNet: Deep Structured self-Driving Network. CoRR abs/2008.06041 (2020) - [i8]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) - [i7]Jiayuan Gu, Wei-Chiu Ma, Sivabalan Manivasagam, Wenyuan Zeng, Zihao Wang, Yuwen Xiong, Hao Su, Raquel Urtasun:
Weakly-supervised 3D Shape Completion in the Wild. CoRR abs/2008.09110 (2020) - [i6]Julieta Martinez, Jashan Shewakramani, Ting-Wei Liu, Ioan Andrei Bârsan, Wenyuan Zeng, Raquel Urtasun:
Permute, Quantize, and Fine-tune: Efficient Compression of Neural Networks. CoRR abs/2010.15703 (2020) - [i5]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)
2010 – 2019
- 2019
- [c4]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 - 2018
- [c3]Mengye Ren, Wenyuan Zeng, Bin Yang, Raquel Urtasun:
Learning to Reweight Examples for Robust Deep Learning. ICML 2018: 4331-4340 - [c2]Shengyang Sun, Guodong Zhang, Chaoqi Wang, Wenyuan Zeng, Jiaman Li, Roger B. Grosse:
Differentiable Compositional Kernel Learning for Gaussian Processes. ICML 2018: 4835-4844 - [i4]Mengye Ren, Wenyuan Zeng, Bin Yang, Raquel Urtasun:
Learning to Reweight Examples for Robust Deep Learning. CoRR abs/1803.09050 (2018) - [i3]Shengyang Sun, Guodong Zhang, Chaoqi Wang, Wenyuan Zeng, Jiaman Li, Roger B. Grosse:
Differentiable Compositional Kernel Learning for Gaussian Processes. CoRR abs/1806.04326 (2018) - 2017
- [c1]Wenyuan Zeng, Yankai Lin
Incorporating Relation Paths in Neural Relation Extraction. EMNLP 2017: 1768-1777 - 2016
- [i2]Wenyuan Zeng, Yankai Lin, Zhiyuan Liu, Maosong Sun:
Incorporating Relation Paths in Neural Relation Extraction. CoRR abs/1609.07479 (2016) - [i1]Wenyuan Zeng, Wenjie Luo, Sanja Fidler, Raquel Urtasun:
Efficient Summarization with Read-Again and Copy Mechanism. CoRR abs/1611.03382 (2016)
Coauthor Index
aka: Raquel Urtasun Waabi
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