Wenyuan Zeng

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 42

Top Topics

Gaussian Process

Kernel Learning

Partially Labeled

Relation Extraction

Top Venues

Publications

Dingwen Zhang, Guangyu Guo, Wenyuan Zeng, Lei Li, Junwei Han
Generalized Weakly Supervised Object Localization. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Chris Zhang, Runsheng Guo, Wenyuan Zeng, Yuwen Xiong, Binbin Dai, Rui Hu, Mengye Ren, Raquel Urtasun
Rethinking Closed-loop Training for Autonomous Driving. CoRR (2023)
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) (2022)
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)
Jerry Liu, Wenyuan Zeng, Raquel Urtasun, Ersin Yumer
Deep Structured Reactive Planning. ICRA (2021)
Wenyuan Zeng, Yuwen Xiong, Raquel Urtasun
Network Automatic Pruning: Start NAP and Take a Nap. CoRR (2021)
Katie Luo, Sergio Casas, Renjie Liao, Xinchen Yan, Yuwen Xiong, Wenyuan Zeng, Raquel Urtasun
Safety-Oriented Pedestrian Occupancy Forecasting. IROS (2021)
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)
Yuwen Xiong, Mengye Ren, Wenyuan Zeng, Raquel Urtasun Waabi
Self-Supervised Representation Learning from Flow Equivariance. ICCV (2021)
Wenyuan Zeng, Ming Liang, Renjie Liao, Raquel Urtasun
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting. CoRR (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)
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 (2021)
Yuwen Xiong, Mengye Ren, Wenyuan Zeng, Raquel Urtasun
Self-Supervised Representation Learning from Flow Equivariance. CoRR (2021)
Wenyuan Zeng, Wenjie Luo, Simon Suo, Abbas Sadat, Bin Yang, Sergio Casas, Raquel Urtasun
End-to-end Interpretable Neural Motion Planner. CoRR (2021)
Jerry Liu, Wenyuan Zeng, Raquel Urtasun, Ersin Yumer
Deep Structured Reactive Planning. CoRR (2021)
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)
Dingwen Zhang, Wenyuan Zeng, Guangyu Guo, Chaowei Fang, Lechao Cheng, Junwei Han
Weakly Supervised Semantic Segmentation via Alternative Self-Dual Teaching. CoRR (2021)
Wenyuan Zeng, Ming Liang, Renjie Liao, Raquel Urtasun
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting. IROS (2021)
Katie Luo, Sergio Casas, Renjie Liao, Xinchen Yan, Yuwen Xiong, Wenyuan Zeng, Raquel Urtasun
Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting. CoRR (2021)
Bin Yang, Min Bai, Ming Liang, Wenyuan Zeng, Raquel Urtasun
Auto4D: Learning to Label 4D Objects from Sequential Point Clouds. CoRR (2021)
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 (2020)
Wenyuan Zeng, Shenlong Wang, Renjie Liao, Yun Chen, Bin Yang, Raquel Urtasun
DSDNet: Deep Structured Self-driving Network. ECCV (21) (2020)
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 (2020)
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. ECCV (5) (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)
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)
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)
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)
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)
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)
Wenyuan Zeng, Wenjie Luo, Simon Suo, Abbas Sadat, Bin Yang, Sergio Casas, Raquel Urtasun
End-To-End Interpretable Neural Motion Planner. CVPR (2019)
Mengye Ren, Wenyuan Zeng, Bin Yang, Raquel Urtasun
Learning to Reweight Examples for Robust Deep Learning. ICML (2018)
Shengyang Sun, Guodong Zhang, Chaoqi Wang, Wenyuan Zeng, Jiaman Li, Roger B. Grosse
Differentiable Compositional Kernel Learning for Gaussian Processes. ICML (2018)
Shengyang Sun, Guodong Zhang, Chaoqi Wang, Wenyuan Zeng, Jiaman Li, Roger B. Grosse
Differentiable Compositional Kernel Learning for Gaussian Processes. CoRR (2018)
Mengye Ren, Wenyuan Zeng, Bin Yang, Raquel Urtasun
Learning to Reweight Examples for Robust Deep Learning. CoRR (2018)
Wenyuan Zeng, Yankai Lin, Zhiyuan Liu, Maosong Sun
Incorporating Relation Paths in Neural Relation Extraction. EMNLP (2017)
Wenyuan Zeng, Wenjie Luo, Sanja Fidler, Raquel Urtasun
Efficient Summarization with Read-Again and Copy Mechanism. CoRR (2016)
Wenyuan Zeng, Yankai Lin, Zhiyuan Liu, Maosong Sun
Incorporating Relation Paths in Neural Relation Extraction. CoRR (2016)