Wenyuan Zeng

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Raquel UrtasunFounder & CEO Waabi, Professor, University of Toronto.在 cs.toronto.edu 的電子郵件地址已通過驗證
Bin YangUniversity of Toronto在 cs.toronto.edu 的電子郵件地址已通過驗證
Mengye RenNYU在 nyu.edu 的電子郵件地址已通過驗證
Ming LiangDepartment of Computer Science and Technology, Tsinghua University在 mails.tsinghua.edu.cn 的電子郵件地址已通過驗證
Sergio CasasPhD Student at University of Toronto, Senior Researcher at Waabi在 cs.toronto.edu 的電子郵件地址已通過驗證
Shenlong WangUniversity of Illinois at Urbana-Champaign在 illinois.edu 的電子郵件地址已通過驗證
Renjie LiaoUniversity of British Columbia在 ece.ubc.ca 的電子郵件地址已通過驗證
Wenjie LuoWaymo在 cs.toronto.edu 的電子郵件地址已通過驗證
Wei-Chiu MaMIT在 mit.edu 的電子郵件地址已通過驗證
Yuwen XiongUniversity of Toronto在 cs.toronto.edu 的電子郵件地址已通過驗證
Sean SegalPhD Student at University of Toronto, Research Scientist at Waabi在 cs.toronto.edu 的電子郵件地址已通過驗證
Kelvin WongUniversity of Toronto在 cs.toronto.edu 的電子郵件地址已通過驗證
Yun ChenUniversity of Toronto在 cs.toronto.edu 的電子郵件地址已通過驗證
Simon SuoPhD Student at University of Toronto, Senior Researcher at Waabi在 cs.toronto.edu 的電子郵件地址已通過驗證
Rui HuWaabi在 waabi.ai 的電子郵件地址已通過驗證
Shuhan TanUT Austin在 utexas.edu 的電子郵件地址已通過驗證
Tsun-Hsuan WangMassachusetts Institute of Technology在 mit.edu 的電子郵件地址已通過驗證
Sanja FidlerUniversity of Toronto, NVIDIA在 cs.toronto.edu 的電子郵件地址已通過驗證
Zhiyuan LiuAssociate Professor, Tsinghua University在 tsinghua.edu.cn 的電子郵件地址已通過驗證
Maosong SunProfessor of Computer Science and Technology, Tsinghua University在 tsinghua.edu.cn 的電子郵件地址已通過驗證

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Wenyuan Zeng

University of Toronto

在 cs.toronto.edu 的電子郵件地址已通過驗證 - 首頁

Deep Learning Computer Vision Autonomous Driving


標題按引用次數排序按年份排序按標題排序	引用次數引用次數	年份
Learning to Reweight Examples for Robust Deep Learning M Ren, W Zeng, B Yang, R Urtasun ICML 2018, 2018	1187	2018
End-To-End Interpretable Neural Motion Planner W Zeng, W Luo, S Suo, A Sadat, B Yang, S Casas, R Urtasun CVPR 2019, 2019	281	2019
LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World S Manivasagam, S Wang, K Wong, W Zeng, M Sazanovich, S Tan, ... CVPR 2020, 2020	128	2020
V2vnet: Vehicle-to-vehicle communication for joint perception and prediction TH Wang, S Manivasagam, M Liang, B Yang, W Zeng, R Urtasun ECCV 2020, 2020	121	2020
PnPNet: End-to-End Perception and Prediction with Tracking in the Loop M Liang, B Yang, W Zeng, Y Chen, R Hu, S Casas, R Urtasun CVPR 2020, 2020	112	2020
Efficient summarization with read-again and copy mechanism W Zeng, W Luo, S Fidler, R Urtasun arXiv preprint arXiv:1611.03382, 2016	111	2016
Incorporating relation paths in neural relation extraction W Zeng, Y Lin, Z Liu, M Sun EMNLP 2017, 2016	87	2016
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting W Zeng, M Liang, R Liao, R Urtasun IROS 2021, 2021	76	2021
End-to-end Contextual Perception and Prediction with Interaction Transformer LL Li, B Yang, M Liang, W Zeng, M Ren, S Segal, R Urtasun IROS 2020, 2020	76	2020
Differentiable Compositional Kernel Learning for Gaussian Processes S Sun, G Zhang, C Wang, W Zeng, J Li, R Grosse ICML 2018, 2018	76	2018
Dsdnet: Deep structured self-driving network W Zeng, S Wang, R Liao, Y Chen, B Yang, R Urtasun ECCV 2020, 2020	62	2020
Weakly-supervised 3D Shape Completion in the Wild J Gu, WC Ma, S Manivasagam, W Zeng, Z Wang, Y Xiong, H Su, ... ECCV 2020, 2020	34	2020
Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving B Wei, M Ren, W Zeng, M Liang, B Yang, R Urtasun ICRA 2021, 2020	29	2020
End-To-End Interpretable Motion Planner for Autonomous Vehicles W Zeng, W Luo, A Sadat, B Yang, R Urtasun US Patent App. 16/541,739, 2020	27	2020
Self-Supervised Representation Learning from Flow Equivariance Y Xiong, M Ren, W Zeng, R Urtasun ICCV 2021, 2021	23	2021
Permute, Quantize, and Fine-tune: Efficient Compression of Neural Networks J Martinez, J Shewakramani, TW Liu, IA Bârsan, W Zeng, R Urtasun CVPR 2021, 2020	23	2020
MLPrune: Multi-Layer Pruning for Automated Neural Network Compression W Zeng, R Urtasun	23*	2018
Systems and methods for generating synthetic sensor data via machine learning S Manivasagam, S Wang, WC Ma, KKW Wong, W Zeng, R Urtasun US Patent 11,544,167, 2023	19	2023
Auto4d: Learning to label 4d objects from sequential point clouds B Yang, M Bai, M Liang, W Zeng, R Urtasun arXiv preprint arXiv:2101.06586, 2021	18	2021
Deep Structured Reactive Planning J Liu, W Zeng, R Urtasun, E Yumer ICRA 2021, 2021	17	2021

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