Wenyuan Zeng
Title
Cited by
Cited by
Year
Learning to Reweight Examples for Robust Deep Learning
M Ren, W Zeng, B Yang, R Urtasun
ICML 2018, 2018
4732018
End-To-End Interpretable Neural Motion Planner
W Zeng, W Luo, S Suo, A Sadat, B Yang, S Casas, R Urtasun
CVPR 2019, 2019
1042019
Efficient summarization with read-again and copy mechanism
W Zeng, W Luo, S Fidler, R Urtasun
arXiv preprint arXiv:1611.03382, 2016
832016
Incorporating relation paths in neural relation extraction
W Zeng, Y Lin, Z Liu, M Sun
EMNLP 2017, 2016
622016
Differentiable Compositional Kernel Learning for Gaussian Processes
S Sun, G Zhang, C Wang, W Zeng, J Li, R Grosse
ICML 2018, 2018
462018
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
352020
LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World
S Manivasagam, S Wang, K Wong, W Zeng, M Sazanovich, S Tan, ...
CVPR 2020, 2020
312020
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
142020
Dsdnet: Deep structured self-driving network
W Zeng, S Wang, R Liao, Y Chen, B Yang, R Urtasun
ECCV 2020, 2020
142020
MLPrune: Multi-Layer Pruning for Automated Neural Network Compression
W Zeng, R Urtasun
12*2018
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
92020
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
32020
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting
W Zeng, M Liang, R Liao, R Urtasun
arXiv preprint arXiv:2101.06653, 2021
22021
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
22020
Deep Structured Reactive Planning
J Liu, W Zeng, R Urtasun, E Yumer
ICRA 2021, 2021
12021
Self-Supervised Representation Learning from Flow Equivariance
Y Xiong, M Ren, W Zeng, R Urtasun
arXiv preprint arXiv:2101.06553, 2021
12021
Systems and Methods for Vehicle-to-Vehicle Communications for Improved Autonomous Vehicle Operations
S Manivasagam, M Liang, B Yang, W Zeng, R Urtasun, T Wang
US Patent App. 17/066,104, 2021
2021
Systems and Methods for Jointly Performing Perception, Perception, and Motion Planning for an Autonomous System
W Zeng, S Wang, R Liao, Y Chen, B Yang, R Urtasun
US Patent App. 17/022,923, 2021
2021
Systems and Methods for Vehicle-to-Vehicle Communications for Improved Autonomous Vehicle Operations
S Manivasagam, M Liang, B Yang, W Zeng, R Urtasun, T Wang
US Patent App. 17/066,096, 2021
2021
Systems and Methods for Vehicle-to-Vehicle Communications for Improved Autonomous Vehicle Operations
S Manivasagam, M Liang, B Yang, W Zeng, R Urtasun, T Wang
US Patent App. 17/066,108, 2021
2021
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