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Wenyuan Zeng
Wenyuan Zeng
University of Toronto
Bestätigte E-Mail-Adresse bei cs.toronto.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Learning to Reweight Examples for Robust Deep Learning
M Ren, W Zeng, B Yang, R Urtasun
ICML 2018, 2018
17492018
End-To-End Interpretable Neural Motion Planner
W Zeng, W Luo, S Suo, A Sadat, B Yang, S Casas, R Urtasun
CVPR 2019, 2019
4832019
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
3942020
LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World
S Manivasagam, S Wang, K Wong, W Zeng, M Sazanovich, S Tan, ...
CVPR 2020, 2020
2352020
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
2002020
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting
W Zeng, M Liang, R Liao, R Urtasun
IROS 2021, 2021
1902021
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
1382020
Efficient summarization with read-again and copy mechanism
W Zeng, W Luo, S Fidler, R Urtasun
arXiv preprint arXiv:1611.03382, 2016
1332016
Dsdnet: Deep structured self-driving network
W Zeng, S Wang, R Liao, Y Chen, B Yang, R Urtasun
ECCV 2020, 2020
1102020
Incorporating relation paths in neural relation extraction
W Zeng, Y Lin, Z Liu, M Sun
EMNLP 2017, 2016
1032016
Differentiable Compositional Kernel Learning for Gaussian Processes
S Sun, G Zhang, C Wang, W Zeng, J Li, R Grosse
ICML 2018, 2018
912018
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
712023
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
622020
End-to-end interpretable motion planner for autonomous vehicles
W Zeng, W Luo, A Sadat, B Yang, R Urtasun
US Patent 11,755,018, 2023
592023
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
552021
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
482020
Self-Supervised Representation Learning from Flow Equivariance
Y Xiong, M Ren, W Zeng, R Urtasun
ICCV 2021, 2021
452021
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
452020
Deep Structured Reactive Planning
J Liu, W Zeng, R Urtasun, E Yumer
ICRA 2021, 2021
322021
MLPrune: Multi-Layer Pruning for Automated Neural Network Compression
W Zeng, R Urtasun
30*2018
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