Wenyuan Zeng

According to our database1, Wenyuan Zeng authored at least 26 papers between 2016 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2022
Weakly Supervised Object Detection Using Proposal- and Semantic-Level Relationships.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Rethinking Closed-Loop Training for Autonomous Driving.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Weakly Supervised Semantic Segmentation via Alternative Self-Dual Teaching.
CoRR, 2021

Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes.
CoRR, 2021

Network Automatic Pruning: Start NAP and Take a Nap.
CoRR, 2021

Auto4D: Learning to Label 4D Objects from Sequential Point Clouds.
CoRR, 2021

Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting.
CoRR, 2021

LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Safety-Oriented Pedestrian Occupancy Forecasting.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Deep Structured Reactive Planning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Self-Supervised Representation Learning from Flow Equivariance.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Permute, Quantize, and Fine-Tune: Efficient Compression of Neural Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction.
CoRR, 2020

End-to-end Contextual Perception and Prediction with Interaction Transformer.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

DSDNet: Deep Structured Self-driving Network.
Proceedings of the Computer Vision - ECCV 2020, 2020

V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction.
Proceedings of the Computer Vision - ECCV 2020, 2020

Weakly-Supervised 3D Shape Completion in the Wild.
Proceedings of the Computer Vision - ECCV 2020, 2020

LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

PnPNet: End-to-End Perception and Prediction With Tracking in the Loop.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
End-To-End Interpretable Neural Motion Planner.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Differentiable Compositional Kernel Learning for Gaussian Processes.
Proceedings of the 35th International Conference on Machine Learning, 2018

Learning to Reweight Examples for Robust Deep Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Incorporating Relation Paths in Neural Relation Extraction.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016
Efficient Summarization with Read-Again and Copy Mechanism.
CoRR, 2016


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