← Authors

Wenyuan Zeng

13 papers · 2017–2022 · 6 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (5) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (24) 🌍 Conference Polyglot (6) πŸƒ Academic Marathon (5) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (13) 🀝 Dynamic Duo (11) πŸ”₯ Unstoppable (6) πŸ’Ž Century Club (13) πŸ—ƒοΈ Keyword Collector (54) ⚑ Prolific Year (5)

Conferences

CVPR (4) ECCV (4) ICML (2) CORL (1) EMNLP (1) ICCV (1)

Top co-authors

Raquel Urtasun (11) Bin Yang (6) Mengye Ren (4) Yuwen Xiong (3) Sergio Casas (3) Sivabalan Manivasagam (3) Ming Liang (2) Rui Hu (2) Yun Chen (2) Wei-Chiu Ma (2)

Keywords

autonomous driving (3) trajectory prediction (2) neural network (2) active learning (1) representation learning (1) image segmentation (1) neural network compression (1) scene understanding (1) gaussian processes (1) self-supervised learning (1) relation extraction (1) motion forecasting (1) point cloud (1) feature learning (1) motion planning (1) video understanding (1) object tracking (1) sensor fusion (1) kernel learning (1) model compression (1)

Papers

Rethinking Closed-Loop Training for Autonomous Driving ECCV 2022
Self-Supervised Representation Learning From Flow Equivariance ICCV 2021
Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes CORL 2021
Permute, Quantize, and Fine-Tune: Efficient Compression of Neural Networks CVPR 2021
DSDNet: Deep Structured self-Driving Network ECCV 2020
Weakly-supervised 3D Shape Completion in the Wild ECCV 2020
LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World CVPR 2020
PnPNet: End-to-End Perception and Prediction With Tracking in the Loop CVPR 2020
V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction ECCV 2020
End-To-End Interpretable Neural Motion Planner CVPR 2019
Learning to Reweight Examples for Robust Deep Learning ICML 2018
Differentiable Compositional Kernel Learning for Gaussian Processes ICML 2018
Incorporating Relation Paths in Neural Relation Extraction EMNLP 2017