Zeng, Wenyuan

9 publications

ECCV 2022 Rethinking Closed-Loop Training for Autonomous Driving Chris Zhang, Runsheng Guo, Wenyuan Zeng, Yuwen Xiong, Binbin Dai, Rui Hu, Mengye Ren, Raquel Urtasun

CoRL 2021 Just Label What You Need: Fine-Grained Active Selection for P&P Through Partially Labeled Scenes Sean Segal, Nishanth Kumar, Sergio Casas, Wenyuan Zeng, Mengye Ren, Jingkang Wang, Raquel Urtasun

CVPR 2021 Permute, Quantize, and Fine-Tune: Efficient Compression of Neural Networks Julieta Martinez, Jashan Shewakramani, Ting Wei Liu, Ioan Andrei Barsan, Wenyuan Zeng, Raquel Urtasun

ICCV 2021 Self-Supervised Representation Learning from Flow Equivariance Yuwen Xiong, Mengye Ren, Wenyuan Zeng, Raquel Urtasun

ECCV 2020 DSDNet: Deep Structured Self-Driving Network Wenyuan Zeng, Shenlong Wang, Renjie Liao, Yun Chen, Bin Yang, Raquel Urtasun

ECCV 2020 V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction Tsun-Hsuan Wang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wenyuan Zeng, Raquel Urtasun

ECCV 2020 Weakly-Supervised 3D Shape Completion in the Wild Jiayuan Gu, Wei-Chiu Ma, Sivabalan Manivasagam, Wenyuan Zeng, Zihao Wang, Yuwen Xiong, Hao Su, Raquel Urtasun

ICML 2018 Differentiable Compositional Kernel Learning for Gaussian Processes Shengyang Sun, Guodong Zhang, Chaoqi Wang, Wenyuan Zeng, Jiaman Li, Roger Grosse

ICML 2018 Learning to Reweight Examples for Robust Deep Learning Mengye Ren, Wenyuan Zeng, Bin Yang, Raquel Urtasun