Yuwen Xiong

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 50

Top Topics

Autonomous Driving

Compact Representations

Top Venues

Publications

Yuwen Xiong, Zhiqi Li, Yuntao Chen, Feng Wang, Xizhou Zhu, Jiapeng Luo, Wenhai Wang, Tong Lu, Hongsheng Li, Yu Qiao, Lewei Lu, Jie Zhou, Jifeng Dai
Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications. CoRR (2024)
Changyao Tian, Xizhou Zhu, Yuwen Xiong, Weiyun Wang, Zhe Chen, Wenhai Wang, Yuntao Chen, Lewei Lu, Tong Lu, Jie Zhou, Hongsheng Li, Yu Qiao, Jifeng Dai
MM-Interleaved: Interleaved Image-Text Generative Modeling via Multi-modal Feature Synchronizer. CoRR (2024)
Yuwen Xiong, Cong Wang, Chuang Chen, Jiawen Xu, Maode Ma, Tong Zhou
Design of a Blockchain-Based Trust Model for Detecting Cache Poisoning Attakcs in NDN. ICIC (10) (2024)
Lunjun Zhang, Yuwen Xiong, Ze Yang, Sergio Casas, Rui Hu, Raquel Urtasun
Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion. ICLR (2024)
Yuwen Xiong, Wei-Chiu Ma, Jingkang Wang, Raquel Urtasun
UltraLiDAR: Learning Compact Representations for LiDAR Completion and Generation. CoRR (2023)
Lunjun Zhang, Anqi Joyce Yang, Yuwen Xiong, Sergio Casas, Bin Yang, Mengye Ren, Raquel Urtasun
Towards Unsupervised Object Detection From LiDAR Point Clouds. CoRR (2023)
Lunjun Zhang, Yuwen Xiong, Ze Yang, Sergio Casas, Rui Hu, Raquel Urtasun
Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion. CoRR (2023)
Jay Sarva, Jingkang Wang, James Tu, Yuwen Xiong, Sivabalan Manivasagam, Raquel Urtasun
Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation. CoRR (2023)
Chris Zhang, Runsheng Guo, Wenyuan Zeng, Yuwen Xiong, Binbin Dai, Rui Hu, Mengye Ren, Raquel Urtasun
Rethinking Closed-loop Training for Autonomous Driving. CoRR (2023)
Yuwen Xiong, Wei-Chiu Ma, Jingkang Wang, Raquel Urtasun
Learning Compact Representations for LiDAR Completion and Generation. CVPR (2023)
Jay Sarva, Jingkang Wang, James Tu, Yuwen Xiong, Sivabalan Manivasagam, Raquel Urtasun
Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation. CoRL (2023)
Lunjun Zhang, Anqi Joyce Yang, Yuwen Xiong, Sergio Casas, Bin Yang, Mengye Ren, Raquel Urtasun
Towards Unsupervised Object Detection from LiDAR Point Clouds. CVPR (2023)
Anqi Joyce Yang, Sergio Casas, Nikita Dvornik, Sean Segal, Yuwen Xiong, Jordan Sir Kwang Hu, Carter Fang, Raquel Urtasun
LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds. CoRL (2023)
Anqi Joyce Yang, Sergio Casas, Nikita Dvornik, Sean Segal, Yuwen Xiong, Jordan Sir Kwang Hu, Carter Fang, Raquel Urtasun
LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds. CoRR (2023)
Chris Zhang, Runsheng Guo, Wenyuan Zeng, Yuwen Xiong, Binbin Dai, Rui Hu, Mengye Ren, Raquel Urtasun
Rethinking Closed-Loop Training for Autonomous Driving. ECCV (39) (2022)
Wenyuan Zeng, Yuwen Xiong, Raquel Urtasun
Network Automatic Pruning: Start NAP and Take a Nap. CoRR (2021)
Jingkang Wang, Mengye Ren, Ilija Bogunovic, Yuwen Xiong, Raquel Urtasun
Cost-Efficient Online Hyperparameter Optimization. CoRR (2021)
Katie Luo, Sergio Casas, Renjie Liao, Xinchen Yan, Yuwen Xiong, Wenyuan Zeng, Raquel Urtasun
Safety-Oriented Pedestrian Occupancy Forecasting. IROS (2021)
Yuwen Xiong, Mengye Ren, Wenyuan Zeng, Raquel Urtasun Waabi
Self-Supervised Representation Learning from Flow Equivariance. ICCV (2021)
Yuwen Xiong, Mengye Ren, Wenyuan Zeng, Raquel Urtasun
Self-Supervised Representation Learning from Flow Equivariance. CoRR (2021)
Katie Luo, Sergio Casas, Renjie Liao, Xinchen Yan, Yuwen Xiong, Wenyuan Zeng, Raquel Urtasun
Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting. CoRR (2021)
Namdar Homayounfar, Yuwen Xiong, Justin Liang, Wei-Chiu Ma, Raquel Urtasun
LevelSet R-CNN: A Deep Variational Method for Instance Segmentation. ECCV (23) (2020)
Jiayuan Gu, Wei-Chiu Ma, Sivabalan Manivasagam, Wenyuan Zeng, Zihao Wang, Yuwen Xiong, Hao Su, Raquel Urtasun
Weakly-supervised 3D Shape Completion in the Wild. CoRR (2020)
Yuwen Xiong, Mengye Ren, Raquel Urtasun
LoCo: Local Contrastive Representation Learning. CoRR (2020)
Jiayuan Gu, Wei-Chiu Ma, Sivabalan Manivasagam, Wenyuan Zeng, Zihao Wang, Yuwen Xiong, Hao Su, Raquel Urtasun
Weakly-Supervised 3D Shape Completion in the Wild. ECCV (5) (2020)
Justin Liang, Namdar Homayounfar, Wei-Chiu Ma, Yuwen Xiong, Rui Hu, Raquel Urtasun
PolyTransform: Deep Polygon Transformer for Instance Segmentation. CVPR (2020)
Namdar Homayounfar, Yuwen Xiong, Justin Liang, Wei-Chiu Ma, Raquel Urtasun
LevelSet R-CNN: A Deep Variational Method for Instance Segmentation. CoRR (2020)
Yuwen Xiong, Mengye Ren, Raquel Urtasun
LoCo: Local Contrastive Representation Learning. NeurIPS (2020)
Wei-Chiu Ma, Shenlong Wang, Rui Hu, Yuwen Xiong, Raquel Urtasun
Deep Rigid Instance Scene Flow. CoRR (2019)
Xiaohui Zeng, Renjie Liao, Li Gu, Yuwen Xiong, Sanja Fidler, Raquel Urtasun
DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation. CoRR (2019)
Xiaohui Zeng, Renjie Liao, Li Gu, Yuwen Xiong, Sanja Fidler, Raquel Urtasun
DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation. ICCV (2019)
Ajay Jain, Sergio Casas, Renjie Liao, Yuwen Xiong, Song Feng, Sean Segal, Raquel Urtasun
Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction. CoRR (2019)
Wei-Chiu Ma, Shenlong Wang, Rui Hu, Yuwen Xiong, Raquel Urtasun
Deep Rigid Instance Scene Flow. CVPR (2019)
Justin Liang, Namdar Homayounfar, Wei-Chiu Ma, Yuwen Xiong, Rui Hu, Raquel Urtasun
PolyTransform: Deep Polygon Transformer for Instance Segmentation. CoRR (2019)
KiJung Yoon, Renjie Liao, Yuwen Xiong, Lisa Zhang, Ethan Fetaya, Raquel Urtasun, Richard S. Zemel, Xaq Pitkow
Inference in Probabilistic Graphical Models by Graph Neural Networks. ACSSC (2019)
Yuwen Xiong, Mengye Ren, Raquel Urtasun
Learning to Remember from a Multi-Task Teacher. CoRR (2019)
Yuwen Xiong, Renjie Liao, Hengshuang Zhao, Rui Hu, Min Bai, Ersin Yumer, Raquel Urtasun
UPSNet: A Unified Panoptic Segmentation Network. CoRR (2019)
Yuwen Xiong, Mengye Ren, Renjie Liao, Kelvin Wong, Raquel Urtasun
Deformable Filter Convolution for Point Cloud Reasoning. CoRR (2019)
Yuwen Xiong, Renjie Liao, Hengshuang Zhao, Rui Hu, Min Bai, Ersin Yumer, Raquel Urtasun
UPSNet: A Unified Panoptic Segmentation Network. CVPR (2019)
Ajay Jain, Sergio Casas, Renjie Liao, Yuwen Xiong, Song Feng, Sean Segal, Raquel Urtasun
Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction. CoRL (2019)
KiJung Yoon, Renjie Liao, Yuwen Xiong, Lisa Zhang, Ethan Fetaya, Raquel Urtasun, Richard S. Zemel, Xaq Pitkow
Inference in probabilistic graphical models by Graph Neural Networks. ICLR (Workshop) (2018)
KiJung Yoon, Renjie Liao, Yuwen Xiong, Lisa Zhang, Ethan Fetaya, Raquel Urtasun, Richard S. Zemel, Xaq Pitkow
Inference in Probabilistic Graphical Models by Graph Neural Networks. CoRR (2018)
Renjie Liao, Yuwen Xiong, Ethan Fetaya, Lisa Zhang, KiJung Yoon, Xaq Pitkow, Raquel Urtasun, Richard S. Zemel
Reviving and Improving Recurrent Back-Propagation. ICML (2018)
Renjie Liao, Yuwen Xiong, Ethan Fetaya, Lisa Zhang, KiJung Yoon, Xaq Pitkow, Raquel Urtasun, Richard S. Zemel
Reviving and Improving Recurrent Back-Propagation. CoRR (2018)
Xizhou Zhu, Yuwen Xiong, Jifeng Dai, Lu Yuan, Yichen Wei
Deep Feature Flow for Video Recognition. CVPR (2017)
Jifeng Dai, Haozhi Qi, Yuwen Xiong, Yi Li, Guodong Zhang, Han Hu, Yichen Wei
Deformable Convolutional Networks. ICCV (2017)
Jifeng Dai, Haozhi Qi, Yuwen Xiong, Yi Li, Guodong Zhang, Han Hu, Yichen Wei
Deformable Convolutional Networks. CoRR (2017)
Haochao Ying, Liang Chen, Yuwen Xiong, Jian Wu
Collaborative Deep Ranking: A Hybrid Pair-Wise Recommendation Algorithm with Implicit Feedback. PAKDD (2) (2016)
Xizhou Zhu, Yuwen Xiong, Jifeng Dai, Lu Yuan, Yichen Wei
Deep Feature Flow for Video Recognition. CoRR (2016)
Haochao Ying, Liang Chen, Yuwen Xiong, Jian Wu
PGRank: Personalized Geographical Ranking for Point-of-Interest Recommendation. WWW (Companion Volume) (2016)