|
Yuwen Xiong 熊郁文
yuwen.xiong.cs (at) gmail (dot) com yuwen (at) cs (dot) toronto (dot) edu |
Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for
Vision Applications
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
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024, (Highlight)
[Paper]
[Code]
Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion
Lunjun Zhang,
Yuwen Xiong,
Ze Yang,
Sergio Casas,
Rui Hu,
Raquel Urtasun
International Conference on Learning Representations (ICLR), 2024
[Paper]
[Website]
LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds
Anqi Joyce Yang,
Sergio Casas,
Nikita Dvornik,
Sean Segal,
Yuwen Xiong,
Jordan Sir Kwang Hu,
Carter Fang,
Raquel Urtasun
Conference on Robot Learning (CoRL), 2023
[Paper]
[Website]
Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation
Jay Sarva,
Jingkang Wang,
James Tu,
Yuwen Xiong,
Siva Manivasagam,
Raquel Urtasun
Conference on Robot Learning (CoRL), 2023
[Paper]
[Website]
Learning Compact Representations for LiDAR Completion and Generation
Yuwen Xiong,
Wei-Chiu Ma,
Jingkang Wang,
Raquel Urtasun
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
[Paper]
[Website]
[Third party
implementation]
Towards Unsupervised Object Detection from LiDAR Point Clouds
Lunjun Zhang,
Anqi Joyce Yang,
Yuwen Xiong,
Sergio Casas,
Bin Yang,
Mengye Ren,
Raquel Urtasun
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
[Paper]
[Website]
Rethinking Closed-loop Training for Autonomous Driving
Chris Zhang*,
Runsheng Guo*,
Wenyuan Zeng*,
Yuwen Xiong,
Binbin Dai,
Rui Hu,
Mengye Ren,
Raquel Urtasun
European Conference on Computer Vision (ECCV), 2022
[Paper]
Self-Supervised Representation Learning from Flow Equivariance
Yuwen Xiong,
Mengye Ren,
Wenyuan Zeng,
Raquel Urtasun
International Conference on Computer Vision (ICCV), 2021
[Paper]
Cost-Efficient Online Hyperparameter Optimization
Jingkang Wang*,
Mengye Ren*,
Ilija Bogunovic,
Yuwen Xiong,
Raquel Urtasun
ICML Workshop on Real World Experiment Design and Active Learning, 2020
[Paper]
Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting
Katie Luo,
Sergio Casas,
Renjie Liao,
Xinchen Yan,
Yuwen Xiong,
Wenyuan Zeng,
Raquel Urtasun
International Conference on Intelligent Robots and Systems (IROS), 2021
[Paper]
LoCo: Local Contrastive Representation Learning
Yuwen Xiong,
Mengye Ren,
Raquel Urtasun
Advances in Neural Information Processing Systems (NeurIPS), 2020
[Paper]
LevelSet R-CNN: A Deep Variational Method for Instance Segmentation
Namdar Homayounfar*,
Yuwen Xiong*,
Justin Liang*,
Wei-Chiu Ma,
Raquel Urtasun
European Conference on Computer Vision (ECCV), 2020
[Paper]
Weakly-supervised 3D Shape Completion in the Wild
Jiayuan Gu,
Wei-Chiu Ma,
Siva Manivasagam,
Wenyuan Zeng,
Zihao Wang,
Yuwen Xiong,
Hao Su,
Raquel Urtasun
European Conference on Computer Vision (ECCV), 2020, (Spotlight)
[Paper]
PolyTransform: Deep Polygon Transformer for Instance Segmentation
Justin Liang,
Namdar Homayounfar,
Wei-Chiu Ma,
Yuwen Xiong,
Rui Hu,
Raquel Urtasun
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
[Paper]
Learning to Remember from a Multi-Task Teacher
Yuwen Xiong*,
Mengye Ren*,
Raquel Urtasun
Tech report, arXiv, Oct. 2019
[Paper]
Deformable Filter Convolution for Point Cloud Reasoning
Yuwen Xiong*,
Mengye Ren*,
Renjie Liao,
Kelvin Wong,
Raquel Urtasun
NeurIPS Workshop on
Sets and Partitions, 2019
[Paper]
Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction
Ajay Jain*,
Sergio Casas*,
Renjie Liao*,
Yuwen Xiong*,
Song Feng,
Sean Segal,
Raquel Urtasun
Conference on Robot Learning (CoRL), 2019, (Spotlight)
[Paper]
DMM-Net: Differentiable Mask-Matching Network for Video Instance Segmentation
Xiaohui Zeng*,
Renjie Liao*,
Li Gu,
Yuwen Xiong,
Sanja Fidler,
Raquel Urtasun
International Conference on Computer Vision (ICCV), 2019
[Paper]
[Code]
UPSNet: A Unified Panoptic Segmentation Network
Yuwen Xiong*,
Renjie Liao*,
Hengshuang Zhao*,
Rui Hu,
Min Bai,
Ersin Yumer,
Raquel Urtasun
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 (Oral)
[Paper]
[Code]
Deep Rigid Instance Scene Flow
Wei-Chiu Ma,
Shenlong Wang,
Rui Hu,
Yuwen Xiong,
Raquel Urtasun
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
[Paper]
Reviving and Improving Recurrent Back-Propagation
Renjie Liao*,
Yuwen Xiong*,
Ethan Fetaya,
Lisa Zhang,
KiJung Yoon,
Xaq Pitkow,
Raquel Urtasun,
Richard Zemel
International Conference on Machine Learning (ICML), 2018 (Oral)
[Paper]
[Code]
Inference in Probabilistic Graphical Models by Graph Neural Networks
KiJung Yoon,
Renjie Liao,
Yuwen Xiong,
Lisa Zhang,
Ethan Fetaya,
Raquel Urtasun,
Richard Zemel,
Xaq Pitkow
ICML Workshop on Tractable Probabilistic Modeling, 2019 (Best
Paper Award)
[Paper]
[ICLR 2018
Workshop]
Deformable Convolutional Networks
Jifeng Dai*,
Haozhi Qi*,
Yuwen Xiong*,
Yi Li*,
Guodong Zhang*,
Han Hu,
Yichen Wei
International Conference on Computer Vision (ICCV), 2017 (Oral)
[Paper]
[Code]
[Third party demo on
MNIST]
Deep Feature Flow for Video Recognition
Xizhou Zhu,
Yuwen Xiong,
Jifeng Dai,
Lu Yuan,
Yichen Wei
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
[Paper]
[Code]
[Demo
Video]
PGRank: Personalized Geographical Ranking for Point-of-Interest Recommendation
Haochao Ying,
Liang Chen,
Yuwen Xiong,
Jian Wu
World Wide Web Conference (WWW), 2016
[Paper]
Collaborative Deep Ranking: a Hybrid Pair-wise Recommendation Algorithm with Implicit Feedback
Haochao Ying,
Liang Chen,
Yuwen Xiong,
Jian Wu
The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2016