Yuwen Xiong 熊郁文

  yuwen.xiong.cs (at) gmail (dot) com

  yuwen (at) cs (dot) toronto (dot) edu

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Publications


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 (* indicates equal contribution)
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 (* indicates equal contribution)
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 (* indicates equal contribution)
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

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Last update: May. 2020