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Yuwen Xiong

Yuwen is a graduate student in the Machine Learning Group at the University of Toronto and a Research Scientist at Uber ATG R&D, supervised in both roles by Professor Raquel Urtasun. Before that, he received his bachelor’s degree in computer science from Zhejiang University in 2018. Yuwen’s research interests include computer vision and machine learning, especially deep learning.

Recent publications

Weakly-supervised 3D Shape Completion in the Wild

Jiayuan Gu, Wei-Chiu Ma, Siva Manivasagam, Wenyuan Zeng, Zihao Wang, Yuwen Xiong, Hao Su, and Raquel Urtasun (ECCV 2020)

LevelSet R-CNN: A Deep Variational Method for Instance Segmentation

Namdar Homayounfar, Yuwen Xiong, Justin Liang, Wei-Chiu Ma, Raquel Urtasun (ECCV 2020)

PolyTransform: Deep Polygon Transformer for Instance Segmentation

Justin Liang, Namdar Homayounfar, Wei-Chiu Ma, Yuwen Xiong, Rui Hu, Raquel Urtasun (CVPR 2020)

Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction

Ajay Jain* , Sergio Casas*, Renjie Liao*, Yuwen Xiong*, Song Feng, Sean Segal, Raquel Urtasun (CoRL 2019)

DMM-Net: Differentiable Mask-Matching Network for Video Instance Segmentation

Xiaohui Zeng, Renjie Liao, Li Gu, Yuwen Xiong, Sanja Fidler, Raquel Urtasun (ICCV 2019)

UPSNet: A Unified Panoptic Segmentation Network

Yuwen Xiong*, Renjie Liao*, Hengshuang Zhao*, Rui Hu, Min Bai, Ersin Yumer, Raquel Urtasun (CVPR 2019, oral)

Deep Rigid Instance Scene Flow

Wei-Chiu Ma, Shenlong Wang, Rui Hu, Yuwen Xiong, Raquel Urtasun (CVPR 2019)

Reviving and Improving Recurrent Back-Propagation

Renjie Liao, Yuwen Xiong, Ethan Fetaya, Lisa Zhang, KiJung Yoon, Xaq Pitkow, Raquel Urtasun, Richard Zemel (ICML 2018, oral)

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 (ICLR 2018, workshop)