Ze Yang    杨泽

Ze Yang is a third-year Ph.D. student in the Machine Learning Group at the University of Toronto, advised by Prof. Raquel Urtasun. Ze is also a Researcher at Waabi Innovation. His research interests include computer vision, robotics, self-driving and machine learning problems in general. He is particulary intersted in Neural Scene Representation, 3D Modeling and Reconstruction, Visual Perception. Prior to that, Ze received the Master's Degree in Computer Science from Peking University, advised by Prof. Liwei Wang.


Email  /  Github  /  Google Scholar


Publication

UniSim: A Neural Closed-Loop Sensor Simulator

Ze Yang*, Yun Chen*, Jingkang Wang*, Siva Manivasagam*, Wei-Chiu Ma, Anqi Joyce Yang, Raquel Urtasun.
Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
(Highlight)
[Bibtex] [Project] [Video] [4K Demo]

CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Simulation

Jingkang Wang, Siva Manivasagam, Yun Chen, Ze Yang, Ioan Andrei Bârsan, Anqi Joyce Yang, Wei-Chiu Ma, Raquel Urtasun.
Conference on Robot Learning (CoRL), 2022.
[Bibtex] [Poster] [Project] [Video]

Reconstructing Objects in-the-wild for Realistic Sensor Simulation

Ze Yang, Siva Manivasagam, Yun Chen, Jingkang Wang, Rui Hu, Raquel Urtasun.
International Conference on Robotics and Automation (ICRA), 2023.
[Bibtex] [Poster] [Project] [Video]

RBGNet: Ray-based Grouping for 3D Object Detection

Haiyang Wang, Shaoshuai Shi, Ze Yang, Rongyao Fang, Qi Qian, Hongsheng Li, Bernt Schiele, Liwei Wang.
Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
[Bibtex] [Code]

S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling

Ze Yang, Shenlong Wang, Siva Manivasagam, Zeng Huang, Wei-Chiu Ma, Xinchen Yan, Ersin Yumer, Raquel Urtasun.
Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
[Bibtex] [Poster] [Project] [Video]

Recovering and Simulating Pedestrians in the Wild

Ze Yang, Siva Manivasagam, Ming Liang, Bin Yang, Wei-Chiu Ma, Raquel Urtasun.
Conference on Robotic Learning (CoRL), 2020.
(Spotlight)
[Bibtex] [Video]

Dense RepPoints: Representing Visual Objects with Dense Point Sets

Ze Yang*, Yinghao Xu*, Han Xue*, Zheng Zhang, Raquel Urtasun, Liwei Wang, Steve Lin, Han Hu.
European Conference on Computer Vision (ECCV), 2020.
[Bibtex] [Code] [Slide] [Video]

RepPoints: Point Set Representation for Object Detection

Ze Yang*, Shaohui Liu*, Han Hu, Liwei Wang, Steve Lin.
International Conference on Computer Vision (ICCV), 2019.
[Bibtex] [Code] [Poster] [Slide]

Learning Relationships for Multi-view 3D Object Recognition

Ze Yang, Liwei Wang.
International Conference on Computer Vision (ICCV), 2019.
[Bibtex] [Poster]

Learning to Navigate for Fine-grained Classification

Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang.
European Conference on Computer Vision (ECCV), 2018.
[Bibtex] [Code] [Poster] [Slide]

Single Image Super-Resolution with a Parameter Economic Residual-Like Convolutional Neural Network

Ze Yang, Kai Zhang, Yudong Liang, Jinjun Wang.
International Conference on Multimedia Modeling, 2016.
[Bibtex]


Experience

Waabi Innovation

Researcher, Mar. 2020 - Now
Advisor: Prof. Raquel Urtasun.

Uber Advanced Technologies Group

Research Scientist, Jun. 2020 - Mar. 2021
Research Intern, Oct. 2019 - Jun. 2020
Advisor: Prof. Raquel Urtasun.

Microsoft Research Asia

Research Intern, Dec. 2018 - Sept. 2019
Advisor: Dr. Han Hu, Dr. Jifeng Dai, Dr. Steve Lin.

Learning and Vision Lab @ NUS

Visiting Student, Sept. 2016 - Dec. 2016
Advisor: Prof. Jiashi Feng, Prof. Shuicheng Yan.


Miscellaneous