Ze Yang     杨泽

Ze Yang is studying for a PhD at the Department of Computer Science, University of Toronto, advised by Prof. Raquel Urtasun. Ze is also a Research Scientist at Uber Advanced Technologies Group. His research interests include computer vision, robotics, self-driving and machine learning problems in general. He is particulary intersted in visual perception, 3D reconstruction and simulation, human modeling. Prior to that, Ze received the Master's Degree in Computer Science from Peking University, advised by Prof. Liwei Wang.


Email  /  Github  /  Google Scholar  /  Curriculum Vitae

Publication

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.
[Bibtex]

Dense RepPoints: Representing Visual Objects with Dense Point Sets.

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

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] [Slide]

Learning Relationships for Multi-view 3D Object Recognition.

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

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] [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

Uber Advanced Technologies Group

Research Scientist, Jun. 2020 - Now
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

  • Conference Reviewer: CVPR 2020-2021, ACCV 2021, WACV 2021.
  • Journal Reviewer: IEEE TPAMI.
  • May 4th Scholarship (Highest Honor Scholarship in Peking University).
  • Merit Student, Peking University.
  • 1st Place in TianChi AI Competition for Healthcare (lung nodule detection), 2017.