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.