Yang Zhang

My name is Yang Zhang. I am a perception SWE at Waymo. Before that, I finished my Ph.D. under the supervision of Dr. Hassan Foroosh and Dr. Boqing Gong at the University of Central Florida.

[Google Scholar]

Research Interest

Domain adaptation, Zero-shot learning, Semantic segmentation, Point cloud

Publications

*Equal contribution

PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation. Y. Zhang, Z. Zhou, P. David, X. Yue, Z. Xi, H. Foroosh IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. [Arxiv] [Project/Code]

Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization without Accessing Target Domain Data. X. Yue, Y. Zhang, S. Zhao, A. Sangiovanni-Vincentelli, K. Keutzer, B. Gong. International Conference on Computer Vision (ICCV) 2019 [PDF] [Project/Code]

A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes Y. Zhang, H. Foroosh, P. David, B. Gong. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2019 [PDF] [Arxiv]

CAMOU: Learning Physical Vehicle Camouflages to Adversarially Attack Detectors in the Wild. Y. Zhang, H. Foroosh, P. David, B. Gong. International Conference on Learning Representations (ICLR) 2019 [PDF]

Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes. Y. Zhang, P. David, B. Gong. International Conference on Computer Vision (ICCV) 2017 [PDF] [Project/Code]

Infinite-Label Learning with Semantic Output Codes. Y. Zhang, R. Acharyya, J. Liu, B. Gong. arXiv:1608.06608. [PDF]

Fast Zero-Shot Image Tagging. Y. Zhang, B. Gong, and M. Shah. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, June 2016. [PDF] [Supp.] [Project/Code] [Presentation]