Quankai Gao(郜泉凯)

I am a first-year Ph.D. student in Computer Science department at the University of Southern California, advised by Prof.Ulrich Neumann. Before coming to USC, I earned my B.E. in Automation Science and Engineering from South China University of Technology. I also worked with Prof.Fernando De La Torre at Carnegie Mellon University as a full-time research assistant.


My research interests lie at computer vision including 3D geometry, scene understanding and 3D human face analysis and generation.


Email  /  CV  /  Google Scholar  /  Github

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Education

University of Southern California, USA.
Ph.D.student in computer science, Sept.2022 to future

South China University of Technology, China.
Bachelor of Engineering in Automation, Sept.2015 to Jun.2019

Experience

Robotics Institute, Carnegie Mellon University, USA
Research Assistant, 2021 to 2022
Advisor: Prof.Fernando De La Torre
—3D huamn face generation with disentanglement and granular control between identity and expression.

Teaching

CSCI 585 Database Systems

Academic Services

Reviewer of the following conferences/journals:

TIP

Publication

Controllable 3D Generative Adversarial Face Model via Disentangling Shape and Appearance
Fariborz Taherkhan, Aashish Rai*, Quankai Gao*, Shaunak Srivastava*, Xuanbai Chen, Fernando de la Torre, Steven Song, Aayush Prakash, Daeil Kim
[Code] [Project Page]
Winter Conference on Applications of Computer Vision (WACV), 2023

Deep Graph Matching under Quadratic Constraint
Quankai Gao, Fudong Wang, Nan Xue, Jin-Gang Yu, Gui-Song Xia
[Code]
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021