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I am a second-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. My research interests lie at computer vision and computer graphics including 3D geometry, scene understanding and 3D human face analysis and generation. Email / CV / Google Scholar / Github |
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Google Student Researcher, 2023 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. |
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GSG Professional Development Fund, University of Southern California. 2023 First Prize, The Chinese Mathematics Competitions (CMC), Guangdong. 2018 Finalist Winner, Mathematical Contest in Modeling (MCM/ICM), COMAP. 2018 National Scholarship. 2018 Scholarship of South China University of Technology. 2016, 2017. |
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Teaching Assistant, CSCI 585 Database Systems |
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Reviewer of the following conferences/journals: ECCV, CVPR, TIP |
*denotes equal contribution
Stratified Avatar Generation from Sparse Observations
Han Feng*, Wenchao Ma*, Quankai Gao, Xianwei Zheng, Nan Xue, Huijuan Xu
[Paper] [Code] [Project Page]
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024 (Oral)
InSpaceType: Reconsider Space Type in Indoor Monocular Depth Estimation
Cho-Ying Wu, Quankai Gao, Chin-Cheng Hsu, Te-Lin Wu, Jing-Wen Chen, Ulrich Neumann
[Paper] [Code] [Project Page]
Conference on Robot Learning (CoRL) OOD Workshop, 2023
Strivec: Sparse Tri-Vector Radiance Fields
Quankai Gao*, Qiangeng Xu*, Hao Su, Ulrich Neumann, Zexiang Xu
[Paper] [Code] [Project Page]
Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2023
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
[Paper] [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
[Paper] [Code]
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021