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I am a Ph.D. candidate in Computer Science department at the University of Southern California, advised by Prof.Ulrich Neumann. Before that, I earned a master's degree in computer science from USC and 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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Waymo Research Intern, 2025 Adobe Research Intern, 2024 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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Meshy Fellowship Finalist. 2025. 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 580 3D Graphics and Rendering Teaching Assistant, CSCI 585 Database Systems |
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Reviewer of the following conferences/journals: ECCV, CVPR, Neurips, ICRA, 3DV, SIGGRAPH, Eurographics, TPAMI,TIP |
*denotes equal contribution
Can3Tok: Canonical 3D Tokenization and Latent Modeling of Scene-Level 3D Gaussians
Quankai Gao, Iliyan Georgiev, Tuanfeng Yang Wang, Krishna Kumar Singh, Ulrich Neumann+, Jae Shin Yoon+
[Paper] [Code] [Project Page]
Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2025
Gaussianflow: Splatting gaussian dynamics for 4d content creation
Quankai Gao, Qiangeng Xu, Zhe Cao, Ben Mildenhall, Wenchao Ma, Le Chen, Danhang Tang, Ulrich Neumann
[Paper] [Code] [Project Page]
Transactions on Machine Learning Research (TMLR), 2025.
RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands
Le Chen*, Yi Zhao*, Jan Schneider, Quankai Gao, Juho Kannala, Bernhard Schölkopf, Joni Pajarinen, Dieter Büchler
[Paper] [Code] [Project Page]
2nd Workshop on Dexterous Manipulation: Design, Perception and Control, (RSS), 2024
Conference on Robot Learning (CoRL), 2024
MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion.
Di Chang, Yichun Shi, Quankai Gao, Jessica Fu, Hongyi Xu, Guoxian Song, Qing Yan, Yizhe Zhu, Xiao Yang, Mohammad Soleymani
[Paper] [Code] [Project Page]
International Conference on Machine Learning (ICML), 2024.
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, 90/11500)
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]
BMVC,2024
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, et al.
[Paper] [Code]
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021