Quankai Gao
Scholar

Quankai Gao

Google Scholar ID: tIdThSIAAAAJ
University of Southern California
Computer Vision
Citations & Impact
All-time
Citations
354
 
H-index
8
 
i10-index
8
 
Publications
10
 
Co-authors
14
list available
Resume (English only)
Academic Achievements
  • 1. Meshy Fellowship Finalist, 2025
  • 2. GSG Professional Development Fund, University of Southern California, 2023
  • 3. First Prize, The Chinese Mathematics Competitions (CMC), Guangdong, 2018
  • 4. Finalist Winner, Mathematical Contest in Modeling (MCM/ICM), COMAP, 2018
  • 5. National Scholarship, 2018
  • 6. Scholarship of South China University of Technology, 2016, 2017
  • 7. Publications:
  • - Can3Tok: Canonical 3D Tokenization and Latent Modeling of Scene-Level 3D Gaussians, ICCV 2025
  • - Gaussianflow: Splatting gaussian dynamics for 4d content creation, TMLR 2025
  • - RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands, RSS 2024, CoRL 2024
  • - MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion, ICML 2024
  • - Stratified Avatar Generation from Sparse Observations, CVPR 2024 (Oral)
  • - InSpaceType: Reconsider Space Type in Indoor Monocular Depth Estimation, BMVC 2024
  • - Strivec: Sparse Tri-Vector Radiance Fields, ICCV 2023
  • - Controllable 3D Generative Adversarial Face Model via Disentangling Shape and Appearance, WACV 2023
  • - Deep Graph Matching under Quadratic Constraint, CVPR 2021
Research Experience
  • 1. Waymo, Research Intern, 2025
  • 2. Adobe, Research Intern, 2024
  • 3. Google, Student Researcher, 2023
  • 4. Robotics Institute, Carnegie Mellon University, Research Assistant, 2021 to 2022, Advisor: Prof. Fernando De La Torre, Project: 3D human face generation with disentanglement and granular control between identity and expression
Education
  • 1. University of Southern California, Ph.D. in Computer Science, Advisors: Prof. Ulrich Neumann and Prof. Yue Wang
  • 2. University of Southern California, Master's in Computer Science
  • 3. South China University of Technology, B.E. in Automation Science and Engineering
Background
  • Research interests include computer vision and graphics. Currently a Ph.D. candidate in Computer Science at the University of Southern California, advised by Prof. Ulrich Neumann and Prof. Yue Wang.
Miscellany
  • Reviewer for the following conferences/journals: ECCV, CVPR, Neurips, ICRA, 3DV, SIGGRAPH, Eurographics, TPAMI, TIP