Qingzhe Gao
Scholar

Qingzhe Gao

Google Scholar ID: iS7g5jUAAAAJ
Shandong University
computer versiongraphics
Citations & Impact
All-time
Citations
263
 
H-index
6
 
i10-index
5
 
Publications
7
 
Co-authors
10
list available
Resume (English only)
Academic Achievements
  • BAGS: Building Animatable Gaussian Splatting from a Monocular Video with Diffusion Priors, Tingyang Zhang*, Qingzhe Gao* et al., Arxiv, 2024
  • Semantic Gesticulator: Semantics-Aware Co-Speech Gesture Synthesis, Zeyi Zhang* et al., SIGGRAPH, 2024
  • Neural Novel Actor: Learning a Generalized Animatable Neural Representation for Human Actors, Qingzhe Gao* et al., TVCG, 2023
  • Learning Controllable 3D Diffusion Models from Single-view Images, Jiatao Gu, Qingzhe Gao et al., 3DV, 2023
  • Rhythmic Gesticulator: Rhythm-Aware Co-Speech Gesture Synthesis with Hierarchical Neural Embeddings, Tenglong Ao, Qingzhe Gao et al., SIGGRAPH ASIA (Best Paper Awards), 2022
  • Unsupervised Co-part Segmentation through Assembly, Qingzhe Gao, Bin Wang et al., ICML, 2021
Research Experience
  • Currently working at VCL-PKU and IRC-SDU.
Education
  • PhD candidate at Shandong University. B.S. in Computer Science and Technology from Taishan College, Shandong University (2019). Supervisor: Prof. Baoquan Chen.
Background
  • Research interests: computer vision, computer graphics, and machine learning.
Miscellany
  • Personal website powered by Jekyll & AcademicPages, a fork of Minimal Mistakes.