Scholar
Tianyu Luan
Google Scholar ID: XNzPzTIAAAAJ
University at Buffalo
Citations & Impact
Citations
275
H-index
9
i10-index
9
Publications
20
Co-authors
9
list available
Publications
Resume (English only)
Academic Achievements
- March 2025, T-PAMI, Paper 'Scalable High-Fidelity 3D Hand Shape Reconstruction via Graph-Image Frequency Mapping and Graph Frequency Decomposition' accepted
- March 2025, CVPR 2025, Paper 'dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis' accepted
- July 2024, ECCV 2024, Paper 'Divide and Fuse: Body Part Mesh Recovery from Partially Visible Human Images' accepted
- May 2024, ICML 2024, Paper 'MH-pFLID: Model Heterogeneous Personalized Federated Learning via Injection and Distillation for Medical Data Analysis' accepted
- February 2024, CVPR 2024, Paper 'Spectrum AUC Difference (SAUCD): Human-aligned 3D Shape Evaluation' accepted
- July 2023, ICCV 2023, Paper accepted
- February 2023, CVPR 2023, First author paper 'High Fidelity 3D Hand Shape Reconstruction via Scalable Graph Frequency Decomposition' accepted
- 2021, AAAI 2021, Paper 'PC-HMR: Pose Calibration for 3D Human Mesh Recovery from 2D Images/Videos' accepted
Research Experience
- Summer 2025, Accenture, Research Manager
- Spring 2024, UII America, Research Intern (2nd time)
- Summer 2024, Pixocial, Research Intern
- Summer 2023, UII America, Research Intern
- Summer 2022, OPPO US Research Center, Research Intern
Background
- Research interest: 3D Fidelity Evaluation and Generation. Previously a research scientist manager at Accenture. Before Accenture, he received his Ph.D. in Computer Science from the State University of New York at Buffalo, advised by Prof. Junsong Yuan. He holds a B.S. in Applied Physics from the University of Science and Technology of China and an M.Eng. in Electronical and Telecommunication Engineering from Tsinghua University.
