Thanh-Tung (Tony) Le

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UCI - Computer Science

6210 Donald Bren Hall

Irvine, CA 92697-3425

I expect to graduate in 2026 and am actively seeking research scientist positions, as well as research internships. If my expertise aligns with your needs, please feel free to contact me via email to request my latest resume.

I am a fourth-year PhD candidate in Computer Science at the University of California, Irvine, advised by Professor Xiaohui Xie. My research focuses on Generative Models and 3D Vision, with a broader interest in developing robust Multimodal AI systems. I aim to create general-purpose World Models that can learn from rich visual data, enabling interactive and dynamic environments.

Research interests:

  1. Generative models
    • Diffusion Models, Flow Matching, Autoregressive, Masked Autoregressive Models, Hybrid Generative Approaches.
    • Video Generation, Diffusion Distillation, Generative Novel Views Synthesis, Diffusion-based Dense Estimation.
  2. 3D vision
    • Novel View Synthesis, 3D Shape Analysis and Representations, Neural Rendering (NeRF and 3DGS-based).
    • 2.5D Scene Representation: Depth/Normals Estimation.
    • Efficient Optimal Transport for 3D Shape Learning.

news

Aug 03, 2025 I advance to PhD candidate and receive En route Master’s in Computer Science.
Aug 01, 2025 One paper is accepted by ICCV Findings 2025.
Jun 16, 2025 I am honor to receive research internship offer from NVIDIA and Google for Summer 2025. I join Google as a Student Researcher.
Sep 01, 2024 One paper is accepted by BMVC 2024 (Oral).
Jun 23, 2024 I join Meta Reality Labs as a Research Scientist Intern.
Jan 21, 2024 One paper is accepted by CVPR 2024.
Jan 04, 2024 One paper is accepted by ICLR 2024.
Oct 19, 2023 Two papers are accepted by WACV 2024.
Sep 11, 2022 I am honored to received Dean’s Award from Donald Bren School of Information and Computer Sciences, UC Irvine.
Sep 02, 2022 I start my Ph.D. journey at UC Irvine!

selected publications

  1. CVPR
    Integrating efficient optimal transport and functional maps for unsupervised shape correspondence learning
    Thanh-Tung Le, Khai Nguyen, Shanlin Sun, and 2 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
  2. ICLR
    Diffeomorphic mesh deformation via efficient optimal transport for cortical surface reconstruction
    Thanh-Tung Le, Khai Nguyen, Shanlin Sun, and 3 more authors
    The Twelfth International Conference on Learning Representations, 2023
  3. BMVC
    Hybrid-csr: Coupling explicit and implicit shape representation for cortical surface reconstruction
    Shanlin Sun, Thanh-Tung Le, Chenyu You, and 6 more authors
    arXiv preprint arXiv:2307.12299, 2023