Publications

\* denotes equal contribution.

2025

  1. NeurIPS
    UMAMI: Unifying Masked Autoregressive Models and Deterministic Rendering for View Synthesis
    Thanh-Tung Le*, Tuan Pham*, Tung Nguyen, and 3 more authors
    In The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025
  2. ICCV-Findings
    GeoDiff: Geometry-Guided Diffusion for Metric Depth Estimation
    Thanh-Tung Le*, Tuan Pham*, Xiaohui Xie, and 1 more author
    In First Workshop on the Findings of the International Conference on Computer Vision 2025, 2025

2024

  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. WACV
    AFTer-SAM: Adapting SAM with Axial Fusion Transformer for Medical Imaging Segmentation
    Xiangyi Yan, Shanlin Sun, Kun Han, and 4 more authors
    In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
  3. 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, 2024
  4. BMVC
    Hybrid-csr: Coupling explicit and implicit shape representation for cortical surface reconstruction
    Shanlin Sun, Thanh-Tung Le, Chenyu You, and 6 more authors
    The 35th British Machine Vision Conference (BMVC 2024), 2024
  5. WACV
    Hybrid neural diffeomorphic flow for shape representation and generation via triplane
    Kun Han, Shanlin Sun, Thanh-Tung Le, and 4 more authors
    In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

  1. IEEE-Access
    Learning from multiple expert annotators for enhancing anomaly detection in medical image analysis
    Khiem H Le, Tuan V Tran, Hieu H Pham, and 3 more authors
    IEEE Access, 2023

2021

  1. Neurocomputing
    Interpreting chest X-rays via CNNs that exploit hierarchical disease dependencies and uncertainty labels
    Hieu H Pham, Thanh-Tung Le, Dat Q Tran, and 2 more authors
    Neurocomputing, 2021
  2. MIDL
    VinDr-RibCXR: A benchmark dataset for automatic segmentation and labeling of individual ribs on chest X-rays
    Hoang C Nguyen, Thanh-Tung Le, Hieu H Pham, and 1 more author
    arXiv preprint arXiv:2107.01327, 2021
  3. ICCV-W
    Learning to automatically diagnose multiple diseases in pediatric chest radiographs using deep convolutional neural networks
    Thanh T Tran, Hieu H Pham, Thang V Nguyen, and 3 more authors
    In Proceedings of the IEEE/CVF International Conference on Computer Vision Workshop, 2021

2020

  1. MICCAI-W
    Enhancing MRI brain tumor segmentation with an additional classification network
    Hieu T Nguyen*, Thanh-Tung Le*, Thang V Nguyen, and 1 more author
    In International MICCAI Brainlesion Workshop, 2020