Tao Wang - List of Publications

(* indicates corresponding author, + indicates equal contribution)

  1. Towards Real-World Blind Face Restoration with Generative Diffusion Prior,
    X. Chen, J. Tan, T. Wang, K. Zhang, W. Luo, X. Cao,
    IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 2024.
    [PDF] [Code]

  2. Gridformer: Residual Dense Transformer with Grid Structure for Image Restoration in Adverse Weather Conditions,
    T. Wang, K. Zhang, Z. Shao, W. Luo, B. Stenger, T. Lu, TK. Kim, W. Liu, H. Li,
    International Journal of Computer Vision (IJCV), 2024.
    [PDF]

  3. VSFormer: Visual-Spatial Fusion Transformer for Correspondence Pruning,
    T. Liao, X. Zhang, L. Zhao, T. Wang, G. Xiao,
    Proc. of the Association for the Advancement of Artificial Intelligence (AAAI), 2024.
    [PDF] [Code]

  4. Blind Face Restoration for Under-Display Camera via Dictionary Guided Transformer,
    J. Tan, X. Chen, T. Wang, K. Zhang, W. Luo, X. Cao,
    IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 2023.
    [PDF]

  5. Punctuation-level Attack: Single-shot and Single Punctuation Can Fool Text Models,
    W. Wang, C. Du, T. Wang, K. Zhang, W. Luo, L. Ma, W. Liu, X. Cao,
    Proc. of Neural Information Processing Systems (NeurIPS), 2023.
    [PDF]

  6. MC-Blur: A Comprehensive Benchmark for Image Deblurring,
    K. Zhang, T. Wang, W. Luo, B. Chen, W. Ren, B. Stenger, W. Liu, H. Li, M.H. Yang,
    IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 2023.
    [PDF] [Code]

  7. Restoring Vision in Hazy Weather with Hierarchical Contrastive Learning,
    T. Wang, G. Tao, W. Lu, K. Zhang, W. Luo, X. Zhang, T. Lu,
    Pattern Recognition (PR), 2023.
    [PDF]

  8. Graph Propagation Transformer for Graph Representation Learning,
    Z. Chen, H. Tan, T. Wang, T. Shen, T. Lu, Q. Peng, C. Cheng, Y. Qi,
    Proc. of International Joint Conference on Artificial Intelligence (IJCAI), China, 2023.
    [PDF] [Code]

  9. Multi-prior Driven Network for RGB-D Salient Object Detection,
    X. Zhang, Y. Xu, T. Wang, T. Liao,
    IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 2023.
    [PDF]

  10. Ultra-High-Definition Low-Light Image Enhancement: A Benchmark and Transformer-Based Method,
    T. Wang, K. Zhang, T. Shen, W. Luo, B. Stenger, T. Lu,
    Proc. of the Association for the Advancement of Artificial Intelligence (AAAI), USA, 2023. (ORAL)
    [PDF] [Code] [Project]

  11. Dynamic Feature Learning for COVID-19 Segmentation and Classification,
    X. Zhang, R. Jiang, P. Huang, T. Wang, M. Hu, AF. Scarsbrook, AF. Frangi,
    Computers in Biology and Medicine (CBM), 2022.
    [PDF]

  12. Uncertainty-Based Network for Few-Shot Image Classification,
    M. Yuan, Q. Xu, C. Cai, Y. Zheng, T. Wang, T. Lu, W. Li,
    Proc. of IEEE International Conference on Multimedia and Expo (ICME), 2022. (ORAL)
    [PDF]

  13. Haze Concentration Adaptive Network for Image Dehazing,
    T. Wang, L. Zhao, P. Huang, X. Zhang, J. Xu,
    Neurocomputing (Neuro), 2021.
    [PDF]

  14. Video Deblurring via Spatiotemporal Pyramid Network and Adversarial Gradient Prior,
    T. Wang, X. Zhang, R. Jiang, L. Zhao, H. Chen, W. Luo,
    Computer Vision and Image Understanding (CVIU), 2021.
    [PDF]

  15. Single Image Haze Removal Based on a Simple Additive Model with Haze Smoothness Prior,
    X. Zhang, T. Wang, G. Tang, L. Zhao, Y. Xu, S. Maybank,
    IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 2021.
    [PDF]

  16. Structured Dictionary Learning with Block Diagonal Regularization for Image Classification,
    M. Xu, R. Jiang, T. Wang, D. Wang, X. Lu,
    Proc. of IEEE International Conference on Big Data (Big Data), 2020.
    [PDF]

  17. Single Image Dehazing via Dual-Path Recurrent Network,
    X. Zhang, R. Jiang, T. Wang and W. Luo,
    IEEE Trans. on Image Processing (TIP), 2021.
    [PDF]

  18. Advances in Deep Learning Methods for Visual Tracking: Literature Review and Fundamentals,
    X. Zhang, R. Jiang, C. Fan, T. Tong, T. Wang, P. Huang,
    International Journal of Automation and Computing (IJAC), 2021.
    [PDF]

  19. Hierarchical Feature Fusion with Mixed Convolution Attention for Single Image Dehazing,
    X. Zhang, J. Wang, T. Wang, R. Jiang,
    IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 2021. (ESI Highly Cited Paper)
    [PDF]

  20. Attention-based Interpolation Network for Video Deblurring,
    X. Zhang, R. Jiang, T. Wang, P. Huang, L. Zhao,
    Neurocomputing (Neuro), 2021.
    [PDF]

  21. Self-filtering Image Dehazing with Self-supporting Module,
    P. Huang, L. Zhao, R. Jiang, T. Wang, X. Zhang,
    Neurocomputing (Neuro), 2021.
    [PDF]

  22. Robust Feature Learning for Adversarial Defense via Hierarchical Feature Alignment,
    X. Zhang, J. Wang, T. Wang, R. Jiang, J. Xu, L. Zhao,
    Information Sciences (IS), 2021.
    [PDF]

  23. Multi-level Fusion and Attention-guided CNN for Image Dehazing,
    X. Zhang, T. Wang*, W. Luo, P. Huang,
    IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 2021. (ESI Highly Cited Paper)
    [PDF]

  24. Recursive Neural Netowrk for Video deblurring,
    X. Zhang, R. Jiang, T. Wang, J. Wang,
    IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 2020. (ESI Highly Cited Paper)
    [PDF]

  25. Pyramid Channel-based Feature Attention Network for Image Dehazing,
    X. Zhang, T. Wang, J. Wang, G. Tang, L. Zhao,
    Computer Vision and Image Understanding (CVIU), 2020. (ESI Highly Cited Paper)
    [PDF] [Code]


    26. Tech Report

    A Survey of Deep Face Restoration: Denoise, Super-Resolution, Deblur, Artifact Removal,
    T. Wang, K. Zhang, X. Chen, W. Luo, J. Deng, T. Lu, X. Cao, W. Liu, H. Li, S. Zafeiriou,
    arXiv:2211.02831, 2022.
    [arXiv] [Project]