Tao Wang

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I am a Ph.D. candidate at Department of Computer Science and Technology, Nanjing University (NJU). I am a member of IMAGINE Laboratory and my academic supervisor is Prof. Tong Lu. Before that, I received master's degree in 2021, under the supervision of Prof. Xiaoqin Zhang. I work very close with my friends Wenhan Luo and Kaihao Zhang.

Here is my [CV], and you can contact me by E-mail:



Research interest

I am interested in several topics in computer vision and machine learning. Specifically, my research focuses on creative AI, such as image/video enhancement and synthesis, AI generated content (AIGC).



Updates

2024/03 - One paper was accepted by TCSVT (blind face restoration).

2024/03 - One paper was accepted by IJCV (adverse weather restoration).

2023/12 - One paper was accepted by AAAI 2024 (correspondence pruning).

2023/11 - One paper was accepted by TCSVT (under-display camera face image restoration).

2023/11 - Sun-Xiangzhen scholarship of Nanjing University.

2023/09 - One paper was accepted by NeurIPS 2023 (punctuation-level attack for text models).

2023/09 - One paper was accepted by TCSVT (a comprehensive benchmark for image deblurring).

2023/09 - One paper was accepted by PR (image dehazing).

2023/04 - One paper was accepted by IJCAI 2023 (graph representation learning).

2023/04 - One paper was accepted by TCSVT (rgb-d salient object detection).

2023/01 - One paper was selected for an ORAL presentation at AAAI 2023 (UHD low-light enhancement).

2022/11 - One paper was accepted by AAAI 2023 (UHD low-light enhancement).

2022/11 - One paper was online in Arxiv (face restoration survey), see the news.

2022/03 - One paper was accepted by ICME2022 (ORAL) (few-shot learning).

2021/07 - One paper was accepted by TCSVT (video deblurring).

2021/03 - One paper was accepted by TIP (image dehazing).

2021/01 - One paper was accepted by Neurocomputing (image dehazing).

2020/12 - One paper was accepted by TCSVT (image dehazing).

2020/11 - One paper was accepted by CVIU (video deblurring).



Recent Projects

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. (Top Journal)

A general Transformer backbone for image restoration in adverse weather conditions.


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)

The first work proposing the UHD-LLIE problem and addressing it with transformer.


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.

Video deblurring with spatiotemporal learning and adversarial gradient prior.


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)

A unified framework for image dehazing using multi-level fusion and attetnion mechanism.


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

A recurrent framework to generate the clear image given a hazy image.


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.

A framework using contrastive learning to produce visually pleasing images.



Professional Activities

Conference Reviewer: CVPR, ECCV, ICCV, NeurIPS, AAAI, IJCAI, ACM MM, etc.

Journal Reviewer: TCSVT, CVIU, TII, TMM, etc.



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