Image Restoration
Survey
A Comprehensive Survey on Underwater Image Enhancement Based on Deep Learning
X. Cong, Y. Zhao, J. Gui , J. Hou, D. Tao
arXiv preprint arXiv:2405.19684
A Comprehensive Survey and Taxonomy on Single Image Dehazing Based on Deep Learning.
J. Gui, X. Cong, Y. Cao, W. Ren, J. Zhang, J. Zhang, J. Cao, D. Tao
ACM Computing Surveys, vol. 55, no. 13s, article 279, pp. 1-37, 2023. [Code]
Paper: arxiv , 中文版,第40页开始(Chinese version) , Conference version: IJCAI 2021
A Comprehensive Survey on Image Dehazing Based on Deep Learning. [Code]
J. Gui, X. Cong, Y. Cao*, W. Ren, J. Zhang, J. Zhang, D. Tao
International Joint Conference on Artificial Intelligence (IJCAI), 2021.
Paper: arxiv, (Chinese version)中文版,第40页开始, IJCAI 2021
Algorithms
Unrevealed Threats: A Comprehensive Study of the Adversarial Robustness of Underwater Image Enhancement Models
S. Zhai, Z. He, X. Cong, J. Hou, J. Gui*, J. You, X. Gong, J. Kwok, Y. Tang
IEEE Transactions on Multimedia, accepted. [Code]
Fooling the Image Dehazing Models by First Order Gradient
J. Gui, X. Cong, C. Peng, Y. Tang, J. Kwok
IEEE Transactions on Circuits and Systems for Video Technology, vol. 34, no. 7, pp. 6265-6278, 2024. [Code]
Paper: arxiv
Video: Video (讲解视频), Valse论文速览
Illumination Controllable Dehazing Network based on Unsupervised Retinex Embedding
J. Gui, X. Cong, L. He, Y. Tang, J. Kwok
IEEE Transactions on Multimedia, vol. 26, pp. 4819-4830, 2024. [Code]
A Semi-supervised Nighttime Dehazing Baseline with Spatial-Frequency Aware and Realistic Brightness Constraint.
X. Cong, J. Gui*, J. Zhang, J. Hou, H. Shen.
Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2631-2640, 2024. [Code], [arxiv ]
Underwater Organism Color Fine-tuning via Decomposition and Guidance.
X. Cong, J. Gui*, J. Hou.
AAAI Conference on Artificial Intelligence (AAAI), pp. 1389-1398, 2024. [Code]
Discrete Haze Level Dehazing Network.
X. Cong, J. Gui*, K. Miao. J. Zhang*, B. Wang, P. Chen.
ACM Multimedia (ACM MM), 2020.
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