Xiaofeng Cong

According to our database, Xiaofeng Cong authored at least 18 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Bidomain uncertainty gated recursive network for pan-sharpening.

Junming Hou, Xinyang Liu, Chenxu Wu, Xiaofeng Cong, Chentong Huang, Liang-Jian Deng, Jian Wei You

Inf. Fusion, 2025

2024

Illumination Controllable Dehazing Network based on Unsupervised Retinex Embedding.

Jie Gui, Xiaofeng Cong, Lei He, Yuan Yan Tang, James Tin-Yau Kwok

IEEE Trans. Multim., 2024

Spatial-Frequency Adaptive Remote Sensing Image Dehazing With Mixture of Experts.

Hao Shen, Henghui Ding, Yulun Zhang, Xiaofeng Cong, Zhong-Qiu Zhao, Xudong Jiang

IEEE Trans. Geosci. Remote. Sens., 2024

Rethinking Pan-Sharpening via Spectral-Band Modulation.

Xinyang Liu, Junming Hou, Xiaofeng Cong, Hao Shen, Zhuochen Lou, Liang-Jian Deng, Jian Wei You

IEEE Trans. Geosci. Remote. Sens., 2024

Fooling the Image Dehazing Models by First Order Gradient.

Jie Gui, Xiaofeng Cong, Chengwei Peng, Yuan Yan Tang, James Tin-Yau Kwok

IEEE Trans. Circuits Syst. Video Technol., 2024

Underwater Organism Color Enhancement via Color Code Decomposition, Adaptation and Interpolation.

Xiaofeng Cong, Jing Zhang, Yeying Jin, Junming Hou, Yu Zhao, Jie Gui, James Tin-Yau Kwok, Yuan Yan Tang

CoRR, 2024

Unrevealed Threats: A Comprehensive Study of the Adversarial Robustness of Underwater Image Enhancement Models.

Siyu Zhai, Zhibo He, Xiaofeng Cong, Junming Hou, Jie Gui, Jian Wei You, Xin Gong, James Tin-Yau Kwok, Yuan Yan Tang

CoRR, 2024

A Comprehensive Survey on Underwater Image Enhancement Based on Deep Learning.

Xiaofeng Cong, Yu Zhao, Jie Gui, Junming Hou, Dacheng Tao

CoRR, 2024

Linearly-evolved Transformer for Pan-sharpening.

Junming Hou, Zihan Cao, Naishan Zheng, Xuan Li, Xiaoyu Chen, Xinyang Liu, Xiaofeng Cong, Danfeng Hong, Man Zhou

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

A Comprehensive Survey and Taxonomy on Point Cloud Registration Based on Deep Learning.

Yu-Xin Zhang, Jie Gui, Xiaofeng Cong, Xin Gong, Wenbing Tao

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

A Semi-Supervised Nighttime Dehazing Baseline with Spatial-Frequency Aware and Realistic Brightness Constraint.

Xiaofeng Cong, Jie Gui, Jing Zhang, Junming Hou, Hao Shen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Underwater Organism Color Fine-Tuning via Decomposition and Guidance.

Xiaofeng Cong, Jie Gui, Junming Hou

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Comprehensive Survey and Taxonomy on Single Image Dehazing Based on Deep Learning.

Jie Gui, Xiaofeng Cong, Yuan Cao, Wenqi Ren, Jun Zhang, Jing Zhang, Jiuxin Cao, Dacheng Tao

ACM Comput. Surv., 2023

Adversarial Attack and Defense for Dehazing Networks.

Jie Gui, Xiaofeng Cong, Chengwei Peng, Yuan Yan Tang, James Tin-Yau Kwok

CoRR, 2023

NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report.

Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Han Zhou, Wei Dong, Yangyi Liu, Jun Chen, Huan Liu, Liangyan Li, Zijun Wu, Yubo Dong, Yuyan Li, Tian Qiu, Yu He, Yonghong Lu, Yinwei Wu, Zhenxiang Jiang, Songhua Liu, Xingyi Yang, Yongcheng Jing, Bilel Benjdira, Anas M. Ali, Anis Koubaa, Hao-Hsiang Yang, I-Hsiang Chen, Wei-Ting Chen, Zhi-Kai Huang, Yi-Chung Chen, Chia-Hsuan Hsieh, Hua-En Chang, Yuan-Chun Chiang, Sy-Yen Kuo, Yu Guo, Yuan Gao, Ryan Wen Liu, Yuxu Lu, Jingxiang Qu, Shengfeng He, Wenqi Ren, Trung Hoang, Haichuan Zhang, Amirsaeed Yazdani, Vishal Monga, Lehan Yang, Alex Jiahao Wu, Tiancheng Mai, Xiaofeng Cong, Xuemeng Yin, Xuefei Yin, Hazim Emad, Ahmed Abdallah, Yahya Yasser, Dalia Elshahat, Esraa Elbaz, Zhan Li, Wenqing Kuang, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Zhao Zhang, Yanyan Wei, Junhu Wang, Suiyi Zhao, Huan Zheng, Jin Guo, Yangfan Sun, Tianli Liu, Dejun Hao, Kui Jiang, Anjali Sarvaiya, Kalpesh Prajapati, Ratnadeep Patra, Pragnesh Barik, Chaitanya Rathod, Kishor P. Upla, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

A Comprehensive Survey on Image Dehazing Based on Deep Learning.

Jie Gui, Xiaofeng Cong, Yuan Cao, Wenqi Ren, Jun Zhang, Jing Zhang, Dacheng Tao

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Discrete Haze Level Dehazing Network.

Xiaofeng Cong, Jie Gui, Kai-Chao Miao, Jun Zhang, Bing Wang, Peng Chen

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results.

Pengxu Wei, Hannan Lu, Radu Timofte, Liang Lin, Wangmeng Zuo, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Tangxin Xie, Liang Cao, Yan Zou, Yi Shen, Jialiang Zhang, Yu Jia, Kaihua Cheng, Chenhuan Wu, Yue Lin, Cen Liu, Yunbo Peng, Xueyi Zou, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Keon-Hee Ahn, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee, Tongtong Zhao, Shanshan Zhao, Yoseob Han, Byung-Hoon Kim, JaeHyun Baek, Haoning Wu, Dejia Xu, Bo Zhou, Wei Guan, Xiaobo Li, Chen Ye, Hao Li, Haoyu Zhong, Yukai Shi, Zhijing Yang, Xiaojun Yang, Xin Li, Xin Jin, Yaojun Wu, Yingxue Pang, Sen Liu, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Marie-Paule Cani, Wan-Chi Siu, Yuanbo Zhou, Rao Muhammad Umer, Christian Micheloni, Xiaofeng Cong, Rajat Gupta, Feras Almasri, Thomas Vandamme, Olivier Debeir

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020