Preprint:

1. Chongyi Li, Chunle Guo, Ruicheng Feng, Shangchen Zhou, and Chen Change Loy, CuDi: Curve Distillation for Efficient and Controllable Exposure Adjustment. [PDF-arXiv version] [Project]
2. Saeed Anwar, Muhammad Tahir, Chongyi Li, et al., Image Colorization: A Survey and Dataset. [PDF--arXiv Version][Project]

2023:

1. Zhexin Liang, Chongyi Li, Shangchen Zhou, Ruicheng Feng, and Chen Change Loy, Iterative Prompt Learning for Unsupervised Backlit Image Enhancement, International Conference on Computer Vision (ICCV), 2023. [PDF-arXiv version][Project][Oral, 2.3% acceptance rate]
2. Shangchen Zhou, Chongyi Li, Kelvin C.K. Chan, and Chen Change Loy, ProPainter: Improving Video Inpainting with Enhanced Propagation and Efficient Transformer, International Conference on Computer Vision (ICCV), 2023. [PDF-arXiv version][Project]
3. Xin Jin, Jiawen Xiao, Linghao Han, Chunle Guo, Ruixuan Zhang, Xialei Liu, and Chongyi Li, Lighting Every Darkness in Two Pairs: A Calibration-Free Pipeline for RAW Denoising, International Conference on Computer Vision (ICCV), 2023. [PDF-arXiv version][Project]
4. Yuyan Zhou, Dong Liang, Songcan Chen, Shengjun Huang, Shuo Yang, and Chongyi Li, Improving Lens Flare Removal with General-Purpose Pipeline and Multiple Light, International Conference on Computer Vision (ICCV), 2023. [PDF-arXiv version][Project]
5. Man Zhou, Nansheng Zheng, Jie Huang, and Chongyi Li, Learned Image Reasoning Prior Penetrates Deep Unfolding Network for Panchromatic and Multi-spectral Image Fusion, International Conference on Computer Vision (ICCV), 2023. [PDF-arXiv version][Project]
6. Qi Zhu, Man Zhou, Nansheng Zheng, Chongyi Li, Jie Huang, and Feng Zhao, Exploring Temporal Frequency Spectrum in Deep Video Deblurring, International Conference on Computer Vision (ICCV), 2023. [PDF-arXiv version][Project]
7. Nansheng Zheng, Yanmeng Dong, Xiangyu Rui, Jie Huang, Chongyi Li, Man Zhou, and Feng Zhao, Empowering Low-Light Image Enhancer through Customized Learnable Priors, International Conference on Computer Vision (ICCV), 2023. [PDF-arXiv version][Project]
8. Fuzhao Ou, Baoliang Chen, Chongyi Li, Shiqi Wang, and Sam Kwong, Troubleshooting Ethnic Quality Bias with Curriculum Domain Adaptation for Face Image Quality Assessment, International Conference on Computer Vision (ICCV), 2023. [PDF-arXiv version][Project]
9. Man Zhou, Jie Huang, Chunle Guo, and Chongyi Li⁺, Fourmer: An Efficient Global Modeling Paradigm for Image Restoration, International Conference on Machine Learning (ICML), 2023. [PDF-arXiv version][Project][Oral]
10. Yuekun Dai, Yihang Luo, Shangchen Zhou, Chongyi Li⁺, and Chen Change Loy, Nighttime Smartphone Reflective Flare Removal Using Optical Center Symmetry Prior, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [PDF-arXiv version][Project][Highlight, 2.5% acceptance rate]
11. Xin Jin, Linghao Han, Zhen Li, Zhi Chai, Chunle Guo, Chongyi Li, DNF: Decouple and Feedback Network for Seeing in the Dark, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [PDF-arXiv version][Project][Highlight, 2.5% acceptance rate]
12. Ruiqi Wu, Zhengpeng Duan, Chunle Guo, Zhi Chai, Chongyi Li, RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priors, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [PDF-arXiv version][Project]
13. Yuhui Wu, Chen Pan, Guoqing Wang, Yang Yang, Jiwei Wei, Chongyi Li, and Hengtao Shen, Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [PDF-arXiv version][Project]
14. Ruicheng Feng, Chongyi Li, Huaijin Chen, Shuai Li, Jinwei Gu, and Chen Change Loy, Generating Aligned Pseudo-Supervision from Non-Aligned Data for Image Restoration in Under-Display Camera, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [PDF-arXiv version][Project]
15. Chongyi Li, Chunle Guo, Man Zhou, Zhexin Liang, Shangchen Zhou, Ruicheng Feng, and Chen Change Loy, Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement, International Conference on Learning Representations (ICLR), 2023. [PDF-arXiv version][Project][Oral]
16. Chunle Guo, Ruiqi Wu, Xin Jin, Linghao Han, Zhi Chai, Weidong Zhang, and Chongyi Li⁺, Underwater Ranker: Learn Which Is Better and How to Be Better, AAAI Conference on Artificial Intelligence (AAAI), 2023. [PDF-arXiv version][Project][Oral]
17. Qixin Yan, Chunle Guo, Jixin Zhao, Yuekun Dai, Chen Change Loy, and Chongyi Li⁺, BeautyREC: Robust, Efficient, and Content-preserving Makeup Transfer, IEEE Conference on Computer Vision and Pattern Recognition NTIRE Workshop (CVPRW), 2023. [PDF-arXiv version] [Project][Oral)]
18. Chongyi Li, Chunle Guo, Qiming Ai, Shangchen Zhou, and Chen Change Loy, Flexible Piecewise Curves Estimation for Photo Enhancement, IEEE Conference on Computer Vision and Pattern Recognition NTIRE Workshop (CVPRW), 2023. [PDF--arXiv Version] [Project][Oral)]
19. Yuekun, Dai, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Qingpeng Zhu, Qianhui Sun, Wenxiu Sun, Chen Change Loy, Jinwei Gu, etc., MIPI 2023 Challenge on Nighttime Flare Removal: Methods and Results, IEEE Conference on Computer Vision and Pattern Recognition MIPI Workshop (CVPRW), 2023. [PDF-arXiv version]
20. Qingpeng Zhu, Wenxiu Sun, Yuekun, Dai, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Qianhui Sun, Chen Change Loy, Jinwei Gu, etc., MIPI 2023 Challenge on RGB+ ToF Depth Completion: Methods and Results, IEEE Conference on Computer Vision and Pattern Recognition WMIPI orkshop (CVPRW), 2023. [PDF-arXiv version]
21. Qianhui Sun, Qingyu Yang, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Yuekun Dai, Wenxiu Sun, Qingpeng Zhu, Chen Change Loy, Jinwei Gu, etc., MIPI 2023 Challenge on RGBW Fusion: Methods and Results, IEEE Conference on Computer Vision and Pattern Recognition MIPI Workshop (CVPRW), 2023. [PDF-arXiv version]
22. Qianhui Sun, Qingyu Yang, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Yuekun Dai, Wenxiu Sun, Qingpeng Zhu, Chen Change Loy, Jinwei Gu, etc., MIPI 2023 Challenge on RGBW Remosaic: Methods and Results, IEEE Conference on Computer Vision and Pattern Recognition MIPI Workshop (CVPRW), 2023. [PDF-arXiv version]
23. Jingchun Zhou, Yanyun Wang, Weishi Zhang, and Chongyi Li, Multi-color Light Attenuation Modeling for Underwater Image Restoration, IEEE Journal of Oceanic Engineering, (SCI, IF=3.554), 2023. [PDF--arXiv Version] [Project]
24. Man Zhou, Jie Huang, Danfeng Hong, Feng Zhao, Chongyi Li, and Jocelyn Chanussot, Rethinking Pan-Sharpening in Closed-Loop Regularization, IEEE Transactions on Neural Networks and Learning Systems, (SCI, IF=14.255), 2023. [PDF--arXiv Version] [Project]
25. Huihui Yue, Jichang Guo, Xiangjun Yin, Yi Zhang, Bihan Wen, and Chongyi Li, Salient Object Detection Towards Single-pixel Imaging, IEEE Transactions on Circuits and Systems for Video Technology (SCI, IF=5.859), 2023. [PDF--arXiv Version] [Project]
26. Runmin Cong, Wenyu Yang, Wei Zhang, Chongyi Li⁺, Chunle Guo, Qingming Huang, and Sam Kwong, PUGAN: Physical Model-Guided Underwater Image Enhancement Using GAN with Dual-Discriminators, IEEE Transactions on Image Processing (SCI, IF=11.041), 2023. [PDF--arXiv Version] [Project]
27. Guojia Hou, Nan Li, Peixian Zhuang, Kunqian Li, Haihan Sun, and Chongyi Li⁺, Non-Uniform Illumination Underwater Image Restoration via Illumination Channel Sparsity Prior, IEEE Transactions on Circuits and Systems for Video Technology (SCI, IF=5.859), 2023. [PDF--arXiv Version] [Project]
28. Zheng Liang, Weidong Zhang, Rui Ruan, Peixian Zhuang, Xiwang Xie, and Chongyi Li⁺, Underwater Image Quality Improvement via Color, Detail, and Contrast Restoration, IEEE Transactions on Circuits and Systems for Video Technology (SCI, IF=5.859), 2023. [PDF--arXiv Version] [Project]
29. Weidong Zhang, Ling Zhou, Peixian Zhuang, Guohou Li, Xipeng Pan, Wenyi Zhao, and Chongyi Li⁺, Underwater Image Enhancement via Weighted Wavelet Visual Perception Fusion, IEEE Transactions on Circuits and Systems for Video Technology (SCI, IF=5.859), 2023. [PDF--arXiv Version] [Project]
30. Qiuping Jiang, Yaozu Kang, Zhihua Wang, Wenqi Ren, and Chongyi Li, Perception-Driven Deep Underwater Image Enhancement without Paired Supervision, IEEE Transactions on Multimedia (SCI, IF=7.3), 2023. [PDF-offical version][Code]
31. Yudong Wang, Jichang Guo, Wanru He, Huan Gao, Huihui Yue, Zenan Zhang, and Chongyi Li, Is Underwater Image Enhancement All Object Detectors Need?, IEEE Journal of Oceanic Engineering (SCI, IF=3.554), 2023. [PDF-offical version][Code]

2022:

1. Man Zhou, Hu Yu, Jie Huang, Feng Zhao, Jinwei Gu, Chen Change Loy, Deyu Meng, and Chongyi Li⁺, Deep Fourier Up-Sampling, Neural Information Processing Systems (NeurIPS), 2022. [PDF-arXiv version] [Project][Spotlight]
2. Shangchen Zhou, Kelvin C. K. Chan, Chongyi Li, and Chen Change Loy, Towards Robust Blind Face Restoration with Codebook Lookup TransFormer, Neural Information Processing Systems (NeurIPS), 2022. [PDF-arXiv version] [Project]
3. Keyu Yan, Man Zhou, Jie Huang, Chengjun Xie, Feng Zhao, Chongyi Li, and Danfeng Hong, Panchromatic and Multispectral Image Fusion via Alternating Reverse Filtering Network, Neural Information Processing Systems (NeurIPS), 2022. [PDF-arXiv version] [Project][Spotlight]
4. Yuekun Dai, Chongyi Li, Shangchen Zhou, Ruicheng Feng, and Chen Change Loy, Flare7K: A Phenomenological Nighttime Flare Removal Dataset, Neural Information Processing Systems (NeurIPS), 2022. [PDF-arXiv version] [Project]
5. Shangchen Zhou, Chongyi Li, and Chen Change Loy, LEDNet: Joint Low-light Enhancement and Deblurring in the Dark, European Conference on Computer Vision (ECCV), 2022. [PDF-arXiv version] [Code][Project]
6. Qingyu Yang, Guang Yang, Jun Jiang, Chongyi Li, Ruicheng Feng, Shangchen Zhou, Wenxiu Sun, Qingpeng Zhu, Chen Change Loy, Jinwei Gu, etc., MIPI 2022 Challenge on RGBW Sensor Fusion: Dataset and Report, European Conference on Computer Vision MIPI Workshop (ECCVW), 2022. [PDF-arXiv version]
7. Qingyu Yang, Guang Yang, Jun Jiang, Chongyi Li, Ruicheng Feng, Shangchen Zhou, Wenxiu Sun, Qingpeng Zhu, Chen Change Loy, Jinwei Gu, etc., MIPI 2022 Challenge on RGBW Sensor Re-mosaic: Dataset and Report, European Conference on Computer Vision MIPI Workshop (ECCVW), 2022. [PDF-arXiv version]
8. Qingyu Yang, Guang Yang, Jun Jiang, Chongyi Li, Ruicheng Feng, Shangchen Zhou, Wenxiu Sun, Qingpeng Zhu, Chen Change Loy, Jinwei Gu, etc., MIPI 2022 Challenge on Quad-Bayer Re-mosaic: Dataset and Report, European Conference on Computer Vision MIPI Workshop (ECCVW), 2022. [PDF-arXiv version]
9. Wenxiu Sun, Qingpeng Zhu, Chongyi Li, Ruicheng Feng, Shangchen Zhou, Jun Jiang, Qingyu Yang, Chen Change Loy, Jinwei Gu, etc., MIPI 2022 Challenge on RGB+ ToF Depth Completion: Dataset and Report, European Conference on Computer Vision MIPI Workshop (ECCVW), 2022. [PDF-arXiv version]
10. Ruicheng Feng, Chongyi Li, Shangchen Zhou, Wenxiu Sun, Qingpeng Zhu, Jun Jiang, Qingyu Yang, Chen Change Loy, Jinwei Gu, etc., MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Results, European Conference on Computer Vision MIPI Workshop (ECCVW), 2022. [PDF-arXiv version]
11. Chunle Guo, Qixin Yan, Saeed Anwar, Runmin Cong, Wenqi Ren, and Chongyi Li⁺, Image Dehazing Transformer with Transmission-Aware 3D Position Embedding, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [PDF-arXiv version] [PDF-offical version][Code][Project]
12. Man Zhou, Jie Huang, Chongyi Li⁺, Hu Yu, Keyu Yan, Naishan Zheng, and Feng Zhao, Adaptively Learning Low-high Frequency Information Integration for Pan-sharpening, ACM International Conference on Multimedia (ACM MM), 2022. [PDF-arXiv version] [PDF-offical version][Code][Project]
13. Man Zhou, Jie Huang, Keyu Yan, Gang Yang, Aiping Liu, Chongyi Li, and Feng Zhao, Normalization-based Feature Selection and Restitution for Pan-sharpening, ACM International Conference on Multimedia (ACM MM), 2022. [PDF-arXiv version] [PDF-offical version][Code][Project]
14. Peixian Zhuang, Jiamin Wu, Fatih Porikli, and Chongyi Li⁺, Underwater Image Enhancement with Hyper-Laplacian Reflectance Priors, IEEE Transactions on Image Processing (SCI, IF=10.856), 2022. [PDF-offical version][Code][Project][ESI Hot Paper & Highly Cited Paper][TIP Popular Documents]
15. Weidong Zhang, Peixian Zhuang, Haihan Sun, Guohou Li, Sam Kwong, and Chongyi Li⁺, Underwater Image Enhancement via Minimal Color Loss and Locally Adaptive Contrast Enhancement, IEEE Transactions on Image Processing (SCI, IF=10.856), 2022. [PDF-offical version][Code][Project][ESI Hot Paper & Highly Cited Paper][TIP Popular Documents]
16. Runmin Cong, Qinwei Lin, Chen Zhang, Chongyi Li⁺, Xiaochun Cao, Qingming Huang, and Yao Zhao, CIR-Net: Cross-modality Interaction and Refinement for RGB-D Salient Object Detection, IEEE Transactions on Image Processing (SCI, IF=10.856), 2022. [PDF-arXiv version] [PDF-offical version][Code][Project]
17. Runmin Cong, Ning Yang, Chongyi Li⁺, Huazhu Fu, Yao Zhao, Qingming Huang, and Sam Kwong, Global-and-Local Collaborative Learning for Co-Salient Object Detection, IEEE Transactions on Cybernetics (SCI, IF=11.448), 2022. [PDF-arXiv version] [PDF-offical version][Code][Project]
18. Jun Luo, Wenqi Ren, Tao Wang, Chongyi Li, and Xiaochun Cao, Under-Display Camera Image Enhancement via Cascaded Curve Estimation, IEEE Transactions on Image Processing (SCI, IF=10.856), 2022. [PDF-offical version]
19. Liang Zheng, Weidong Zhang, Rui Ruan, Peixian Zhuang, and Chongyi Li⁺, GIFM: An Image Restoration Method with Generalized Image Formation Model for Poor Visible Conditions, IEEE Transactions on Geoscience and Remote Sensing (SCI, IF=8.125), 2022. [PDF-offical version]
20. Wenyi Zhao, Chongyi Li, Weidong Zhang, Lu Yang, Peixian Zhuang, Lingqiao Li, Kefeng Fan, and Huaihua Yang, Embedding Global Contrastive and Local Location in Self-Supervised Learning, IEEE Transactions on Circuits and Systems for Video Technology (SCI, IF=5.859), 2022. [PDF-offical version]
21. Yaozu Kang, Qiuping Jiang, Chongyi Li, Hantao Liu, and Pengjun Wang, A Perception-Aware Decomposition and Fusion Framework for Underwater Image Enhancement, IEEE Transactions on Circuits and Systems for Video Technology (SCI, IF=5.859), 2022. [PDF-offical version]
22. Qiuping Jiang, Yuese Gu, Chongyi Li, Runming Cong, and Feng Shao, Underwater Image Enhancement Quality Evaluation: Dataset and Metric, IEEE Transactions on Circuits and Systems for Video Technology (SCI, IF=5.859), 2022. [PDF-offical version][Code&Dataset][TCSVT Popular Documents]
23. Weidong Zhang, Zexu Li, Haihan Sun, Qing Zhang, Peixian Zhuang, and Chongyi Li⁺, Underwater Image Enhancement via Piecewise Color Correction and Dual Prior Optimized Contrast Enhancement, IEEE Signal Processing Letters (SCI, IF=3.201), 2022. [PDF-offical version][Code]
24. Weidong Zhang, Songlin Jin, Peixian Zhuang, Liang Zheng, and Chongyi Li, SSTNet: Spatial, Spectral, and Texture Aware Attention Network Using Hyperspectral Image for Corn Variety Identification, IEEE Geoscience and Remote Sensing Letters (SCI, IF=5.343), 2022. [PDF-offical version]
25. Xiangyuan Gu, Jichang Guo, Tao Ming, Lijun Xiao, and Chongyi Li, A Feature Selection Algorithm Based on Equal Interval Division and Conditional Mutual Information, Neural Processing Letters (SCI, IF=2.908), 2022. [PDF-offical version]

2021:

1. Chongyi Li, Chunle Guo, Linghao Han, et al., Low-Light Image and Video Enhancement Using Deep Learning: A Survey, IEEE Transactions on Pattern Analysis and Machine Intelligence (SCI, IF=17.861), 2021. [PDF-arXiv version] [PDF-offical version] [中文版 翻译 by Xuanyu Li] [Project] [Online Platform] [Dataset] [Collections][ESI Highly Cited Paper & ESI Hot Paper]
2. Chongyi Li, Chunle Guo, and Chen Change Loy, Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation, IEEE Transactions on Pattern Analysis and Machine Intelligence (SCI, IF=17.861), 2021. [PDF-arXiv version] [PDF-offical version] [Project][Invited Talk 商汤学术 AI画质@B站, in Chinese]-Our Zero-DCE (Zero-DCE++) for low-light image enhancement was used in the 1st place solutions for UG2+ Challenge 2021 -- (Semi-)supervised Face detection in the low light condition.[UG2+ Challenge][1st place solution for face detection in the low light condition][ESI Highly Cited Paper][TPAMI Popular Documents]
3. Chongyi Li, Saeed Anwar, Junhui Hou, et al., Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding, IEEE Transactions on Image Processing (SCI, IF=9.34), 2021. [PDF-offical version][PDF-arXiv version] [Project][Code][ESI Highly Cited Paper][TIP Popular Documents]
4. Ruicheng Feng, Chongyi Li, Huaijin Chen, Shuai Li, Chen Change Loy, Jinwei Gu, Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2021. [PDF-arXiv version] [PDF-offical version] [Code][Project][Dataset] [Covered by Computer Vision News]
5. Shi Qiu, Yunfan Wu, Saeed Anwar, and Chongyi Li, Investigating Attention Mechanism in 3D Point Cloud Object Detection, International Conference on 3D Vision 2021 (3DV) , 2021. [PDF-arXiv version][PDF-offical version][Project]
6. Weidong Zhang, Chongyi Li, and Yudong Wang, Underwater Image Enhancement by Attenuated Color Channel Correction and Detail Preserved Contrast Enhancement, IEEE Journal of Oceanic Engineering (SCI, IF=3.554), 2021. [PDF-offical version][Code][ESI Highly Cited Paper]
7. Peixian Zhuang, Chongyi Li, and Jiamin Wu, Bayesian Retinex Underwater Image Enhancement, Engineering Applications of Artificial Intelligence (SCI, IF=3.526), 2021. [PDF-offical version][ESI Highly Cited Paper]
8. Hai-Han Sun, Yee Hui Lee, Qiqi Dai, and Chongyi Li, et al., Estimating Parameters of the Tree Root in Heterogeneous Soil Environments via Mask-Guided Multi-Polarimetric Integration Neural Network, IEEE Transactions Geoscience and Remote Sensing (SCI, IF=5.6), 2021. [PDF-arXiv version]
9. Xiangyuan Gu, Jichang Guo, Lijun Xiao, and Chongyi Li, Conditional Mutual Information-Based Feature Selection Algorithm for Maximal Relevance Minimal Redundancy, Applied Intelligence (SCI, IF=3.325), 2021. [PDF-offical version]
10. Jingchun Zhou, Yanyun Wang, Weishi Zhang, and Chongyi Li, Underwater Image Restoration via Feature Priors to Estimate Background Light and Optimized Transmission Map, Optics Express (SCI, IF=3.669), 2021. [PDF-offical version]

2020:

1. Chongyi Li, Runmin Cong, Yongri Piao, et al., RGB-D Salient Object Detection with Cross-Modality Modulation and Selection, European Conference on Computer Vision (ECCV) , 2020. [PDF-arXiv version] [PDF-offical version] [Project]
2. Chunle Guo, Chongyi Li (co-first author), Jichang Guo, et al., Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2020. [PDF-Arxiv version] [PDF-offical version] [Project][微软亚研CVPR2020中国论文分享会]
3. Chongyi Li, Huazhu Fu, Runmin Cong, et al., NuI-Go: Recursive Non-Local Encoder-Dcoder Network for Retinal Image Non-Uniform Illumination Removal, ACM Multimedia (ACM MM) , 2020. [PDF-arXiv version] [PDF-offical version] [Project]
4. Qijian Zhang, Runmin Cong, Junhui Hou, Chongyi Li, and Yao Zhao, CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object Detection,Neural Information Processing Systems (NeurIPS) , 2020. [PDF-offical version] [Code][机器之心NeurIPS20 MeetUp@北京, in Chinese]
5. Chongyi Li, Runmin Cong, Sam Kwong, et al., ASIF-Net: Attention Steered Interweave Fusion Network for RGB-D Salient Object Detection, IEEE Transactions on Cybernetics (SCI, IF=10.387), 2020. [PDF-offical version] [Results+Codes][ESI Highly Cited Paper][TCYB Popular Documents]
6. Chongyi Li, Runmin Cong, Chunle Guo, et al., A Parallel Down-Up Fusion Network for Salient Object Detection in Optical Remote Sensing Images, Neurocomputing (SCI, IF=4.072), 2020. [PDF-offical version]
7. Saeed Anwar, Chongyi Li⁺, Diving Deeper Into Underwater Image Enhancement: A Survey, Signal Processing: Image Communication (SCI, IF=2.814), 2020. [PDF-arXiv version] [PDF-offical version]
8. Qijian Zhang, Runmin Cong, Chongyi Li, et al., Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images, IEEE Transactions on Image Processing (SCI, IF=9.34), 2020. [PDF-offical version][PDF-arXiv version] [Project][ESI Highly Cited Paper & ESI Hot Paper]
9. Xiangyuan Gu, Jichang Guo, Chongyi Li, Lijun Xiao, A Feature Selection Algorithm Based on Redundancy Analysis and Interaction Weight, Applied Intelligence (SCI, IF=2.882), 2020. [PDF-offical version]
10. Hua Li, Runming Cong, Sam Kwong, Chuanbo Chen, Qianqian Xu, and Chongyi Li, Stereo Superpixel: An Iterative Framework Based on Parallax Consistency and Collaborative Optimization, Information Science (SCI, IF=5.524), 2020. [PDF-offical version]

2019:

1. Chongyi Li, Chunle Guo, Wenqi Ren, et al., An Underwater Image Enhancement Benchmark Dataset and Beyond, IEEE Transaction on Image Processing (SCI, IF=9.34), 2019. [PDF--arXiv version] [PDF-offical version] [Project][ESI Highly Cited Paper & ESI Hot Paper][TIP Popular Documents & IEEE Signal Processing Society 's top-25 most downloaded articles on IEEE Xplore®, 2021-2022][IEEE Signal Processing Society Blog]
2. Chongyi Li, Saeed Anwar, and Fatih Porikli, Underwater Scene Prior Inspired Deep Underwater Image and Video Enhancement, Pattern Recognition (SCI, IF=5.898), 2019. [PDF-offical version] [PDF--Arxiv version] [Project][ESI Highly Cited Paper][Pattern Recognition Best Paper Honourable Mention]
3. Chongyi Li, Chunle Guo, Jichang Guo, et al., PDR-Net: Perception-Inspired Single Image Dehazing Network with Refinement, IEEE Transaction on Multimedia (SCI, IF=5.452), 2019. [PDF-offical version]
4. Chongyi Li, Runmin Cong, Junhui Hou, et al., Nested Network with Two-Stream Pyramid for Salient Object Detection in Optical Remote Sensing Images, IEEE Transaction on Geoscience and Remote Sensing (SCI, IF=4.662), 2019. [PDF-offical version] [Project][ESI Highly Cited Paper]
5. Xiangyuan Gu, Jichang Guo, Lijun Xiao, Tao Ming, and Chongyi Li, A Feature Selection Algorithm Based on Equal Interval Division and Minimal-Redundancy–Maximal-Relevance, Neural Processing Letters (SCI, IF=2.591), 2019. [PDF-offical version]

Before 2018:

1. Chunle Guo, Chongyi Li⁺, Jichang Guo, et al., Hierarchical Features Driven Residual Learning for Depth Map Super-Resolution, IEEE Transaction on Image Processing (SCI, IF=9.34), 2018. [PDF-offical version] [Project]
2. Chongyi Li, Jichang Guo, Fatih Porikli, et al., LightenNet: A Convolutional Neural Network for Weakly Illuminated Image Enhancement, Pattern Recognition Letters (PRL) (SCI, IF=1.995), 2018. [PDF-offical version] [Project]
3. Chongyi Li, Jichang Guo, Chunle Guo, Emerging From Water: Underwater Image Color Correction Based on Weakly Supervised Color Transfer, IEEE Signal Processing Letters (SPL) (SCI, IF=2.528), 2018. [PDF-offical version] [ESI Highly Cited Paper][Project]
4. Chongyi Li, Jichang Guo, Chunle Guo, et al., A Hybrid Method for Underwater Image Correction, Pattern Recognition Letters (PRL) (SCI, IF=1.995), 2017. [PDF-offical version]
5. Chongyi Li, Jichang Guo, Runmin Cong, et al., Underwater Image Enhancement by Dehazing with Minimum Information Loss and Histogram Distribution Prior, IEEE Transactions on Image Processing (TIP) (SCI, IF=9.34), 2016. [PDF-offical version] [Code][ESI Highly Cited Paper][TIP Popular Documents]
6. Chongyi Li, Jichang Guo, Bo Wang, et al., Single Underwater Image Enhancement Based on Color Cast Removal and Visibility Restoration, Journal of Electronic Imaging (JEI) (SCI, IF=0.754), 2016. [PDF-offical version]
7. Chongyi Li, Jichang Guo, Shanji Chen, et al., Underwater Image Resstoration Based on Minimum Information Loss Principle and Optical Properties of Underwater Imaging, IEEE International Conference on Image Processing (ICIP), 2016. [PDF-offical version]
8. Chongyi Li, Jichang Guo, Yanwei Pang, et al., Single Underwater Image Restoration by Blue-Green Channles Dehazing and Red Channel Correction, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016. [PDF-offical version]
9. Chongyi Li, Jichang Guo, Underwater Image Enhancement by Dehazing and Color Correction, Journal of Electronic Imaging (JEI) (SCI, IF=0.754), 2016. [PDF-offical version]

Book&Book Chapter:

1. Chongyi Li, Huazhu Fu, Miao Yang, Runmin Cong, and Chunle Guo, Deep Retinal Image Non-Uniform Illumination Removal (Book Chapter)[Chapter], Generalization with Deep Learning: for improvement on Sensing Capability, Zhenghua Chen, Min Wu, and Xiaoli Li (Book), World Scientific, ISBN: 978-981-121-883-5, April 2021. [Book]

Invited Talk:

1. Valse Student Webinar 22-04. "面向底层视觉任务的基础算法"青年学者论坛. [Poster][Video (@bilibili in Chinese)],11/12/2022
2. Seeing in the Dark. Invited Talk, "师说新语，共话AI", SenseTime. [Poster] 25/11/2022
3. Comments on a paper in Nature Communications on Machine Learning. Invited by Connie Chang, SCIENTIFIC AMERICAN. [Article], February 2022 t>
Issue
4. Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation. Invited Talk, SenseTime. [PPT][Talk Video (@bilibili in Chinese AI画质)], 23/04/2021
5. Underwater Image Enhancement: Challenges, Benchmarks, and Solutions. Invited Talk, Center of Digital Media Information Processing, Beijing Jiaotong University. [Poster]
6. ASIF-Net: Attention Steered Interweave Fusion Network for RGB-D salient Object Detection. Invited Talk, ShenZhen Institutes of Advanced Technology, Chinese Academy of Sciences. [Poster]

Patent:

1. US Patent System and Method for Processing An Image[Link] [PDF]
2. China Patent ZL 2016 1 0606187.9 [PDF]
3. China Patent ZL 2016 1 1028224.9 [PDF]
4. China Patent ZL 2016 1 0244589.9 [PDF]
5. China Patent ZL 2018 1 0879724.6 [PDF]
6. China Patent ZL 2020 1 0199264.X [PDF]