Chongyi Li



📧lichongyi25 at gmail.com
📧chongyi.li at ntu.edu.sg

[GitHub] [DBLP]
[Google Scholar]


Homepage

Publications

Publications:

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]

2021:

  1. Chongyi Li, Chunle Guo, Linghao Han, et al., Low-Light Image and Video Enhancement Using Deep Learning: A Survey, A Survey, An Online Platform, A New Dataset, 2021. [PDF-arXiv version] [PDF-offical version] [Project][Online Platform]
  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]
  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]
  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]
  5. 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]
  6. Hai-Han Sun, Yee Hui Lee, and Chongyi Li, et al., The Orientation Estimation of Elongated Underground Objects via Multi-Polarization Aggregation and Selection Neural Network, IEEE Geoscience and Remote Sensing Letters (SCI, IF=3.833), 2021. [PDF-arXiv version]
  7. 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]
  8. 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]
  9. Shi Qiu, Yunfan Wu, Saeed Anwar, and Chongyi Li, Investigating Attention Mechanism in 3D Point Cloud Object Detection, [PDF-arXiv 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]
  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 (corresponding author), 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]
  9. Qing Qi, Jichang Guo, Chongyi Li, and Lijun Xiao, Blind Face Images Deblurring with Enhancement, Multimedia Tools and Applications (SCI, IF=2.6), 2019. [PDF-official version]
  10. 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]
  11. Bo Wang, Bowen Wei, Zitong Kang, Li Hu, and Chongyi Li, Fast Color Balance and Multi-Path Fusion for Sandstorm Image Enhancement, Signal, Image and Video Processing (SCI, IF=1.794), 2020. [PDF-offical version]
  12. 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]
  13. Saeed Anwar, Muhammad Tahir, Chongyi Li, et al., Image Colorization: A Survey and Dataset. [PDF--arXiv Version]
  14. Chongyi Li, Chunle Guo, Qiming Ai, Shangchen Zhou, Chen Change Loy, Flexible Piecewise Curves Estimation for Photo Enhancement. [PDF--arXiv 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]
  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]
  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]
  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]

2018:

  1. Chunle Guo, Chongyi Li (co-first author, corresponding author), 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] [Project]

2017:

  1. 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]
  2. Yan Zhang, Jichang Guo, Chongyi Li, Image Compressed Sensing Based on Non-Convex Low-Rank Approximation, Multimedia Tools and Applications (MTA) (SCI, IF=1.530), 2017. [PDF-offical version]

2016:

  1. 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]
  2. 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]
  3. 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]
  4. 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]
  5. Runmin Cong, Ping Han, Chongyi Li, et al, Manmade Target Extraction Based on Multi-Stage Decision and Its Application for Change Detection in Polarimetric Synthetic Aperture Radar Image, Journal of Electronic Imaging (JEI) (SCI, IF=0.754), 2016. [PDF-offical version]

2015:

  1. 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]
  2. Bo Wang, Jichang Guo, Yan Zhang, Chongyi Li, Hierarchical Feature Concatenation-Based Kernel Sparse Representations for Image Categorization, The Visual Computer (TVC) (SCI, IF:1.468), 2016. [PDF-offical version]

Domestic Papers:

  1. 顾翔元, 郭继昌, 李重仪, 肖利军,基于对称不确定性和三路交互信息的特征子集选择算法, 天津大学学报,2021.
  2. 雍子叶, 郭继昌, 李重仪, 融于注意力机制的弱监督水下图像增强算法, 浙江大学学报, 2020.
  3. 丛润民, 张禹墨, 张晨, 李重仪, 赵耀, 深度学习驱动的水下图像增强与复原研究进展, 信号处理, 2020.
  4. 郭继昌, 李重仪, 郭春乐, 水下图像增强和复原方法研究进展综述, 中国图象图形学报, 2017, 3: 273-287.
  5. 郭继昌, 李重仪, 张艳, 面向水下图像的质量评价方法, 中国图象图形学报, 2017, 1: 1-8.
  6. 顾翔元, 郭继昌, 田煜衡, 李重仪, 基于条件互信息的空域隐写检测特征选择算法, 天津大学学报, 2017.
  7. 王建, 宋占杰, 李重仪, 水下图像增强方法研究现状, 海洋技术学报, 2016.

Invited Talk:

  1. 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
  2. Underwater Image Enhancement: Challenges, Benchmarks, and Solutions. Invited Talk, Center of Digital Media Information Processing, Beijing Jiaotong University. [Poster]
  3. 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. A System and Method for Processing an Image[PDF]
  2. ZL 2016 1 0606187.9 [PDF]
  3. ZL 2016 1 1028224.9 [PDF]
  4. ZL 2016 1 0244589.9 [PDF]