Chongyi Li



lichongyi25@gmail.com lichongyi@tju.edu.cn

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Publications

Projects

Publications:

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]
  3. Chongyi Li, Huazhu Fu, Runmin Cong, et al., NuI-Go: Recursive non-local encoder-decoder 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-Arxiv version] [PDF-offical version] [Project]
  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]
  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]
  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]
  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-Arxiv version] [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. Saeed Anwar, Muhammad Tahir, Chongyi Li, et al., Image Colorization: A Survey and Dataset. [PDF--Arxiv Version]
  13. 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]
  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]
  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]
  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] [Project]
  5. Miao Yang, Jintong Hu, Chongyi Li, et al., An In-depth Survey of Underwater Image Enhancement and Restoration, IEEE ACCESS (SCI,IF.3.244), 2019. [PDF]
  6. Bo Wang and Chongyi Li, A visual hierarchical framework based model for underwater image enhancement, Frontiers of Computer Science (SCI, IF=1.105), 2019. [PDF]
  7. 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]

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] [Project]
  2. Chongyi Li, Jichang Guo, Fatih Porikli, et al., A convolutional neural network cascade for single image dehazing, IEEE Access (SCI, IF=3.244), 2018. [PDF]
  3. 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] [Project]
  4. 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] [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]
  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]
  3. Yan Zhang, Jichang Guo, Chongyi Li, Compressive sensing in wireless multimedia sensor networks based on low-rank approximation, IEEE International Conference on Communications (ICC), 2017. [PDF]

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] [Code]
  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]
  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]
  4. Chongyi Li, Jichang Guo, Yanwei Pang, et al., Single underwater image resstoration by blue-green channles dehazing and red channel correction, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016. [PDF]
  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]

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]
  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]

Domestic Papers:

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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. Underwater Image Enhancement: Challenges, Benchmarks, and Solutions. Invited Talk, Center of Digital Media Information Processing, Beijing Jiaotong University. [Poster]
  2. 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. ZL 2016 1 0606187.9 [PDF]
  2. ZL 2016 1 1028224.9 [PDF]
  3. ZL 2016 1 0244589.9 [PDF]