Chongyi Li



📧lichongyi25 at gmail.com
📧lichongyi at nankai.edu.cn


Homepage

Publications

Publications:

Preprint:

  1. C. Li, C. Guo, R. Feng, etc, CuDi: Curve Distillation for Efficient and Controllable Exposure Adjustment. [PDF-arXiv version] [Project]
  2. S. Anwar, M. Tahir, C. Li, et al., Image Colorization: A Survey and Dataset. [PDF--arXiv Version][Project]

2023:

  1. Iterative Prompt Learning for Unsupervised Backlit Image Enhancement, International Conference on Computer Vision (ICCV), 2023. [PDF-arXiv version][Project]
  2. ProPainter: Improving Video Inpainting with Enhanced Propagation and Efficient Transformer, International Conference on Computer Vision (ICCV), 2023. [PDF-arXiv version][Project]
  3. 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. Fourmer: An Efficient Global Modeling Paradigm for Image Restoration, International Conference on Machine Learning (ICML), 2023. [PDF-arXiv version][Project]
  5. Nighttime Smartphone Reflective Flare Removal Using Optical Center Symmetry Prior, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [PDF-arXiv version][Project]
  6. DNF: Decouple and Feedback Network for Seeing in the Dark, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [PDF-arXiv version][Project]
  7. RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priors, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [PDF-arXiv version][Project]
  8. Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [PDF-arXiv version][Project]
  9. 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]
  10. Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement, International Conference on Learning Representations (ICLR), 2023. [PDF-arXiv version][Project]
  11. Underwater Ranker: Learn Which Is Better and How to Be Better, AAAI Conference on Artificial Intelligence (AAAI), 2023. [PDF-arXiv version][Project]
  12. Is Underwater Image Enhancement All Object Detectors Need?, IEEE Journal of Oceanic Engineering (SCI, IF=3.554), 2023. [PDF-offical version][Code]

2022:

  1. Deep Fourier Up-Sampling, Neural Information Processing Systems (NeurIPS), 2022. [PDF-arXiv version] [Project]
  2. Towards Robust Blind Face Restoration with Codebook Lookup TransFormer, Neural Information Processing Systems (NeurIPS), 2022. [PDF-arXiv version] [Project]
  3. Flare7K: A Phenomenological Nighttime Flare Removal Dataset, Neural Information Processing Systems (NeurIPS), 2022. [PDF-arXiv version] [Project]
  4. LEDNet: Joint Low-light Enhancement and Deblurring in the Dark, European Conference on Computer Vision (ECCV), 2022. [PDF-arXiv version] [Code][Project]
  5. 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]
  6. 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]
  7. 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]
  8. 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]
  9. 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. 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. 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. 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]
  4. Investigating Attention Mechanism in 3D Point Cloud Object Detection, International Conference on 3D Vision 2021 (3DV) , 2021. [PDF-arXiv version][PDF-offical version][Project]
  5. 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]
  6. Bayesian Retinex Underwater Image Enhancement, Engineering Applications of Artificial Intelligence (SCI, IF=3.526), 2021. [PDF-offical version][ESI Highly Cited Paper]
  7. Conditional Mutual Information-Based Feature Selection Algorithm for Maximal Relevance Minimal Redundancy, Applied Intelligence (SCI, IF=3.325), 2021. [PDF-offical version]

2020:

  1. 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. 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. 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. Diving Deeper Into Underwater Image Enhancement: A Survey, Signal Processing: Image Communication (SCI, IF=2.814), 2020. [PDF-arXiv version] [PDF-offical version]
  5. Stereo Superpixel: An Iterative Framework Based on Parallax Consistency and Collaborative Optimization, Information Science (SCI, IF=5.524), 2020. [PDF-offical version]

2019:

  1. 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]
  2. PDR-Net: Perception-Inspired Single Image Dehazing Network with Refinement, IEEE Transaction on Multimedia (SCI, IF=5.452), 2019. [PDF-offical version]
  3. 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. 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. LightenNet: A Convolutional Neural Network for Weakly Illuminated Image Enhancement, Pattern Recognition Letters (PRL) (SCI, IF=1.995), 2018. [PDF-offical version] [Project]
  3. 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. A Hybrid Method for Underwater Image Correction, Pattern Recognition Letters (PRL) (SCI, IF=1.995), 2017. [PDF-offical version]
  5. 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. 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. Underwater Image Restoration Based on Minimum Information Loss Principle and Optical Properties of Underwater Imaging, IEEE International Conference on Image Processing (ICIP), 2016. [PDF-offical version]
  8. Single Underwater Image Restoration by Blue-Green Channels Dehazing and Red Channel Correction, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016. [PDF-offical version]

Book&Book Chapter:

  1. 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]