Chun-Le Guo

Chun-Le Guo is an associate professor at Nankai University.  Before that, he was a postdoc working with Prof. Ming-Ming Cheng at Nankai University. He received his Ph.D. degree from Tianjin University in China under the supervision of Prof. Ji-Chang Guo. He conducted the Ph.D. research as a Visiting Student with the School of Electronic Engineering and Computer Science, Queen Mary University of London (QMUL), UK. Then he continued his research as a Research Associate with the Department of Computer Science, City University of Hong Kong (CityU of HK).

Email:  guochunle@nankai.edu.cn

His research interests lie in image processing, computer vision, deep learning, particularly in the domains:

  1. Image and video restoration and enhancement, such as images captured under bad weather (hazy, foggy, sandy, dusty, rainy, snowy day) and special circumstances (underwater and weak illumination)
  2. AI ISP, such as raw denoising
  3. RGB-D data related applications, such as color image guided depth super-resolution reconstruction
  4. Light Field data related applications, such as light field depth estimation

Publications:

  1. 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]
  2. 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]
  3. Zhen Li, Zuoliang Zhu, Linghao Han, Qibin Hou, Chunle Guo*, Ming-Ming Cheng, AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [Paper][Code][中译版]
  4. 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]
  5. Zheng Lin, Zheng-Peng Duan, Zhao Zhang, Chunle Guo*, Ming-Ming Cheng, KnifeCut: Refining Thin Part Segmentation with Cutting Lines, Proceedings of the 30th ACM International Conference on Multimedia(ACM MM), 2022. [Paper] 
  6. Zuo-Liang Zhu, Zhen Li, Rui-Xun Zhang, Chunle Guo*, Ming-Ming Cheng, Designing an Illumination-Aware Network for Deep Image Relighting,  IEEE Transactions on Image Processing (TIP), 2022. [Paper] [Code]
  7. Chunle Guo, Qixin Yan, Chongyi Li*, et al., Image Dehazing Transformer with Transmission-Aware 3D Position Embedding, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2022. [Paper][Code][Project]
  8. Zheng Lin, Zhengpeng Duan, Zhao Zhang, Chunle Guo*, Ming-Ming Cheng, FocusCut: Diving into a Focus View in Interactive Segmentation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2022. [Paper][Project]
  9. Zhen Li#, Chengze Lu#, Jianhua Qin, Chunle Guo*, Ming-Ming Cheng, Towards An End-to-End Framework for Flow-Guided Video Inpainting, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [Paper] [Code]
  10. 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(TPAMI), 2021. [PDF-arXiv version][PDF-offical version][Project][Invited Talk 商汤学术 AI画质@B站, in Chinese]
  11. 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(TPAMI), 2021. [Paper ][Code][中译版]
  12. Chunle Guo, Junhui Hou*, Jing Jin, et al., Accurate Light Field Depth Estimation via an Occlusion-Aware Network, in IEEE International Conference on Multimedia & Expo(ICME), 2020.[Paper]
  13. Chunle Guo, Chongyi Li, Jichang Guo*, et al., Zero-Reference Learning for Low-Light Image Enhancement, in IEEE Conference on Computer Vision and Pattern Recognition, 2020.[Paper][Supplementary Material][Preject][Code]
  14. Chongyi Li, Chunle Guo, Wenqi Ren*, et al., An Underwater Image Enhancement Benchmark Dataset and Beyond, in IEEE Transactions on Image Processing (TIP), 2019.[Paper][Project][Benchmark][Code]
  15. Chunle Guo#, Chongyi Li#*, Jichang Guo, et al., Hierarchical features driven residual learning for depth map super-resolution, IEEE Transactions on Image Processing (TIP), 2019.[Paper][Project][Code]

Notes: Joint first authors are indicated using # and corresponding authors are indicated using *.

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