Chongyi Li



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

[GitHub] [DBLP]
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Publications

Projects

Welcome to Chongyi Li (李重仪)'s Homepage


2020/01-now, I join in the MMLab@NTU as a research fellow and work with Dr. Chen Change Loy, School of Computer Science and Engineering, Nanyang Technological University (NTU), Singapore.

2018/10-2020/01, I was a postdoctoral fellow and worked with Prof. Sam Kwong (IEEE Fellow), Department of Computer Science, City University of Hong Kong (CityU), Kowloon, Hong Kong.

2016/12-2017/12, I was a joint Ph.D. student at Research School of Engineering, Australian National University (ANU), Canberra, Australia, under the supervision of Prof. Fatih Porikli (IEEE Fellow).

2014/09-2018/07, I was a Ph.D. student at School of Electrical and Information Engineering, Tianjin University (TJU), Tianjin, China, under the supervision of Prof. Jichang Guo.


Research Interests:

    My primary reseach interests include image processing, computer vision, and deep learning, particularly in the domains of

  • Image and video restoration and enhancement The purpose is to develop algorithms to process an image or video so that result is more suitable than original image or video for specific application. The specific research topics are
    1. restoring and enhancing the images and videos captured in adverse weather (hazy, foggy, sandy, dusty, rainy, snowy day)
    2. restoring and enhancing the images and videos captured in special circumstances or devices (underwater, weak illumination, dark, under-display devices)
    3. general photo enhancement, auto image retouching
    4. image/depth super-resolution, image debluring, image denosing
  • Salient object detection The purpose is to design AI models to perceivce and understand scenes. The specific research topics are
    1. RGB-D salient object detection
    2. co-salient object detection
    3. remote sensing image salient object detection


Call for Papers:



Recent News:

  • 2021/01 -- One paper has been selected as ESI Highly Cited Paper
  • 2021/01 -- One paper has been accepted by Engineering Applications of Artificial Intelligence (IF: 3.526)
  • 2021/01 -- One paper has been accepted by Frontiers of Computer Science (IF: 1.940)
  • 2021/01 -- I am nominated with honor to serve as an Associate Editor of the Springer Journal of Signal, Image and Video Processing (IF: 1.794).
  • 2020/12 -- Two papers have been selected as ESI Highly Cited Paper
  • 2020/12 -- One paper has been accepted by Information Science
  • 2020/10 -- 2020 National Postdoctoral Forum on the Development and Application of Artificial Intelligence. Excellence Award
  • 2020/10 -- One paper has been accepted by IEEE Trans. Image Processing.
  • 2020/09 -- One paper has been accepted by NeurIPS
  • We released a survey about image colorization (Image Colorization: A Survey and Dataset). [Arxiv Version]
  • Chongyi Li, Runmin Cong, Yongri Piao, Qianqian Xu, and Chen Change Loy, RGB-D Salient Object Detection with Cross-Modality Modulation and Selection is accepted by ECCV2020. [Project page]
  • We release the testing code of our Zero-DCE for low-light image enhancement (CVPR 2020). You can find the [Code]. Have fun!


Projects:


Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement CVPR, 2020
Chunle Guo*, Chongyi Li*, Jichang Guo, Chen Change Loy, Junhui Hou, Sam Kwong, Runmin Cong.
PDF| Project Page| Code





RGB-D Salient Object Detection with Cross-Modality Modulation and Selection ECCV, 2020
Chongyi Li, Runmin Cong, Yongri Piao, Qianqian Xu, Chen Change Loy.
PDF| Project Page| Code









An Underwater Image Enhancement Benchmark Dataset and Beyond TIP, 2020
Chongyi Li, Chunle Guo, Wenqi Ren, Runmin Cong, Junhui Hou, Sam Kwong, Dacheng Tao.
PDF| Project Page| Benchmark| Code





Nested Network With Two-Stream Pyramid for Salient Object Detection in Optical Remote Sensing Images TGARS, 2020
Chongyi Li, Runmin Cong, Junhui Hou, Sanyi Zhang, Yue Qian, Sam Kwong.
PDF| Project Page| Benchmark| Results













CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object Detection NeurIPS, 2020
Qijian Zhang, Runmin Cong, Junhui Hou, Chongyi Li, and Yao Zhao.
PDF| Project Page





Dense attention fluid network for salient object detection in optical remote sensing images TIP, 2020
Qijian Zhang, Runmin Cong, Chongyi Li, Ming-Ming Cheng, Yuming Fang, Xiaochun Cao, Yao Zhao, and Sam Kwong.
PDF| Project Page Dataset





Hierarchical Features Driven Residual Learning for Depth Map Super-Resolution TIP, 2019
Chunle Guo*, Chongyi Li*, Jichang Guo, Runmin Cong, Huazhu Fu, Ping Han.
PDF| Project Page| Code





Participating Fundings:

  • "Study on the hierarchical modeling of underwater imaging and underwater image/video clearness method", The National Natural Science Foundation of China (NSFC). (Principal Participator)


Honors & Awards:

  • Three papers have been selected as ESI Highly Cited Paper.
  • 2020 National Postdoctoral Forum on the Development and Application of Artificial Intelligence, Tianjin, China. Excellence Award.
  • Distinguished Dissertation Award of Beijing Society of Image and Graphics, 2018.
  • "Outstanding Graduate Student" in Tianjin University, 2018.


Teaching:

  • NTU AI6126: Advanced Computer Vision, Teaching Assistant, 2020.


Professional Service:


    Associate Editor
    Springer Journal of Signal, Image and Video Processing (IF: 1.794)
    Guest Editor
    Signal Processing : Image Communication
    Multimedia Tools and Applications
    Reviewer
  • IEEE:
  • TPAMI, TIP, TCyber, TCSVT, TNNLS, TMM, TB, TIM, TGARS, TCSVT II: Express Briefs, ACCESS, SPL, JOE, JBHI, J-STARS, MultiMedia
  • Elsevier:
  • CVIUJOE, DSP, Neurocomputing, PRL; SPIC, JCG; Knowledge-based Systems
  • Springer:
  • IJCV, VC, SCIS, MVA, EURASIP JIVP
  • ACM:
  • Computing Surveys
  • IET:
  • CV
  • SPIE:
  • JEI
  • Conference:
  • ICPR 2018; ACM MM 2019;ICME 2020; ACM MM2020; MICCAI 2020; AAAI 2021; CVPR 2021; IJCAI 2021;ICME 2021; ICCV2021