Chongyi Li



📍 ABN-02b-11, NTU, SG
📧lichongyi25 at gmail.com
📧chongyi.li at ntu.edu.sg

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Welcome to Chongyi Li (李重仪)'s Homepage


2021/10 - , I am a Research Assistant Professor with the School of Computer Science and Engineering, Nanyang Technological University (NTU), Singapore.

2020/01 - 2021/10, I was a research fellow at the MMLab@NTU and worked 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 Chair 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.


Hiring:


We are looking for Research Fellow, Research Assistant, and Project Officer who want to conduct research and develop advanced deep learning algorithms for image and video enhancement and restoration, computational imaging, and image signal processor. [Join Us]




Research Interests:

    My primary reseach interests include artificial intelligence, machine learning, computer vision, and image processing, 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 deblurring, image denosing
  • Multi-Modality Scene Understanding The purpose is to design AI models to perceive 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


Recent News:

  • 2022/01 --One paper has been recognized as ESI Hot Paper
  • 2022/01 --One paper has been recognized as ESI Highly Cited Paper
  • 2022/01 --One papers is recognized as Popular Documents (the 50 most frequently accessed documents) in IEEE Transactions on Cybernetics
  • 2022/01 --I am nominated with honor to serve as an Associate Editor of Neurocomputing (IF: 5.719).
  • 2022/01 --Two papers are recognized as Popular Documents (the 50 most frequently accessed documents) in IEEE Transactions on Image Processing
  • 2022/01 --I am homored to be recognised as the World’s Top 2% Scientists (2020). It is compiled by Stanford University based on the standardized citation indicators (Table_1_Authors_singleyr_2020_wopp_extracted_202108), which is avaiable online at Mendeley Database


Low-Light Image Enhancement Platform: LLIE-Platform

  • Different deep models may be implemented in different platforms such as Caffe, Theano, TensorFlow, and PyTorch. As a result, different algorithms demand different configurations, GPU versions, and hardware specifications. Such requirements are prohibitive to many researchers, especially for beginners who are new to this area and may not even have GPU resources.
  • To resolve these problems, we develop an online platform, LLIE-Platform [LLIE-Platform]. If you use this platform, please cite our paper "Low-Light Image and Video Enhancement Using Deep Learning: A Survey", TPAMI, 2021.


Projects:


Low-Light Image and Video Enhancement Using Deep Learning: A Survey
TPAMI, 2021
Chongyi Li, Chunle Guo, Linghao Han, Jun Jiang, Ming-Ming Cheng, Jinwei Gu, Chen Change Loy.
PDF| Project Page| Collection| Dataset





Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network
CVPR, 2021
Ruicheng Feng, Chongyi Li, Huaijin Chen, Shuai Li, Chen Change Loy, Jinwei Gu.
PDF| Project Page| Code





Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Chongyi Li, Chunle Guo, Chen Change Loy.
PDF| Project Page| Code





Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding
IEEE Transactions on Image Processing (TIP), 2021
Chongyi Li, Saeed Anwar, Junhui Hou, Runmin Cong, Chunle Guo, Wenqi Ren.
PDF| Project Page| Code





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
IEEE Transactions on Image Processing (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
IEEE Trans Geosci Remote Sens (TGRS), 2020
Chongyi Li, Runmin Cong, Junhui Hou, Sanyi Zhang, Yue Qian, Sam Kwong.
PDF| Project Page| Benchmark| Results





Underwater Scene Prior Inspired Deep Underwater Image and Video Enhancement
Pattern Recognition (PR), 2020
Chongyi Li, Saeed Anwar, Fatih Porikli.
PDF| Project Page| Code





ASIF-Net: Attention Steered Interweave Fusion Network for RGB-D Salient Object Detection
IEEE Transactions on Cybernetics (TCyb), 2020
Chongyi Li, Runmin Cong, Sam Kwong, Junhui Hou, Huazhu Fu, Guopu Zhu, Dingwen Zhang, Qiangming Huang.
PDF| Code and 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| Code





Dense attention fluid network for salient object detection in optical remote sensing images
IEEE Transactions on Image Processing (TIP), 2020
Qijian Zhang, Runmin Cong, Chongyi Li, Ming-Ming Cheng, Yuming Fang, Xiaochun Cao, Yao Zhao, and Sam Kwong.
PDF| Project Page| Benchmark| Code





Hierarchical Features Driven Residual Learning for Depth Map Super-Resolution
IEEE Transactions on Image Processing (TIP), 2019
Chunle Guo, Chongyi Li, Jichang Guo, Runmin Cong, Huazhu Fu, Ping Han.
PDF| Project Page| Code





PDR-Net: Perception-Inspired Single Image Dehazing Network With Refinement
IEEE Transactions on Multimedia (TMM), 2019
Chongyi Li, Chunle Guo, Jichang Guo, Ping Han, Huazhu Fu, Runmin Cong.
PDF| Project Page| Code





Underwater Image Enhancement by Dehazing with Minimum Information Loss and Histogram Distribution Prior
IEEE Transactions on Image Processing (TIP), 2016
Chongyi Li, Jichang Guo, Runmin Cong, Yanwei Pang, Bo Wang.
PDF| Project Page| Code





Honors & Awards:

  • One paper has been recognized as ESI Hot Paper.
  • I am homored to be recognised as the World’s Top 2% Scientists (2020). It is compiled by Stanford University based on the standardized citation indicators (Table_1_Authors_singleyr_2020_wopp_extracted_202108), which is avaiable online at Mendeley Database.
  • Two papers are recognized as Popular Documents (the 50 most frequently accessed documents) in IEEE Transactions on Image Processing.
  • One paper is recognized as Popular Documents (the 50 most frequently accessed documents) in IEEE Transactions on Cybernetics.
  • 2021 Innovation in Information Technology Application and Artificial Intelligent Academic Forum for Post-doctoral Talents, Tianjin, China. Runners-up Award. PDF
  • Five papers have been recognized as ESI Highly Cited Paper. PDF
  • ICCV (Outstanding Reviewer in 2021). PDF
  • CVPR (Outstanding Reviewer in 2021). PDF
  • 6th, NTIRE 2021 Challenge on Non-Homogeneous Image Dehazing, 2021. PDF
  • 2020 National Postdoctoral Forum on the Development and Application of Artificial Intelligence, Tianjin, China. Excellence Award. PDF
  • Distinguished Dissertation Award of Beijing Society of Image and Graphics, 2018.Media
  • "Outstanding Graduate Student" in Tianjin University, 2018.


Co-Supervision and Teaching:

  • Co-Supervisor, M.E.: Zhexin Liang (Zhejiang University), AI Major Project: Image and Video Enhancement, NTU, 01/2022-present
  • Co-Supervisor, M.E.: Yuekun Dai (Peking University), AI Major Project: Video Depth Estimation, NTU, 08/2021-present
  • Co-Supervisor, M.E.: Zurang Liu (Beijing University of Posts and Telecommunications), AI Major Project: Deep Image Harmonization, NTU, 01/2021-present
  • Co-Supervisor, M.E.: Qiming Ai (University of Science and Technology of China), AI Major Project: Deep Photo Enhancement, NTU, 01/2020-12/2020
  • Co-Supervisor, FYP: Sihao Chen, Project: Learning to See in the Dark [Final Report--Video (A+)], NTU, 06/2020-06/2021. Sihao's project is awarded the 2021 Global Undergraduate Awards for his entry 'Learning to See in the Dark - Low Light Image Enhancement'. [The Global Undergraduate Awards][NTU News]
  • Co-Supervisor, M.E.: Xingshu Wang (Beijing University of Posts and Telecommunications), Project: Reference-Based Image Super-Resolution, ANU
  • Co-Supervisor, M.E.: Yuheng Shi (Nanjing University of Posts and Telecommunications), Project: Hand Guesture Recognition in Adverse Environment, ANU
  • Teaching Assistant, NTU CE6126: MSAI Advanced Computer Vision, NTU, Fall 2020


Professional Service:


    Associate Editor
    2022/01- : Neurocomputing (IF: 5.719)
    2021/01- : Springer Journal of Signal, Image and Video Processing (IF: 1.794)

    Guest Editor
    IEEE Journal of Oceanic Engineering (Lead Guest Editor) (IF: 2.9)
    Signal Processing: Image Communication (Management Guest Editor) (IF:2.779)
    Multimedia Tools and Applications (IF: 2.313)
    Session Chair
    Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) 2019
    Senior Program Committee (Meta-Reviewers)
    AAAI 2022


Miscellaneous: