Juncheng Lee

I am a Ph.D. student at East China Normal University (ECNU).
My main research interests include image reconstruction and enhancement based on Deep Learning. My google scholar is: Juncheng Li (李俊诚)

Research Experiences

  • Academic Visitor at The Chinese University of HongKong (CUHK) in 2019.8.16--2019.09.30.
  • Research Assistant at The Chinese University of HongKong (CUHK) in 2018.05.10--2018.09.10.
  • News

  • We won the 1 place in "Example-based RAW to RGB Mapping Challenge, Track 2: Perceptual. (ICCV-AIM2019)".
  • We won the 2 place in "Example-based RAW to RGB Mapping Challenge, Track 1: Fidelity. (ICCV-AIM2019)".
  • We won the 5 place in "YouKu Video Super-resolution and Enhancement Challenge" (5/1514).
  • One paper is accepted at ICCV-LCI Workshop 2019 (Oral).
  • One paper is accepted at IET Image Processing.
  • One paper is accepted at ACCV 2018.
  • We won the 3 place in "ChinaMM2018 Image Dehazing Challenge".
  • One paper is accepted at ICONIP 2018.
  • One paper is accepted at ECCV 2018.
  • One paper is accepted at CVPR-NTIRE Workshop 2018.
  • We won the 6 place and awarded "Honorable Mention Award" in "NTIRE 2018 Challenge on Image Dehazing".
  • We won the 24 place in "JData algorithm competition" (Construction of the prediction model for the purchase intention of high potential users, 24/4240).
  • Selected Publications

  • Lightweight and Accurate Recursive Fractal Network for Image Super-Resolution.
    [Paper] [Poster] [Code]

    Juncheng Li, Yiting Yuan, Kangfu Mei, and Faming Fang

    In Proceedings of International Conference on Computer Vision Workshop (ICCVW, Oral), 2019.
    Learning for Computational Imaging (LCI) Workshop
  • Multi-scale Residual Network for Image Super-Resolution.
    [Paper] [Poster] [Code]

    Juncheng Li, Faming Fang, Kangfu Mei, and Guixu Zhang

    In Proceedings of European Conference on Computer Vision (ECCV), 2018.
  • Competition Report

  • NTIRE 2018 Challenge on Image Dehazing: Methods and Results.
    [Paper]
    In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2018.
    New Trends in Image Restoration and Enhancement Workshop
  • Cooperative Paper

  • Deep Residual Refining based Pseudo Multi-frame Network for Effective Single Image Super-Resolution
    [Paper]

    Aiwen Jiang, Kangfu Mei, Juncheng Li, Bo Liu, Jihua Ye and Mingwen Wang

    IET Image Processing, 2019
  • Progressive Feature Fusion Network for Realistic Image Dehazing
    [Paper] [Code]

    Kangfu Mei, Aiwen Jiang, Juncheng Li, and Mingwen Wang

    In Proceedings of Asian Conference on Computer Vision (ACCV), 2018.
  • An Effective Single-Image Super-Resolution Model Using Squeeze-and-Excitation Networks
    [Paper]

    Kangfu Mei, Aiwen Jiang, Juncheng Li, Jihua Ye, and Mingwen Wang

    In Proceedings of International Conference on Neural Information Processing (ICONIP), 2018.
  • Social Activity

  • I became a reviewer of《IEEE Transactions on Image Processing》in 2019.
  • I became a reviewer of《IET Computer Vision》in 2019.
  • I became a reviewer of《IET Signal Processing》in 2019.
  • My friend and I build a non-profit organization (MIVRC) for open source image processing projects in 2019.
  • I became a reviewer of《IET Image Processing》in 2018.
  • I became a reviewer of《IET Electronics Letters》in 2018.
  • I build CLFStudio in 2015, a student studio dedicated to creative project development.
  • Statistics from September 12, 2019