Ying Fu



I am currently a professor with the School of Computer Science and Technology, Beijing Institute of Technology. I received the B.S. degree in Electronic Engineering from Xidian University in 2009, the M.S. degree in Automation from Tsinghua University in 2012, and the Ph.D. degree in information science and technology from the University of Tokyo in 2015. My research interests include computer vision, image and video processing, and computational photography.

Recent News


  • [2021.04] Two papers are accepted by CVPR 2021.
  • [2021.03] Our paper is accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  • [2020.07] We are happy and honoured to receive an Outstanding Paper Award of ICML 2020.
  • [2020.07] Our paper is accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
  • [2020.06] Our paper has been accepted and selected as an Oral presentation in ICML 2020.
  • [2020.03] Two papers are accepted by CVPR 2020,and one has been selected as an Oral presentation.
  • [2020.02] One paper is accepted by IEEE Transactions on Neural Network and Learning System (TNNLS).

Opening Positions


I’m looking for self-motivated Ph. D./M. S. students with solid background in programming and mathematics. I’m also looking for several PostDocs with strong research background in computer vision, image processing, and deep learning, to join my group.
Please send me email if you have interest.

Selected Publications


130x130

  • Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems
  • Kaixuan Wei, Angelica Aviles-Rivero, Jingwei Liang, Ying Fu, Carola-Bibiane Schnlieb, Hua Huang
  • International Conference on Machine Learning (ICML), 2020 (Oral)
[pdf] [code] [bibtex]

130x130

  • A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising
  • Kaixuan Wei, Ying Fu, Jiaolong Yang, Hua Huang
  • IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 (Oral)
[pdf] [code] [bibtex]


130x130

  • Illumination Modulation for Reflective and Fluorescent Separation
  • Ying Fu, Yunhao Zou, Liheng Bian, Yuxiang Guo, Hua Huang
  • Optics Letters(OL), vol.45, no.5, pp.1120-1123, 2020
[pdf] [bibtex]


130x130

  • Hyperspectral Image Reconstruction using Deep External and Internal Learning
  • Tao Zhang, Ying Fu, Lizhi Wang, Hua Huang
  • IEEE International Conference on Computer Vision (ICCV), 2019
[pdf] [bibtex]


130x130

  • Incremental Learning Using Conditional Adversarial Networks
  • Ye Xiang, Ying Fu, Pan Ji, Hua Huang
  • EEE International Conference on Computer Vision (ICCV), 2019
[pdf] [bibtex]


counter free Locations of visitors to this page
Last Update: Jun. 26, 2020