Code

In this page, you can download the codes/models of some my works. More can be found in the page of Publication.

• Self-supervised Image De-blurring with Untrained Network
  • Reference: Mingqin Chen, Yuhui Quan, Tongyao Pang and Hui Ji , “Nonblind Image Deconvolution via Leveraging Model Uncertainty in An Untrained Deep Neural Network”, International Journal of Computer Vision, 130, 1770–1789, July, 2022
  • Project at Github, last revision, May, 2022

• Supervised Deep Learning for Blind Defocus Deblurring
  • Reference: Zicong Wu, Yuhui Quan, and Hui Ji, “Gaussian kernel mixture network for single image defocus deblurring “, NeurIPS 2021
  • Project at Github, last revision, February, 2022

• Unsupervised Image Denoising with Untrained Network
  • Reference: Tongyao Pang, Huan Zheng, Yuhui Quan, and Hui Ji, “Recorrupted-to-Recorrupted: Unsupervised deep learning for image denoising”, CVPR 2021
  • Project at Github, last revision, November, 2021

• Self-supervised Bayesian Network for Image Reconstruction of Compressed Sensing
  • Reference: Tongyao, Pang, Yuhui, Quan and Hui Ji, “Self-supervised Bayesian deep learning for image recovery with applications to compressed sensing”, ECCV, 2020
  • Project at Github, last revision, Decemeber, 2020

• Self-supervised Image Denoising on Single Image
  • Reference: Yuhui Quan, Mingqin Chen, Tongyao Pang, and Hui Ji, “Self2Self with dropout: Learning self-supervised denoising from single image”, CVPR, 2020
  • Project at Github, last revision, June. 2020

• Supervised Deep Learning with Noise blindness for Non-blind Image Deblurring
  • Reference: Yuesong Nan, Yuhui Quan and Hui Ji, “Variational-EM-based deep learning for noise-blind image deblurring”, CVPR, 2020
  • Project at Github, last revision, July, 2020

• Supervised Deep Learning with Robustness to Kernel Uncertainty for Non-blind Image Deblurring
  • Reference: Yuesong Nan and Hui Ji, “Deep Learning for handling kernel/model uncertainty in image deconvolution”, CVPR, 2020
  • Project at Github, last revision, July, 2020

• Removing Raindrops from Single Image by Deep learning
  • Reference: Yuihui Quan, Shijie Deng, Yixin Chen, and Hui Ji, “Deep learning for seeing through window with raindrops”, ICCV, 2019
  • Project at Github, last revision, Oct. 2019

• Estimating Defocus Map of an Image with Defocused Regions
  • Reference: Guodong Xu, Yuhui Quan and H. Ji, “Estimating defocus blur through rank of local patches”, ICCV, 2017
  • Python implementation, last revision, Feb. 2019

•  Image De-raining via Discriminative Sparse Coding
  • Reference: Yu Luo, Yong Xu and Hui Ji, “Removing rain from a single image via discriminative sparse coding”, ICCV, Chile, 2015
  • MATLAB implementation, last revision, Jan. 2016

• Data-driven Non-local Frame and Image Deconvolution
  • Reference: Yuhui Quan, Hui Ji and Zuowei Shen, “Data-driven multi-scale non-local frame construction and image recovery”, Journal of Scientific Computing, 63(2), 307-329, 2015
  • MATLAB implementation, last revision, May 2015

•  L₀ norm based Dictionary Learning for Sparse Coding
  • Reference: Chenglong Bao, Hui Ji, Yuhui Quan and Zuowei Shen, “L₀ norm based dictionary learning by proximal methods with global convergence”, IEEE CVPR, Columbus, 2014
  • MATLAB implementation, last revision, Jul. 2014

•  Data-driven Tight Frame Construction and Image Denoising
  • Reference: Jianfeng Cai, Hui Ji, Zuowei Shen and Guibo Ye, “Data-driven tight frame construction and image denoising”,  Applied and Computational Harmonic Analysis, 37(1), 89-105, Jul. 2014
  • MATLAB implementation, last revision, May. 2014

• Robust Image Deconvolution in the Presence of Kernel Error
  • Reference: Hui Ji and Kang Wang, “Robust image deconvolution with an inaccurate blur kernel”, IEEE Transactions on Image Processing,21(4), 1624-1634, Apr. 2012
  • MATLAB implementation, last revision, Jun. 2014

•  Video Restoration by Robust Low-rank Matrix Approximation
  • Reference: (i) Hui Ji, Sibin Huang, Zuowei Shen, and Yuhong Xu, “Robust video restoration by joint sparse and low rank matrix approximation”, SIAM Journal on Imaging Sciences, 4(4), 1122-1142, Nov. 2011; (ii) Hui Ji, Chaoqiang Liu, Zuowei Shen and Yuhong Xu, “Robust video denoising using low rank matrix completion”, CVPR, 2010 (preliminary work)
  • MATLAB implementation, last revision, Jan. 2013

• Wavelet Frame based Single Image Blind Image Deblurring
  • Reference: (i) Jianfeng Cai, Hui Ji, Chaoqiang Liu and Zuowei Shen, “Framelet based blind image deblurring from a single image”, IEEE Transactions on Image Processing, 21 (2), 562-572, Feb. 2012; (ii) Jianfeng Cai, Hui Ji, Chaoqiang Liu and Zuowei Shen, “Blind motion deblurring from a single image using sparse approximation”, CVPR, 2009 (preliminary work)
  • MATLAB implementation, last revision. Feb. 2012