xueshengke/libADMM

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MATLAB
Created about 7 years ago
Updated about 7 years ago

xueshengke/libADMM

xueshengke

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This is a general tool for low-rank models. Written by Canyi Lu.

ISEE-template

TNNR

This is an implementation of Truncated Nuclear Norm Regularization Method.

WRANSR-keras

This project is the implementation of paper "Xue S. et al., Wavelet-based Residual Attention Network for Image Super-Resolution, Neurocomputing, 2019".

Tensor-TNNR

IFNNSR

This is the implementation of paper "Xue, S., et al., Faster Image Super-Resolution by Improved Frequency Domain Neural Networks. Signal, Image and Video Processing, submitted, 2019."

DW-TNNR

This is an implementation of Double Weighted Truncated Nuclear Norm Regularization Method.

ZJU-VPN

This is a guide for the installing the VPN based on CentOS 7 (Linux Distribution).

2D-PUPO

This is an implementation of paper "S. Xue and R. Bai. 2D Probabilistic Undersampling Pattern Optimization for MR Image Reconstruction. IEEE Transactions on Medical Imaging, 2020, under review."

SRDenseNet-Caffe

This is the implementation of paper: "T. Tong, G. Li, X. Liu, et al., 2017. Image super-resolution using dense skip connections. ICCV, p.4809-4817."

FNNSR

This is the implementation of paper "Li, J., et al., A Frequency Domain Neural Network for Fast Image Super-resolution. International Joint Conference on Neural Networks (IJCNN), 2018."

TNNR-WRE

This is an implementation of Truncated Nuclear Norm Regularization Method Based on Weighted Residual Error.

Residual-Dense-Network-Caffe

This is the implementation of paper: "Y. Zhang, Y. Tian, Y. Kong, et al., 2018. Residual dense network for image super-resolution. CVPR, p.2472-2481."

CPLRR

This is an implementation of our paper "CPLRR" on the Journal of SIVP.