wzhshi
Dr. Wuzhen Shi (石武祯) is currently an assistant professor with the College of Electronics and Information Engineering, Shenzhen University.
Shenzhen UniversityShenzhen
Pinned Repositories
caffe
Caffe: a fast open framework for deep learning.
CSNet
This is the test demo for "Deep networks for compressed image sensing." (ICME2017) Author: Wuzhen Shi Email: wzhshi@hit.edu.cn
MS-CSNet
A multi-scale version of CSNet (called MS-CSNet) will be published in ICIP2018. The code is coming soon ...
MSSRNet
release code for ICIP2017 paper "Single Image Super-resolution with Dilated Convolution based Multi-scale Information Learning Inception Module"
ResNet-Matconvnet
Train Deep Residual Network from Scratch or or Fine-tune Pre-trained Model using Matconvnet
SCSNet
The training codes and some pre-trained models for my CVPR2019 paper "Scalable Convolutional Neural Network for Image Compressed Sensing".
SelfExSR
Single Image Super-Resolution from Transformed Self-Exemplars (CVPR 2015)
TCSVT-VCSNet
This is the test code for our TCSVT paper "Video Compressed Sensing Using a Convolutional Neural Network".
TIP-CSNet
The training codes, the training data, and some pre-trained models for my TIP paper "Image Compressed Sensing using Convolutional Neural Network".
wzhshi's Repositories
wzhshi/TIP-CSNet
The training codes, the training data, and some pre-trained models for my TIP paper "Image Compressed Sensing using Convolutional Neural Network".
wzhshi/SCSNet
The training codes and some pre-trained models for my CVPR2019 paper "Scalable Convolutional Neural Network for Image Compressed Sensing".
wzhshi/CSNet
This is the test demo for "Deep networks for compressed image sensing." (ICME2017) Author: Wuzhen Shi Email: wzhshi@hit.edu.cn
wzhshi/MSSRNet
release code for ICIP2017 paper "Single Image Super-resolution with Dilated Convolution based Multi-scale Information Learning Inception Module"
wzhshi/TCSVT-VCSNet
This is the test code for our TCSVT paper "Video Compressed Sensing Using a Convolutional Neural Network".
wzhshi/MS-CSNet
A multi-scale version of CSNet (called MS-CSNet) will be published in ICIP2018. The code is coming soon ...
wzhshi/caffe
Caffe: a fast open framework for deep learning.
wzhshi/ResNet-Matconvnet
Train Deep Residual Network from Scratch or or Fine-tune Pre-trained Model using Matconvnet
wzhshi/SelfExSR
Single Image Super-Resolution from Transformed Self-Exemplars (CVPR 2015)