shangqigao
Postdoctoral researcher in University of Oxford. I'm Interested in inverse problems, computational imaging, and deep learning
University of OxfordOxford, UK
Pinned Repositories
BayeSeg
The official implementation of "Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation" via Pytorch
BayeSR
The official implementation of "Bayesian Image Super-Resolution with Deep Modeling of Image Statistics" via TensorFlow
darknet
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
DeepIDR
An Introduction of "Deep Image Decomposition and Reconstruction"
EDSR-PyTorch
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
gsq-image-SR
Multi-scale deep neural networks for real image super-resolution
perceptual-loss-style-transfer
Tensorflow Implementation: Johnson, J., Alahi, A. and Fei-Fei, L., 2016, October. Perceptual losses for real-time style transfer and super-resolution. In European Conference on Computer Vision (pp. 694-711). Springer, Cham.
RONet
The official implementation of "Rank-One Network: An Effective Framework for Image Restoration" via TensorFlow
shangqigao.github.io
TensorCompletion
A collection of tensor completion algorithms
shangqigao's Repositories
shangqigao/BayeSR
The official implementation of "Bayesian Image Super-Resolution with Deep Modeling of Image Statistics" via TensorFlow
shangqigao/BayeSeg
The official implementation of "Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation" via Pytorch
shangqigao/gsq-image-SR
Multi-scale deep neural networks for real image super-resolution
shangqigao/RONet
The official implementation of "Rank-One Network: An Effective Framework for Image Restoration" via TensorFlow
shangqigao/TensorCompletion
A collection of tensor completion algorithms
shangqigao/DeepIDR
An Introduction of "Deep Image Decomposition and Reconstruction"
shangqigao/darknet
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
shangqigao/EDSR-PyTorch
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
shangqigao/perceptual-loss-style-transfer
Tensorflow Implementation: Johnson, J., Alahi, A. and Fei-Fei, L., 2016, October. Perceptual losses for real-time style transfer and super-resolution. In European Conference on Computer Vision (pp. 694-711). Springer, Cham.
shangqigao/shangqigao.github.io