Softwares (源代码下载)

--More links to codes can be found in the paper.

9. Neural Diffusion Distance

Reference: Jian Sun, Zongben Xu. Neural Diffusion Distance for Image Segmentation. Thirty-third Conference on Neural Information Processing Systems (NeurIPS), 2019

Github:  https://github.com/jiansun/Neural_diffusion_distance

 

8. ADMM-CSNet (IEEE TPAMI  2019)

Link to code: https://github.com/yangyan92/ADMM-CSNet

Reference: Yan Yang, Jian Sun*, Huibin Li, Zongben Xu. ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing. IEEE Trans. on Pattern Recognition and Machine Intelligence, 2019 

 

7. Proximal Dehaze-net (ECCV 2018)

Link to code: https://github.com/legendongary/. 

 

6. BM3D-Net

Link to code: https://github.com/legendongary/BM3D-Net

[1] Dong Yang, Jian Sun*. BM3D-Net: A Convolutional Neural Network for Transform-Domain Collaborative Filtering, IEEE Signal Processing Letter, 2018

 

5.  Deep ADMM-Net for Compressive Sensing MRI

Link to code: https://github.com/yangyan92/Deep-ADMM-Net

References:

[1] [ Yan Yang, Jian Sun, Huibin Li, Zongben Xu.  Deep ADMM-Net for Compressive Sensing MRI, Advances in Neural Information Processing Systems (NIPS), 2016

 

4.  Learning Dictionary of Discriminative Part Detectors for Image Categorization and Cosegmentation (code)

References:

[1]Jian Sun and Jean Ponce. Learning Dictionary of Discriminative Part Detectors for Image Categorization and Cosegmentation, International Journal of Computer Vision, accepted, 2015.

[2]Jian Sun, Jean Ponce. Learning Discriminative Part Detectors for Image Classification and Cosegmentation. International Conf. Computer Vision (ICCV), Sydney, 2013 

 

3. Learning a convolutional neural network for non-uniform motion blur removal (code)

Reference:

[1] Jian Sun, Wenfei Cao, Zongben Xu, Jean Ponce. Learning a Convolutional Neural Network for Non-uniform Motion Blur Removal.  IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Columbus, USA, 2015

2. Tensor PCA for background substraction from compressive measurements (code)

Reference:

[1] Wenfei Cao, Yao Wang, Jian Sun, Deyu Meng, Can Yang, Andrzej Cichocki, Zongben Xu, A Novel Tensor Robust PCA Approach for Background Subtraction from Compressive Measurements (demo codes), IEEE Transactions on Image Processing, accepted with revision, 2015.

1. Non-local range Markov Random Field for image restoration (demo code)

 Reference：

[1]Jian Sun, Marshall Tappen. Learning Non-Local Range Markov Random Field for Image Restoration.  IEEE Conf. Computer Vision and Pattern Recognition (CVPR), Colorado, USA, 2011.