--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.