[1] Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu. Kronecker-Basis-Representation Based Tensor Sparsity and Its Applications to Tensor Recovery, accepted in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017.
[2] Dong Zeng, Qi Xie, Wenfei Cao, Jiahui Lin, Shanli Zhang, Jing Huang, Zhaoying Bian, Deyu Meng, Zongben Xu, Zhengrong Liang, Wufan Chen, and Jianhua Ma. Low-dose dynamic cerebral perfusion computed tomography reconstruction via Kronecker-basis-representation tensor sparsity regularization. Accepted by IEEE Transactions on Medical Image, 2017.
[3] Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu, Shuhang Gu, Wangmeng Zuo and Lei Zhang. Multispectral images denoising by intrinsic tensor sparsity regularization. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. [supplementary material] [Matlab code]
[4] Qian Zhao, Deyu Meng, Xu Kong, Qi Xie, Wenfei Cao, Yao Wang, Zongben Xu. A Novel Sparsity Measure for Tensor Recovery, ICCV, 2015. [supplementary material]
[5] Yi Peng, Deyu Meng, Zongben Xu, Chenqiang Gao, Yi Yang, Biao Zhang. Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising. Supplementary Material, CVPR, 2014. Matlab code.
[6] Wenfei Cao, Yao Wang, Jian Sun, Deyu Meng, Can Yang, Andrzej Cichocki, Zongben Xu. Total Variation Regularized Tensor RPCA for Background Subtraction from Compressive Measurements. IEEE Transactions on Image Processing, 2016.[Demo code]