research
∙
05/24/2023
SVDinsTN: An Integrated Method for Tensor Network Representation with Efficient Structure Search
Tensor network (TN) representation is a powerful technique for data anal...
share
research
∙
03/02/2022
CD-GAN: a robust fusion-based generative adversarial network for unsupervised change detection between heterogeneous images
In the context of Earth observation, the detection of changes is perform...
research
∙
12/04/2021
A Triple-Double Convolutional Neural Network for Panchromatic Sharpening
Pansharpening refers to the fusion of a panchromatic image with a high s...
research
∙
10/17/2021
Nonlinear Transform Induced Tensor Nuclear Norm for Tensor Completion
The linear transform-based tensor nuclear norm (TNN) methods have recent...
research
∙
10/17/2021
Fully-Connected Tensor Network Decomposition for Robust Tensor Completion Problem
The robust tensor completion (RTC) problem, which aims to reconstruct a ...
research
∙
09/05/2021
Fusformer: A Transformer-based Fusion Approach for Hyperspectral Image Super-resolution
Hyperspectral image has become increasingly crucial due to its abundant ...
research
∙
05/29/2020
Hyperspectral Image Super-resolution via Deep Spatio-spectral Convolutional Neural Networks
Hyperspectral images are of crucial importance in order to better unders...
research
∙
05/18/2020
Fast second-order implicit difference schemes for time distributed-order and Riesz space fractional diffusion-wave equations
In this paper, fast numerical methods are established for solving a clas...
research
∙
05/14/2020
Tensor completion via nonconvex tensor ring rank minimization with guaranteed convergence
In recent studies, the tensor ring (TR) rank has shown high effectivenes...
research
∙
04/29/2020
Tensor train rank minimization with nonlocal self-similarity for tensor completion
The tensor train (TT) rank has received increasing attention in tensor c...
research
∙
09/16/2019
A fast implicit difference scheme for solving the generalized time-space fractional diffusion equations with variable coefficients
In this paper, we first propose an unconditionally stable implicit diffe...
research
∙
09/16/2019
Framelet Representation of Tensor Nuclear Norm for Third-Order Tensor Completion
The main aim of this paper is to develop a framelet representation of th...
research
∙
07/28/2019
A note on Dodgson's determinant condensation algorithm
Recently, the Dodgson's determinant condensation algorithm was revisited...
research
∙
12/03/2018
Tensor N-tubal rank and its convex relaxation for low-rank tensor recovery
As low-rank modeling has achieved great success in tensor recovery, many...
research
∙
08/26/2018
Rain Streak Removal for Single Image via Kernel Guided CNN
Rain streak removal is an important issue and has recently been investig...
research
∙
03/20/2018
FastDeRain: A Novel Video Rain Streak Removal Method Using Directional Gradient Priors
Rain streak removal is an important issue in outdoor vision systems and ...
research
∙
12/15/2017
A novel nonconvex approach to recover the low-tubal-rank tensor data: when t-SVD meets PSSV
In this paper we fix attention on a recently developed tensor decomposit...
research
∙
03/12/2015
Single image super-resolution by approximated Heaviside functions
Image super-resolution is a process to enhance image resolution. It is w...
research
∙
12/24/2013
New explicit thresholding/shrinkage formulas for one class of regularization problems with overlapping group sparsity and their applications
The least-square regression problems or inverse problems have been widel...
research
∙
12/21/2013
Total variation with overlapping group sparsity for image deblurring under impulse noise
The total variation (TV) regularization method is an effective method fo...
research
∙
10/13/2013
