Tai-Xiang Jiang

Orcid: 0000-0002-9099-4154

According to our database1, Tai-Xiang Jiang authored at least 53 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A guidable nonlocal low-rank approximation model for hyperspectral image denoising.
Signal Process., February, 2024

Unsupervised video rain streaks removal with deep foreground-background modeling.
J. Comput. Appl. Math., January, 2024

Superpixel-Oriented Thick Cloud Removal Method for Multitemporal Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2024

2023
Tangent Space Based Alternating Projections for Nonnegative Low Rank Matrix Approximation.
IEEE Trans. Knowl. Data Eng., November, 2023

Dictionary Learning With Low-Rank Coding Coefficients for Tensor Completion.
IEEE Trans. Neural Networks Learn. Syst., February, 2023

Essential tensor learning for multimodal information-driven stock movement prediction.
Knowl. Based Syst., February, 2023

GuidedNet: A General CNN Fusion Framework via High-Resolution Guidance for Hyperspectral Image Super-Resolution.
IEEE Trans. Cybern., 2023

SelfS2: Self-Supervised Transfer Learning for Sentinel-2 Multispectral Image Super-Resolution.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Nonnegative low rank tensor approximations with multidimensional image applications.
Numerische Mathematik, 2023

Implicit Neural Feature Fusion Function for Multispectral and Hyperspectral Image Fusion.
CoRR, 2023

2022
Hyperspectral Image Super-Resolution via Deep Spatiospectral Attention Convolutional Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2022

Tensor Completion via Complementary Global, Local, and Nonlocal Priors.
IEEE Trans. Image Process., 2022

Self-Supervised Nonlinear Transform-Based Tensor Nuclear Norm for Multi-Dimensional Image Recovery.
IEEE Trans. Image Process., 2022

Adaptive Hyperspectral Mixed Noise Removal.
IEEE Trans. Geosci. Remote. Sens., 2022

Multiscale Feature Tensor Train Rank Minimization for Multidimensional Image Recovery.
IEEE Trans. Cybern., 2022

UConNet: Unsupervised Controllable Network for Image and Video Deraining.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Degradation Accordant Plug-and-Play for Low-Rank Tensor Completion.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

LAGConv: Local-Context Adaptive Convolution Kernels with Global Harmonic Bias for Pansharpening.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Rain Streaks Removal for Single Image via Kernel-Guided Convolutional Neural Network.
IEEE Trans. Neural Networks Learn. Syst., 2021

Multi-Dimensional Visual Data Completion via Low-Rank Tensor Representation Under Coupled Transform.
IEEE Trans. Image Process., 2021

A Tensor Subspace Representation-Based Method for Hyperspectral Image Denoising.
IEEE Trans. Geosci. Remote. Sens., 2021

Tensor Completion Via Collaborative Sparse and Low-Rank Transforms.
IEEE Trans. Computational Imaging, 2021

Hyperspectral Mixed Noise Removal via Spatial-Spectral Constrained Unsupervised Deep Image Prior.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Reconciling Hand-Crafted and Self-Supervised Deep Priors for Video Directional Rain Streaks Removal.
IEEE Signal Process. Lett., 2021

An approximation method of CP rank for third-order tensor completion.
Numerische Mathematik, 2021

LAConv: Local Adaptive Convolution for Image Fusion.
CoRR, 2021

A novel non-convex low-rank tensor approximation model for hyperspectral image restoration.
Appl. Math. Comput., 2021

Hyperspectral Denoising Via Global Tensor Ring Decomposition and Local Unsupervised Deep Image Prior.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

A Blind Cloud/Shadow Removal Strategy for Multi-Temporal Remote Sensing Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Fully-Connected Tensor Network Decomposition and Its Application to Higher-Order Tensor Completion.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Framelet Representation of Tensor Nuclear Norm for Third-Order Tensor Completion.
IEEE Trans. Image Process., 2020

Mixed Noise Removal in Hyperspectral Image via Low-Fibered-Rank Regularization.
IEEE Trans. Geosci. Remote. Sens., 2020

Multi-dimensional imaging data recovery via minimizing the partial sum of tubal nuclear norm.
J. Comput. Appl. Math., 2020

Tensor <i>N</i>-tubal rank and its convex relaxation for low-rank tensor recovery.
Inf. Sci., 2020

Fast algorithm with theoretical guarantees for constrained low-tubal-rank tensor recovery in hyperspectral images denoising.
Neurocomputing, 2020

Deep plug-and-play prior for low-rank tensor completion.
Neurocomputing, 2020

Unsupervised Hyperspectral Mixed Noise Removal Via Spatial-Spectral Constrained Deep Image Prior.
CoRR, 2020

Nonnegative Low Rank Tensor Approximation and its Application to Multi-dimensional Images.
CoRR, 2020

Hyperspectral Image Super-resolution via Deep Spatio-spectral Convolutional Neural Networks.
CoRR, 2020

2019
FastDeRain: A Novel Video Rain Streak Removal Method Using Directional Gradient Priors.
IEEE Trans. Image Process., 2019

A total variation and group sparsity based tensor optimization model for video rain streak removal.
Signal Process. Image Commun., 2019

Low-rank tensor completion via combined non-local self-similarity and low-rank regularization.
Neurocomputing, 2019

Hyperspectral Image Denoising Via Convex Low-Fibered-Rank Regularization.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Constrained Low-Tubal-Rank Tensor Recovery for Hyperspectral Images Mixed Noise Removal by Bilateral Random Projections.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Rain Streaks Removal for Single Image Via Directional Total Variation Regularization.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
Matrix factorization for low-rank tensor completion using framelet prior.
Inf. Sci., 2018

Tensor N-tubal rank and its convex relaxation for low-rank tensor recovery.
CoRR, 2018

Rain Streak Removal for Single Image via Kernel Guided CNN.
CoRR, 2018

Adaptive Hyperspectral Mixed Noise Removal.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
A novel nonconvex approach to recover the low-tubal-rank tensor data: when t-SVD meets PSSV.
CoRR, 2017

Patch-Based Principal Component Analysis for Face Recognition.
Comput. Intell. Neurosci., 2017

A Novel Tensor-Based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017


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