Tai-Xiang Jiang
Orcid: 0000-0002-9099-4154
According to our database1,
Tai-Xiang Jiang
authored at least 58 papers
between 2017 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Neurocomputing, 2025
2024
CoNoT: Coupled Nonlinear Transform-Based Low-Rank Tensor Representation for Multidimensional Image Completion.
IEEE Trans. Neural Networks Learn. Syst., July, 2024
Signal Process., February, 2024
J. Comput. Appl. Math., January, 2024
Fast Large-Scale Hyperspectral Image Denoising via Noniterative Low-Rank Subspace Representation.
IEEE Trans. Geosci. Remote. Sens., 2024
Superpixel-Oriented Thick Cloud Removal Method for Multitemporal Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2024
Randomized Quaternion UTV Decomposition and Randomized Quaternion Tensor UTV Decomposition.
CoRR, 2024
Sparsity Regularized Rank-(L,M,N) Block Term Decomposition for Hyperspectral Image Mixed Noise Removal.
Proceedings of the IGARSS 2024, 2024
2023
Tangent Space Based Alternating Projections for Nonnegative Low Rank Matrix Approximation.
IEEE Trans. Knowl. Data Eng., November, 2023
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
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
IEEE Trans. Image Process., 2022
Self-Supervised Nonlinear Transform-Based Tensor Nuclear Norm for Multi-Dimensional Image Recovery.
IEEE Trans. Image Process., 2022
Multiscale Feature Tensor Train Rank Minimization for Multidimensional Image Recovery.
IEEE Trans. Cybern., 2022
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
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
IEEE Trans. Geosci. Remote. Sens., 2021
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
Numerische Mathematik, 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
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
IEEE Trans. Image Process., 2020
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
Inf. Sci., 2020
Fast algorithm with theoretical guarantees for constrained low-tubal-rank tensor recovery in hyperspectral images denoising.
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
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
Inf. Sci., 2018
CoRR, 2018
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
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