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Tai-Xiang Jiang
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2020 – today
- 2025
- [j36]Xi-Zhuo Li, Tai-Xiang Jiang, Liqiao Yang, Guisong Liu:
Learning a more compact representation for low-rank tensor completion. Neurocomputing 617: 129036 (2025) - 2024
- [j35]Jun-Hao Zhuang, Yi-Si Luo, Xi-Le Zhao, Tai-Xiang Jiang, Yi Chang, Jun Liu:
Unsupervised video rain streaks removal with deep foreground-background modeling. J. Comput. Appl. Math. 436: 115431 (2024) - [j34]Qin Jiang
, Xi-Le Zhao
Superpixel-Oriented Thick Cloud Removal Method for Multitemporal Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j33]Yong Chen, Juan Zhang, Jinshan Zeng, Wenzhen Lai, Xinfeng Gui, Tai-Xiang Jiang:
A guidable nonlocal low-rank approximation model for hyperspectral image denoising. Signal Process. 215: 109266 (2024) - [j32]Yong Chen
Fast Large-Scale Hyperspectral Image Denoising via Noniterative Low-Rank Subspace Representation. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j31]Jian-Li Wang
CoNoT: Coupled Nonlinear Transform-Based Low-Rank Tensor Representation for Multidimensional Image Completion. IEEE Trans. Neural Networks Learn. Syst. 35(7): 8969-8983 (2024) - [c13]Hao Zhang, Ting-Zhu Huang, Jie Lin, Tai-Xiang Jiang:
Sparsity Regularized Rank-(L,M,N) Block Term Decomposition for Hyperspectral Image Mixed Noise Removal. IGARSS 2024: 7614-7617 - [i16]Liqiao Yang, Jifei Miao, Tai-Xiang Jiang, Yanlin Zhang, Kit Ian Kou:
Randomized Quaternion UTV Decomposition and Randomized Quaternion Tensor UTV Decomposition. CoRR abs/2406.05734 (2024) - 2023
- [j30]Jun Wang, Yexun Hu
Essential tensor learning for multimodal information-driven stock movement prediction. Knowl. Based Syst. 262: 110262 (2023) - [j29]Tai-Xiang Jiang, Michael K. P. Ng, Junjun Pan
Nonnegative low rank tensor approximations with multidimensional image applications. Numerische Mathematik 153(1): 141-170 (2023) - [j28]Xiao Qian
SelfS2: Self-Supervised Transfer Learning for Sentinel-2 Multispectral Image Super-Resolution. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 215-227 (2023) - [j27]Ran Ran
GuidedNet: A General CNN Fusion Framework via High-Resolution Guidance for Hyperspectral Image Super-Resolution. IEEE Trans. Cybern. 53(7): 4148-4161 (2023) - [j26]Guang-Jing Song, Michael K. Ng
Tangent Space Based Alternating Projections for Nonnegative Low Rank Matrix Approximation. IEEE Trans. Knowl. Data Eng. 35(11): 11917-11934 (2023) - [j25]Tai-Xiang Jiang
Dictionary Learning With Low-Rank Coding Coefficients for Tensor Completion. IEEE Trans. Neural Networks Learn. Syst. 34(2): 932-946 (2023) - [i15]Shang-Qi Deng, RuoCheng Wu, Liang-Jian Deng, Ran Ran, Tai-Xiang Jiang:
Implicit Neural Feature Fusion Function for Multispectral and Hyperspectral Image Fusion. CoRR abs/2307.07288 (2023) - 2022
- [j24]Hao Zhang
Multiscale Feature Tensor Train Rank Minimization for Multidimensional Image Recovery. IEEE Trans. Cybern. 52(12): 13395-13410 (2022) - [j23]Tai-Xiang Jiang
Adaptive Hyperspectral Mixed Noise Removal. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j22]Xi-Le Zhao
Tensor Completion via Complementary Global, Local, and Nonlocal Priors. IEEE Trans. Image Process. 31: 984-999 (2022) - [j21]Yi-Si Luo
Self-Supervised Nonlinear Transform-Based Tensor Nuclear Norm for Multi-Dimensional Image Recovery. IEEE Trans. Image Process. 31: 3793-3808 (2022) - [j20]Jin-Fan Hu
Hyperspectral Image Super-Resolution via Deep Spatiospectral Attention Convolutional Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7251-7265 (2022) - [c12]Zi-Rong Jin, Tian-Jing Zhang, Tai-Xiang Jiang, Gemine Vivone, Liang-Jian Deng:
LAGConv: Local-Context Adaptive Convolution Kernels with Global Harmonic Bias for Pansharpening. AAAI 2022: 1113-1121 - [c11]Yi-Si Luo, Xile Zhao, Deyu Meng, Tai-Xiang Jiang:
HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging. CVPR 2022: 19281-19290 - [c10]Yexun Hu, Tai-Xiang Jiang, Xi-Le Zhao:
Degradation Accordant Plug-and-Play for Low-Rank Tensor Completion. IJCAI 2022: 1843-1849 - [c9]Jun-Hao Zhuang, Yi-Si Luo, Xile Zhao, Tai-Xiang Jiang, Bichuan Guo:
UConNet: Unsupervised Controllable Network for Image and Video Deraining. ACM Multimedia 2022: 5436-5445 - 2021
- [j19]Jie Lin
A novel non-convex low-rank tensor approximation model for hyperspectral image restoration. Appl. Math. Comput. 408: 126342 (2021) - [j18]Chao Zeng, Tai-Xiang Jiang, Michael K. Ng:
An approximation method of CP rank for third-order tensor completion. Numerische Mathematik 147(3): 727-757 (2021) - [j17]Jun-Hao Zhuang, Yi-Si Luo
Reconciling Hand-Crafted and Self-Supervised Deep Priors for Video Directional Rain Streaks Removal. IEEE Signal Process. Lett. 28: 2147-2151 (2021) - [j16]Yi-Si Luo, Xi-Le Zhao
Hyperspectral Mixed Noise Removal via Spatial-Spectral Constrained Unsupervised Deep Image Prior. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 9435-9449 (2021) - [j15]Ben-Zheng Li
Tensor Completion Via Collaborative Sparse and Low-Rank Transforms. IEEE Trans. Computational Imaging 7: 1289-1303 (2021) - [j14]Jie Lin
A Tensor Subspace Representation-Based Method for Hyperspectral Image Denoising. IEEE Trans. Geosci. Remote. Sens. 59(9): 7739-7757 (2021) - [j13]Jian-Li Wang
Multi-Dimensional Visual Data Completion via Low-Rank Tensor Representation Under Coupled Transform. IEEE Trans. Image Process. 30: 3581-3596 (2021) - [j12]Ye-Tao Wang, Xi-Le Zhao
Rain Streaks Removal for Single Image via Kernel-Guided Convolutional Neural Network. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3664-3676 (2021) - [c8]Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao, Qibin Zhao, Tai-Xiang Jiang:
Fully-Connected Tensor Network Decomposition and Its Application to Higher-Order Tensor Completion. AAAI 2021: 11071-11078 - [c7]Jian-Li Wang, Ting-Zhu Huang, Xi-Le Zhao, Teng-Yu Ji, Tai-Xiang Jiang:
Hyperspectral Denoising Via Global Tensor Ring Decomposition and Local Unsupervised Deep Image Prior. IGARSS 2021: 4119-4122 - [c6]Jie Lin
A Blind Cloud/Shadow Removal Strategy for Multi-Temporal Remote Sensing Images. IGARSS 2021: 4656-4659 - [i14]Yi-Si Luo, Xi-Le Zhao, Tai-Xiang Jiang, Yi Chang, Michael K. Ng, Chao Li:
Self-Supervised Nonlinear Transform-Based Tensor Nuclear Norm for Multi-Dimensional Image Recovery. CoRR abs/2105.14320 (2021) - [i13]Zi-Rong Jin, Liang-Jian Deng, Tai-Xiang Jiang, Tian-Jing Zhang:
LAConv: Local Adaptive Convolution for Image Fusion. CoRR abs/2107.11617 (2021) - 2020
- [j11]Xi-Le Zhao
Deep plug-and-play prior for low-rank tensor completion. Neurocomputing 400: 137-149 (2020) - [j10]Xi-Le Zhao, Hao Zhang, Tai-Xiang Jiang, Michael K. Ng, Xiongjun Zhang
Fast algorithm with theoretical guarantees for constrained low-tubal-rank tensor recovery in hyperspectral images denoising. Neurocomputing 413: 397-409 (2020) - [j9]Yu-Bang Zheng
Tensor N-tubal rank and its convex relaxation for low-rank tensor recovery. Inf. Sci. 532: 170-189 (2020) - [j8]Tai-Xiang Jiang
Multi-dimensional imaging data recovery via minimizing the partial sum of tubal nuclear norm. J. Comput. Appl. Math. 372: 112680 (2020) - [j7]Yu-Bang Zheng
Mixed Noise Removal in Hyperspectral Image via Low-Fibered-Rank Regularization. IEEE Trans. Geosci. Remote. Sens. 58(1): 734-749 (2020) - [j6]Tai-Xiang Jiang
Framelet Representation of Tensor Nuclear Norm for Third-Order Tensor Completion. IEEE Trans. Image Process. 29: 7233-7244 (2020) - [i12]Jin-Fan Hu, Ting-Zhu Huang, Liang-Jian Deng, Tai-Xiang Jiang, Gemine Vivone, Jocelyn Chanussot:
Hyperspectral Image Super-resolution via Deep Spatio-spectral Convolutional Neural Networks. CoRR abs/2005.14400 (2020) - [i11]Tai-Xiang Jiang, Michael K. Ng, Junjun Pan, Guang-Jing Song:
Nonnegative Low Rank Tensor Approximation and its Application to Multi-dimensional Images. CoRR abs/2007.14137 (2020) - [i10]Yi-Si Luo, Xi-Le Zhao, Tai-Xiang Jiang, Yu-Bang Zheng, Yi Chang:
Unsupervised Hyperspectral Mixed Noise Removal Via Spatial-Spectral Constrained Deep Image Prior. CoRR abs/2008.09753 (2020) - [i9]Guang-Jing Song, Michael K. Ng, Tai-Xiang Jiang:
Tangent Space Based Alternating Projections for Nonnegative Low Rank Matrix Approximation. CoRR abs/2009.03998 (2020) - [i8]Tai-Xiang Jiang, Xi-Le Zhao, Hao Zhang, Michael K. Ng:
Dictionary Learning with Low-rank Coding Coefficients for Tensor Completion. CoRR abs/2009.12507 (2020)
2010 – 2019
- 2019
- [j5]Xiao-Tong Li, Xi-Le Zhao
Low-rank tensor completion via combined non-local self-similarity and low-rank regularization. Neurocomputing 367: 1-12 (2019) - [j4]Ye-Tao Wang, Xi-Le Zhao
A total variation and group sparsity based tensor optimization model for video rain streak removal. Signal Process. Image Commun. 73: 96-108 (2019) - [j3]Tai-Xiang Jiang
FastDeRain: A Novel Video Rain Streak Removal Method Using Directional Gradient Priors. IEEE Trans. Image Process. 28(4): 2089-2102 (2019) - [c5]Yugang Wang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng, Tai-Xiang Jiang:
Rain Streaks Removal for Single Image Via Directional Total Variation Regularization. ICIP 2019: 2801-2805 - [c4]Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang, Jie Huang:
Hyperspectral Image Denoising Via Convex Low-Fibered-Rank Regularization. IGARSS 2019: 222-225 - [c3]Hao Zhang, Xi-Le Zhao, Tai-Xiang Jiang, Michael Kwok-Po Ng:
Constrained Low-Tubal-Rank Tensor Recovery for Hyperspectral Images Mixed Noise Removal by Bilateral Random Projections. IGARSS 2019: 1939-1942 - [i7]Wen-Hao Xu, Xi-Le Zhao, Tai-Xiang Jiang, Yao Wang, Michael K. Ng:
Deep Plug-and-play Prior for Low-rank Tensor Completion. CoRR abs/1905.04449 (2019) - [i6]Hao Zhang, Xi-Le Zhao, Tai-Xiang Jiang, Michael Kwok-Po Ng:
Constrained low-tubal-rank tensor recovery for hyperspectral images mixed noise removal by bilateral random projections. CoRR abs/1905.05941 (2019) - [i5]Tai-Xiang Jiang, Michael K. Ng, Xi-Le Zhao, Ting-Zhu Huang:
Framelet Representation of Tensor Nuclear Norm for Third-Order Tensor Completion. CoRR abs/1909.06982 (2019) - 2018
- [j2]Tai-Xiang Jiang, Ting-Zhu Huang
Matrix factorization for low-rank tensor completion using framelet prior. Inf. Sci. 436-437: 403-417 (2018) - [c2]Tai-Xiang Jiang, Lina Zhuang, Ting-Zhu Huang, José M. Bioucas-Dias:
Adaptive Hyperspectral Mixed Noise Removal. IGARSS 2018: 4035-4038 - [i4]Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng, Yao Wang:
FastDeRain: A Novel Video Rain Streak Removal Method Using Directional Gradient Priors. CoRR abs/1803.07487 (2018) - [i3]Ye-Tao Wang, Xi-Le Zhao, Tai-Xiang Jiang, Liang-Jian Deng, Yi Chang, Ting-Zhu Huang:
Rain Streak Removal for Single Image via Kernel Guided CNN. CoRR abs/1808.08545 (2018) - [i2]Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang, Teng-Yu Ji, Tian-Hui Ma:
Tensor N-tubal rank and its convex relaxation for low-rank tensor recovery. CoRR abs/1812.00688 (2018) - 2017
- [j1]Tai-Xiang Jiang, Ting-Zhu Huang
Patch-Based Principal Component Analysis for Face Recognition. Comput. Intell. Neurosci. 2017: 5317850:1-5317850:9 (2017) - [c1]Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng, Yao Wang:
A Novel Tensor-Based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors. CVPR 2017: 2818-2827 - [i1]Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng:
A novel nonconvex approach to recover the low-tubal-rank tensor data: when t-SVD meets PSSV. CoRR abs/1712.05870 (2017)
Coauthor Index
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