Tai-Xiang Jiang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 62

Top Topics

Convolutional Neural Network

Top Venues

IEEE Trans. Image Process.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Qin Jiang, Xi-Le Zhao, Jie Lin, Jinghua Yang, Jiangtao Peng, Tai-Xiang Jiang
Superpixel-Oriented Thick Cloud Removal Method for Multitemporal Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 21 (2024)
Jian-Li Wang, Ting-Zhu Huang, Xi-Le Zhao, Yi-Si Luo, Tai-Xiang Jiang
CoNoT: Coupled Nonlinear Transform-Based Low-Rank Tensor Representation for Multidimensional Image Completion. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
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 (2024)
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 (2024)
Liqiao Yang, Jifei Miao, Tai-Xiang Jiang, Yanlin Zhang, Kit Ian Kou
Randomized Quaternion UTV Decomposition and Randomized Quaternion Tensor UTV Decomposition. CoRR (2024)
Jun Wang, Yexun Hu, Tai-Xiang Jiang, Jinghua Tan, Qing Li
Essential tensor learning for multimodal information-driven stock movement prediction. Knowl. Based Syst. 262 (2023)
Tai-Xiang Jiang, Xi-Le Zhao, Hao Zhang, Michael K. Ng
Dictionary Learning With Low-Rank Coding Coefficients for Tensor Completion. IEEE Trans. Neural Networks Learn. Syst. 34 (2) (2023)
Guang-Jing Song, Michael K. Ng, Tai-Xiang Jiang
Tangent Space Based Alternating Projections for Nonnegative Low Rank Matrix Approximation. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Ran Ran, Liang-Jian Deng, Tai-Xiang Jiang, Jin-Fan Hu, Jocelyn Chanussot, Gemine Vivone
GuidedNet: A General CNN Fusion Framework via High-Resolution Guidance for Hyperspectral Image Super-Resolution. IEEE Trans. Cybern. 53 (7) (2023)
Tai-Xiang Jiang, Michael K. P. Ng, Junjun Pan, Guang-Jing Song
Nonnegative low rank tensor approximations with multidimensional image applications. Numerische Mathematik 153 (1) (2023)
Xiao Qian, Tai-Xiang Jiang, Xi-Le Zhao
SelfS2: Self-Supervised Transfer Learning for Sentinel-2 Multispectral Image Super-Resolution. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16 (2023)
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 (2023)
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)
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)
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)
Jin-Fan Hu, Ting-Zhu Huang, Liang-Jian Deng, Tai-Xiang Jiang, Gemine Vivone, Jocelyn Chanussot
Hyperspectral Image Super-Resolution via Deep Spatiospectral Attention Convolutional Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Hao Zhang, Xi-Le Zhao, Tai-Xiang Jiang, Michael K. Ng, Ting-Zhu Huang
Multiscale Feature Tensor Train Rank Minimization for Multidimensional Image Recovery. IEEE Trans. Cybern. 52 (12) (2022)
Tai-Xiang Jiang, Lina Zhuang, Ting-Zhu Huang, Xi-Le Zhao, José M. Bioucas-Dias
Adaptive Hyperspectral Mixed Noise Removal. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
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. IEEE Trans. Image Process. 31 (2022)
Yexun Hu, Tai-Xiang Jiang, Xi-Le Zhao
Degradation Accordant Plug-and-Play for Low-Rank Tensor Completion. IJCAI (2022)
Xi-Le Zhao, Jing-Hua Yang, Tian-Hui Ma, Tai-Xiang Jiang, Michael K. Ng, Ting-Zhu Huang
Tensor Completion via Complementary Global, Local, and Nonlocal Priors. IEEE Trans. Image Process. 31 (2022)
Ben-Zheng Li, Xi-Le Zhao, Jian-Li Wang, Yong Chen, Tai-Xiang Jiang, Jun Liu
Tensor Completion Via Collaborative Sparse and Low-Rank Transforms. IEEE Trans. Computational Imaging 7 (2021)
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)
Jie Lin, Ting-Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang, Lina Zhuang
A Tensor Subspace Representation-Based Method for Hyperspectral Image Denoising. IEEE Trans. Geosci. Remote. Sens. 59 (9) (2021)
Jian-Li Wang, Ting-Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang, Michael K. Ng
Multi-Dimensional Visual Data Completion via Low-Rank Tensor Representation Under Coupled Transform. IEEE Trans. Image Process. 30 (2021)
Jie Lin, Ting-Zhu Huang, Xi-Le Zhao, Tian-Hui Ma, Tai-Xiang Jiang, Yu-Bang Zheng
A novel non-convex low-rank tensor approximation model for hyperspectral image restoration. Appl. Math. Comput. 408 (2021)
Yi-Si Luo, Xi-Le Zhao, Tai-Xiang Jiang, Yu-Bang Zheng, Yi Chang
Hyperspectral Mixed Noise Removal via Spatial-Spectral Constrained Unsupervised Deep Image Prior. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14 (2021)
Jie Lin, Ting-Zhu Huang, Xi-Le Zhao, Meng Ding, Yong Chen, Tai-Xiang Jiang
A Blind Cloud/Shadow Removal Strategy for Multi-Temporal Remote Sensing Images. IGARSS (2021)
Jun-Hao Zhuang, Yi-Si Luo, Xi-Le Zhao, Tai-Xiang Jiang
Reconciling Hand-Crafted and Self-Supervised Deep Priors for Video Directional Rain Streaks Removal. IEEE Signal Process. Lett. 28 (2021)
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)
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 (2021)
Zi-Rong Jin, Liang-Jian Deng, Tai-Xiang Jiang, Tian-Jing Zhang
LAConv: Local Adaptive Convolution for Image Fusion. CoRR (2021)
Chao Zeng, Tai-Xiang Jiang, Michael K. Ng
An approximation method of CP rank for third-order tensor completion. Numerische Mathematik 147 (3) (2021)
Ye-Tao Wang, Xi-Le Zhao, Tai-Xiang Jiang, Liang-Jian Deng, Yi Chang, Ting-Zhu Huang
Rain Streaks Removal for Single Image via Kernel-Guided Convolutional Neural Network. IEEE Trans. Neural Networks Learn. Syst. 32 (8) (2021)
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 (2020)
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 (2020)
Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng
Multi-dimensional imaging data recovery via minimizing the partial sum of tubal nuclear norm. J. Comput. Appl. Math. 372 (2020)
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 (2020)
Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang, Tian-Hui Ma, Teng-Yu Ji
Mixed Noise Removal in Hyperspectral Image via Low-Fibered-Rank Regularization. IEEE Trans. Geosci. Remote. Sens. 58 (1) (2020)
Tai-Xiang Jiang, Michael K. Ng, Junjun Pan, Guang-Jing Song
Nonnegative Low Rank Tensor Approximation and its Application to Multi-dimensional Images. CoRR (2020)
Tai-Xiang Jiang, Michael K. Ng, Xi-Le Zhao, Ting-Zhu Huang
Framelet Representation of Tensor Nuclear Norm for Third-Order Tensor Completion. IEEE Trans. Image Process. 29 (2020)
Guang-Jing Song, Michael K. Ng, Tai-Xiang Jiang
Tangent Space Based Alternating Projections for Nonnegative Low Rank Matrix Approximation. CoRR (2020)
Xi-Le Zhao, Wen-Hao Xu, Tai-Xiang Jiang, Yao Wang, Michael K. Ng
Deep plug-and-play prior for low-rank tensor completion. Neurocomputing 400 (2020)
Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang, Teng-Yu Ji, Tian-Hui Ma
-tubal rank and its convex relaxation for low-rank tensor recovery. Inf. Sci. 532 (2020)
Tai-Xiang Jiang, Xi-Le Zhao, Hao Zhang, Michael K. Ng
Dictionary Learning with Low-rank Coding Coefficients for Tensor Completion. CoRR (2020)
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)
Xiao-Tong Li, Xi-Le Zhao, Tai-Xiang Jiang, Yu-Bang Zheng, Teng-Yu Ji, Ting-Zhu Huang
Low-rank tensor completion via combined non-local self-similarity and low-rank regularization. Neurocomputing 367 (2019)
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 (2019)
Tai-Xiang Jiang, Michael K. Ng, Xi-Le Zhao, Ting-Zhu Huang
Framelet Representation of Tensor Nuclear Norm for Third-Order Tensor Completion. CoRR (2019)
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. IEEE Trans. Image Process. 28 (4) (2019)
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 (2019)
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)
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)
Ye-Tao Wang, Xi-Le Zhao, Tai-Xiang Jiang, Liang-Jian Deng, Tian-Hui Ma, Yue-Tian Zhang, Ting-Zhu Huang
A total variation and group sparsity based tensor optimization model for video rain streak removal. Signal Process. Image Commun. 73 (2019)
Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Teng-Yu Ji, Liang-Jian Deng
Matrix factorization for low-rank tensor completion using framelet prior. Inf. Sci. (2018)
Tai-Xiang Jiang, Lina Zhuang, Ting-Zhu Huang, José M. Bioucas-Dias
Adaptive Hyperspectral Mixed Noise Removal. IGARSS (2018)
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 (2018)
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 (2018)
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 (2018)
Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Tian-Hui Ma
Patch-Based Principal Component Analysis for Face Recognition. Comput. Intell. Neurosci. 2017 (2017)
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)
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 (2017)