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2020 – today
- 2025
[j75]Cheng-Wei Sun
, Ting-Zhu Huang, Hong-Xia Dou, Ting Xu, Liang-Jian Deng:
A fast Lanczos-based hierarchical algorithm for tensor ring decomposition. Signal Process. 227: 109705 (2025)- 2024
- [j74]Wu Wang, Liang-Jian Deng, Ran Ran, Gemine Vivone:
A General Paradigm with Detail-Preserving Conditional Invertible Network for Image Fusion. Int. J. Comput. Vis. 132(4): 1029-1054 (2024) - [j73]Qi Cao, Liang-Jian Deng, Wu Wang, Junming Hou, Gemine Vivone:
Zero-shot semi-supervised learning for pansharpening. Inf. Fusion 101: 102001 (2024) - [j72]Zihan Cao, Shiqi Cao, Liang-Jian Deng, Xiao Wu, Junming Hou, Gemine Vivone:
Diffusion model with disentangled modulations for sharpening multispectral and hyperspectral images. Inf. Fusion 104: 102158 (2024) - [j71]Zhong-Cheng Wu, Gemine Vivone, Ting-Zhu Huang, Liang-Jian Deng:
Pansharpening via semi-framelet-guided sparse reconstruction. Inf. Fusion 106: 102297 (2024) - [j70]Wu Wang, Liang-Jian Deng, Gemine Vivone:
A general image fusion framework using multi-task semi-supervised learning. Inf. Fusion 108: 102414 (2024) - [j69]Haoyu Deng, Rui-Jie Zhu, Xuerui Qiu, Yule Duan, Malu Zhang, Liang-Jian Deng:
Tensor decomposition based attention module for spiking neural networks. Knowl. Based Syst. 295: 111780 (2024) - [j68]Hong-Xia Dou, Miao-Miao Zhang, Rui Wen, Yong Chen, Jun Liu, Liang-Jian Deng:
Remote Sensing Image Destriping by an ℓ₀-Based Nonconvex Model With Overlapping Group Sparse Hyper-Laplacian Prior. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j67]Xiaoya Lu, Yu-Wei Zhuo, Hongming Chen, Liang-Jian Deng, Junming Hou:
SSCAConv: Self-Guided Spatial-Channel Adaptive Convolution for Image Fusion. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j66]Wenjie Shu, Hong-Xia Dou, Rui Wen, Xiao Wu, Liang-Jian Deng:
CMT: Cross Modulation Transformer With Hybrid Loss for Pansharpening. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j65]Chuan-Sheng Yang, Chao Zhang, Haozhen Shen, Tong Peng, Chao Wang, Liang-Jian Deng, Hongming Chen, Liangtian He:
HFAN: High-Frequency Attention Network for hyperspectral image denoising. Int. J. Mach. Learn. Cybern. 15(3): 837-851 (2024) - [j64]Liangtian He, Shaobing Gao, Liang-Jian Deng, Yilun Wang, Chao Wang:
Denoiser-guided image deconvolution with arbitrary boundaries and incomplete observations. Signal Process. 214: 109226 (2024) - [j63]Qinghua Zhang, Liangtian He, Yilun Wang, Liang-Jian Deng, Jun Liu:
Quaternion weighted Schatten p-norm minimization for color image restoration with convergence guarantee. Signal Process. 218: 109382 (2024) - [j62]Xinyang Liu, Junming Hou, Xiaofeng Cong, Hao Shen, Zhuochen Lou, Liang-Jian Deng, Jian Wei You:
Rethinking Pan-Sharpening via Spectral-Band Modulation. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j61]Zhong-Cheng Wu, Ya-Jun Li, Ting-Zhu Huang, Liang-Jian Deng, Gemine Vivone:
CroDoSR: Tensor Cross-Domain Rank for Hyperspectral Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j60]Ting Xu, Ting-Zhu Huang, Liang-Jian Deng, Jin-Liang Xiao, Clifford Broni-Bediako, Junshi Xia, Naoto Yokoya:
A Coupled Tensor Double-Factor Method for Hyperspectral and Multispectral Image Fusion. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [j59]Ran Ran, Liang-Jian Deng, Tian-Jing Zhang, Jianlong Chang, Xiao Wu, Qi Tian:
KNLConv: Kernel-Space Non-Local Convolution for Hyperspectral Image Super-Resolution. IEEE Trans. Multim. 26: 8836-8848 (2024) - [j58]Minyu Feng, Bin Pi, Liang-Jian Deng, Jürgen Kurths:
An Evolutionary Game With the Game Transitions Based on the Markov Process. IEEE Trans. Syst. Man Cybern. Syst. 54(1): 609-621 (2024) - [c32]Xuerui Qiu, Rui-Jie Zhu, Yuhong Chou, Zhaorui Wang, Liang-Jian Deng, Guoqi Li:
Gated Attention Coding for Training High-Performance and Efficient Spiking Neural Networks. AAAI 2024: 601-610 - [c31]Yule Duan, Xiao Wu, Haoyu Deng, Liang-Jian Deng:
Content-Adaptive Non-Local Convolution for Remote Sensing Pansharpening. CVPR 2024: 27738-27747 - [c30]Haoyu Deng, Zijing Xu, Yule Duan, Xiao Wu, Wenjie Shu, Liang-Jian Deng:
Exploring the Low-Pass Filtering Behavior in Image Super-Resolution. ICML 2024 - [c29]Jin-Liang Xiao, Ting-Zhu Huang, Liang-Jian Deng, Ting Xu:
A Novel Fidelity Based on the Adaptive Domain for Pansharpening. IGARSS 2024: 1086-1090 - [i26]Wenjie Shu, Hong-Xia Dou, Rui Wen, Xiao Wu, Liang-Jian Deng:
CMT: Cross Modulation Transformer with Hybrid Loss for Pansharpening. CoRR abs/2404.01121 (2024) - [i25]Yule Duan, Xiao Wu, Haoyu Deng, Liang-Jian Deng:
Content-Adaptive Non-Local Convolution for Remote Sensing Pansharpening. CoRR abs/2404.07543 (2024) - [i24]Siran Peng, Xiangyu Zhu, Haoyu Deng, Zhen Lei, Liang-Jian Deng:
FusionMamba: Efficient Image Fusion with State Space Model. CoRR abs/2404.07932 (2024) - [i23]Zihan Cao, Xiao Wu, Liang-Jian Deng, Yu Zhong:
A Novel State Space Model with Local Enhancement and State Sharing for Image Fusion. CoRR abs/2404.09293 (2024) - [i22]Zihan Cao, Xiao Wu, Liang-Jian Deng:
Neural Shr\"odinger Bridge Matching for Pansharpening. CoRR abs/2404.11416 (2024) - [i21]Yu Zhong, Xiao Wu, Liang-Jian Deng, Zihan Cao:
SSDiff: Spatial-spectral Integrated Diffusion Model for Remote Sensing Pansharpening. CoRR abs/2404.11537 (2024) - [i20]Yu-Jie Liang, Zihan Cao, Liang-Jian Deng, Xiao Wu:
Fourier-enhanced Implicit Neural Fusion Network for Multispectral and Hyperspectral Image Fusion. CoRR abs/2404.15174 (2024) - [i19]Haoyu Deng, Zijing Xu, Yule Duan, Xiao Wu, Wenjie Shu, Liang-Jian Deng:
Exploring the Low-Pass Filtering Behavior in Image Super-Resolution. CoRR abs/2405.07919 (2024) - [i18]Bin Pi, Minyu Feng, Liang-Jian Deng:
A memory-based spatial evolutionary game with the dynamic interaction between learners and profiteers. CoRR abs/2406.00662 (2024) - [i17]RuoCheng Wu, ZiEn Zhang, Shangqi Deng, Yule Duan, Liang-Jian Deng:
PanAdapter: Two-Stage Fine-Tuning with Spatial-Spectral Priors Injecting for Pansharpening. CoRR abs/2409.06980 (2024) - 2023
- [j57]Minyu Feng, Liang-Jian Deng, Feng Chen:
Signal and Information Processing in Networks. Entropy 25(12): 1643 (2023) - [j56]Hong-Xia Dou, Zhong-Cheng Wu, Yu-Wei Zhuo, Liang-Jian Deng, Gemine Vivone:
Dynamical Fusion Model With Joint Variational and Deep Priors for Hyperspectral Image Super-Resolution. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j55]Haozhen Shen, Chao Wang, Liang-Jian Deng, Liangtian He, Xiaoping Lu, Mingwen Shao, Deyu Meng:
FDDN: frequency-guided network for single image dehazing. Neural Comput. Appl. 35(25): 18309-18324 (2023) - [j54]Wenrui Li, Zhengyu Ma, Liang-Jian Deng, Xiaopeng Fan, Yonghong Tian:
Neuron-Based Spiking Transmission and Reasoning Network for Robust Image-Text Retrieval. IEEE Trans. Circuits Syst. Video Technol. 33(7): 3516-3528 (2023) - [j53]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): 4148-4161 (2023) - [j52]Shang-Qi Deng, Liang-Jian Deng, Xiao Wu, Ran Ran, Danfeng Hong, Gemine Vivone:
PSRT: Pyramid Shuffle-and-Reshuffle Transformer for Multispectral and Hyperspectral Image Fusion. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j51]Jun-Da Wang, Liang-Jian Deng, Chen-Yu Zhao, Xiao Wu, Hongming Chen, Gemine Vivone:
Cascadic Multireceptive Learning for Multispectral Pansharpening. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j50]Rui Wen, Liang-Jian Deng, Zhong-Cheng Wu, Xiao Wu, Gemine Vivone:
A Novel Spatial Fidelity With Learnable Nonlinear Mapping for Panchromatic Sharpening. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j49]Jin-Liang Xiao, Ting-Zhu Huang, Liang-Jian Deng, Zhong-Cheng Wu, Xiao Wu, Gemine Vivone:
Variational Pansharpening Based on Coefficient Estimation With Nonlocal Regression. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j48]Chunyu Zhu, Shangqi Deng, Yingjie Zhou, Liang-Jian Deng, Qiong Wu:
QIS-GAN: A Lightweight Adversarial Network With Quadtree Implicit Sampling for Multispectral and Hyperspectral Image Fusion. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j47]Zhong-Cheng Wu, Ting-Zhu Huang, Liang-Jian Deng, Jie Huang, Jocelyn Chanussot, Gemine Vivone:
LRTCFPan: Low-Rank Tensor Completion Based Framework for Pansharpening. IEEE Trans. Image Process. 32: 1640-1655 (2023) - [j46]Tian-Jiang Zhang, Liang-Jian Deng, Ting-Zhu Huang, Jocelyn Chanussot, Gemine Vivone:
A Triple-Double Convolutional Neural Network for Panchromatic Sharpening. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9088-9101 (2023) - [c28]Wenrui Li, Zhengyu Ma, Liang-Jian Deng, Hengyu Man, Xiaopeng Fan:
Modality-Fusion Spiking Transformer Network for Audio-Visual Zero-Shot Learning. ICME 2023: 426-431 - [c27]Shangqi Deng, Liang-Jian Deng, Xiao Wu, Ran Ran, Rui Wen:
Bidirectional Dilation Transformer for Multispectral and Hyperspectral Image Fusion. IJCAI 2023: 3633-3641 - [c26]Chen-Yu Zhao, Tian-Jing Zhang, Ran Ran, Zhi-Xuan Chen, Liang-Jian Deng:
LGPConv: Learnable Gaussian Perturbation Convolution for Lightweight Pansharpening. IJCAI 2023: 4647-4655 - [c25]Junming Hou, Qi Cao, Ran Ran, Che Liu, Junling Li, Liang-Jian Deng:
Bidomain Modeling Paradigm for Pansharpening. ACM Multimedia 2023: 347-357 - [c24]Siran Peng, Chenhao Guo, Xiao Wu, Liang-Jian Deng:
U2Net: A General Framework with Spatial-Spectral-Integrated Double U-Net for Image Fusion. ACM Multimedia 2023: 3219-3227 - [c23]Wenrui Li, Zhengyu Ma, Liang-Jian Deng, Penghong Wang, Jinqiao Shi, Xiaopeng Fan:
Reservoir Computing Transformer for Image-Text Retrieval. ACM Multimedia 2023: 5605-5613 - [i16]Zihan Cao, Shiqi Cao, Xiao Wu, Junming Hou, Ran Ran, Liang-Jian Deng:
DDRF: Denoising Diffusion Model for Remote Sensing Image Fusion. CoRR abs/2304.04774 (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) - [i14]Qing-Hua Zhang, Liangtian He, Yilun Wang, Liang-Jian Deng, Jun Liu:
A Theoretically Guaranteed Quaternion Weighted Schatten p-norm Minimization Method for Color Image Restoration. CoRR abs/2307.12656 (2023) - [i13]Xuerui Qiu, Rui-Jie Zhu, Yuhong Chou, Zhaorui Wang, Liang-Jian Deng, Guoqi Li:
Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks. CoRR abs/2308.06582 (2023) - [i12]Yupu Yao, Shangqi Deng, Zihan Cao, Harry Zhang, Liang-Jian Deng:
APLA: Additional Perturbation for Latent Noise with Adversarial Training Enables Consistency. CoRR abs/2308.12605 (2023) - [i11]Haoyu Deng, Rui-Jie Zhu, Xuerui Qiu, Yule Duan, Malu Zhang, Liang-Jian Deng:
Tensor Decomposition Based Attention Module for Spiking Neural Networks. CoRR abs/2310.14576 (2023) - 2022
- [j45]Cheng Jin, Liang-Jian Deng, Ting-Zhu Huang, Gemine Vivone:
Laplacian pyramid networks: A new approach for multispectral pansharpening. Inf. Fusion 78: 158-170 (2022) - [j44]Ting Xu, Ting-Zhu Huang, Liang-Jian Deng, Xi-Le Zhao, Jin-Fan Hu:
Exemplar-based image inpainting using adaptive two-stage structure-tensor based priority function and nonlocal filtering. J. Vis. Commun. Image Represent. 83: 103430 (2022) - [j43]Jin-Fan Hu, Ting-Zhu Huang, Liang-Jian Deng, Hong-Xia Dou, Danfeng Hong, Gemine Vivone:
Fusformer: A Transformer-Based Fusion Network for Hyperspectral Image Super-Resolution. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j42]Zi-Rong Jin, Yu-Wei Zhuo, Tian-Jing Zhang, Xiao-Xu Jin, Shuaiqi Jing, Liang-Jian Deng:
Remote Sensing Pansharpening by Full-Depth Feature Fusion. Remote. Sens. 14(3): 466 (2022) - [j41]Hong-Xia Dou, Xiao-Miao Pan, Chao Wang, Hao-Zhen Shen, Liang-Jian Deng:
Spatial and Spectral-Channel Attention Network for Denoising on Hyperspectral Remote Sensing Image. Remote. Sens. 14(14): 3338 (2022) - [j40]Hong-Xia Dou, Xing-Shun Lu, Chao Wang, Hao-Zhen Shen, Yu-Wei Zhuo, Liang-Jian Deng:
PatchMask: A Data Augmentation Strategy with Gaussian Noise in Hyperspectral Images. Remote. Sens. 14(24): 6308 (2022) - [j39]Tian-Jing Zhang, Liang-Jian Deng, Zhong-Cheng Wu, Chao-Chao Zheng:
An iterative approach for image fusion with dynamic gradient sparsity and anisotropic spectral-spatial total variation. Signal Image Video Process. 16(6): 1515-1523 (2022) - [j38]Yu-Wei Zhuo, Tian-Jing Zhang, Jin-Fan Hu, Hong-Xia Dou, Ting-Zhu Huang, Liang-Jian Deng:
A Deep-Shallow Fusion Network With Multidetail Extractor and Spectral Attention for Hyperspectral Pansharpening. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 7539-7555 (2022) - [j37]Zhong-Cheng Wu, Ting-Zhu Huang, Liang-Jian Deng, Jin-Fan Hu, Gemine Vivone:
VO+Net: An Adaptive Approach Using Variational Optimization and Deep Learning for Panchromatic Sharpening. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j36]Jin-Liang Xiao, Ting-Zhu Huang, Liang-Jian Deng, Zhong-Cheng Wu, Gemine Vivone:
A New Context-Aware Details Injection Fidelity With Adaptive Coefficients Estimation for Variational Pansharpening. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j35]Ting Xu, Ting-Zhu Huang, Liang-Jian Deng, Naoto Yokoya:
An Iterative Regularization Method Based on Tensor Subspace Representation for Hyperspectral Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j34]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): 7251-7265 (2022) - [c22]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 - [c21]Liang-Jian Deng, Yubing Chen, Lichen Zhang:
Construction Method of Overlay Network for Cyber-Physical System. APNOMS 2022: 1-4 - [c20]Ran Ran, Liang-Jian Deng, Chen-Yu Zhao:
Context-Aware Element Filter for Hyperspectral Image Super-Resolution. IGARSS 2022: 2378-2381 - [c19]Xiao-Nan Zhao, Chen-Yu Zhao, Tian-Jing Zhang, Liang-Jian Deng:
Cross-Frequency Detail Compensation Network for Pansharpening. IGARSS 2022: 3770-3773 - [c18]Zhi-Xuan Chen, Cheng Jin, Tian-Jing Zhang, Xiao Wu, Liang-Jian Deng:
SpanConv: A New Convolution via Spanning Kernel Space for Lightweight Pansharpening. IJCAI 2022: 841-847 - [c17]Siran Peng, Liang-Jian Deng, Jin-Fan Hu, Yu-Wei Zhuo:
Source-Adaptive Discriminative Kernels based Network for Remote Sensing Pansharpening. IJCAI 2022: 1283-1289 - [c16]Xiao Wu, Ting-Zhu Huang, Liang-Jian Deng, Tian-Jing Zhang:
A Decoder-free Transformer-like Architecture for High-efficiency Single Image Deraining. IJCAI 2022: 1474-1480 - [c15]Zhong-Cheng Wu, Ting-Zhu Huang, Liang-Jian Deng, Hong-Xia Dou, Deyu Meng:
Tensor Wheel Decomposition and Its Tensor Completion Application. NeurIPS 2022 - [i10]Cheng Jin, Rui-Jie Zhu, Xiao Wu, Liang-Jian Deng:
SIT: A Bionic and Non-Linear Neuron for Spiking Neural Network. CoRR abs/2203.16117 (2022) - [i9]Rui-Jie Zhu, Qihang Zhao, Tianjing Zhang, Haoyu Deng, Yule Duan, Malu Zhang, Liang-Jian Deng:
TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks. CoRR abs/2206.10177 (2022) - 2021
- [j33]Jin-Ju Wang, Ting-Zhu Huang, Jie Huang, Liang-Jian Deng:
A two-step iterative algorithm for sparse hyperspectral unmixing via total variation. Appl. Math. Comput. 401: 126059 (2021) - [j32]Xue-Cheng Tai, Liang-Jian Deng, Ke Yin:
A Multigrid Algorithm for Maxflow and Min-Cut Problems with Applications to Multiphase Image Segmentation. J. Sci. Comput. 87(3): 101 (2021) - [j31]Jin-Ju Wang, Ding-Cheng Wang, Ting-Zhu Huang, Jie Huang, Xi-Le Zhao, Liang-Jian Deng:
Endmember independence constrained hyperspectral unmixing via nonnegative tensor factorization. Knowl. Based Syst. 216: 106657 (2021) - [j30]Chao Wang, Hao-Zhen Shen, Fan Fan, Ming-Wen Shao, Chuan-Sheng Yang, Jiancheng Luo, Liang-Jian Deng:
EAA-Net: A novel edge assisted attention network for single image dehazing. Knowl. Based Syst. 228: 107279 (2021) - [j29]Xin Li, Ting-Zhu Huang, Xi-Le Zhao, Teng-Yu Ji, Yu-Bang Zheng, Liang-Jian Deng:
Adaptive total variation and second-order total variation-based model for low-rank tensor completion. Numer. Algorithms 86(1): 1-24 (2021) - [j28]Hong-Xia Dou, Liang-Jian Deng:
A Proximal Algorithm with Convergence Guarantee for a Nonconvex Minimization Problem Based on Reproducing Kernel Hilbert Space. Symmetry 13(12): 2393 (2021) - [j27]Jie Huang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng:
Nonlocal Tensor-Based Sparse Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 59(8): 6854-6868 (2021) - [j26]Liang-Jian Deng, Gemine Vivone, Cheng Jin, Jocelyn Chanussot:
Detail Injection-Based Deep Convolutional Neural Networks for Pansharpening. IEEE Trans. Geosci. Remote. Sens. 59(8): 6995-7010 (2021) - [j25]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): 3664-3676 (2021) - [c14]Xiao Wu, Ting-Zhu Huang, Liang-Jian Deng, Tian-Jing Zhang:
Dynamic Cross Feature Fusion for Remote Sensing Pansharpening. ICCV 2021: 14667-14676 - [c13]Ting Xu, Ting-Zhu Huang, Yong Chen, Jie Huang, Liang-Jian Deng:
A Variational Approach with Nonlocal Self-Similarity and Joint-Sparsity for Hyperspectral Image Super-Resolution. IGARSS 2021: 2444-2447 - [c12]Zi-Rong Jin, Tian-Jing Zhang, Cheng Jin, Liang-Jian Deng:
Weighted Shallow-Deep Feature Fusion Network for Pansharpening. IGARSS 2021: 2632-2635 - [c11]Shishi Xiao, Cheng Jin, Tian-Jing Zhang, Ran Ran, Liang-Jian Deng:
Progressive Band-Separated Convolutional Neural Network for Multispectral Pansharpening. IGARSS 2021: 4464-4467 - [c10]Zi-Rong Jin, Liang-Jian Deng, Tian-Jing Zhang, Xiao-Xu Jin:
BAM: Bilateral Activation Mechanism for Image Fusion. ACM Multimedia 2021: 4315-4323 - [c9]Yudong Wang, Liang-Jian Deng, Tian-Jing Zhang, Xiao Wu:
SSconv: Explicit Spectral-to-Spatial Convolution for Pansharpening. ACM Multimedia 2021: 4472-4480 - [i8]Zi-Rong Jin, Liang-Jian Deng, Tai-Xiang Jiang, Tian-Jing Zhang:
LAConv: Local Adaptive Convolution for Image Fusion. CoRR abs/2107.11617 (2021) - [i7]Jin-Fan Hu, Ting-Zhu Huang, Liang-Jian Deng:
Fusformer: A Transformer-based Fusion Approach for Hyperspectral Image Super-resolution. CoRR abs/2109.02079 (2021) - [i6]Tian-Jing Zhang, Liang-Jian Deng, Ting-Zhu Huang, Jocelyn Chanussot, Gemine Vivone:
A Triple-Double Convolutional Neural Network for Panchromatic Sharpening. CoRR abs/2112.02237 (2021) - 2020
- [j24]Yugang Wang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng, Teng-Yu Ji:
A convex single image dehazing model via sparse dark channel prior. Appl. Math. Comput. 375: 125085 (2020) - [j23]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: 112680 (2020) - [j22]Ting Xu, Ting-Zhu Huang, Liang-Jian Deng, Xi-Le Zhao, Jie Huang:
Hyperspectral Image Superresolution Using Unidirectional Total Variation With Tucker Decomposition. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 4381-4398 (2020) - [j21]Zhong-Cheng Wu, Ting-Zhu Huang, Liang-Jian Deng, Gemine Vivone, Jiaqing Miao, Jin-Fan Hu, Xi-Le Zhao:
A New Variational Approach Based on Proximal Deep Injection and Gradient Intensity Similarity for Spatio-Spectral Image Fusion. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 6277-6290 (2020) - [i5]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)
2010 – 2019
- 2019
- [j20]Jie Huang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng:
Joint-Sparse-Blocks Regression for Total Variation Regularized Hyperspectral Unmixing. IEEE Access 7: 138779-138791 (2019) - [j19]Liang-Jian Deng, Minyu Feng, Xue-Cheng Tai:
The fusion of panchromatic and multispectral remote sensing images via tensor-based sparse modeling and hyper-Laplacian prior. Inf. Fusion 52: 76-89 (2019) - [j18]Xiao Li, Jie Huang, Liang-Jian Deng, Ting-Zhu Huang:
Bilateral filter based total variation regularization for sparse hyperspectral image unmixing. Inf. Sci. 504: 334-353 (2019) - [j17]Liang-Jian Deng, Roland Glowinski, Xue-Cheng Tai:
A New Operator Splitting Method for the Euler Elastica Model for Image Smoothing. SIAM J. Imaging Sci. 12(2): 1190-1230 (2019) - [j16]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: 96-108 (2019) - [j15]Jin-Ju Wang, Ting-Zhu Huang, Jie Huang, Hong-Xia Dou, Liang-Jian Deng, Xi-Le Zhao:
Row-Sparsity Spectral Unmixing via Total Variation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(12): 5009-5022 (2019) - [j14]Jie Huang, Ting-Zhu Huang, Liang-Jian Deng, Xi-Le Zhao:
Joint-Sparse-Blocks and Low-Rank Representation for Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 57(4): 2419-2438 (2019) - [j13]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): 2089-2102 (2019) - [c8]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 - [c7]Ziyao Zhang, Ting-Zhu Huang, Liang-Jian Deng, Jie Huang, Hong-Xia Dou:
Pan-Sharpening Via RoG-Based Filtering. IGARSS 2019: 2790-2793 - [c6]Hong-Xia Dou, Ting-Zhu Huang, Liang-Jian Deng, Ziyao Zhang:
Unidirectional Sparse Tensor Based Model for the Noise Removal of Remote Sensing Image. IGARSS 2019: 2894-2897 - 2018
- [j12]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. 436-437: 403-417 (2018) - [j11]Yaru Fan, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng, Shanxiong Fan:
Multispectral Image Denoising via Nonlocal Multitask Sparse Learning. Remote. Sens. 10(1): 116 (2018) - [j10]Hong-Xia Dou, Ting-Zhu Huang, Liang-Jian Deng, Xi-Le Zhao, Jie Huang:
Directional ℓ0 Sparse Modeling for Image Stripe Noise Removal. Remote. Sens. 10(3): 361 (2018) - [j9]Ziyao Zhang, Ting-Zhu Huang, Liang-Jian Deng, Jie Huang, Xi-Le Zhao, Chao-Chao Zheng:
A Framelet-Based Iterative Pan-Sharpening Approach. Remote. Sens. 10(4): 622 (2018) - [j8]Liang-Jian Deng, Gemine Vivone, Weihong Guo, Mauro Dalla Mura, Jocelyn Chanussot:
A Variational Pansharpening Approach Based on Reproducible Kernel Hilbert Space and Heaviside Function. IEEE Trans. Image Process. 27(9): 4330-4344 (2018) - [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) - 2017
- [j7]Han Yu, Ting-Zhu Huang, Liang-Jian Deng, Xi-Le Zhao:
Super-resolution via a fast deconvolution with kernel estimation. EURASIP J. Image Video Process. 2017: 3 (2017) - [j6]Yong Chen, Ting-Zhu Huang, Liang-Jian Deng, Xi-Le Zhao, Min Wang:
Group sparsity based regularization model for remote sensing image stripe noise removal. Neurocomputing 267: 95-106 (2017) - [j5]Yong Chen, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng, Jie Huang:
Stripe noise removal of remote sensing images by total variation regularization and group sparsity constraint. Remote. Sens. 9(6): 559 (2017) - [c5]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 - [c4]Liang-Jian Deng, Gemine Vivone, Weihong Guo, Mauro Dalla Mura, Jocelyn Chanussot:
A variational pansharpening approach based on reproducible kernel Hilbert space and heaviside function. ICIP 2017: 535-539 - [c3]Chao-Chao Zheng, Ting-Zhu Huang, Liang-Jian Deng, Xi-Le Zhao, Hong-Xia Dou:
Image fusion via dynamic gradient sparsity and anisotropic spectral-spatial total variation. ICIP 2017: 1452-1456 - [c2]Hong-Xia Dou, Ting-Zhu Huang, Liang-Jian Deng, Yong Chen:
Stripe noise removal of remote sensing image with a directional l0 sparse model. ICIP 2017: 3505-3509 - [i2]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) - 2016
- [j4]Liang-Jian Deng, Weihong Guo, Ting-Zhu Huang:
Single image super-resolution by approximated Heaviside functions. Inf. Sci. 348: 107-123 (2016) - [j3]Liang-Jian Deng, Weihong Guo, Ting-Zhu Huang:
Single-Image Super-Resolution via an Iterative Reproducing Kernel Hilbert Space Method. IEEE Trans. Circuits Syst. Video Technol. 26(11): 2001-2014 (2016) - 2015
- [j2]Liang-Jian Deng, Huiqing Guo, Ting-Zhu Huang:
A fast image recovery algorithm based on splitting deblurring and denoising. J. Comput. Appl. Math. 287: 88-97 (2015) - [c1]Liang-Jian Deng, Weihong Guo, Ting-Zhu Huang, Xi-Le Zhao:
Heaviside image edge sharpening. MMSP 2015: 1-5 - [i1]Liang-Jian Deng, Weihong Guo, Ting-Zhu Huang:
Single image super-resolution by approximated Heaviside functions. CoRR abs/1503.03630 (2015) - 2013
- [j1]Liang Zhao, Ting-Zhu Huang, Yan-Fei Jing, Liang-Jian Deng:
A generalized product-type BiCOR method and its application in signal deconvolution. Comput. Math. Appl. 66(8): 1372-1388 (2013)
Coauthor Index
[j75] [j71] [j61] [j60] [c29] [j49] [j47] [j46] [j45] [j44] [j43] [j38] [j37] [j36] [j35] [j34] [c16] [c15] [j33] [j31] [j29] [j27] [j25] [c14] [c13] [i7] [i6] [j24] [j23] [j22] [j21] [i5] [j20] [j18] [j16] [j15] [j14] [j13] [c8] [c7] [c6] [j12] [j11] [j10] [j9] [i4] [i3] [j7] [j6] [j5] [c5] [c3] [c2] [i2] [j4] [j3] [j2] [c1] [i1] [j1]
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