Publications (Selected):
More papers info., please visit: Google Scholar Profile (4000+ citations)
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- A New Operator Splitting Method for the Euler Elastica Model for Image Smoothing
Liang-Jian Deng, Roland Glowinski, Xue-Cheng Tai
SIAM Journal on Imaging Sciences, 12(2):1190-1230, 2019. (Our Lie-Operator splitting algorithm, as an independent paradigm compared to the mainstream ADMM and Primal-Dual algorithms, has successfully and efficiently solved various complex variational optimization models, e.g., L1 mean curvature problem, Gaussian curvature problem, Willmore energy problem, color Elastica model, obstacle problem, etc. )
[PDF]
[Code]
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- A General Paradigm with Detail-Preserving Conditional Invertible
Network for Image Fusion
Wu Wang, Liang-Jian Deng*, Ran Ran, Gemine Vivone
International Journal of Computer Vision, 2024
[PDF]
[BibTeX]
@ARTICLE{wangijcv2024,
title={A General Paradigm with Detail-Preserving Conditional Invertible Network for Image Fusion },
author={ Wu Wang, Liang-Jian Deng, Ran Ran, Gemine Vivone },
journal={ International Journal of Computer Vision},
volume={13},
number={},
pages={1029–1054},
year={2024},
doi={10.1007/s11263-023-01924-5}
}
[Code]
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- Exploring the Low-Pass Filtering Behavior in Image Super-Resolution
Haoyu Deng, Zijing Xu, Yule Duan, Xiao Wu, Wenjie Shu Liang-Jian Deng*
International Conference on Machine Learning (ICML), 2024
[PDF]
[BibTeX]
@article{deng2024exploring,
title={Exploring the Low-Pass Filtering Behavior in Image Super-Resolution},
author={Deng, Haoyu and Xu, Zijing and Duan, Yule and Wu, Xiao and Shu, Wenjie and Deng, Liang-Jian},
journal={International Conference on Machine Learning (ICML)},
year={2024}
}
[Code]
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- Fourier-enhanced Implicit Neural Fusion Network for Multispectral and Hyperspectral Image Fusion
Yu-Jie Liang, Zihan Cao, Shangqi Deng, Hong-Xia Dou,Liang-Jian Deng*
Annual Conference on Neural Information Processing Systems (NeurIPS), 2024
[PDF]
[BibTeX]
@ARTICLE{liangnips2024,
title={Fourier-enhanced Implicit Neural Fusion Network for Multispectral and Hyperspectral Image Fusion},
author={Yu-Jie Liang, Zihan Cao, Shangqi Deng, Hong-Xia Dou,Liang-Jian Deng},
year={2024},
journal={Annual Conference on Neural Information Processing Systems (NeurIPS)},
doi={}
}
[Code]
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- SSDiff: Spatial-spectral Integrated Diffusion Model for Remote Sensing Pansharpening
Yuzhong#, XiaoWu#, Zihan Cao, Hong-Xia Dou,Liang-Jian Deng*
Annual Conference on Neural Information Processing Systems (NeurIPS), 2024
[PDF]
[BibTeX]
@ARTICLE{xiaoipi2024,
title={SSDiff: Spatial-spectral Integrated Diffusion Model for Remote Sensing Pansharpening},
author={Yuzhong, XiaoWu, Zihan Cao, Hong-Xia Dou, Liang-Jian Deng},
journal={Annual Conference on Neural Information Processing Systems (NeurIPS)},
year={2024},
doi={}
}
[Code]
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- Content-Adaptive Non-Local Convolution for Remote Sensing Pansharpening
Yule Duan#, Xiao Wu#, Haoyu Deng, Liang-Jian Deng*
IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024
[PDF]
[BibTeX]
@ARTICLE{duancvpr2024,
title={Content-Adaptive Non-Local Convolution for Remote Sensing Pansharpening},
author={Yule Duan, Xiao Wu, Haoyu Deng, Liang-Jian Deng},
journal={IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR)},
volume={},
number={},
pages={},
year={2024},
doi={}
}
[Code]
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- Diffusion Model with Disentangled Modulations for Sharpening Multispectral and Hyperspectral Images
Zihan Cao, Shiqi Cao, Liang-Jian Deng*, Xiao Wu, Junming Hou, Gemine Vivone
Information Fusion, 2024
[PDF]
[BibTeX]
@article{DDIF2024,
title = {Diffusion model with disentangled modulations for sharpening multispectral and hyperspectral images},
journal = {Information Fusion},
volume = {104},
pages = {102158},
year = {2024},
issn = {1566-2535},
doi = {https://doi.org/10.1016/j.inffus.2023.102158},
author = {Zihan Cao and Shiqi Cao and Liang-Jian Deng and Xiao Wu and Junming Hou and Gemine Vivone},
}
[Code]
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- A general image fusion framework using multi-task semi-supervised learning
Wu Wang, Liang-Jian Deng*, Gemine Vivone
Information Fusion, 2024
[PDF]
[BibTeX]
@ARTICLE{wangif2024,
title={ A general image fusion framework using multi-task semi-supervised learning },
author={Wu Wang, Liang-Jian Deng, Gemine Vivone },
journal={Information Fusion (IF)},
volume={108},
number={},
pages={102414},
year={2024},
doi={}
}
[Code]
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- A Novel L0 Minimization Framework of Tensor Tubal Rank and Its Multi-dimensional Image Completion Application
Jin-Liang Xiao, Ting-Zhu Huang*, Liang-Jian Deng*, Hong-Xia Dou
Inverse Problems and Imaging, 2024
[PDF]
[BibTeX]
@ARTICLE{xiaoipi2024,
title={A novel $\ell_{0} $ minimization framework of tensor tubal rank and its multi-dimensional image completion application},
author={Jin-Liang Xiao, Ting-Zhu Huang, Liang-Jian Deng, Hong-Xia Dou},
journal={Inverse Problems and Imaging},
volume={18},
number={6},
pages={1366-1389},
year={2024},
doi={}
}
[Code]
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- TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks
Ruijie Zhu, Malu Zhang*, Qihang Zhao, Haoyu Deng, Yule Duan Liang-Jian Deng*
IEEE Transactions on Neural Networks and Learning Systems, 2024
[PDF]
[BibTeX]
@article{zhu2024tcja,
author={Zhu, Rui-Jie and Zhang, Malu and Zhao, Qihang and Deng, Haoyu and Duan, Yule and Deng, Liang-Jian},
journal={IEEE Transactions on Neural Networks and Learning Systems},
title={TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks},
year={2024},
volume={},
number={},
pages={1-14},
doi={10.1109/TNNLS.2024.3377717}
}
[Code]
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- KNLConv: Kernel-space Non-local Convolution for Hyperspectral Image Super-resolution
Ran Ran, Liang-Jian Deng*, Tian-Jing Zhang, Jianlong Chang, Xiao Wu, Qi Tian
IEEE Transactions on Multimedia, 2024
[PDF]
[BibTeX]
@ARTICLE{rantmm2024,
title={KNLConv: Kernel-space Non-local Convolution for Hyperspectral Image Super-resolution},
author={Ran, Ran and Deng, Liang-Jian and Zhang, Tian-Jing and Chang, Jianlong and Wu, Xiao and Tian, Qi},
journal={IEEE Transactions on Multimedia},
year={2024},
publisher={IEEE}
}
[Code]
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- Zero-shot Semi-supervised Learning for Pansharpening
Qi Cao, Liang-Jian Deng*, Wu Wang, Junming Hou, Gemine Vivone
Information Fusion, 2024
[PDF]
[BibTeX]
@ARTICLE{caoif2024,
title={Zero-shot semi-supervised learning for pansharpening},
author={Qi Cao, Liang-Jian Deng, Wu Wang, Junming Hou, Gemine Vivone},
journal={Information Fusion},
volume={101},
number={},
pages={102001},
year={2024},
doi={10.1016/j.inffus.2023.102001}
}
[Code]
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- Variational Pansharpening Based on Coefficient Estimation With Nonlocal Regression
Jin-Liang Xiao, Ting-Zhu Huang*, Liang-Jian Deng*, Zhong-Cheng Wu, Xiao Wu, Gemine Vivone
IEEE Transactions on Geoscience and Remote Sensing, 2023
[PDF]
[BibTeX]
@ARTICLE{xiaotgrs2023,
title={Variational Pansharpening Based on Coefficient Estimation With Nonlocal Regression},
author={Jin-Liang Xiao, Ting-Zhu Huang, Liang-Jian Deng, Zhong-Cheng Wu, Xiao Wu, Gemine Vivone},
journal={IEEE Transactions on Geoscience and Remote Sensing},
volume={61},
number={},
pages={1-15},
year={2023},
doi={10.1109/TGRS.2023.3305296}
}
[Code]
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- Cascadic Multireceptive Learning for Multispectral Pansharpening
Jun-Da Wang, Liang-Jian Deng*, Chen-Yu Zhao, Xiao Wu, Hong-Ming Chen, Gemine Vivone
IEEE Transactions on Geoscience and Remote Sensing
, 2023
[PDF]
[BibTeX]
@ARTICLE{wangtgrs2023,
title={Cascadic Multireceptive Learning for Multispectral Pansharpening},
author={Wang, Jun-Da and Deng, Liang-Jian and Zhao, Chen-Yu and Wu, Xiao and Chen, Hong-Ming and Vivone, Gemine},
journal={IEEE Transactions on Geoscience and Remote Sensing},
volume={61},
number={},
pages={1-16},
year={2023},
doi={10.1109/TGRS.2023.3329881}
}
[Code]
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- U2Net: A General Framework with Spatial-Spectral-Integrated Double U-Net for Image Fusion
Siran Peng#, Chenhao Guo#, Xiao Wu, Liang-Jian Deng*
ACM International Conference on Multimedia (ACMMM), 2023 (#: equal contribution)
[PDF]
[BibTeX]
@ARTICLE{pengacmmm2023,
title={U2Net: A General Framework with Spatial-Spectral-Integrated Double U-Net for Image Fusion},
author={Siran Peng, Chenhao Guo, Xiao Wu, Liang-Jian Deng},
journal={ACM International Conference on Multimedia (ACMMM)},
volume={},
number={},
pages={},
year={2023},
doi={}
}
[Code]
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- Bidomain Modeling Paradigm for Pansharpening
Junming Hou#, Qi Cao#, Ran Ran, Che Liu, Junling Li*, Liang-Jian Deng*
ACM International Conference on Multimedia (ACMMM), 2023 (#: equal contribution)
[PDF]
[BibTeX]
@ARTICLE{houacmmm2023,
title={Bidomain Modeling Paradigm for Pansharpening},
author={Junming Hou, Qi Cao, Ran Ran, Che Liu, Junling Li, Liang-Jian Deng},
journal={ACM International Conference on Multimedia (ACMMM)},
volume={},
number={},
pages={},
year={2023},
doi={}
}
[Code]
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- LGPConv: Learnable Gaussian Perturbation Convolution for Lightweight Pansharpening
Chen-Yu Zhao, TianJing Zhang, Ran Ran, Zhi-Xuan Chen, Liang-Jian Deng*
International Joint Conference on Artificial Intelligence (IJCAI), 2023
[PDF]
[BibTeX]
@ARTICLE{zhaoijcai2023,
title={LGPConv: Learnable Gaussian Perturbation Convolution for Lightweight Pansharpening},
author={Chen-Yu Zhao, TianJing Zhang, Ran Ran, Zhi-Xuan Chen, Liang-Jian Deng},
journal={International Joint Conference on Artificial Intelligence (IJCAI)},
volume={},
number={},
pages={},
year={2023},
doi={}
}
[Code will be available]
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- Bidirectional Dilation Transformer for Multispectral and Hyperspectral Image Fusion
Shang-Qi Deng, Liang-Jian Deng*, Xiao Wu, Ran Ran, Rui Wen
International Joint Conference on Artificial Intelligence (IJCAI), 2023
[PDF]
[BibTeX]
@ARTICLE{dengijcai2023,
title={Bidirectional Dilation Transformer for Multispectral and Hyperspectral Image Fusion},
author={Shang-Qi Deng, Liang-Jian Deng, Xiao Wu, Ran Ran, Rui Wen},
journal={International Joint Conference on Artificial Intelligence (IJCAI)},
volume={},
number={},
pages={},
year={2023},
doi={}
}
[Code will be available]
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- A Framelet Sparse Reconstruction Method for Pansharpening with Guaranteed Convergence
Zhong-Cheng Wu, Ting-Zhu Huang*, Liang-Jian Deng*, Gemine Vivone
Inverse Problems and Imaging, 2023
[PDF]
[BibTeX]
@ARTICLE{wu2023ipi,
title={A Framelet Sparse Reconstruction Method for Pansharpening with Guaranteed Convergence},
author={Wu, Zhong-Cheng and Huang, Ting-Zhu and Deng, Liang-Jian and Vivone, Gemine},
journal={Inverse Problems and Imaging},
volume={},
number={},
pages={},
year={2023},
doi={10.3934/ipi.2023016}
}
[Code]
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- LRTCFPan: Low-Rank Tensor Completion Based Framework for Pansharpening
Zhong-Cheng Wu, Ting-Zhu Huang*, Liang-Jian Deng*, Jie Huang, Jocelyn Chanussot, Gemine Vivone
IEEE Transactions on Image Processing, 2023
[PDF]
[BibTeX]
@ARTICLE{wu2023lrtc,
title={LRTCFPan: Low-Rank Tensor Completion Based Framework for Pansharpening},
author={Wu, Zhong-Cheng and Huang, Ting-Zhu and Deng, Liang-Jian and Huang, Jie and Chanussot, Jocelyn and Vivone, Gemine},
journal={IEEE Transactions on Image Processing},
volume={32},
number={},
pages={1640-1655},
year={2023},
doi={10.1109/TIP.2023.3247165}
}
[Code]
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- A Novel Spatial Fidelity with Learnable Nonlinear Mapping for Panchromatic Sharpening
Rui Wen, Liang-Jian Deng*, Zhong-Cheng Wu, Xiao Wu, Gemine Vivone
IEEE Transactions on Geoscience and Remote Sensing, 2023
[PDF]
[BibTeX]
@ARTICLE{wen2023lms,
title={A Novel Spatial Fidelity with Learnable Nonlinear Mapping for Panchromatic Sharpening},
author={Wen, Rui and Deng, Liang-Jian and Wu, Zhong-Cheng and Wu, Xiao and Vivone, Gemine},
journal={IEEE Transactions on Geoscience and Remote Sensing},
volume={},
number={},
pages={},
doi={10.1109/TGRS.2023.3265404}
}
[Code]
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- GuidedNet: A General CNN Fusion Framework via High-Resolution Guidance for Hyperspectral Image Super-Resolution
Ran Ran, Liang-Jian Deng*, Tai-Xiang Jiang, Jin-Fan Hu, Jocelyn Chanussot, Gemine Vivone
IEEE Transactions on Cybernetics, 2023
[PDF]
[BibTeX]
@ARTICLE{10035506,
author={Ran, Ran and Deng, Liang-Jian and Jiang, Tai-Xiang and Hu, Jin-Fan and Chanussot, Jocelyn and Vivone, Gemine},
journal={IEEE Transactions on Cybernetics},
title={GuidedNet: A General CNN Fusion Framework via High-Resolution Guidance for Hyperspectral Image Super-Resolution},
year={2023},
volume={},
number={},
pages={1-14},
doi={10.1109/TCYB.2023.3238200}}
[Code]
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- PSRT: Pyramid Shuffle-and-Reshuffle Transformer for Multispectral and Hyperspectral Image Fusion
Shang-Qi Deng, Liang-Jian Deng*, Xiao Wu, Ran Ran, Danfeng Hong, Gemine Vivone
IEEE Transactions on Geoscience and Remote Sensing, 2023
[PDF]
[BibTeX]
@ARTICLE{dengtgrs2023,
author={Shang-Qi Deng, Liang-Jian Deng, Xiao Wu, Ran Ran, Danfeng Hong, Gemine Vivone},
journal={IEEE Transactions on Geoscience and Remote Sensing},
title={PSRT: Pyramid Shuffle-and-Reshuffle Transformer for Multispectral and Hyperspectral Image Fusion},
year={2023},
volume={61},
number={},
pages={1-15},
doi={10.1109/TGRS.2023.3244750}
}
[Code]
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- Machine Learning in Pansharpening: A Benchmark, from Shallow to Deep Networks
Liang-Jian Deng, Gemine Vivone*, Mercedes E. Paoletti, Giuseppe Scarpa, Jiang He, Yongjun Zhang, Jocelyn Chanussot, Antonio Plaza
IEEE Geoscience and Remote Sensing Magazine, 2022 (A bechmark and easy-to-use code toolbox "DLPan-Toolbox" for pansharpening)
[PDF]
[BibTeX]
@ARTICLE{deng2022vivone,
author={L. -J. Deng, G. Vivone, M. E. Paoletti, G. Scarpa, J. He, Y. Zhang, J. Chanussot, and A. Plaza},
journal={IEEE Geoscience and Remote Sensing Magazine},
title={Machine Learning in Pansharpening: A Benchmark, from Shallow to Deep Networks},
year={2022},
volume={10},
number={3},
pages={279-315},
doi={10.1109/MGRS.2022.3187652}
}
[DLPan-Toolbox]
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- 遥感图像全色锐化的卷积神经网络方法研究进展
邓良剑*,冉燃,吴潇,张添敬
中国图象图形学报,2022 (A easy-to-use dataset "PanCollection" for pansharpening)
[PDF]
[BibTeX]
@ARTICLE{dengjig2022,
author={邓良剑,冉燃,吴潇,张添敬},
journal={中国图象图形学报},
title={遥感图像全色锐化的卷积神经网络方法研究进展},
year={2022},
volume={},
number={9},
pages={},
doi={10.11834/jig.220540}
}
[Dataset]
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- A Deep-Shallow Fusion Network With Multidetail Extractor and Spectral Attention for Hyperspectral Pansharpening
Yu-Wei Zhuo, Tian-Jing Zhang, Jin-Fan Hu, Hong-Xia Dou, Ting-Zhu Huang, Liang-Jian Deng*
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
[PDF]
[BibTeX]
@ARTICLE{zhuojstars2022,
author={Y. -W. Zhuo, T. -J. Zhang, J. -F. Hu, H. -X. Dou, T. -Z. Huang and L. -J. Deng},
journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
title={A Deep-Shallow Fusion Network With Multidetail Extractor and Spectral Attention for Hyperspectral Pansharpening},
year={2022},
volume={15},
number={},
pages={7539-7555},
doi={10.1109/JSTARS.2022.3202866}
}
[Code]
[Dataset] (A easy-to-use dataset "HyperPanCollection" for hyperspectral pansharpening)
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- Tensor Wheel Decomposition and Its Tensor Completion Application
Zhong-Cheng Wu, Ting-Zhu Huang*, Liang-Jian Deng*, Hong-Xia Dou, Deyu Meng
Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS), 2022
[PDF]
[BibTeX]
@ARTICLE{wuneurips2022,
author={Z.-C. Wu and T.-Z. Huang and L.-J. Deng and H.-X. Dou and D. Meng},
journal={Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS)},
title={Tensor Wheel Decomposition and Its Tensor Completion Application},
year={2022},
volume={},
number={},
pages={},
doi={}
}
[Code]
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- Fusformer: A Transformer-based Fusion Network for Hyperspectral Image Super-resolution
Jin-Fan Hu, Ting-Zhu Huang*, Liang-Jian Deng*, Hong-Xia Dou, Danfeng Hong, Gemine Vivone
IEEE Geoscience and Remote Sensing Letters, 2022 (A first work applying Transformer to HISR)
[PDF]
[BibTeX]
@ARTICLE{hugrsl2022,
author={J.-F. Hu, T.-Z. Huang, L.-J. Deng, H.-X. Dou, D. Hong, G. Vivone},
journal={IEEE Geoscience and Remote Sensing Letters},
title={Fusformer: A Transformer-based Fusion Network for Hyperspectral Image Super-resolution},
year={2022},
volume={19},
number={},
pages={1-5},
doi={10.1109/LGRS.2022.3194257}
}
[Code]
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- SpanConv: A New Convolution via Spanning Kernel Space for Lightweight Pansharpening
Zhi-Xuan Chen, Cheng Jin, Tian-Jing Zhang, Xiao Wu, Liang-Jian Deng*
International Joint Conferences on Artificial Intelligence (IJCAI), 2022 (Long Oral, 3.7%)
[PDF]
[BibTeX]
@ARTICLE{chenijcai2022,
author={Z.-X. Chen, C. Jin, T.-J. Zhang, X. Wu, and L.-J. Deng},
journal={International Joint Conferences on Artificial Intelligence (IJCAI)},
title={SpanConv: A New Convolution via Spanning Kernel Space for Lightweight Pansharpening},
year={2022},
volume={},
number={},
pages={841-847},
doi={10.24963/ijcai.2022/118}
}
[Code]
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- A Decoder-free Transformer-like Architecture for High-efficiency Single Image Deraining
Xiao Wu, Ting-Zhu Huang*, Liang-Jian Deng*, Tian-Jing Zhang
International Joint Conferences on Artificial Intelligence (IJCAI), 2022 (Long Oral, 3.7%)
[PDF]
[BibTeX]
@ARTICLE{wuijcai2022,
author={X. Wu, T.-Z. Huang, L.-J. Deng, and T.-J. Zhang},
journal={International Joint Conferences on Artificial Intelligence (IJCAI)},
title={A Decoder-free Transformer-like Architecture for High-efficiency Single Image Deraining},
year={2022},
volume={},
number={},
pages={1474-1480},
doi={10.24963/ijcai.2022/205}
}
[Code]
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- Source-Adaptive Discriminative Kernels based Network for Remote Sensing Pansharpening
Siran Peng, Liang-Jian Deng*, Jin-Fan Hu, Yuwei Zhuo
International Joint Conferences on Artificial Intelligence (IJCAI), 2022.
[PDF]
[BibTeX]
@ARTICLE{pengijcai2022,
author={S. Peng, L.-J. Deng, J.-F. Hu, and Y.-W. Zhuo},
journal={International Joint Conferences on Artificial Intelligence (IJCAI)},
title={Source-Adaptive Discriminative Kernels based Network for Remote Sensing Pansharpening},
year={2022},
volume={},
number={},
pages={1283-1289},
doi={10.24963/ijcai.2022/179}
}
[Code]
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- An Iterative Regularization Method based on Tensor Subspace Representation for Hyperspectral Image Super-Resolution
Ting Xu, Ting-Zhu Huang*, Liang-Jian Deng*, Naoto Yokoya
IEEE Transactions on Geoscience and Remote Sensing, 2022.
[PDF]
[BibTeX]
@ARTICLE{xutgrs2022,
author={T. Xu, T.-Z. Huang, L.-J. Deng, and N. Yokoya},
journal={IEEE Transactions on Geoscience and Remote Sensing},
title={An Iterative Regularization Method based on Tensor Subspace Representation for Hyperspectral Image Super-Resolution},
year={2022},
volume={60},
number={},
pages={1-16},
doi={10.1109/TGRS.2022.3176266}
}
[Code]
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- A Triple-Double Convolutional Neural Network for Panchromatic Sharpening
Tian-Jing Zhang, Liang-Jian Deng*, Ting-Zhu Huang, Jocelyn Chanussot, and Gemine Vivone
IEEE Transactions on Neural Networks and Learning Systems, 2022.
[PDF]
[BibTeX]
@ARTICLE{zhangtnnls2022,
author={T.-J. Zhang, L.-J. Deng, T.-Z. Huang, J. Chanussot, and G. Vivone},
journal={IEEE Transactions on Neural Networks and Learning Systems},
title={A Triple-Double Convolutional Neural Network for Panchromatic Sharpening},
year={2022},
volume={},
number={},
pages={},
doi={10.1109/TNNLS.2022.3155655}
}
[Code]
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- A New Context-Aware Details Injection Fidelity with Adaptive Coefficients Estimation for Variational Pansharpening
Jin-Liang Xiao, Ting-Zhu Huang*, Liang-Jian Deng*, Zhong-Cheng Wu, and Gemine Vivone
IEEE Transactions on Geoscience and Remote Sensing, 2022.
[PDF]
[BibTeX]
@ARTICLE{xiao2022tgrs,
author={J.-L. Xiao, T.-Z. Huang, L.-J. Deng, Z.-C. Wu, and G. Vivone},
journal={IEEE Transactions on Geoscience and Remote Sensing},
title={A New Context-Aware Details Injection Fidelity with Adaptive Coefficients Estimation for Variational Pansharpening},
year={2022},
volume={60},
number={},
pages={1-15},
doi={10.1109/TGRS.2022.3154480}
}
[Code]
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- LAGConv: Local-context Adaptive Convolution Kernels with Global Harmonic Bias for Pansharpening
Zi-Rong Jin#, Tian-Jing Zhang#, Tai-Xiang Jiang, Gemine Vivone, Liang-Jian Deng*
AAAI Conference on Artificial Intelligence (AAAI), 2022. (#: equal contribution)
[PDF]
[BibTeX]
@ARTICLE{jin2022aaai,
author={Jin, Zi-Rong and Zhang, Tian-Jing and Jiang, Tai-Xiang and Vivone, Gemine and Deng, Liang-Jian},
journal={AAAI Conference on Artificial Intelligence (AAAI)},
title={LAGConv: Local-context Adaptive Convolution Kernels with Global Harmonic Bias for Pansharpening},
year={2022},
volume={},
number={},
pages={},
doi={}
}
[Code]
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- Laplacian Pyramid Networks: A New Approach for Multispectral Pansharpening
Cheng Jin, Liang-Jian Deng*, Ting-Zhu Huang, Gemine Vivone
Information Fusion, 2022.
[PDF]
[BibTeX]
@ARTICLE{jinif2021,
author={Jin, Cheng and Deng, Liang-Jian and Huang, Ting-Zhu and Vivone, Gemine},
journal={Information Fusion},
title={Laplacian Pyramid Networks: A New Approach for Multispectral Pansharpening},
year={2022},
volume={78},
number={},
pages={158-170},
doi={}
}
[Code]
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- Hyperspectral Image Super-resolution via Deep Spatio-spectral Attention Convolutional Neural Networks
Jin-Fan Hu, Ting-Zhu Huang*, Liang-Jian Deng*, Tai-Xiang Jiang, Gemine Vivone, Jocelyn Chanussot
IEEE Transactions on Neural Networks and Learning Systems , 2022.
[PDF]
[BibTeX]
@ARTICLE{Hutnnls,
author={Hu, Jin-Fan and Huang, Ting-Zhu and Deng, Liang-Jian and Jiang, Tai-Xiang and Vivone, Gemine and Chanussot, Jocelyn},
journal={IEEE Transactions on Neural Networks and Learning Systems},
title={Hyperspectral Image Super-Resolution via Deep Spatiospectral Attention Convolutional Neural Networks},
year={2022},
volume={33},
number={12},
pages={7251-7265},
doi={10.1109/TNNLS.2021.3084682}
}
[Code]
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- VO+Net: An Adaptive Approach Using Variational Optimization and Deep Learning for Panchromatic Sharpening
Zhong-Cheng Wu, Ting-Zhu Huang*, Liang-Jian Deng*, Jin-Fan Hu, Gemine Vivone
IEEE Transactions on Geoscience and Remote Sensing, 2022.
[PDF]
[BibTeX]
@ARTICLE{wutgrs,
author={Wu, Zhong-Cheng and Huang, Ting-Zhu and Deng, Liang-Jian and Hu, Jin-Fan and Vivone, Gemine},
journal={IEEE Transactions on Geoscience and Remote Sensing},
title={VO+Net: An Adaptive Approach Using Variational Optimization and Deep Learning for Panchromatic Sharpening},
year={2022},
volume={60},
number={},
pages={1-16},
doi={10.1109/TGRS.2021.3066425}}
[Code]
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- Dynamic Cross Feature Fusion for Remote Sensing Pansharpening
Xiao Wu, Ting-Zhu Huang*, Liang-Jian Deng*, Tian-Jing Zhang
IEEE International Conference on Computer Vision (ICCV), 2021.
[PDF]
[Poster]
[BibTeX]
@InProceedings{Wu_2021_ICCV,
author = {Wu, Xiao and Huang, Ting-Zhu and Deng, Liang-Jian and Zhang, Tian-Jing},
title = {Dynamic Cross Feature Fusion for Remote Sensing Pansharpening},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
month = {October},
year = {2021},
pages = {14687-14696}
}
[Code]
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- SSconv: Explicit Spectral-to-Spatial Convolution for Pansharpening
Yudong Wang, Liang-Jian Deng*, Tian-Jing Zhang, Xiao Wu
ACM International Conference on Multimedia (ACM MM), 2021.
[PDF]
[Poster]
[BibTeX]
@ARTICLE{mucnn,
author={Yudong Wang, Liang-Jian Deng, Tian-Jing Zhang, Xiao Wu},
booktitle={Proceedings of the 29th ACM International Conference on Multimedia (ACM MM)},
title={SSconv: Explicit Spectral-to-Spatial Convolution for Pansharpening},
year={2021},
pages={DOI: 10.1145/3474085.3475600.},
}
[Code]
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- BAM: Bilateral Activation Mechanism for Image Fusion
Zi-Rong Jin, Liang-Jian Deng*, Tian-Jing Zhang, Xiaoxu Jin
ACM International Conference on Multimedia (ACM MM), 2021.
[PDF]
[Poster]
[BibTeX]
@ARTICLE{BAM,
author={Zi-Rong Jin , Liang-Jian Deng, Tian-Jing Zhang, Xiaoxu Jin},
journal={Proceedings of the 29th ACM International Conference on Multimedia (ACM MM)},
title={BAM: Bilateral Activation Mechanism for Image Fusion},
year={2021},
volume={},
number={},
pages={DOI: 10.1145/3474085.3475571},
}
[Code]
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- A Multigrid Algorithm For Maxflow And Min-Cut Problems With Applications To Multiphase Image Segmentation
Xue-Cheng Tai, Liang-Jian Deng*, Ke Yin
Journal of Scientific Computing, 2021.
[PDF]
[BibTeX]
@ARTICLE{taijsc,
author={Tai, Xue-Cheng and Deng, Liang-Jian and Yin, Ke},
journal={Journal of Scientific Computing},
title={A Multigrid Algorithm for Maxflow and Min-Cut Problems with Applications to Multiphase Image Segmentation},
year={2021},
volume={87},
number={101},
doi={10.1007/s10915-021-01458-3}
}
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- Detail Injection-based Deep Convolutional Neural Networks for Pansharpening
Liang-Jian Deng, Gemine Vivone*, Cheng Jin, Jocelyn Chanussot
IEEE Transactions on Geoscience and Remote Sensing, 2021.
[PDF]
[BibTeX]
@ARTICLE{dengtgrs,
author={Deng, Liang-Jian and Vivone, Gemine and Jin, Cheng and Chanussot, Jocelyn},
journal={IEEE Transactions on Geoscience and Remote Sensing},
title={Detail Injection-Based Deep Convolutional Neural Networks for Pansharpening},
year={2021},
volume={59},
number={8},
pages={6995-7010},
doi={10.1109/TGRS.2020.3031366}}
[Code]
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- Nonlocal Tensor-Based Sparse Hyperspectral Unmixing
Jie Huang*, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng
IEEE Transactions on Geoscience and Remote Sensing, 2021.
[PDF]
[BibTeX]
@ARTICLE{huangtgrs,
author={Huang, Jie and Huang, Ting-Zhu and Zhao, Xi-Le and Deng, Liang-Jian},
journal={IEEE Transactions on Geoscience and Remote Sensing},
title={Nonlocal Tensor-Based Sparse Hyperspectral Unmixing},
year={2021},
volume={59},
number={8},
pages={6854-6868},
doi={10.1109/TGRS.2020.3030233}}
[Code]
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- A New Variational Approach Based on Proximal Deep Injection and Gradient Intensity Similarity for Spatio-spectral Image Fusion
Zhong-Chen Wu, Ting-Zhu Huang*, Liang-Jian Deng*, Gemine Vivone, Jia-Qing Miao, Jin-Fan Hu, Xi-Le Zhao
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020.
[PDF]
[BibTeX]
@ARTICLE{wujstars2020,
author={Wu, Zhong-Cheng and Huang, Ting-Zhu and Deng, Liang-Jian and Vivone, Gemine and Miao, Jia-Qing and Hu, Jin-Fan and Zhao, Xi-Le},
journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
title={A New Variational Approach Based on Proximal Deep Injection and Gradient Intensity Similarity for Spatio-Spectral Image Fusion},
year={2020},
volume={13},
number={},
pages={6277-6290},
doi={10.1109/JSTARS.2020.3030129}}
[Code]
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- Hyperspectral Image Superresolution Using Unidirectional Total Variation With Tucker Decomposition
Ting-Xu, Ting-Zhu Huang*, Liang-Jian Deng*, Xi-Le Zhao, Jie Huang
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020.
[PDF]
[BibTeX]
@ARTICLE{xujstars2020,
author={Xu, Ting and Huang, Ting-Zhu and Deng, Liang-Jian and Zhao, Xi-Le and Huang, Jie},
journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
title={Hyperspectral Image Superresolution Using Unidirectional Total Variation With Tucker Decomposition},
year={2020},
volume={13},
number={},
pages={4381-4398},
doi={10.1109/JSTARS.2020.3012566}}
[Code]
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- The Fusion of Panchromatic and Multispectral Remote Sensing Images via Tensor-based Sparse Modeling and Hyper-Laplacian Prior
Liang-Jian Deng, Minyu Feng, Xue-Cheng Tai
Information Fusion, 52: 76-89, 2019.
[PDF]
[Code]
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- Fastderain: A Novel Video Rain Streak Removal Method Using Directional Gradient Priors
Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng, Yao Wang
IEEE Transactions on Image Processing, 28(4): 2089-2102, 2019.
[PDF]
[Code]
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- A Variational Pansharpening Approach Based on Reproducible Kernel Hilbert Space and Heaviside Function
Liang-Jian Deng, Gemine Vivone, Weihong Guo*, Mauro Dalla Mura, Jocelyn Chanussot
IEEE Transactions on Image Processing, 27(9): 4330-4344, 2018.
[PDF]
[Code will be available]
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- Joint-Sparse-Blocks and Low-Rank Representation for Hyperspectral Unmixing
Jie Huang, Ting-Zhu Huang, Liang-Jian Deng Xi-Le Zhao
IEEE Transactions on Geoscience and Remote Sensing, 57(4):2419-2438, 2018.
[PDF]
[Code]
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- A Directional Global Sparse Model for Single Image Rain Removal
Liang-Jian Deng, Ting-Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang
Applied Mathematical Modelling, 59: 662-679, 2018.
[PDF]
[Code]
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- Directional l0 Sparse Modeling for Image Stripe Noise Removal
Hong-Xia Dou, Ting-Zhu Huang, Liang-Jian Deng, Xi-Le Zhao, Jie Huang
Remote Sensing, 10(3): 361, 2018.
[PDF]
[Code]
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- A Novel Tensor-based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors
Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng, Yao Wang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
[PDF]
[Supplementary]
[Code]
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- Single Image Super-resolution via An Iterative Reproducing Kernel Hilbert Space Method
Liang-Jian Deng, Weihong Guo, Ting-Zhu Huang
IEEE Transactions on Circuits and Systems for Video Technology, 26(11): 2001-2014, 2016
[PDF]
[Code]
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- Exemplar-based Image Inpainting Using A Modified Priority Definition
Liang-Jian Deng, Ting-Zhu Huang, Xi-Le Zhao
PLoS One, 10(10), 2015
[PDF]
[Code]
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Academic Activities:
Peer-Reviewer:
IEEE TPAMI, IEEE TIP, IEEE TGRS, IEEE TCSVT, IEEE JSTARS, IEEE TCyber., IEEE TNNLS, IEEE JSTSP, IEEE GRSL
ISPRS Journal of Photogrammetry and Remote Sensing, Journal of Mathematical Imaging and Vision, SCIENCE CHINA-Information Sciences, etc.