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2020 – today
- 2024
[j8]Feiqiang Liu, Aiwen Jiang, Lihui Chen:
A multi-scale channel attention network with federated learning for magnetic resonance image super-resolution. Multim. Syst. 30(4): 214 (2024)- [i1]Aiwen Jiang, Zhi Wei, Long Peng, Feiqiang Liu, Wenbo Li, Mingwen Wang:
DaLPSR: Leverage Degradation-Aligned Language Prompt for Real-World Image Super-Resolution. CoRR abs/2406.16477 (2024) - 2023
- [j7]Feiqiang Liu, Xiaomin Yang, Bernard De Baets:
A deep recursive multi-scale feature fusion network for image super-resolution. J. Vis. Commun. Image Represent. 90: 103730 (2023) - [j6]Feiqiang Liu, Xiaomin Yang, Bernard De Baets:
Lightweight image super-resolution with a feature-refined network. Signal Process. Image Commun. 111: 116898 (2023) - 2022
- [j5]Jiayi Qin
, Feiqiang Liu, Kai Liu, Gwanggil Jeon, Xiaomin Yang:
Lightweight hierarchical residual feature fusion network for single-image super-resolution. Neurocomputing 478: 104-123 (2022) - [j4]Feiqiang Liu, Qiang Yu, Lihui Chen, Gwanggil Jeon, Marcelo Keese Albertini, Xiaomin Yang:
Aerial image super-resolution based on deep recursive dense network for disaster area surveillance. Pers. Ubiquitous Comput. 26(4): 1205-1214 (2022) - 2021
- [j3]Feiqiang Liu, Lihui Chen, Lu Lu, Gwanggil Jeon, Xiaomin Yang:
Infrared and visible image fusion via rolling guidance filter and convolutional sparse representation. J. Intell. Fuzzy Syst. 40(6): 10603-10616 (2021) - 2020
- [j2]Feiqiang Liu, Lihui Chen, Lu Lu, Awais Ahmad, Gwanggil Jeon, Xiaomin Yang:
Medical image fusion method by using Laplacian pyramid and convolutional sparse representation. Concurr. Comput. Pract. Exp. 32(17) (2020) - [j1]Chengrui Gao, Feiqiang Liu, Hua Yan:
Infrared and visible image fusion using dual-tree complex wavelet transform and convolutional sparse representation. J. Intell. Fuzzy Syst. 39(3): 4617-4629 (2020)
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