Medical image fusion method by using Laplacian pyramid and convolutional sparse representation. - Feiqiang Liu; Lihui Chen 002; Lu Lu 005; Awais Ahmad 001; Gwanggil Jeon; Xiaomin Yang (Concurr. Comput. Pract. Exp., 2020)

Infrared and visible image fusion using dual-tree complex wavelet transform and convolutional sparse representation. - Chengrui Gao; Feiqiang Liu; Hua Yan (J. Intell. Fuzzy Syst., 2020)

Infrared and visible image fusion via rolling guidance filter and convolutional sparse representation. - Feiqiang Liu; Lihui Chen 002; Lu Lu 005; Gwanggil Jeon; Xiaomin Yang (J. Intell. Fuzzy Syst., 2021)

Lightweight hierarchical residual feature fusion network for single-image super-resolution. - Jiayi Qin; Feiqiang Liu; Kai Liu 012; Gwanggil Jeon; Xiaomin Yang (Neurocomputing, 2022)

Aerial image super-resolution based on deep recursive dense network for disaster area surveillance. - Feiqiang Liu; Qiang Yu; Lihui Chen 002; Gwanggil Jeon; Marcelo Keese Albertini; Xiaomin Yang (Pers. Ubiquitous Comput., 2022)

Lightweight image super-resolution with a feature-refined network. - Feiqiang Liu; Xiaomin Yang; Bernard De Baets (Signal Process. Image Commun., 2023)

A deep recursive multi-scale feature fusion network for image super-resolution. - Feiqiang Liu; Xiaomin Yang; Bernard De Baets (J. Vis. Commun. Image Represent., 2023)

DaLPSR: Leverage Degradation-Aligned Language Prompt for Real-World Image Super-Resolution. - Aiwen Jiang; Zhi Wei 004; Long Peng 003; Feiqiang Liu; Wenbo Li 002; Mingwen Wang 001 (CoRR, 2024)

A multi-scale channel attention network with federated learning for magnetic resonance image super-resolution. - Feiqiang Liu; Aiwen Jiang; Lihui Chen (Multim. Syst., 2024)