5 papers
Lightweight Deep Unfolding Networks with Enhanced Robustness for Infrared Small Target Detection
Jingjing Liu, Yinchao Han, Xianchao Xiu +2
Infrared small target detection (ISTD) is one of the key techniques in image processing. Although deep unfolding networks (DUNs) have demonstrated promising performance in ISTD due…
STAR-Net: An Interpretable Model-Aided Network for Remote Sensing Image Denoising
Jingjing Liu, Jiashun Jin, Xianchao Xiu +2
Remote sensing image (RSI) denoising is an important topic in the field of remote sensing. Despite the impressive denoising performance of RSI denoising methods, most current deep…
Bi-Level Unsupervised Feature Selection
Jingjing Liu, Xiansen Ju, Xianchao Xiu +1
Unsupervised feature selection (UFS) is an important task in data engineering. However, most UFS methods construct models from a single perspective and often fail to simultaneously…
Robust Orthogonal NMF with Label Propagation for Image Clustering
Jingjing Liu, Nian Wu, Xianchao Xiu +1
Non-negative matrix factorization (NMF) is a popular unsupervised learning approach widely used in image clustering. However, in real-world clustering scenarios, most existing NMF…
MATCNN: Infrared and Visible Image Fusion Method Based on Multi-scale CNN with Attention Transformer
Jingjing Liu, Li Zhang, Xiaoyang Zeng +2
While attention-based approaches have shown considerable progress in enhancing image fusion and addressing the challenges posed by long-range feature dependencies, their efficacy i…