A degradation-aware guided fusion network for infrared and visible image
X Wang, Z Guan, W Qian, J Cao, R Ma, C Bi - Information Fusion, 2025 - Elsevier
Most IVIF methods focus solely on visual feature fusion, neglecting degraded scene
information, which results in suboptimal solutions that do not fully reflect implicit scene …
information, which results in suboptimal solutions that do not fully reflect implicit scene …
SMAE-Fusion: Integrating saliency-aware masked autoencoder with hybrid attention transformer for infrared–visible image fusion
The objective of infrared–visible image fusion (IVIF) is to generate composite images from
multiple modalities that enhance visual representation and support advanced vision tasks …
multiple modalities that enhance visual representation and support advanced vision tasks …
Rethinking Normalization Strategies and Convolutional Kernels for Multimodal Image Fusion
D He, G Wang, W Li, Y Shu, W Li, L Yang… - arxiv preprint arxiv …, 2024 - arxiv.org
Multimodal image fusion (MMIF) aims to integrate information from different modalities to
obtain a comprehensive image, aiding downstream tasks. However, existing methods tend …
obtain a comprehensive image, aiding downstream tasks. However, existing methods tend …
Enhancing multimodal medical image analysis with Slice-Fusion: A novel fusion approach to address modality imbalance
Background and objective: In recent times, medical imaging analysis (MIA) has seen an
increasing interest due to its core application in computer-aided diagnosis systems (CADs) …
increasing interest due to its core application in computer-aided diagnosis systems (CADs) …
MSL-CCRN: Multi-stage self-supervised learning based cross-modality contrastive representation network for infrared and visible image fusion
Z Yan, R Nie, J Cao, G **e, Z Ding - Digital Signal Processing, 2025 - Elsevier
Infrared and visible image fusion (IVIF) facing different information in two modal scenarios,
the focus of research is to better extract different information. In this work, we propose a multi …
the focus of research is to better extract different information. In this work, we propose a multi …
[HTML][HTML] FusionU10: enhancing pedestrian detection in low-light complex tourist scenes through multimodal fusion
X Zhou, J Li, Y Li - Frontiers in Neurorobotics, 2025 - pmc.ncbi.nlm.nih.gov
With the rapid development of tourism, the concentration of visitor flows poses significant
challenges for public safety management, especially in low-light and highly occluded …
challenges for public safety management, especially in low-light and highly occluded …