38 citations · 42 across the 8 of their papers we have counts for
10 papers
Multi-modality Image Fusion under Adverse Weather: Mask-Guided Feature Restoration and Interaction
Xilai Li, Xiaosong Li, Haishu Tan +3
Multi-modality image fusion (MMIF) enhances scene representation by exploiting complementary cues from different modalities. Adverse weather, however, causes significant image degr…
MAVFusion: Efficient Infrared and Visible Video Fusion via Motion-Aware Sparse Interaction
Xilai Li, Weijun Jiang, Xiaosong Li +5
Infrared and visible video fusion combines the object saliency from infrared images with the texture details from visible images to produce semantically rich fusion results. Howeve…
CAWM-Mamba: A unified model for infrared-visible image fusion and compound adverse weather restoration
Huichun Liu, Xiaosong Li, Zhuangfan Huang +3
Multimodal Image Fusion (MMIF) integrates complementary information from various modalities to produce clearer and more informative fused images. MMIF under adverse weather is part…
A Luminance-Aware Multi-Scale Network for Polarization Image Fusion with a Multi-Scene Dataset
Zhuangfan Huang, Xiaosong Li, Gao Wang +3
Polarization image fusion combines S0 and DOLP images to reveal surface roughness and material properties through complementary texture features, which has important applications i…
FS-Diff: Semantic guidance and clarity-aware simultaneous multimodal image fusion and super-resolution
Yuchan Jie, Yushen Xu, Xiaosong Li +3
As an influential information fusion and low-level vision technique, image fusion integrates complementary information from source images to yield an informative fused image. A few…
AWM-Fuse: Multi-Modality Image Fusion for Adverse Weather via Global and Local Text Perception
Xilai Li, Huichun Liu, Xiaosong Li +3
Multi-modality image fusion (MMIF) in adverse weather aims to address the loss of visual information caused by weather-related degradations, providing clearer scene representations…
MMA-UNet: A Multi-Modal Asymmetric UNet Architecture for Infrared and Visible Image Fusion
Jingxue Huang, Xilai Li, Tianshu Tan +2
Multi-modal image fusion (MMIF) maps useful information from various modalities into the same representation space, thereby producing an informative fused image. However, the exist…
UMCFuse: A Unified Multiple Complex Scenes Infrared and Visible Image Fusion Framework
Xilai Li, Xiaosong Li, Tianshu Tan +2
Infrared and visible image fusion has emerged as a prominent research area in computer vision. However, little attention has been paid to the fusion task in complex scenes, leading…
SAMF: Small-Area-Aware Multi-focus Image Fusion for Object Detection
Xilai Li, Xiaosong Li, Haishu Tan +1
Existing multi-focus image fusion (MFIF) methods often fail to preserve the uncertain transition region and detect small focus areas within large defocused regions accurately. To a…
Bridging the Gap between Multi-focus and Multi-modal: A Focused Integration Framework for Multi-modal Image Fusion
Xilai Li, Xiaosong Li, Tao Ye +3
Multi-modal image fusion (MMIF) integrates valuable information from different modality images into a fused one. However, the fusion of multiple visible images with different focal…