25 citations · 48 across the 10 of their papers we have counts for
11 papers
IRPol-Fuse: Energy-structure coordination for infrared polarization fusion under low visibility
Zhuangfan Huang, Chusheng Fang, Xiaosong Li +3
Robust perception under low-visibility conditions requires fused imagery that jointly preserves infrared thermal saliency and polarization-derived structural details. However, exis…
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…
NDLPNet: A Location-Aware Nighttime Deraining Network and a Real-World Benchmark Dataset
Huichun Liu, Xiaosong Li, Yang Liu +2
Visual degradation caused by rain streak artifacts in low-light conditions significantly hampers the performance of nighttime surveillance and autonomous navigation. Existing image…
FlexiD-Fuse: Flexible number of inputs multi-modal medical image fusion based on diffusion model
Yushen Xu, Xiaosong Li, Yuchun Wang +3
Different modalities of medical images provide unique physiological and anatomical information for diseases. Multi-modal medical image fusion integrates useful information from dif…
MambaTrans: Multimodal Fusion Image Translation via Large Language Model Priors for Downstream Visual Tasks
Yushen Xu, Xiaosong Li, Zhenyu Kuang +3
The goal of multimodal image fusion is to integrate complementary information from infrared and visible images, generating multimodal fused images for downstream tasks. Existing do…
Simultaneous Tri-Modal Medical Image Fusion and Super-Resolution using Conditional Diffusion Model
Yushen Xu, Xiaosong Li, Yuchan Jie +1
In clinical practice, tri-modal medical image fusion, compared to the existing dual-modal technique, can provide a more comprehensive view of the lesions, aiding physicians in eval…
TSJNet: A Multi-modality Target and Semantic Awareness Joint-driven Image Fusion Network
Yuchan Jie, Yushen Xu, Xiaosong Li +3
This study aims to address the problem of incomplete information in unimodal images for semantic segmentation and object detection tasks. Existing multimodal fusion methods suffer…
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…