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20242026
most citedTSJNet: A Multi-modality Target and Semantic Awareness Joint-driven Image Fusion Network

25 citations · 48 across the 10 of their papers we have counts for

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10 papers · 1 filter

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025★ 2 cited

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…

cs.CV2025

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…

cs.CV2024★ 25 cited

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…

cs.CV2024★ 1 cited

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…