多模态信息融合

Physics Driven Deep Retinex Fusion for Adaptive Infrared and Visible Image Fusion

Yuanjie Gu, Zhibo Xiao, Yinghan Guan, Haoran Dai, Cheng Liu, Liang Xue, Shouyu Wang

专题命中 红外-可见光融合 ：image fusion(title,abstract)；infrared and visible(title)；分类 cs.CV、eess.IV

Comments 20 pages, 9 figures

Infrared and Visible Image Fusion via Interactive Compensatory Attention Adversarial Learning

Zhishe Wang, Wenyu Shao, Yanlin Chen, Jiawei Xu, Xiaoqin Zhang

专题命中 红外-可见光融合 ：infrared and visible(title,abstract)；image fusion(title)；分类 cs.CV、eess.IV

Comments 13pages,12 figures

Infrared and Visible Image Fusion with Language-Driven Loss in CLIP Embedding Space

红外与可见图像融合中的语言驱动损失在CLIP嵌入空间中

Yuhao Wang, Lingjuan Miao, Zhiqiang Zhou, Lei Zhang, Yajun Qiao

机构 * School of Automation\ Institute of Technology Beijing China ； School of Automation\ Institute of Technology 纠错

专题命中 红外-可见光融合 ：image fusion(title,abstract)；infrared and visible(title)；分类 cs.CV

AI总结 本文提出一种基于语言驱动损失的IVIF方法，利用CLIP嵌入空间实现融合目标与输入图像模态的关系建模，提升融合性能。

Comments Accepted by ACM MM 2025

Dual-Domain Perspective on Degradation-Aware Fusion: A VLM-Guided Robust Infrared and Visible Image Fusion Framework

Tianpei Zhang, Jufeng Zhao, Yiming Zhu, Guangmang Cui

专题命中 红外-可见光融合 ：image fusion(title,abstract)；infrared and visible(title)；分类 cs.CV

FusionCounting: Robust visible-infrared image fusion guided by crowd counting via multi-task learning

He Li, Xinyu Liu, Weihang Kong, Xingchen Zhang

机构 * School of Information Science and Engineering, Yanshan University（燕山大学信息科学与工程学院） ； Fusion Intelligence Laboratory, Department of Computer Science, University of Exeter（埃克塞特大学计算机科学系融合智能实验室） 纠错

专题命中 红外-可见光融合 ：image fusion(title,abstract)；visible-infrared(title)；分类 cs.CV

Comments 11 pages, 9 figures

ATFusion: An Alternate Cross-Attention Transformer Network for Infrared and Visible Image Fusion

Han Yan, Songlei Xiong, Long Wang, Lihua Jian, Gemine Vivone

专题命中 红外-可见光融合 ：infrared and visible(title,abstract)；image fusion(title)；分类 eess.IV

Comments v2 Update: Enhanced version with improved model stability (new augmentation/regularization), added benchmarks (SwinFuse/AEFusion/LRRNet, FMI/SSIM), and RGB-NIR dataset. Updated authorship (H.Yan first, L.Jian corresponding). Under review at Infrared Physics & Technology. Original: arXiv:2401.11675v1

FSATFusion: Frequency-Spatial Attention Transformer for Infrared and Visible Image Fusion

Tianpei Zhang, Jufeng Zhao, Yiming Zhu, Guangmang Cui, Yuhan Lyu

专题命中 红外-可见光融合 ：infrared and visible(title,abstract)；image fusion(title)；分类 cs.CV

OCCO: LVM-guided Infrared and Visible Image Fusion Framework based on Object-aware and Contextual COntrastive Learning

Hui Li, Congcong Bian, Zeyang Zhang, Xiaoning Song, Xi Li, Xiao-Jun Wu

专题命中 红外-可见光融合 ：image fusion(title,abstract)；infrared and visible(title)；分类 cs.CV

MATCNN: Infrared and Visible Image Fusion Method Based on Multi-scale CNN with Attention Transformer

Jingjing Liu, Li Zhang, Xiaoyang Zeng, Wanquan Liu, Jianhua Zhang

专题命中 红外-可见光融合 ：image fusion(title,abstract)；infrared and visible(title)；分类 cs.CV

Infrared and Visible Image Fusion with Hierarchical Human Perception

Guang Yang, Jie Li, Xin Liu, Zhusi Zhong, Xinbo Gao

专题命中 红外-可见光融合 ：image fusion(title,abstract)；infrared and visible(title)；分类 cs.CV

MDLatLRR: A novel decomposition method for infrared and visible image fusion

Hui Li, Xiao-Jun Wu, Josef Kittler

专题命中 红外-可见光融合 ：image fusion(title,abstract)；infrared and visible(title)；分类 cs.CV

Comments IEEE Trans. Image Processing 2020, 14 pages, 17 figures, 3 tables. arXiv admin note: text overlap with arXiv:1804.08992

Infrared and Visible Image Fusion with ResNet and zero-phase component analysis

Hui Li, Xiao-Jun Wu, Tariq S. Durrani

专题命中 红外-可见光融合 ：image fusion(title,abstract)；infrared and visible(title)；分类 cs.CV

Comments 22pages, 9 figures, 7 tables

Journal ref Journal of Infrared Physics & Technology, available online 12 September 2019

SSVIF: Self-Supervised Segmentation-Oriented Visible and Infrared Image Fusion

Zixian Zhao, Xingchen Zhang

机构 * Fusion Intelligence Laboratory, Department of Computer Science, University of Exeter（融合智能实验室，计算机科学系，埃克塞特大学） 纠错

专题命中 红外-可见光融合 ：image fusion(title,abstract)；visible-infrared(abstract)；feature-level fusion(abstract)；分类 cs.CV

Bi-directional Self-Registration for Misaligned Infrared-Visible Image Fusion

Timing Li, Bing Cao, Pengfei Zhu, Bin Xiao, Qinghua Hu

机构 * College of Intelligence and Computing（智能与计算学院） ； Tianjin University（天津大学） ； School of Computer Science and Technology（计算机科学与技术学校） ； Chongqing University of Posts and Telecommunications（重庆邮电大学） 纠错

专题命中 红外-可见光融合 ：image fusion(title,abstract)；multi-modal image fusion(abstract)；visible-infrared(abstract)；分类 cs.CV

Language-Depth Navigated Thermal and Visible Image Fusion

Jinchang Zhang, Zijun Li, Guoyu Lu

专题命中 红外-可见光融合 ：image fusion(title,abstract)；multimodal fusion(abstract)；infrared and visible(abstract)；分类 cs.CV

LLVIP: A Visible-infrared Paired Dataset for Low-light Vision

Xinyu Jia, Chuang Zhu, Minzhen Li, Wenqi Tang, Shengjie Liu, Wenli Zhou

专题命中 红外-可见光融合 ：visible-infrared(title,abstract)；image fusion(abstract)；infrared and visible(abstract)；分类 cs.CV

Comments 10 pages, 11 figures, ICCV workshop

An Interactively Reinforced Paradigm for Joint Infrared-Visible Image Fusion and Saliency Object Detection

Di Wang, Jinyuan Liu, Risheng Liu, Xin Fan

专题命中 红外-可见光融合 ：image fusion(title,abstract)；multimodal image fusion(abstract)；infrared and visible(abstract)；分类 cs.CV

Visible and Near Infrared Image Fusion Based on Texture Information

Guanyu Zhang, Beichen Sun, Yuehan Qi, Yang Liu

专题命中 红外-可见光融合 ：image fusion(title,abstract)；sensor fusion(abstract)；multi-sensor fusion(abstract)；分类 cs.CV

Comments 10 pages,11 figures

Visible and Infrared Image Fusion Using Encoder-Decoder Network

Ferhat Can Ataman, Gözde Bozdaği Akar

专题命中 红外-可见光融合 ：image fusion(title,abstract)；infrared and visible(abstract)；分类 cs.CV、eess.IV

Comments 5 pages, published at ICIP 2021

Journal ref 2021 IEEE International Conference on Image Processing (ICIP), pages 1779-1783, Publication date: 2021/9/19

RFN-Nest: An end-to-end residual fusion network for infrared and visible images

Hui Li, Xiao-Jun Wu, Josef Kittler

专题命中 红外-可见光融合 ：infrared and visible(title,abstract)；image fusion(abstract)；分类 cs.CV；information fusion(comments)

Comments Accepted by Information Fusion. 17 pages, 18 figures, 8 tables

Predictive Failure Detection in Network Hardware Using Thermal Imaging and Deep Learning with Sensor Fusion

基于热成像与传感器融合深度学习的网络硬件预测性故障检测

Ashly Joseph

专题命中 红外-可见光融合 ：sensor fusion(title,abstract)；multi-modal fusion(abstract)；分类 cs.CV

AI总结 该研究提出结合热成像与电源传感器数据的多模态深度学习模型，经ROI预处理后可实现网络硬件早期故障的高精度预测，为数据中心主动维护提供支撑。

Journal ref Proceedings of the 2025 3rd International Conference on Data Science and Network Security (ICDSNS), Tiptur, India, 25-26 July 2025, Institute of Electrical and Electronics Engineers (IEEE), pp. 1-6

MAVFusion: Efficient Infrared and Visible Video Fusion via Motion-Aware Sparse Interaction

MAVFusion: 基于运动感知稀疏交互的高效红外与可见光视频融合

Xilai Li, Weijun Jiang, Xiaosong Li, Yang Liu, Hongbin Wang, Tao Ye, Huafeng Li, Haishu Tan

机构 * Foshan University（佛山大学） ； Kunming University of Science and Technology（昆明理工大学） ； China University of Mining and Technology（中国矿业大学） 纠错

专题命中 红外-可见光融合 ：infrared and visible(title,abstract)；image fusion(abstract)；分类 cs.CV

AI总结 提出MAVFusion端到端视频融合框架，通过运动感知稀疏交互机制，利用光流识别动态区域并分配跨模态注意力，对静态区域使用轻量弱交互模块，在保持时间一致性和细节的同时加速推理，达到14.16 FPS。

Comments Accepted at ECCV 2026

Text-Driven Fusion for Infrared and Visible Images: Achieving Image Scene Adaptation on Hyperbolic Space

红外与可见光图像的文本驱动融合：在双曲空间实现图像场景自适应

Huan Kang, Hui Li, Tianyang Xu, Tao Zhou, Xiao-Jun Wu, Josef Kittler

机构 * University of Science and Technology of China（中国科学技术大学） 纠错

专题命中 红外-可见光融合 ：infrared and visible(title,abstract)；image fusion(abstract)；分类 cs.CV

AI总结 提出一种文本驱动的红外与可见光图像融合框架，利用双曲流形学习嵌入层次语义，通过BLIP文本提示引导视觉-属性对齐，实现无文本输入的自适应融合，性能优于现有方法。

Comments 14 pages, 8 figures

Uncertainty-aware Spatial-Frequency Registration and Fusion for Infrared and Visible Images

具有不确定性的空间-频率配准与融合用于红外和可见图像

Xingyuan Li, Haoyuan Xu, Xingyue Zhu, Jun Ma, Yang Zou, Zhiying Jiang, Jinyuan Liu

机构 * Dalian University of Technology（大连理工大学） ； Northwestern Polytechnical University（西北工业大学） ； Dalian Maritime University（大连海事大学） 纠错

专题命中 红外-可见光融合 ：infrared and visible(title,abstract)；image fusion(abstract)；分类 cs.CV

AI总结 本文提出SFRF框架，通过整合不确定性估计和红外热辐射分布一致性，解决配准误差累积问题，提升空间和频率域的融合效果。

Comments 10 pages, 5 figures, 4 tables

UNIV: Unified Foundation Model for Infrared and Visible Modalities

UNIV：用于红外和可见模态的统一基础模型

Fangyuan Mao, Shuo Wang, Jilin Mei, Shun Lu, Chen Min, Fuyang Liu, Xiaokun Feng, Meiqi Wu, Yu Hu

机构 * Research Center for Intelligent Computing Systems, CAS ICT（智能计算系统研究所以及中国科学院信息科技研究院） ； University of Chinese Academy of Sciences（中国科学院大学） ； Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所） 纠错

专题命中 红外-可见光融合 ：infrared and visible(title,abstract)；visible-infrared(abstract)；分类 cs.CV

AI总结 UNIV通过跨模态对比学习提升红外与可见光感知的鲁棒性，解决模态偏差问题，实验显示在红外任务中表现优异。

CAWM-Mamba: A unified model for infrared-visible image fusion and compound adverse weather restoration

CAWM-Mamba：一种用于红外可见图像融合和复合恶劣天气恢复的统一模型

Huichun Liu, Xiaosong Li, Zhuangfan Huang, Tao Ye, Yang Liu, Haishu Tan

机构 * School of Physics（物理学院） ； Optoelectronic Engineering, Foshan University, Foshan 528225, China（光学电子工程学院，佛山大学，佛山528225，中国） ； Guangdong-HongKong-Macao Joint Laboratory for Intelligent Micro-Nano Optoelectronic Technology, Foshan 528225, China（粤港澳联合智能微纳光电子技术实验室，佛山528225，中国） ； School of Mechanical Electronic（机械电子学院） ； Information Engineering, China University of Mining and Technology, Beijing 100083, China（信息工程学院，中国矿业大学，北京100083，中国） 纠错

专题命中 红外-可见光融合 ：image fusion(title,abstract)；multimodal image fusion(abstract)；分类 cs.CV

AI总结 CAWM-Mamba提出了一种统一模型，用于红外可见图像融合和复合恶劣天气恢复，通过三个关键模块提升多退化场景下的性能。

X-ReID: Multi-granularity Information Interaction for Video-Based Visible-Infrared Person Re-Identification

X-ReID：基于视频的可见-红外人重识别中的多粒度信息交互

Chenyang Yu, Xuehu Liu, Pingping Zhang, Huchuan Lu

专题命中 红外-可见光融合 ：visible-infrared(title,abstract)；information fusion(abstract)；分类 cs.CV

AI总结 X-ReID通过多粒度信息交互和跨模态特征学习，提升视频中可见-红外人重识别的性能。

Comments Accepted by AAAI2026. More modifications may be performed

DDFusion:Degradation-Decoupled Fusion Framework for Robust Infrared and Visible Images Fusion

Tianpei Zhang, Jufeng Zhao, Yiming Zhu, Guangmang Cui, Yuxin Jing

专题命中 红外-可见光融合 ：infrared and visible(title,abstract)；image fusion(abstract)；分类 cs.CV

MAFS: Masked Autoencoder for Infrared-Visible Image Fusion and Semantic Segmentation

Liying Wang, Xiaoli Zhang, Chuanmin Jia, Siwei Ma

机构 * Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University（教育部符号计算与知识工程重点实验室，吉林大学） ； Wangxuan Institute of Computer Technology, Peking University（北京大学王轩计算机技术研究所） ； National Engineering Research Center of Visual Technology, School of Computer Science, Peking University（视觉技术国家工程研究中心，北京大学计算机科学学院） 纠错

专题命中 红外-可见光融合 ：image fusion(title,abstract)；feature-level fusion(abstract)；分类 cs.CV

Comments Accepted by TIP 2025

Faster and Better: Reinforced Collaborative Distillation and Self-Learning for Infrared-Visible Image Fusion

Yuhao Wang, Lingjuan Miao, Zhiqiang Zhou, Yajun Qiao, Lei Zhang

机构 * Yuhao Wang, Lingjuan Miao, Zhiqiang Zhou, Yajun Qiao, Lei Zhang（作者） 纠错

专题命中 红外-可见光融合 ：image fusion(title,abstract)；infrared and visible(abstract)；分类 cs.CV