多模态信息融合

Model Confidence-Guided Multi-Image Fusion of Fundus Images for Diabetic Retinopathy Diagnosis

模型置信度引导的多图像融合眼底图像糖尿病视网膜病变诊断方法

Ananya Raghu, Anisha Raghu, Alice S. Tang, Yannis M. Paulus, Tyson N. Kim, Tomiko T. Oskotsky

机构 * Massachusetts Institute of Technology（麻省理工学院） ； Wilmer Eye Institute, Department of Ophthalmology, Johns Hopkins University（约翰霍普金斯大学威尔默眼科研究所） ； Department of Biomedical Engineering, Johns Hopkins University（约翰霍普金斯大学生物医学工程系） ； Bakar Computational Health Sciences Institute, University of California San Francisco（加州大学旧金山分校巴卡计算健康科学研究所） ； Department of Ophthalmology, University of California San Francisco（加州大学旧金山分校眼科系） ； Division of Clinical Informatics and Digital Transformation, University of California San Francisco（加州大学旧金山分校临床信息学与数字化转型 division） 纠错

专题命中 通用Image Fusion ：image fusion(title,abstract)；分类 cs.CV、eess.IV

AI总结 针对资源有限地区糖网病早期筛查需求，提出置信度引导的多图像融合框架，整合多眼底视图提升诊断置信度与准确率，性能优于传统图像质量级联流水线，适配低延迟移动筛查场景。

Rethinking Few-Shot Image Fusion: Granular Ball Priors Enable General-Purpose Deep Fusion

重新思考少样本图像融合：粒度球先验使通用深度融合成为可能

Minjie Deng, Yan Wei, An Wu, Yuncan Ouyang, Hao Zhai, Qianyao Peng

专题命中 通用Image Fusion ：image fusion(title,abstract)；分类 cs.CV、eess.IV

AI总结 本文提出粒度球先验方法，通过自适应损失函数实现少样本图像融合，提升融合质量和模型效率。

Residual Prior-driven Frequency-aware Network for Image Fusion

Guan Zheng, Xue Wang, Wenhua Qian, Peng Liu, Runzhuo Ma

机构 * The School of Information Science and Engineering, Yunnan University（云南大学信息科学与工程学院） ； The Department of Electrical and Electronic Engineering, Hong Kong Polytechnic University（香港理工大学电子与电气工程系） 纠错

专题命中 通用Image Fusion ：image fusion(title,abstract)；分类 cs.CV、cs.MM

Enhance Vision-based Tactile Sensors via Dynamic Illumination and Image Fusion

Artemii Redkin, Zdravko Dugonjic, Mike Lambeta, Roberto Calandra

专题命中 通用Image Fusion ：image fusion(title,abstract)；分类 cs.CV、cs.RO

Comments 8 pages

3-D Image-to-Image Fusion in Lightsheet Microscopy by Two-Step Adversarial Network: Contribution to the FuseMyCells Challenge

Marek Wodzinski, Henning Müller

专题命中 通用Image Fusion ：image fusion(title,abstract)；分类 cs.CV、eess.IV

Advancements in Real-Time Oncology Diagnosis: Harnessing AI and Image Fusion Techniques

Leila Bagheriye, Johan Kwisthout

专题命中 通用Image Fusion ：image fusion(title,abstract)；分类 cs.CV、eess.IV

Comments This paper is under review

Local Flaw Detection with Adaptive Pyramid Image Fusion Across Spatial Sampling Resolution for SWRs

Siyu You, Huayi Gou, Leilei Yang, Zhiliang Liu, Mingjian Zuo

专题命中 通用Image Fusion ：image fusion(title,abstract)；分类 eess.IV、eess.SP

Comments Submitted to IEEE Sensors Journal for possible publication

Depth and Image Fusion for Road Obstacle Detection Using Stereo Camera

Oleg Perezyabov, Mikhail Gavrilenkov, Ilya Afanasyev

专题命中 通用Image Fusion ：image fusion(title,abstract)；分类 cs.CV、cs.MM

Comments 8 pages, 15 figures

FusionMamba: Efficient Remote Sensing Image Fusion with State Space Model

Siran Peng, Xiangyu Zhu, Haoyu Deng, Liang-Jian Deng, Zhen Lei

专题命中 通用Image Fusion ：image fusion(title,abstract)；分类 cs.CV、eess.IV

Comments Published in: IEEE Transactions on Geoscience and Remote Sensing (Early Access)

Conditional Controllable Image Fusion

Bing Cao, Xingxin Xu, Pengfei Zhu, Qilong Wang, Qinghua Hu

专题命中 通用Image Fusion ：image fusion(title,abstract)；分类 cs.CV、eess.IV

Comments Accepted by NeurIPS 2024

Real HSI-MSI-PAN image dataset for the hyperspectral/multi-spectral/panchromatic image fusion and super-resolution fields

Shuangliang Li

专题命中 通用Image Fusion ：image fusion(title,abstract)；分类 cs.CV、eess.IV

MM-Gaussian: 3D Gaussian-based Multi-modal Fusion for Localization and Reconstruction in Unbounded Scenes

Chenyang Wu, Yifan Duan, Xinran Zhang, Yu Sheng, Jianmin Ji, Yanyong Zhang

专题命中 通用Image Fusion ：multi-modal fusion(title,abstract)；分类 cs.CV、cs.RO

Comments 7 pages, 5 figures

UFO: Uncertainty-aware LiDAR-image Fusion for Off-road Semantic Terrain Map Estimation

Ohn Kim, Junwon Seo, Seongyong Ahn, Chong Hui Kim

专题命中 通用Image Fusion ：image fusion(title,abstract)；分类 cs.CV、cs.RO

Cross-modality Attention-based Multimodal Fusion for Non-small Cell Lung Cancer (NSCLC) Patient Survival Prediction

Ruining Deng, Nazim Shaikh, Gareth Shannon, Yao Nie

专题命中 通用Image Fusion ：multimodal fusion(title,abstract)；分类 cs.CV、eess.IV

Point cloud-based registration and image fusion between cardiac SPECT MPI and CTA

Shaojie Tang, Penpen Miao, Xingyu Gao, Yu Zhong, Dantong Zhu, Haixing Wen, Zhihui Xu, Qiuyue Wei, Hongping Yao, Xin Huang, Rui Gao, Chen Zhao, Weihua Zhou

专题命中 通用Image Fusion ：image fusion(title,abstract)；分类 cs.CV、eess.IV

Learned Image Reasoning Prior Penetrates Deep Unfolding Network for Panchromatic and Multi-Spectral Image Fusion

Man Zhou, Jie Huang, Naishan Zheng, Chongyi Li

专题命中 通用Image Fusion ：image fusion(title)；pan-sharpening(abstract)；分类 cs.CV、eess.IV

Comments 10 pages; Accepted by ICCV 2023

DDRF: Denoising Diffusion Model for Remote Sensing Image Fusion

ZiHan Cao, ShiQi Cao, Xiao Wu, JunMing Hou, Ran Ran, Liang-Jian Deng

专题命中 通用Image Fusion ：image fusion(title,abstract)；分类 cs.CV、eess.IV

Self-Supervised 2D/3D Registration for X-Ray to CT Image Fusion

Srikrishna Jaganathan, Maximilian Kukla, Jian Wang, Karthik Shetty, Andreas Maier

专题命中 通用Image Fusion ：image fusion(title,abstract)；分类 cs.CV、eess.IV

Comments Accepted at WACV 2023

Deep Learning for Multi-View Ultrasonic Image Fusion

Georgios Pilikos, Lars Horchens, Tristan van Leeuwen, Felix Lucka

专题命中 通用Image Fusion ：image fusion(title,abstract)；分类 eess.IV、eess.SP

Journal ref 2021 IEEE International Ultrasonics Symposium (IUS)

Reliable Liver Fibrosis Assessment from Ultrasound using Global Hetero-Image Fusion and View-Specific Parameterization

Bowen Li, Ke Yan, Dar-In Tai, Yuankai Huo, Le Lu, Jing Xiao, Adam P. Harrison

专题命中 通用Image Fusion ：image fusion(title,abstract)；分类 cs.CV、eess.IV

Comments 10 pages, MICCAI 2020

Interpretable multimodal fusion networks reveal mechanisms of brain cognition

Wenxing Hu, Xianghe Meng, Yuntong Bai, Aiying Zhang, Biao Cai, Gemeng Zhang, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang

专题命中 通用Image Fusion ：multimodal fusion(title,abstract)；分类 cs.CV、eess.IV

Image Fusion Technologies In Commercial Remote Sensing Packages

Firouz Abdullah Al-Wassai, N. V. Kalyankar

专题命中 通用Image Fusion ：image fusion(title,abstract)；分类 cs.CV

Comments Keywords: Commercial Processing Systems, Image Fusion, quality evaluation

Journal ref Journal of Global Research in Computer Science, 4 (5), May 2013, 44-50

The IHS Transformations Based Image Fusion

Firouz Abdullah Al-Wassai, N. V. Kalyankar, Ali A. Al-Zuky

专题命中 通用Image Fusion ：image fusion(title,abstract)；分类 cs.CV

Comments Image Fusion, Color Models, IHS, HSV, HSL, YIQ, transformations

Journal ref Journal-ref: International Journal of Advanced Research in Computer Science,Volume 2, No. 5, Sept-Oct 2011,www.ijarcs.info

Arithmetic and Frequency Filtering Methods of Pixel-Based Image Fusion Techniques

Firouz Abdullah Al-Wassai, N. V. Kalyankar, Ali A. Al-Zuky

专题命中 通用Image Fusion ：image fusion(title,abstract)；分类 cs.CV

Comments Image Fusion, Pixel-Based Fusion, Brovey Transform, Color Normalized, High-Pass Filter, Modulation, Wavelet transform

Journal ref Journal-ref: International Journal of Advanced Research in Computer Science,Volume 2, No. 5, Sept-Oct 2011,www.ijarcs.info

Unleashing the Power of Text: Text-Guided Flow Matching for Image Fusion under Complex Degradations

释放文本的力量：面向复杂退化场景的文本引导流匹配图像融合

Axi Niu, Jieheng Li, Kang Zhang, Qingsen Yan, Jinqiu Sun, Yanning Zhang

专题命中 通用Image Fusion ：image fusion(title,abstract)；分类 cs.CV

AI总结 针对复杂退化下红外-可见光图像融合的挑战，提出文本引导的TGFusion框架，通过多流联合流Transformer实现动态文本引导，在多类退化场景下取得优异融合性能。

Comments 12 pages, 9 figures, including supplementary material

Multi-modality Image Fusion under Adverse Weather: Mask-Guided Feature Restoration and Interaction

恶劣天气下的多模态图像融合：掩码引导的特征恢复与交互

Xilai Li, Xiaosong Li, Haishu Tan, Tao Ye, Huafeng Li, Hongbin Wang

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

专题命中 通用Image Fusion ：image fusion(title,abstract)；分类 cs.CV

AI总结 提出一种掩码引导的多模态图像融合方法，通过伪真实标签和掩码生成机制同时实现特征恢复与跨模态交互，在合成和真实数据集上超越现有方法。

Comments Accepted at ECCV 2026

Nonlinear Spectral Image Fusion

非线性频谱图像融合

Martin Benning, Michael Möller, Raz Z. Nossek, Martin Burger, Daniel Cremers, Guy Gilboa, Carola-Bibiane Schönlieb

专题命中 通用Image Fusion ：image fusion(title,abstract)；分类 cs.CV

AI总结 本文展示基于总变分正则化的非线性频谱分解框架在图像融合及更广泛的图像处理任务中的有效性，通过选择特定图像的频率转移特征如面部皱纹，实现图像编辑。

Comments 13 pages, 9 figures, submitted to SSVM conference proceedings 2017

Adaptive 3D Convolution for Remote Sensing Image Fusion

自适应3D卷积用于遥感图像融合

Siran Peng, Xiangyu Zhu, Shang-Qi Deng, Liang-Jian Deng, Zhen Lei

机构 * State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences（多模态人工智能系统国家重点实验室，自动化研究所，中国科学院） ； School of Artificial Intelligence, University of Chinese Academy of Sciences（中国科学院大学人工智能学院） ； School of Mathematical Sciences/Multi-Hazard Early Warning Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China（数学科学学院/四川省多灾种早期预警重点实验室，电子科技大学） ； Centre for Artificial Intelligence and Robotics, Hong Kong Institute of Science and Innovation, Chinese Academy of Sciences（人工智能与机器人中心，香港科学院，中国科学院） 纠错

专题命中 通用Image Fusion ：image fusion(title,abstract)；分类 cs.CV

AI总结 本文提出自适应3D卷积方法，通过生成内容感知的3D卷积核，有效整合空间和光谱信息，提升遥感图像融合的精度与效率。

Comments Accepted by IEEE Transactions on Image Processing (TIP), Early Access, 2026

Multi-Branch Non-Homogeneous Image Dehazing via Concentration Partitioning and Image Fusion

多分支非均匀图像去雾 via 浓度分区和图像融合

Yingming Zhang, Wuqi Su, Qing Xiao, Yonggang Yang

机构 * School of Software and Internet of Things Engineering, Zhejiang Gongshang University（软件与物联网工程学院，浙江工商大学） ； School of Computer Science and Technology, Tiangong University（计算机科学与技术学院，天工大学） 纠错

专题命中 通用Image Fusion ：image fusion(title,abstract)；分类 cs.CV

AI总结 本文提出CPIFNet网络，通过将非均匀去雾问题分解为多个均匀子问题，结合图像增强和融合技术，提升复杂场景下的去雾效果。

LaMI: Augmenting Large Language Models via Late Multi-Image Fusion

LaMI：通过晚期多图像融合增强大型语言模型

Guy Yariv, Idan Schwartz, Yossi Adi, Sagie Benaim

机构 * The Hebrew University of Jerusalem（耶路撒冷希伯来大学） ； Bar-Ilan University（巴伊兰大学） 纠错

专题命中 通用Image Fusion ：image fusion(title,abstract)；分类 cs.CV

AI总结 LaMI通过在测试时融合多个图像提升视觉常识推理能力，同时保持文本推理性能，适用于视觉和NLP任务。

Comments Accepted to ACL 2026