视觉与机器人

多模态信息融合

面向图像、视频、多传感器和跨模态感知的信息融合，包括 Image Fusion、红外可见光、遥感、医学影像、LiDAR/雷达/相机和音视频融合。

2025-10-20 至 2025-10-20 共收录 9 篇信号源：cs.CV, eess.IV, eess.SP, cs.RO, cs.MM

1. 通用Image Fusion 3 篇

2510.15589 2025-10-20 cs.CV stat.CO 79%

Standardization for improved Spatio-Temporal Image Fusion

Harkaitz Goyena, Peter M. Atkinson, Unai Pérez-Goya, M. Dolores Ugarte

机构 * Department of Statistics, Computer Science and Mathematics（统计、计算机科学与数学系）； Public University of Navarre（纳瓦拉公共大学）； InaMat$^2$ Institute（InaMat²研究所）； Lancaster Environment Centre（兰卡斯特环境中心）

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

2505.14714 2025-10-20 cs.CV cs.AI cs.CL 57%

KGAlign: Joint Semantic-Structural Knowledge Encoding for Multimodal Fake News Detection

Tuan-Vinh La, Minh-Hieu Nguyen, Minh-Son Dao

专题命中通用Image Fusion ：multi-modal fusion(abstract)；分类 cs.CV

Comments Withdrawn by the authors due to lack of explicit agreement from all co-authors to post this version publicly on arXiv

2510.15659 2025-10-20 eess.AS 50%

Magnitude and Phase-based Feature Fusion Using Co-attention Mechanism for Speaker recognition

Rongfeng Su, Mengjie Du, Xiaokang Liu, Lan Wang, Nan Yan

专题命中通用Image Fusion ：feature-level fusion(abstract)

2. 遥感融合与全色锐化 1 篇

2504.19136 2025-10-20 cs.CV cs.AI eess.IV 62%

PAD: Phase-Amplitude Decoupling Fusion for Multi-Modal Land Cover Classification

Huiling Zheng, Xian Zhong, Bin Liu, Yi Xiao, Bihan Wen, Xiaofeng Li

机构 * Sanya Science and Education Innovation Park, Wuhan University of Technology, Sanya 572025, China（武汉理工大学三亚科学教育创新园）； School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan 430070, China（武汉理工大学计算机科学与人工智能学院）； Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China（中国科学院海洋循环与波浪重点实验室）； Hubei Key Laboratory of Transportation Internet of Things, School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan 430070, China（湖北省交通物联网重点实验室）； State Key Laboratory of Maritime Technology and Safety, Wuhan University of Technology, Wuhan 430063, China（武汉理工大学航海技术与安全国家重点实验室）； College of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai 201306, China（上海海洋大学海洋科学与生态学院）； School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou 450001, China（郑州大学计算机与人工智能学院）； Rapid-Rich Object Search Lab, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798（南洋理工大学电子与电气工程学院）

专题命中遥感融合与全色锐化：multi-modal fusion(abstract)；分类 cs.CV、eess.IV

Comments 14 pages, 8 figures

3. 医学影像融合 1 篇

2510.02000 2025-10-20 eess.SP cs.SY eess.SY 57%

Wearable and Ultra-Low-Power Fusion of EMG and A-Mode US for Hand-Wrist Kinematic Tracking

Giusy Spacone, Sebastian Frey, Mattia Orlandi, Pierangelo Maria Rapa, Victor Kartsch, Simone Benatti, Luca Benini, Andrea Cossettini

专题命中医学影像融合：sensor fusion(abstract)；分类 eess.SP

Comments 5 pages, 3 figures

4. 机器人多传感器融合 2 篇

2510.15547 2025-10-20 cs.AI cs.ET cs.LG cs.SY eess.SP eess.SY 79%

Hypergraph Contrastive Sensor Fusion for Multimodal Fault Diagnosis in Induction Motors

Usman Ali, Ali Zia, Waqas Ali, Umer Ramzan, Abdul Rehman, Muhammad Tayyab Chaudhry, Wei Xiang

专题命中机器人多传感器融合：sensor fusion(title,abstract)；分类 eess.SP

Comments Submitted to IEEE Sensors Journal

2510.15220 2025-10-20 cs.RO 57%

LVI-Q: Robust LiDAR-Visual-Inertial-Kinematic Odometry for Quadruped Robots Using Tightly-Coupled and Efficient Alternating Optimization

Kevin Christiansen Marsim, Minho Oh, Byeongho Yu, Seungjae Lee, I Made Aswin Nahrendra, Hyungtae Lim, Hyun Myung

机构 * School of Electrical Engineering, KAIST (Korea Advanced Institute of Science and Technology)（韩国科学技术院电子工程学院）； URobotics Corp.（URobotics公司）

专题命中机器人多传感器融合：sensor fusion(abstract)；分类 cs.RO

Comments 8 Pages, 9 Figures

Journal ref IEEE Robotics and Automation Letters, vol. 10, no. 10, pp. 10050-10057, Oct. 2025

5. 融合架构与评测 2 篇

2510.15026 2025-10-20 cs.CV 57%

MOBIUS: Big-to-Mobile Universal Instance Segmentation via Multi-modal Bottleneck Fusion and Calibrated Decoder Pruning

Mattia Segu, Marta Tintore Gazulla, Yongqin Xian, Luc Van Gool, Federico Tombari

机构 * Google（谷歌）； ETH Zurich（苏黎世联邦理工学院）； INSAIT, Sofia University, St. Kliment Ohridski（INSAIT，索菲亚大学，圣克莱孟·奥赫里茨基）

专题命中融合架构与评测：multi-modal fusion(abstract)；分类 cs.CV

Comments ICCV 2025

2510.15422 2025-10-20 stat.ML cs.LG 50%

Information Theory in Open-world Machine Learning Foundations, Frameworks, and Future Direction

Lin Wang

机构 * Shenzhen Key Laboratory of Neuropsychiatric Modulation（深圳心理行为调控重点实验室）； Shenzhen-Hong Kong Institute of Brain Science（深圳-香港脑科学研究院）； Shenzhen Institutes of Advanced Technology（深圳先进技术研究院）； Chinese Academy of Sciences（中国科学院）

专题命中融合架构与评测：information fusion(abstract)