arXivDaily arXiv每日学术速递 周一至周五更新

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。

共收录 537 信号源:cs.CV, eess.IV, eess.SP, cs.RO, cs.MM

1. 红外-可见光融合 537 篇

2211.11925 2022-11-23 cs.CV cs.AI 57%

Multimodal Data Augmentation for Visual-Infrared Person ReID with Corrupted Data

Arthur Josi, Mahdi Alehdaghi, Rafael M. O. Cruz, Eric Granger

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

Comments 8 pages of main content, 2 pages of references, 2 pages of supplementary material, 3 figures, WACV 2023 RWS workshop,

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2207.01927 2022-10-17 cs.CV 57%

Drone Detection and Tracking in Real-Time by Fusion of Different Sensing Modalities

Fredrik Svanström, Fernando Alonso-Fernandez, Cristofer Englund

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

Comments Under consideration at Drones

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2208.11014 2022-08-24 cs.CV 57%

Low-Light Video Enhancement with Synthetic Event Guidance

Lin Liu, Junfeng An, Jianzhuang Liu, Shanxin Yuan, Xiangyu Chen, Wengang Zhou, Houqiang Li, Yanfeng Wang, Qi Tian

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

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2205.01595 2022-05-04 cs.CV 57%

A Bidirectional Conversion Network for Cross-Spectral Face Recognition

Zhicheng Cao, Jiaxuan Zhang, Liaojun Pang

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

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2204.04120 2022-04-11 cs.CV 57%

Visible-Thermal UAV Tracking: A Large-Scale Benchmark and New Baseline

Pengyu Zhang, Jie Zhao, Dong Wang, Huchuan Lu, Xiang Ruan

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

Comments to be published in CVPR22. The project is available at https://zhang-pengyu.github.io/DUT-VTUAV/

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2103.14210 2022-02-10 cs.CV 57%

Leaning Compact and Representative Features for Cross-Modality Person Re-Identification

Guangwei Gao, Hao Shao, Fei Wu, Meng Yang, Yi Yu

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

Comments World Wide Web Journal, 20 pages, 6 figures

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2110.03979 2022-01-03 eess.SP cs.LG 57%

MilliTRACE-IR: Contact Tracing and Temperature Screening via mm-Wave and Infrared Sensing

Marco Canil, Jacopo Pegoraro, Michele Rossi

专题命中 红外-可见光融合 :sensor fusion(abstract);分类 eess.SP

Comments 16 pages, 18 figures, 7 tables

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2108.00913 2021-08-05 cs.CV 57%

I2V-GAN: Unpaired Infrared-to-Visible Video Translation

Shuang Li, Bingfeng Han, Zhenjie Yu, Chi Harold Liu, Kai Chen, Shuigen Wang

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

Comments Accepted at ACM MM 2021

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2010.03771 2020-10-09 cs.CV 57%

DBLFace: Domain-Based Labels for NIR-VIS Heterogeneous Face Recognition

Ha Le, Ioannis A. Kakadiaris

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

Comments accepted to IJCB20

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2007.10963 2020-07-22 cs.CV 57%

Recurrent Exposure Generation for Low-Light Face Detection

Jinxiu Liang, Jingwen Wang, Yuhui Quan, Tianyi Chen, Jiaying Liu, Haibin Ling, Yong Xu

专题命中 红外-可见光融合 :multi-exposure(abstract);分类 cs.CV

Comments 11 pages

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2007.02041 2020-07-07 cs.CV 57%

Jointly Modeling Motion and Appearance Cues for Robust RGB-T Tracking

Pengyu Zhang, Jie Zhao, Dong Wang, Huchuan Lu, Xiaoyun Yang

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

Comments 12 pages, 11 figures

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2006.12201 2020-06-23 physics.app-ph cs.CV 57%

Thermal vulnerability detection in integrated electronic and photonic circuits using IR thermography

Bilal Hussain, Bushra Jalil, Maria Antonietta Pascali, Muhammad Imran, Giovanni Serafino, Davide Moroni, Paolo Ghelfi

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

Comments 2020 Optical Society of America. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modifications of the content of this paper are prohibited

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2005.10987 2020-05-25 cs.CV 57%

Investigating Vulnerability to Adversarial Examples on Multimodal Data Fusion in Deep Learning

Youngjoon Yu, Hong Joo Lee, Byeong Cheon Kim, Jung Uk Kim, Yong Man Ro

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

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2003.02204 2020-03-05 cs.CV cs.LG 57%

Robust Perceptual Night Vision in Thermal Colorization

Feras Almasri, Olivier Debeir

专题命中 红外-可见光融合 :pan-sharpening(abstract);分类 cs.CV

Comments 9 pages, 7 figures, VISAPP2020 conference

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2002.10853 2020-02-26 cs.RO 57%

Learning Machines from Simulation to Real World

Tomer Iwan, Oktay Kavi, Erkin Yildirim

专题命中 红外-可见光融合 :sensor fusion(abstract);分类 cs.RO

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1903.01564 2019-05-17 eess.SP 57%

Life detection strategy based on infrared vision and ultra-wideband radar data fusion

Li Yin, Y. M. Zhou

专题命中 红外-可见光融合 :decision-level fusion(abstract);分类 eess.SP

Comments 6 pages, 7 figures, conference

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1901.01370 2019-01-10 cs.CV 57%

Stereoscopic Dark Flash for Low-light Photography

Jian Wang, Tianfan Xue, Jonathan T. Barron, Jiawen Chen

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

Comments 9 pages, 8 figures

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1812.05155 2018-12-14 cs.CV 57%

Synthesis of High-Quality Visible Faces from Polarimetric Thermal Faces using Generative Adversarial Networks

He Zhang, Benjamin S. Riggan, Shuowen Hu, Nathaniel J. Short, Vishal M. Patel

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

Comments Note that the extended dataset is available upon request. Researchers can contact Dr. Sean Hu from ARL at shuowen.hu.civ@mail.mil to obtain the dataset

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1809.00206 2018-09-17 cs.CV 57%

Assessment of iris recognition reliability for eyes affected by ocular pathologies

Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz

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

Comments Manuscript accepted for publication at IEEE BTAS 2015. arXiv admin note: text overlap with arXiv:1809.00168

Journal ref 2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS), Arlington, VA, 2015, pp. 1-6

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1809.00174 2018-09-05 cs.CV 57%

Human Iris Recognition in Post-mortem Subjects: Study and Database

Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz

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

Comments Accepted manuscript version of the BTAS2016 paper

Journal ref 2016 IEEE 8th International Conference on Biometrics Theory, Applications and Systems (BTAS), Niagara Falls, NY, 2016, pp. 1-6

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1809.00168 2018-09-05 cs.CV 57%

Implications of Ocular Pathologies for Iris Recognition Reliability

Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz

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

Comments Image and Vision Computing (2016)

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1804.06248 2018-04-18 cs.CV 57%

PM-GANs: Discriminative Representation Learning for Action Recognition Using Partial-modalities

Lan Wang, Chenqiang Gao, Luyu Yang, Yue Zhao, Wangmeng Zuo, Deyu Meng

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

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2608.20383 2026-08-24 eess.SY cs.AI cs.SY 新提交 50%

Infrared Hotspot-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Under Mechanical Abuse

机械滥用下锂离子电池热失控的红外热点引导预警

Syed Sajid Ullah, Salman Khan, Muhammad Zunair Zamir

专题命中 红外-可见光融合 :multimodal fusion(abstract)

AI总结 针对机械滥用下锂离子电池热失控预警问题,提出两阶段融合红外热点动态与多模态特征的方法,经实验验证可实现更早的预警与更高的ROC-AUC。

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2605.23037 2026-08-19 cs.LG physics.flu-dyn 版本更新 50%

Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy

用于多相输运和热系统数据驱动建模的开放多模态数据集与开源软件

Christy Dunlap, Ridwan Olabiyi, Firas Al-Hindawi, Hari Pandey, Stephen Pierson, Daniel Curl, Braden Stevens, Mohammad Ishraq Hossain, Annapurna Parjuli, Chinmaya Joshi, Ashif Iquebal, Han Hu

机构 * Department of Mechanical Engineering, University of Arkansas(阿肯色大学机械工程系)

专题命中 红外-可见光融合 :multimodal fusion(abstract)

AI总结 本文介绍了一个由NED3实验室开发的开放多模态数据集和开源软件生态系统,提出了空间加时间维度(S+TD)分类框架,并重点描述了SeqReg序列回归库,以推动可复现的AI赋能热流体研究。

Comments Accepted manuscript replacing arXiv:2605.23037 (v1). Substantially expanded from the original preprint and published in Transport Phenomena 2026, 1(3), 20260081. https://doi.org/10.1515/tp-2026-0081

Journal ref Transport Phenomena 2026, 1(3), 20260081

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2608.11779 2026-08-13 astro-ph.EP 新提交 50%

Infrared-to-visible albedo ratio of Phobos: Comparison with primitive asteroids

火卫一的红外-可见光反照率比值:与原始小行星的比较

T. J. Dyer, J. Beccarelli, M. Delbo, C. Avdellidou, M. Pajola, A. Milton, A. Lucchetti, G. Munaretto

专题命中 红外-可见光融合 :infrared and visible(abstract)

AI总结 本研究计算火卫一三个光谱单元的红外-可见光反照率比值,与MP3C中小行星数据对比,发现其值覆盖原始小行星范围,支持火卫一可能起源于小行星的结论。

Comments 9 pages, 3 figures, 1 table, accepted for A&A

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2607.18729 2026-07-22 physics.optics 新提交 50%

Raman-Assisted Multiband Nonlinear Frequency-Conversion Network in a High-Q LTOI Microdisk

高Q值绝缘体上钽酸锂微盘中的拉曼辅助多波段非线性频率转换网络

Zhifan Fang, Yuxuan He, Zhangning Pan, Xianfeng Chen, Yuping Chen

专题命中 红外-可见光融合 :infrared and visible(abstract)

AI总结 研究在高Q值LTOI微盘中实现拉曼辅助多波段非线性频率转换网络,通过谐振泵浦产生高纯度单模拉曼激光,附近泵浦下产生多斯托克斯分量及反斯托克斯线,可产生多波段信号,为集成多波段光源及研究耦合非线性动力学提供了平台。

Comments 11 pages, 5 figures

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2607.14683 2026-07-17 cs.AI 新提交 50%

InCarEmo: A Multimodal Dataset for In-Cabin Emotion Recognition and Driver State Monitoring

InCarEmo:用于车内情感识别和驾驶员状态监测的多模态数据集

Hao Yang, Yanyan Zhao, Kewei Zhao, Hongbo Zhang, Tian Zheng, Yusheng Liu, Xing Fu, Bichen Wang, Yu Zhang, Hao He, Zhen Wu, Xuda Zhi, Yongbo Huang, Bing Qin

机构 * Harbin Institute of Technology(哈尔滨工业大学) SERES(赛力斯)

专题命中 红外-可见光融合 :multimodal fusion(abstract)

AI总结 针对现有车内情感计算数据集局限,引入多模态InCarEmo数据集,整合多种数据支持情感识别、疲劳检测和分心监测等任务,构建中英文基准并给出基线结果,证明多模态融合优势,为车内情感理解奠基,推动人车交互发展。

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2607.14520 2026-07-17 cond-mat.stat-mech cs.NE 新提交 50%

Moment-Resolved Readout and Reservoir Diversity in Nonequilibrium Langevin Computing

非平衡朗之万计算中的矩分辨读出与储层多样性

JiZheng Duan, MingYang Zhao, YanWei Chen, Lei Yang

专题命中 红外-可见光融合 :feature-level fusion(abstract)

AI总结 研究基于朗之万动力学的非线性热力学计算机,将读出范式从均值扩展到矩分辨,引入异构多储层架构,通过特征级融合在MNIST数据再现中取得高准确率,为有限时间朗之万计算提供候选设计原则。

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2607.03563 2026-07-07 physics.optics 新提交 50%

Half-wave plasmonic nanolasers near the localization limit

接近局域极限的半波等离子体纳米激光器

Sangyeon Cho, Seok-Hyun Yun

专题命中 红外-可见光融合 :infrared and visible(abstract)

AI总结 研究在超光滑金衬底上用高增益磷化铟纳米颗粒实现接近表面等离子体共振的半波模式激光,通过模拟估计最小激光粒子尺寸,观察不同粒子的激光特性,推动激光小型化至等离子体局域极限。

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2606.29652 2026-06-30 cs.IR 50%

As We May Search

如我们可能搜索

Saber Zerhoudi, Adam Roegiest, Jelena Mitrovic, Michael Granitzer

专题命中 红外-可见光融合 :hybrid fusion(abstract)

AI总结 针对个人文档等敏感信息搜索中的隐私问题,提出本地优先信息检索(local-first IR)设计理念,通过将索引、模型和推理置于用户设备上,在消费级硬件上实现与云端相当的性能,并指出真正的权衡在于搜索范围而非质量。

Journal ref Proceedings of the 2026 International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval (ICTIR'26), July 25, 2026, Melbourne, VIC, Australia

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