多模态信息融合

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

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

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/

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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)

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

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

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

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） 纠错

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。

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。

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。

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

Asymmetry-Aware Routing for Industrial Multimodal Monitoring: A Diagnostic Framework

面向工业多模态监测的非对称感知路由：一个诊断框架

Sungwoo Kang

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

AI总结 提出非对称感知路由框架，通过三步诊断（单模态性能差距、门权重归因、模态损坏测试）决定多模态融合策略，在三个数据集上验证了其有效性。

Comments A subsequent extension of this analysis to a larger corpus found that the heterogeneity predictor is collinear with the industrial-versus-general domain split, so the corresponding effect is not identifiable on the available data

Widely tunable optical parametric oscillation and visible light generation in 4H-SiC microresonators

4H-SiC微谐振器中宽可调谐光学参量振荡和可见光产生

Yongsheng Wang, Shuangyou Zhang, Yurong Ren, Paolo Leonelli, Mingjun Chi, Haiyan Ou

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

AI总结 通过色散工程在4H-SiC微谐振器中实现近一个倍频程的宽分离光学参量振荡，并利用级联二次谐波和和频产生产生可见光，展示了4H-SiC在非线性波长转换中的潜力。

Machine Learning-Driven Multimodal Spectroscopic Liquid Biopsy for Early Multicancer Detection

基于机器学习的多模态光谱学液体活检用于早期多癌种检测

Alejandro Leonardo García Navarro, Javier Cachón Ortiz, Javier González Colsa, Samuel García Díaz, Carlos Viadero Valderrama

机构 * Signal Processing Group（信号处理组） ； Gregorio Marañón Health Research Institute（格雷戈里奥·马兰农健康研究中心） ； Amber Health Solutions（艾默健康解决方案） 纠错

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

AI总结 本文提出结合FTIR、拉曼和EEM荧光光谱的多模态液体活检框架，利用机器学习方法实现多癌种早期检测，实验显示多模态融合在ROC-AUC和灵敏度特异度上表现最优。

Plasmonic Nanoparticle-in-nanoslit Antenna as Independently Tunable Dual-Resonant Systems for Efficient Frequency Upconversion

等离子体纳米粒子-纳米沟槽天线作为独立可调双共振系统，用于高效频率上转换

Huatian Hu, Zhiwei Hu, Christophe Galland, Wen Chen

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

AI总结 本文研究了等离子体纳米粒子-纳米沟槽天线的双共振特性，通过独立调节中红外和可见光共振，提升非线性过程效率，发现新的共振模式以增强上转换效率。

Comments 29 pages, 5 figures, v2

Journal ref Advanced Optical Materials (2025) 13, 29, e01674