机构
*
Ningbo Key Laboratory of Spatial Intelligence and Digital Derivative, Institute of Digital Twin, EIT, Ningbo(宁波空间智能与数字衍生关键实验室,数字孪生研究院,EIT,宁波)
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Shanghai Jiao Tong University(上海交通大学)
;
Hong Kong Polytechnic University(香港理工大学)
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Meituan Inc.(美团公司)
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National University of Singapore(新加坡国立大学)
ProtoMol: Enhancing Molecular Property Prediction via Prototype-Guided Multimodal Learning
Yingxu Wang, Kunyu Zhang, Jiaxin Huang, Nan Yin, Siwei Liu, Eran Segal
机构
*
MBZUAI(穆扎芬人工智能研究所)
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University of Zhengzhou(郑州大学)
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HKUST(香港科技大学)
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University of Aberdeen(爱丁堡大学)
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MBZUAI, Weizmann Institute of Science(穆扎芬人工智能研究所、威斯曼科学研究所)
Enhancing Osteoporosis Detection: An Explainable Multi-Modal Learning Framework with Feature Fusion and Variable Clustering
Mehdi Hosseini Chagahi, Saeed Mohammadi Dashtaki, Niloufar Delfan, Nadia Mohammadi, Farshid Rostami Pouria, Behzad Moshiri, Md. Jalil Piran, Oliver Faust
机构
*
School of Electrical and Computer Engineering, College of Engineering, University of Tehran(塔里班大学电气与计算机工程学院)
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Department of Epidemiology, Shiraz University of Medical Science(谢尔兹医学科学大学流行病学系)
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Department of Computer Science and Engineering, Sejong University(世宗大学计算机科学与工程系)
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School of Computing and Information Science, Anglia Ruskin University(安格利亚 Ruskin 大学计算与信息科学学院)
CommentsAccepted and presented at the 2025 International Joint Conference on Neural Networks (IJCNN'25). The paper was awarded an honorable mention (best 4 papers)
Lyapunov-Stable Adaptive Control for Multimodal Concept Drift
Tianyu Bell Pan, Mengdi Zhu, Alexa Jordyn Cole, Ronald Wilson, Damon L. Woodard
机构
*
Department of Electrical and Computer Engineering(电气与计算机工程系)
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Florida Institute of National Security(佛罗里达国家安全研究所)
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Applied Artificial Intelligence Group(应用人工智能组)
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University of Florida(佛罗里达大学)
FSRF: Factorization-guided Semantic Recovery for Incomplete Multimodal Sentiment Analysis
Ziyang Liu, Pengjunfei Chu, Shuming Dong, Chen Zhang, Mingcheng Li, Jin Wang
机构
*
School of Future Science and Engineering, Soochow University(苏州大学未来科学与工程学院)
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School of Advanced Manufacturing Engineering, Hefei University(合肥大学先进制造工程学院)
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College of Global Talents, BITZH, Beijing Institute of Technology(北京理工大学珠海学院全球人才学院)
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Academy for Engineering and Technology, Fudan University(复旦大学工程与技术学院)
专题命中
多模态训练与对齐
:multimodal(title,abstract)
Comments6 pages,3 figures
Journal refIn Proceedings of the IEEE International Conference on Multimedia and Expo (ICME 2025)
Robust Anomaly Detection through Multi-Modal Autoencoder Fusion for Small Vehicle Damage Detection
Sara Khan, Mehmed Yüksel, Frank Kirchner
机构
*
Faculty of Mathematics and Computer Science, University of Bremen(数学与计算机科学学院,不莱梅大学)
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Robotics Innovation Center, Deutsches Forschungszentrum für Künstliche Intelligenz(机器人创新中心,德国人工智能研究中心)
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Engineering Software Communication, Robert Bosch GmbH(工程软件通信,罗伯特·博世有限公司)
专题命中
多模态训练与对齐
:multi-modal(title,abstract)
Comments17 pages, 12 figures, submitted to Elsevier MLWA
OneProt: Towards Multi-Modal Protein Foundation Models
Klemens Flöge, Srisruthi Udayakumar, Johanna Sommer, Marie Piraud, Stefan Kesselheim, Vincent Fortuin, Stephan Günneman, Karel J van der Weg, Holger Gohlke, Erinc Merdivan, Alina Bazarova
PhysioWave: A Multi-Scale Wavelet-Transformer for Physiological Signal Representation
Yanlong Chen, Mattia Orlandi, Pierangelo Maria Rapa, Simone Benatti, Luca Benini, Yawei Li
机构
*
IIS, ETH Zurich(苏黎世联邦理工学院智能信息系统实验室)
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DEI, University of Bologna(博洛尼亚大学电子工程学院)
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DIEF, University of Modena and Reggio Emilia(摩德纳和雷吉奥艾米利亚大学经济工程学院)
专题命中
多模态训练与对齐
:multi-modal(abstract);分类 cs.AI
Comments43 pages, 17 figures, 17 tables. Accepted by NeurIPS 2025. Code and data are available at: github.com/ForeverBlue816/PhysioWave
I2I-Mamba: Multi-modal medical image synthesis via selective state space modeling
Omer F. Atli, Bilal Kabas, Fuat Arslan, Arda C. Demirtas, Mahmut Yurt, Onat Dalmaz, Tolga Çukur
机构
*
Department of Electrical and Electronics Engineering, and National Magnetic Resonance Research Center, Bilkent University(电子工程系和国家磁共振研究中心,比尔肯特大学)
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Department of Electrical Engineering, Stanford University(电气工程系,斯坦福大学)
Comments6 pages, 5 figures. Presented at IEEE CICT 2024. The paper discusses the application of multimodal data and training strategies in EEG-based brain activity classification
Journal ref2024 IEEE 8th Int. Conf. on Info. and Comm. Tech. (CICT), pp. 1-6