[image 05266] [CFP] 国際ワークショップThe 3rd International Workshop on Multimodal Human Understanding for the Web and Social Media @ ACM ICMR 2024開催のご案内

[Marc A. Kastner]

Image-MLの皆様

お世話になっております。京都大学のマークと申します。

国際ワークショップ3rd International Workshop on Multimodal Human Understanding for the Web and Social Media (MUWS2024) @ ACM ICMR 2024の開催案内を送らせていただきます。

詳細は下記のホームページまたは添付のCFP案内を参照してください。
https://muws-workshop.github.io

投稿締め切りは4月7日です。奮って投稿していただければ幸いです。
質問などがあれば気軽にマークまでお問い合わせください。

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(Apologies for possible cross-posting)
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    CALL FOR PAPERS
    MUWS 2024 - The 3rd International Workshop on Multimodal Human Understanding for the Web and Social Media
    co-located with International Conference on Multimedia Retrieval (ICMR) 2024 in Phuket, Thailand.

    June 10 2024, Phuket, Thailand
    More Info: https://muws-workshop.github.io/
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    Aim and Scope

    Multimodal human understanding and analysis is an emerging research area that cuts through several disciplines like Computer Vision, Natural Language Processing (NLP), Speech Processing, Human-Computer Interaction, and Multimedia. Several multimodal learning techniques have recently shown the benefit of combining multiple modalities in image-text, audio-visual and video representation learning and various downstream multimodal tasks. At the core, these methods focus on modelling the modalities and their complex interactions by using large amounts of data, different loss functions and deep neural network architectures. However, for many Web and Social media applications, there is the need to model the human, including the understanding of human behaviour and perception. For this, it becomes important to consider interdisciplinary approaches, including social sciences, semiotics and psychology. The core is understanding various cross-modal relations, quantifying bias such as social biases, and the applicability of models to real-world problems. Interdisciplinary theories such as semiotics or gestalt psychology can provide additional insights and analysis on perceptual understanding through signs and symbols via multiple modalities. In general, these theories provide a compelling view of multimodality and perception that can further expand computational research and multimedia applications on the Web and Social media.

    The theme of the MUWS workshop, multimodal human understanding, includes various interdisciplinary challenges related to social bias analyses, multimodal representation learning, detection of human impressions or sentiment, hate speech, sarcasm in multimodal data, multimodal rhetoric and semantics, and related topics. The MUWS workshop will be an interactive event and include keynotes by relevant experts, poster and demo sessions, research presentations and discussion.

    Particular areas of interest include, but are not limited to:

        - Modeling human impressions in the context of the Web and Social Media
        - Cross-modal and semantic relations
        - Incorporating multi-disciplinary theories such as Semiotics or Gestalt-Theory into multimodal analyses
        - Measuring and analyzing biases such as cultural bias, social bias, multilingual bias, and related topics in the context of the Web and Social Media
        - Multimodal human perception understanding
        - Multimodal sentiment/emotion/sarcasm recognition
        - Multimodal hate speech detection
        - Multimodal misinformation detection
        - Multimodal content understanding and analysis
        - Multimodal rhetoric in online media


    Submission Instructions

        We welcome contributions from 4 pages (short papers) to 8 pages (long papers) that address the topics of interest. Papers should follow the ACM proceedings style. All submissions must be written in English and must be formatted according to the proceedings style. The workshop proceedings will be part of the ICMR Proceedings.

        Submission Page: https://easychair.org/conferences/?conf=muws24


    Important Dates
    	
        Submission deadline: April 7th, 2024
        Paper notification: April 21st, 2024
        Workshop date: June 10th, 2024

    Organizing Committee

        Marc A. Kastner, Kyoto University, Kyoto, Japan
        Gullal S. Cheema, TIB - Leibniz Information Centre for Science and Technology, Hannover, Germany
        Sherzod Hakimov, University of Potsdam, Potsdam, Germany
        Noa Garcia, Osaka University, Osaka, Japan

    Contact

        All questions about the workshop should be emailed to: muws24 (at sign) easychair.org


-- 
Dr. Marc A. Kastner
Assistant Professor
Kyoto University, Graduate School of Informatics
Intelligent Science and Technology Course, Computer Vision Lab
https://www.marc-kastner.com/