MUWS'2023: The 2nd International Workshop on Multimodal Human Understanding for the Web and Social Media

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

  • Gullal S. Cheema
  • Marc A. Kastner
  • Sherzod Hakimov
  • Noa Garcia

Organisationseinheiten

Externe Organisationen

  • Kyoto University
  • Universität Potsdam
  • Osaka University
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des SammelwerksCIKM 2023
UntertitelProceedings of the 32nd ACM International Conference on Information and Knowledge Management
Herausgeber (Verlag)Association for Computing Machinery (ACM)
Seiten5263-5266
Seitenumfang4
ISBN (elektronisch)9798400701245
PublikationsstatusVeröffentlicht - 21 Okt. 2023
Veranstaltung32nd ACM International Conference on Information and Knowledge Management, CIKM 2023 - Birmingham, Großbritannien / Vereinigtes Königreich
Dauer: 21 Okt. 202325 Okt. 2023

Abstract

Multimodal human understanding and analysis is an emerging research area that cuts through several disciplines like Computer Vision (CV), Natural Language Processing (NLP), Speech Processing, Human-Computer Interaction (HCI), 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.

Zitieren

MUWS'2023: The 2nd International Workshop on Multimodal Human Understanding for the Web and Social Media. / Cheema, Gullal S.; Kastner, Marc A.; Hakimov, Sherzod et al.
CIKM 2023 : Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. Association for Computing Machinery (ACM), 2023. S. 5263-5266.

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Cheema, GS, Kastner, MA, Hakimov, S & Garcia, N 2023, MUWS'2023: The 2nd International Workshop on Multimodal Human Understanding for the Web and Social Media. in CIKM 2023 : Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. Association for Computing Machinery (ACM), S. 5263-5266, 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, Großbritannien / Vereinigtes Königreich, 21 Okt. 2023. https://doi.org/10.1145/3583780.3615310
Cheema, G. S., Kastner, M. A., Hakimov, S., & Garcia, N. (2023). MUWS'2023: The 2nd International Workshop on Multimodal Human Understanding for the Web and Social Media. In CIKM 2023 : Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (S. 5263-5266). Association for Computing Machinery (ACM). https://doi.org/10.1145/3583780.3615310
Cheema GS, Kastner MA, Hakimov S, Garcia N. MUWS'2023: The 2nd International Workshop on Multimodal Human Understanding for the Web and Social Media. in CIKM 2023 : Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. Association for Computing Machinery (ACM). 2023. S. 5263-5266 doi: 10.1145/3583780.3615310
Cheema, Gullal S. ; Kastner, Marc A. ; Hakimov, Sherzod et al. / MUWS'2023 : The 2nd International Workshop on Multimodal Human Understanding for the Web and Social Media. CIKM 2023 : Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. Association for Computing Machinery (ACM), 2023. S. 5263-5266
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abstract = "Multimodal human understanding and analysis is an emerging research area that cuts through several disciplines like Computer Vision (CV), Natural Language Processing (NLP), Speech Processing, Human-Computer Interaction (HCI), 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.",
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AU - Kastner, Marc A.

AU - Hakimov, Sherzod

AU - Garcia, Noa

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