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MRAC'23: 1st International Workshop on Multimodal and Responsible Affective Computing

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Jianhua TaoAuthors Info & Claims

MM '23: Proceedings of the 31st ACM International Conference on Multimedia

Pages 9713 - 9714

https://doi.org/10.1145/3581783.3610936

Published: 27 October 2023 Publication History

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Abstract

Multimodal emotion recognition has become an important research topic due to its wide applications in human-computer interaction. Over the last few decades, the technology has made remarkable progress with the development of deep learning. However, existing technologies are hard to meet the demand for practical applications. To this end, we organize this workshop to bring together researchers in this field to further discuss recent research and future directions.

References

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Zheng Lian, Haiyang Sun, Licai Sun, Jinming Zhao, Ye Liu, Bin Liu, Jiangyan Yi, Meng Wang, Erik Cambria, Guoying Zhao, et al. Mer 2023: Multi-label learning, modality robustness, and semi-supervised learning. arXiv preprint arXiv:2304.08981, 2023.

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Lian ZLiu BLiu RXu KCambria EZhao GSchuller BTao JTao JGhosh SLian ZCai ZSchuller BDhall AZhao GKollias DCambria EGoecke RGedeon T(2024)MRAC'24 Track 2: 2nd International Workshop on Multimodal and Responsible Affective ComputingProceedings of the 2nd International Workshop on Multimodal and Responsible Affective Computing10.1145/3689092.3696103(39-40)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3689092.3696103

Index Terms

MRAC'23: 1st International Workshop on Multimodal and Responsible Affective Computing
1. Human-centered computing
  1. Human computer interaction (HCI)
2. Networks
  1. Network architectures

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Published In

MM '23: Proceedings of the 31st ACM International Conference on Multimedia

October 2023

9913 pages

ISBN:9798400701085

DOI:10.1145/3581783

General Chairs:
Abdulmotaleb El Saddik
University of Ottawa, Canada & MBZUAI, UAE
,
Tao Mei
HiDream.ai, China
,
Rita Cucchiara
University of Modena and Reggio Emilia, Italy
,
Program Chairs:
Marco Bertini
University of Florence, Italy
,
Diana Patricia Tobon Vallejo
Unversidad de Medellin, Colombia
,
Pradeep K. Atrey
University at Albany, State University of New York, USA
,
M. Shamim Hossain
M. Shamim Hossain (King Saud University, KSA

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 October 2023

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Funding Sources

Beijing Municipal Science \& Technology Commission, Administrative Commission of Zhongguancun Science Park
CCF-Baidu Open Fund
Open Research Projects of Zhejiang Lab
National Natural Science Foundation of China (NSFC)

Conference

MM '23

Sponsor:

SIGMM

MM '23: The 31st ACM International Conference on Multimedia

October 29 - November 3, 2023

Ottawa ON, Canada

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Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Lian ZLiu BLiu RXu KCambria EZhao GSchuller BTao JTao JGhosh SLian ZCai ZSchuller BDhall AZhao GKollias DCambria EGoecke RGedeon T(2024)MRAC'24 Track 2: 2nd International Workshop on Multimodal and Responsible Affective ComputingProceedings of the 2nd International Workshop on Multimodal and Responsible Affective Computing10.1145/3689092.3696103(39-40)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3689092.3696103

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Recommendations

MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learning

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