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abstract

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

Published:27 October 2023Publication History

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

  1. Samira Ebrahimi Kahou, Vincent Michalski, Kishore Konda, Roland Memisevic, and Christopher Pal. Recurrent neural networks for emotion recognition in video. In Proceedings of the International Conference on Multimodal Interaction, pages 467--474, 2015.Google ScholarGoogle Scholar
  2. Samira Ebrahimi Kahou, Xavier Bouthillier, Pascal Lamblin, Caglar Gulcehre, Vin- cent Michalski, Kishore Konda, Sébastien Jean, Pierre Froumenty, Yann Dauphin, Nicolas Boulanger-Lewandowski, et al. Emonets: Multimodal deep learning approaches for emotion recognition in video. Journal on Multimodal User Interfaces, 10:99--111, 2016.Google ScholarGoogle ScholarCross RefCross Ref
  3. Tom Young, Devamanyu Hazarika, Soujanya Poria, and Erik Cambria. Recent trends in deep learning based natural language processing. IEEE Computational Intelligence Magazine, 13(3):55--75, 2018.Google ScholarGoogle ScholarCross RefCross Ref
  4. 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.Google ScholarGoogle Scholar

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

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