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EmoNets: Multimodal deep learning approaches for emotion recognition in video

Samira Ebrahimi Kahou, Xavier Bouthillier, Pascal Lamblin, Caglar Gulcehre, Vincent Michalski, Kishore Konda, Sébastien Jean, Pierre Froumenty, Yann Dauphin, Nicolas Boulanger-Lewandowski, Raul Chandias Ferrari, Mehdi Mirza, David Warde-Farley, Aaron Courville, Pascal Vincent, Roland Memisevic, Christopher J. Pal and Yoshua Bengio

Article (2016)

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Department: Department of Computer Engineering and Software Engineering
PolyPublie URL: https://publications.polymtl.ca/35966/
Journal Title: Journal on Multimodal User Interfaces (vol. 10, no. 2)
Publisher: Springer
DOI: 10.1007/s12193-015-0195-2
Official URL: https://doi.org/10.1007/s12193-015-0195-2
Date Deposited: 18 Apr 2023 15:05
Last Modified: 05 Apr 2024 11:28
Cite in APA 7: Kahou, S. E., Bouthillier, X., Lamblin, P., Gulcehre, C., Michalski, V., Konda, K., Jean, S., Froumenty, P., Dauphin, Y., Boulanger-Lewandowski, N., Ferrari, R. C., Mirza, M., Warde-Farley, D., Courville, A., Vincent, P., Memisevic, R., Pal, C. J., & Bengio, Y. (2016). EmoNets: Multimodal deep learning approaches for emotion recognition in video. Journal on Multimodal User Interfaces, 10(2), 99-111. https://doi.org/10.1007/s12193-015-0195-2

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