HEU Emotion: a large-scale database for multimodal emotion recognition in the wild
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-020-05616-w.pdf
Reference59 articles.
1. Ahonen T, Hadid A, Pietikäinen M (2004) Face recognition with local binary patterns. In: European conference on computer vision, pp 469–481. Springer
2. Ben-Younes H, Cadene R, Thome N, Cord M (2019) Block: Bilinear superdiagonal fusion for visual question answering and visual relationship detection. arXiv preprint arXiv:1902.00038
3. Busso C, Bulut M, Lee CC, Kazemzadeh A, Mower E, Kim S, Chang JN, Lee S, Narayanan SS (2008) Iemocap: Interactive emotional dyadic motion capture database. Language resources and evaluation 42(4):335–339
4. Chen SY, Hsu CC, Kuo CC, Ku LW, et al (2018) Emotionlines: An emotion corpus of multi-party conversations. arXiv preprint arXiv:1802.08379
5. Cho K, Van Merriënboer B, Gulcehre C, Bahdanau D, Bougares F, Schwenk H, Bengio Y (2014) Learning phrase representations using rnn encoder-decoder for statistical machine translation. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp 1724–1734. Association for Computational Linguistics
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