Dedicated Encoding-Streams Based Spatio-Temporal Framework for Dynamic Person-Independent Facial Expression Recognition
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-44137-0_2
Reference23 articles.
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3. Chang, F.J., Tran, A.T., Hassner, T., Masi, I., Nevatia, R., Medioni, G.: ExpNet: landmark-free, deep, 3D facial expressions. In: 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018), pp. 122–129. IEEE (2018)
4. Ding, W., et al.: Audio and face video emotion recognition in the wild using deep neural networks and small datasets. In: Proceedings of the 18th ACM International Conference on Multimodal Interaction, pp. 506–513 (2016)
5. El Hammoumi, O., Benmarrakchi, F., Ouherrou, N., El Kafi, J., El Hore, A.: Emotion recognition in e-learning systems. In: 2018 6th International Conference on Multimedia Computing and Systems (ICMCS), pp. 1–6 (2018). https://doi.org/10.1109/ICMCS.2018.8525872
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