Corpus ID: 204512310

Interpretable Deep Neural Networks for Dimensional and Categorical Emotion Recognition in-the-wild

@article{Yicheng2019InterpretableDN,
  title={Interpretable Deep Neural Networks for Dimensional and Categorical Emotion Recognition in-the-wild},
  author={Xia Yicheng and Dimitrios Kollias},
  journal={ArXiv},
  year={2019},
  volume={abs/1910.05784}
}
Emotions play an important role in people's life. Understanding and recognising is not only important for interpersonal communication, but also has promising applications in Human-Computer Interaction, automobile safety and medical research. This project focuses on extending the emotion recognition database, and training the CNN + RNN emotion recognition neural networks with emotion category representation and valence \& arousal representation. The combined models are constructed by training… Expand
QATAR UNIVERSITY COLLEGE OF ENGINEERING STATIC AND DYNAMIC FACIAL EMOTION RECOGNITION USING NEURAL NETWORK MODELS BY EALAF SAYED AHMED HUSSEIN
Hussein, Ealaf, S., Masters : June : 2020, Masters of Science in Computing Title: Static and Dynamic Facial Emotion Recognition Using Neural Network Models Supervisor of Thesis: Uvais, A., Qidwai.Expand
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