Action unit selective feature maps in deep networks for facial expression recognition

@article{Zhou2017ActionUS,
  title={Action unit selective feature maps in deep networks for facial expression recognition},
  author={Yuqian Zhou and Bertram E. Shi},
  journal={2017 International Joint Conference on Neural Networks (IJCNN)},
  year={2017},
  pages={2031-2038}
}
Facial expression recognizers based on handcrafted features have achieved satisfactory performance on many databases. Recently, deep neural networks, e. g. deep convolutional neural networks (CNNs) have been shown to boost performance on vision tasks. However, the mechanisms exploited by CNNs are not well established. In this paper, we establish the existence and utility of feature maps selective to action units in a deep CNN trained by transfer learning. We transfer a network pre-trained on… CONTINUE READING

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A Comparison of Methods of Facial Expression Recognition

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References

Publications referenced by this paper.
SHOWING 1-10 OF 34 REFERENCES

The Karolinska directed emotional faces (KDEF)

D. Lundqvist, A. Flykt, A. hman
  • CD ROM from Department of Clinical Neuroscience, Psychology Section, Karolinska Institutet, pp. 91-630, 1998. Fig.6. The feature maps distribution in the Occupancy-Selectivity space. Feature maps with high AU-selectivity mostly have high face-occupancy, except for some maps responding to face conto
  • 1998
VIEW 9 EXCERPTS
HIGHLY INFLUENTIAL

Facial action coding system

VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition?

  • 2015 IEEE International Conference on Computer Vision Workshop (ICCVW)
  • 2015
VIEW 13 EXCERPTS
HIGHLY INFLUENTIAL

Facial Action Unit Recognition by Exploiting Their Dynamic and Semantic Relationships

  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2007
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Recognizing Action Units for Facial Expression Analysis

  • IEEE Trans. Pattern Anal. Mach. Intell.
  • 2001
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Ancoli, "Facial signs of emotional experience.

P. Ekman, S.W.V. Freisen
  • Journal of Personality and Social Psychology.,
  • 1980
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL