Deep learning for emotion and facial expression recognition

Session chairs

Hedi Tabia, Associate Professor ETIS, CNRS UMR-8051 ENSEA, Cette adresse e-mail est protégée contre les robots spammeurs. Vous devez activer le JavaScript pour la visualiser.
Halim Benhabiles, Associate Professor ISEN-Lille, Yncréa Hauts-de-France, France, Cette adresse e-mail est protégée contre les robots spammeurs. Vous devez activer le JavaScript pour la visualiser.
Karim Hammoudi, Associate Professor Université de Haute-Alsace, IRIMAS, F-68100, Mulhouse, France, Cette adresse e-mail est protégée contre les robots spammeurs. Vous devez activer le JavaScript pour la visualiser.
Aladine Chetouani, Associate Professor PRISME, University of Orleans, France, Cette adresse e-mail est protégée contre les robots spammeurs. Vous devez activer le JavaScript pour la visualiser.

 

Aim & topics:

Automatic human Facial Expressions Recognition (FER) is becoming of increased interest. FER finds its applications in many emerging areas such as affective computing and intelligent human computer interaction. Most of earlier works on FER rely on a combination of a powerful feature extractor and a supervised classifier. This way of proceeding however suffers from the intra-class variability of facial expression data. Moreover, it does not correctly scale with datasets containing emotions in the wild. Recent developments on image classification demonstrate the efficiency of deep learning in discovering multiple levels of representations, which provide greater robustness to intra-class variability and correctly scale with large datasets. The topic of the proposed session fits perfectly with the goals of IPTA 2019. It aims to present the most state-of-art advances in image processing for FER and bring expert insights on exploiting deep learning in this field.

The topics of interest include, but are not limited to:

  • Deep learning for facial expression recognition
  • Face and facial expression recognition from videos
  • 3D facial expression recognition
  • Applications of face recognition

 

For further information, please contact to:

Hedi Tabia, Cette adresse e-mail est protégée contre les robots spammeurs. Vous devez activer le JavaScript pour la visualiser.
Halim Benhabiles, Cette adresse e-mail est protégée contre les robots spammeurs. Vous devez activer le JavaScript pour la visualiser.
Karim Hammoudi, Cette adresse e-mail est protégée contre les robots spammeurs. Vous devez activer le JavaScript pour la visualiser.
Aladine Chetouani (France) : Cette adresse e-mail est protégée contre les robots spammeurs. Vous devez activer le JavaScript pour la visualiser.

 

Call for papers

A PDF version of the call for papers can be found here.