Visualizing Apparent Personality Analysis with Deep Residual Networks

@article{Gltrk2017VisualizingAP,
  title={Visualizing Apparent Personality Analysis with Deep Residual Networks},
  author={Yağmur G{\"u}çl{\"u}t{\"u}rk and Umut G{\"u}çl{\"u} and Marc P{\'e}rez and Hugo Jair Escalante and Xavier Bar{\'o} and Carlos And{\'u}jar and Isabelle Guyon and Julio Cezar Silveira Jacques and Meysam Madadi and Sergio Escalera and Marcel van Gerven and Rob van Lier},
  journal={2017 IEEE International Conference on Computer Vision Workshops (ICCVW)},
  year={2017},
  pages={3101-3109}
}
Automatic prediction of personality traits is a subjective task that has recently received much attention. Specifically, automatic apparent personality trait prediction from multimodal data has emerged as a hot topic within the filed of computer vision and, more particularly, the so called "looking at people" sub-field. Considering "apparent" personality traits as opposed to real ones considerably reduces the subjectivity of the task. The real world applications are encountered in a wide range… CONTINUE READING

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