Deep Learning, facial expression recognition
Facial Expression Recognition (REF) is currently one of the most active research topics in human-machine interaction applications. This recent success has been achieved thanks to the emergence of deep learning based approaches. However, training these networks is still a very challenging task for such applications, as most available databases are relatively limited. This scholarship is intended to make a study of Deep Learning techniques for REF.
Master degree in Electrical Engineering, Bioengineering or similar.
Minimum profile required
Experience in image processing and analysis, machine learning, Matlab, C ++, Python, OpenCV.
Previous experience in bio-related projects.
Since 02 Sep 2019 to 13 Sep 2019
Cluster / Centre
Networked Intelligent Systems / Telecommunications and Multimedia