Today, Deep learning achieved outstanding results surpassing humans in many tasks as object recognition, lip reading, facial recognition, license plate readers, traffic violations detection, or breast tomosynthesis diagnosis. However, the food image analysis field is far unexplored. In this project, the candidate will develop new Deep learning techniques to process food images and textual data (recipes, comments, etc.) in order to address problems as food recognition and food segmentation. We will explore new techniques for domain adaptation to transfer knowledge from different domains and improve food analysis. The position will be integrated in the European project “Logmeal4Shape” where we collaborate with several European teams to validate our algorithms in real situations, like analyzing nutrition of elderly patients.
Acronym
Logmeal4Shape
FBG project number
402233
Project title
An intelligent tool based on Deep learning for Food Intake monitoring of Elderly
Logmeal4Shape
IP
Petia Radeva
Department
Matemàtiques i Informàtica
Gross salary per year
Depends on the experience
Required documents
Application letter, Curriculum vitae, etc.
Send your application to:
Name
Petia Radeva
email subject
[email protected] du ; [email protected]
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