Researcher in Deep Learning for Food recognition

Updated: 4 months ago
Job Type: PartTime
Deadline: 26 Jan 2022

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:

email

Name

Petia Radeva

email subject

Petia.ivanova@ub.e du ; radevap@gmail.com


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