Partially Supervised Multi-Task Network for Single-View Dietary Assessment

no code implementations • 15 Jul 2020 • Ya Lu, Thomai Stathopoulou, Stavroula Mougiakakou

Despite the recent advances in unsupervised depth estimation from a single image, the achieved performance in the case of large texture-less areas needs to be improved.

Depth Estimation Depth Prediction

An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients

no code implementations • 18 Mar 2020 • Ya Lu, Thomai Stathopoulou, Maria F. Vasiloglou, Stergios Christodoulidis, Zeno Stanga, Stavroula Mougiakakou

Regular monitoring of nutrient intake in hospitalised patients plays a critical role in reducing the risk of disease-related malnutrition.

Few-Shot Learning Food Recognition

An Artificial Intelligence-Based System for Nutrient Intake Assessment of Hospitalised Patients

no code implementations • 7 Jun 2019 • Ya Lu, Thomai Stathopoulou, Maria F. Vasiloglou, Stergios Christodoulidis, Beat Blum, Thomas Walser, Vinzenz Meier, Zeno Stanga, Stavroula G. Mougiakakou

Regular nutrient intake monitoring in hospitalised patients plays a critical role in reducing the risk of disease-related malnutrition (DRM).

A Multi-Task Learning Approach for Meal Assessment

no code implementations • 27 Jun 2018 • Ya Lu, Dario Allegra, Marios Anthimopoulos, Filippo Stanco, Giovanni Maria Farinella, Stavroula Mougiakakou

Key role in the prevention of diet-related chronic diseases plays the balanced nutrition together with a proper diet.

Multi-Task Learning Nutrition