55 citations · 219 across the 12 of their papers we have counts for
17 papers
ELFIS: Expert Learning for Fine-grained Image Recognition Using Subsets
Pablo Villacorta, Jesús M. Rodríguez-de-Vera, Marc Bolaños +3
Fine-Grained Visual Recognition (FGVR) tackles the problem of distinguishing highly similar categories. One of the main approaches to FGVR, namely subset learning, tries to leverag…
Grab, Pay and Eat: Semantic Food Detection for Smart Restaurants
Eduardo Aguilar, Beatriz Remeseiro, Marc Bolaños +1
The increase in awareness of people towards their nutritional habits has drawn considerable attention to the field of automatic food analysis. Focusing on self-service restaurants…
Food Recognition using Fusion of Classifiers based on CNNs
Eduardo Aguilar, Marc Bolaños, Petia Radeva
With the arrival of convolutional neural networks, the complex problem of food recognition has experienced an important improvement in recent years. The best results have been obta…
Exploring Food Detection using CNNs
Eduardo Aguilar, Marc Bolaños, Petia Radeva
One of the most common critical factors directly related to the cause of a chronic disease is unhealthy diet consumption. In this sense, building an automatic system for food analy…
Serious Games Application for Memory Training Using Egocentric Images
Gabriel Oliveira-Barra, Marc Bolaños, Estefania Talavera +3
Mild cognitive impairment is the early stage of several neurodegenerative diseases, such as Alzheimer's. In this work, we address the use of lifelogging as a tool to obtain picture…
Food Ingredients Recognition through Multi-label Learning
Marc Bolaños, Aina Ferrà, Petia Radeva
Automatically constructing a food diary that tracks the ingredients consumed can help people follow a healthy diet. We tackle the problem of food ingredients recognition as a multi…