Eduardo Aguilar Torres
Eduardo Aguilar Torres
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Grab, pay, and eat: Semantic food detection for smart restaurants
E Aguilar, B Remeseiro, M Bolaños, P Radeva
IEEE Transactions on Multimedia 20 (12), 3266-3275, 2018
Food recognition using fusion of classifiers based on CNNs
E Aguilar, M Bolaños, P Radeva
Image Analysis and Processing-ICIAP 2017: 19th International Conference …, 2017
Regularized uncertainty-based multi-task learning model for food analysis
E Aguilar, M Bolaños, P Radeva
Journal of Visual Communication and Image Representation 60, 360-370, 2019
Exploring food detection using CNNs
E Aguilar, M Bolaños, P Radeva
Computer Aided Systems Theory–EUROCAST 2017: 16th International Conference …, 2018
Multiple wavelet pooling for cnns
A Ferrà, E Aguilar, P Radeva
Proceedings of the European conference on computer vision (ECCV) workshops, 0-0, 2018
Bayesian deep learning for semantic segmentation of food images
E Aguilar, B Nagarajan, B Remeseiro, P Radeva
Computers and Electrical Engineering 103, 108380, 2022
Uncertainty-aware integration of local and flat classifiers for food recognition
E Aguilar, P Radeva
Pattern Recognition Letters 136, 237-243, 2020
Uncertainty modeling and deep learning applied to food image analysis
E Aguilar, B Nagarajan, R Khatun, M Bolaños, P Radeva
International Joint Conference on Biomedical Engineering Systems and …, 2020
Uncertainty-aware data augmentation for food recognition
E Aguilar, B Nagarajan, R Khantun, M Bolaños, P Radeva
2020 25th International Conference on Pattern Recognition (ICPR), 4017-4024, 2021
Class-conditional data augmentation applied to image classification
E Aguilar, P Radeva
Computer Analysis of Images and Patterns: 18th International Conference …, 2019
Food recognition by integrating local and flat classifiers
E Aguilar, P Radeva
Iberian Conference on Pattern Recognition and Image Analysis, 65-74, 2019
Nutritional monitoring in older people prevention services
B Nagarajan, R Khatun, M Bolaños, E Aguilar, L Angelini, M El Kamali, ...
Digital Health Technology for Better Aging: A Multidisciplinary Approach, 77-102, 2021
Uncertainty-aware selecting for an ensemble of deep food recognition models
E Aguilar, B Nagarajan, P Radeva
Computers in Biology and Medicine 146, 105645, 2022
Bayesian DivideMix++ for Enhanced Learning with Noisy Labels
B Nagarajan, R Marques, E Aguilar, P Radeva
Neural Networks 172, 106122, 2024
Exploring multi-food detection using deep learning-based algorithms
R Morales, J Quispe, E Aguilar
2023 IEEE 13th International Conference on Pattern Recognition Systems …, 2023
S2ML-TL framework for multi-label food recognition
B Nagarajan, E Aguilar, P Radeva
International Conference on Pattern Recognition, 629-646, 2021
Deep ensemble-based hard sample mining for food recognition
B Nagarajan, M Bolaños, E Aguilar, P Radeva
Journal of Visual Communication and Image Representation 95, 103905, 2023
Continual Evidential Deep Learning for Out-of-Distribution Detection
E Aguilar, B Raducanu, P Radeva, J Van de Weijer
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
Can deep learning models recognize chilean diet
B Muñoz, I Chirino, E Aguilar
IEEE Latin America Transactions 20 (9), 2131-2138, 2022
Robust Deep Neural Network for Learning in Noisy Multi-Label Food Images
R Morales, A Martinez-Arroyo, E Aguilar
Sensors 24 (7), 2034, 2024
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