Eduardo Aguilar

According to our database, Eduardo Aguilar authored at least 20 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Robust Deep Neural Network for Learning in Noisy Multi-Label Food Images.

Roberto Morales, Angela Martinez-Arroyo, Eduardo Aguilar

Sensors, April, 2024

Bayesian DivideMix++ for Enhanced Learning with Noisy Labels.

Bhalaji Nagarajan, Ricardo Marques, Eduardo Aguilar, Petia Radeva

Neural Networks, 2024

Ontology-Driven Deep Learning Model for Multitask Visual Food Analysis.

Daniel Ponte, Eduardo Aguilar, Mireia Ribera, Petia Radeva

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Towards a Lightweight CNN for Semantic Food Segmentation.

Bastián Muñoz, Beatriz Remeseiro, Eduardo Aguilar

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2024

An Uncertainty-Driven ScaledYOLOv4 for Open-Pit Mining Helmet Detection.

Roger Calle, Eduardo Aguilar

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2024

2023

Deep ensemble-based hard sample mining for food recognition.

Bhalaji Nagarajan, Marc Bolaños, Eduardo Aguilar, Petia Radeva

J. Vis. Commun. Image Represent., September, 2023

Continual Evidential Deep Learning for Out-of-Distribution Detection.

Eduardo Aguilar, Bogdan Raducanu, Petia Radeva, Joost van de Weijer

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Bayesian deep learning for semantic segmentation of food images.

Eduardo Aguilar, Bhalaji Nagarajan, Beatriz Remeseiro, Petia Radeva

Comput. Electr. Eng., 2022

Uncertainty-aware selecting for an ensemble of deep food recognition models.

Eduardo Aguilar, Bhalaji Nagarajan, Petia Radeva

Comput. Biol. Medicine, 2022

2020

Uncertainty-aware integration of local and flat classifiers for food recognition.

Eduardo Aguilar, Petia Radeva

Pattern Recognit. Lett., 2020

S2ML-TL Framework for Multi-label Food Recognition.

Bhalaji Nagarajan, Eduardo Aguilar, Petia Radeva

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Uncertainty-Aware Data Augmentation for Food Recognition.

Eduardo Aguilar, Bhalaji Nagarajan, Rupali Khatun, Marc Bolaños, Petia Radeva

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Uncertainty Modeling and Deep Learning Applied to Food Image Analysis.

Eduardo Aguilar, Bhalaji Nagarajan, Rupali Khatun, Marc Bolaños, Petia Radeva

Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

2019

Regularized uncertainty-based multi-task learning model for food analysis.

Eduardo Aguilar, Marc Bolaños, Petia Radeva

J. Vis. Commun. Image Represent., 2019

Food Recognition by Integrating Local and Flat Classifiers.

Eduardo Aguilar, Petia Radeva

Proceedings of the Pattern Recognition and Image Analysis - 9th Iberian Conference, 2019

Class-Conditional Data Augmentation Applied to Image Classification.

Eduardo Aguilar, Petia Radeva

Proceedings of the Computer Analysis of Images and Patterns, 2019

2018

Grab, Pay, and Eat: Semantic Food Detection for Smart Restaurants.

Eduardo Aguilar, Beatriz Remeseiro, Marc Bolaños, Petia Radeva

IEEE Trans. Multim., 2018

Multiple Wavelet Pooling for CNNs.

Aina Ferrà, Eduardo Aguilar, Petia Radeva

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017

Food Recognition Using Fusion of Classifiers Based on CNNs.

Eduardo Aguilar, Marc Bolaños, Petia Radeva

Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

Exploring Food Detection Using CNNs.

Eduardo Aguilar, Marc Bolaños, Petia Radeva

Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017