Eduardo Aguilar

Orcid: 0000-0002-2463-0301

Affiliations:
  • Universidad Católica del Norte, Antofagasta, Chile
  • Universitat de Barcelona, Barcelona, Spain


According to our database1, Eduardo Aguilar authored at least 16 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Ontology-Driven Deep Learning Model for Multitask Visual Food Analysis.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023
Deep ensemble-based hard sample mining for food recognition.
J. Vis. Commun. Image Represent., September, 2023

Continual Evidential Deep Learning for Out-of-Distribution Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Bayesian deep learning for semantic segmentation of food images.
Comput. Electr. Eng., 2022

Uncertainty-aware selecting for an ensemble of deep food recognition models.
Comput. Biol. Medicine, 2022

2020
Uncertainty-aware integration of local and flat classifiers for food recognition.
Pattern Recognit. Lett., 2020

S2ML-TL Framework for Multi-label Food Recognition.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Uncertainty-Aware Data Augmentation for Food Recognition.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Uncertainty Modeling and Deep Learning Applied to Food Image Analysis.
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.
J. Vis. Commun. Image Represent., 2019

Food Recognition by Integrating Local and Flat Classifiers.
Proceedings of the Pattern Recognition and Image Analysis - 9th Iberian Conference, 2019

Class-Conditional Data Augmentation Applied to Image Classification.
Proceedings of the Computer Analysis of Images and Patterns, 2019

2018
Grab, Pay, and Eat: Semantic Food Detection for Smart Restaurants.
IEEE Trans. Multim., 2018

Multiple Wavelet Pooling for CNNs.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017
Food Recognition Using Fusion of Classifiers Based on CNNs.
Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

Exploring Food Detection Using CNNs.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017


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