Eduardo Aguilar

36 papers B 1Journal 17Unranked 18
YearRankTypeTitle / Venue / Authors
2025 J jnl
CEDL+: Exploiting evidential deep learning for continual out-of-distribution detection.
Expert Syst. Appl.
Eduardo Aguilar, Bogdan Raducanu, Petia Radeva, Joost van de Weijer
2025 J jnl
Inter-separability and intra-concentration to enhance stochastic neural network adversarial robustness.
Pattern Recognit. Lett.
Omar Dardour, Eduardo Aguilar, Petia Radeva, Mourad Zaied
2025 — conf
LLM-Generated Semantic Co-occurrences for Multi-label Food Recognition.
CAIP (2)
Daniel Ponte, Eduardo Aguilar, Mireia Ribera, Petia Radeva
2025 J jnl
Multi-label out-of-distribution detection via evidential learning.
CoRR
Eduardo Aguilar, Bogdan Raducanu, Petia Radeva
2025 J jnl
Multi-task visual food recognition by integrating an ontology supported with LLM.
J. Vis. Commun. Image Represent.
Daniel Ponte, Eduardo Aguilar, Mireia Ribera, Petia Radeva
2025 — conf
Robust Logit to Enhance Stochastic Neural Network Adversarial Robustness.
CAIP (2)
Omar Dardour, Eduardo Aguilar, Mourad Zaied, Petia Radeva
2025 — conf
Slot Attention-based Feature Filtering for Few-Shot Learning.
CVPR Workshops
Javier Ródenas Cumplido, Eduardo Aguilar, Petia Radeva
2025 J jnl
Slot Attention-based Feature Filtering for Few-Shot Learning.
CoRR
Javier Ródenas, Eduardo Aguilar, Petia Radeva
2025 — conf
Stochastic-based Patch Filtering for Few-Shot Learning.
CVPR Workshops
Javier Ródenas Cumplido, Eduardo Aguilar, Petia Radeva
2025 — conf
Uncertainty-Driven Past-Sample Selection for Replay-Based Continual Learning.
VISIGRAPP (3): VISAPP
Anxo-Lois Pereira, Eduardo Aguilar, Petia Radeva
2024 — conf
An Uncertainty-Driven ScaledYOLOv4 for Open-Pit Mining Helmet Detection.
CIARP (2)
Roger Calle, Eduardo Aguilar
2024 J jnl
Bayesian DivideMix++ for Enhanced Learning with Noisy Labels.
Neural Networks
Bhalaji Nagarajan, Ricardo Marques, Eduardo Aguilar, Petia Radeva
2024 — conf
Multi-label Out-of-Distribution Detection via Evidential Learning.
ECCV Workshops (17)
Eduardo Aguilar, Bogdan Raducanu, Petia Radeva
2024 — conf
Ontology-Driven Deep Learning Model for Multitask Visual Food Analysis.
VISIGRAPP (2): VISAPP
Daniel Ponte, Eduardo Aguilar, Mireia Ribera, Petia Radeva
2024 J jnl
Robust Deep Neural Network for Learning in Noisy Multi-Label Food Images.
Sensors
Roberto Morales, Angela Martinez-Arroyo, Eduardo Aguilar
2024 — conf
Towards a Lightweight CNN for Semantic Food Segmentation.
CIARP (1)
Bastián Muñoz, Beatriz Remeseiro, Eduardo Aguilar
2023 — conf
Continual Evidential Deep Learning for Out-of-Distribution Detection.
ICCV (Workshops)
Eduardo Aguilar, Bogdan Raducanu, Petia Radeva, Joost van de Weijer
2023 J jnl
Continual Evidential Deep Learning for Out-of-Distribution Detection.
CoRR
Eduardo Aguilar, Bogdan Raducanu, Petia Radeva, Joost van de Weijer
2023 J jnl
Deep ensemble-based hard sample mining for food recognition.
J. Vis. Commun. Image Represent.
Bhalaji Nagarajan, Marc Bolaños, Eduardo Aguilar, Petia Radeva
2022 J jnl
Bayesian deep learning for semantic segmentation of food images.
Comput. Electr. Eng.
Eduardo Aguilar, Bhalaji Nagarajan, Beatriz Remeseiro, Petia Radeva
2022 J jnl
Uncertainty-aware selecting for an ensemble of deep food recognition models.
Comput. Biol. Medicine
Eduardo Aguilar, Bhalaji Nagarajan, Petia Radeva
2020 — conf
S2ML-TL Framework for Multi-label Food Recognition.
ICPR Workshops (5)
Bhalaji Nagarajan, Eduardo Aguilar, Petia Radeva
2020 — conf
Uncertainty Modeling and Deep Learning Applied to Food Image Analysis.
BIOSTEC
Eduardo Aguilar, Bhalaji Nagarajan, Rupali Khatun, Marc Bolaños, Petia Radeva
2020 — conf
Uncertainty Modeling and Deep Learning Applied to Food Image Analysis.
BIOSTEC (Selected Papers)
Eduardo Aguilar, Bhalaji Nagarajan, Rupali Khatun, Marc Bolaños, Petia Radeva
2020 B conf
Uncertainty-Aware Data Augmentation for Food Recognition.
ICPR
Eduardo Aguilar, Bhalaji Nagarajan, Rupali Khatun, Marc Bolaños, Petia Radeva
2020 J jnl
Uncertainty-aware integration of local and flat classifiers for food recognition.
Pattern Recognit. Lett.
Eduardo Aguilar, Petia Radeva
2019 — conf
Class-Conditional Data Augmentation Applied to Image Classification.
CAIP (2)
Eduardo Aguilar, Petia Radeva
2019 — conf
Food Recognition by Integrating Local and Flat Classifiers.
IbPRIA (1)
Eduardo Aguilar, Petia Radeva
2019 J jnl
Regularized uncertainty-based multi-task learning model for food analysis.
J. Vis. Commun. Image Represent.
Eduardo Aguilar, Marc Bolaños, Petia Radeva
2018 J jnl
Grab, Pay, and Eat: Semantic Food Detection for Smart Restaurants.
IEEE Trans. Multim.
Eduardo Aguilar, Beatriz Remeseiro, Marc Bolaños, Petia Radeva
2018 — conf
Multiple Wavelet Pooling for CNNs.
ECCV Workshops (4)
Aina Ferrà, Eduardo Aguilar, Petia Radeva
2017 — conf
Exploring Food Detection Using CNNs.
EUROCAST (2)
Eduardo Aguilar, Marc Bolaños, Petia Radeva
2017 J jnl
Exploring Food Detection using CNNs.
CoRR
Eduardo Aguilar, Marc Bolaños, Petia Radeva
2017 — conf
Food Recognition Using Fusion of Classifiers Based on CNNs.
ICIAP (2)
Eduardo Aguilar, Marc Bolaños, Petia Radeva
2017 J jnl
Food Recognition using Fusion of Classifiers based on CNNs.
CoRR
Eduardo Aguilar, Marc Bolaños, Petia Radeva
2017 J jnl
Grab, Pay and Eat: Semantic Food Detection for Smart Restaurants.
CoRR
Eduardo Aguilar, Beatriz Remeseiro, Marc Bolaños, Petia Radeva