Pseudo-labeling and confirmation bias in deep semi-supervised learning E Arazo, D Ortego, P Albert, NE O’Connor, K McGuinness International Joint Conference on Neural Networks (IJCNN), 2020 | 588 | 2020 |
Unsupervised label noise modeling and loss correction E Arazo, D Ortego, P Albert, NE O'Connor, K McGuinness International Conference on Machine Learning, 2019 | 507 | 2019 |
Multi-Objective Interpolation Training for Robustness to Label Noise D Ortego, E Arazo, P Albert, NE O'Connor, K McGuinness IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, 2020 | 61 | 2020 |
Towards Robust Learning with Different Label Noise Distributions D Ortego, E Arazo, P Albert, NE O'Connor, K McGuinness International Conference on Pattern Recognition (ICPR), 2019 | 26 | 2019 |
Addressing out-of-distribution label noise in webly-labelled data P Albert, D Ortego, E Arazo, N O'Connor, K McGuinness Winter Conference on Applications of Computer Vision (WACV), 2022 | 9 | 2022 |
ReLaB: Reliable Label Bootstrapping for Semi-Supervised Learning P Albert, D Ortego, E Arazo, NE O'Connor, K McGuinness International Joint Conference on Neural Networks (IJCNN), 2021 | 8 | 2021 |
How Important is Importance Sampling for Deep Budgeted Training? E Arazo, D Ortego, P Albert, N O'Connor, K McGuinness British Machine Vision Conference (BMVC) 2021, 2021 | 5 | 2021 |
The impact of visual saliency prediction in image classification EA Sánchez Universitat Politècnica de Catalunya. Escola Tècnica Superior d'Enginyeria …, 2017 | 5 | 2017 |
Segmentation Enhanced Lameness Detection in Dairy Cows from RGB and Depth Video E Arazo, R Aly, K McGuinness Conference on Computer Vision and Pattern Recognition workshops (CVPRw), 2022 | 4 | 2022 |
Embedding contrastive unsupervised features to cluster in-and out-of-distribution noise in corrupted image datasets P Albert, E Arazo, NE O’Connor, K McGuinness arXiv preprint arXiv:2207.01573, 2022 | 3 | 2022 |
Joint one‐sided synthetic unpaired image translation and segmentation for colorectal cancer prevention E Moreu, E Arazo, K McGuinness, NE O'Connor Expert Systems, 2022 | 2 | 2022 |
Improving unsupervised learning with exemplarCNNs E Arazo, NE O'Connor, K McGuinness Irish Pattern Recognition and Classication Society, 2019 | 2 | 2019 |
Is your noise correction noisy? PLS: Robustness to label noise with two stage detection P Albert, E Arazo, T Kirshna, NE O'Connor, K McGuinness IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 118-127, 2023 | 1 | 2023 |
Exploring the Impact of Training Data Bias on Automatic Generation of Video Captions AF Smeaton, Y Graham, K McGuinness, NE O’Connor, S Quinn, ... International Conference on Multimedia Modeling, 178-190, 2019 | 1 | 2019 |
Cardiac Segmentation using Transfer Learning under Respiratory Motion Artifacts C Garcia-Cabrera, E Arazo, KM Curran, NE O'Connor, K McGuinness Statistical Atlases and Computational Models of the Heart. Regular and …, 2023 | | 2023 |
Visual representation learning with deep neural networks under label and budget constraints E Arazo Sánchez Dublin City University, 2022 | | 2022 |
On guiding video object segmentation D Ortego, K McGuinness, JC SanMiguel, E Arazo, JM Martínez, ... 2019 International Conference on Content-Based Multimedia Indexing (CBMI), 1-6, 2019 | | 2019 |
Dublin City University participation in the VTT track at TRECVid 2017 H Afli, F Hu, J Du, D Cosgrove, K McGuinness, NE O'Connor, ... | | 2017 |
Modelling of alcohol detection using THz continuous wave ATR spectroscopy E Arazo Sánchez Universitat Politècnica de Catalunya, 2015 | | 2015 |