Eric Arazo
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
9
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AIES | Emergent AI Surveillance: Overlearned Person Re-Identification and Its Mitigation in Law Enforcement Context. | An Thi Nguyen, Radina Stoykova, Eric Arazo |
| 2024 | CVPR | Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero-shot Medical Image Segmentation. | Sidra Aleem, Fangyijie Wang, Mayug Maniparambil, Eric Arazo, Julia Dietlmeier, Kathleen M. Curran, Noel E. O'Connor, Suzanne Little |
| 2024 | ECCV | An Accurate Detection Is Not All You Need to Combat Label Noise in Web-Noisy Datasets. | Paul Albert, Jack Valmadre, Eric Arazo, Tarun Krishna, Noel E. O'Connor, Kevin McGuinness |
| 2023 | BMVC | Unifying Synergies between Self-supervised Learning and Dynamic Computation. | Tarun Krishna, Ayush K. Rai, Alexandru Drimbarean, Eric Arazo, Paul Albert, Alan F. Smeaton, Kevin McGuinness, Noel E. O'Connor |
| 2023 | IJCNN | Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic Data. | Enric Moreu, Eric Arazo, Kevin McGuinness, Noel E. O'Connor |
| 2023 | WACV | Is your noise correction noisy? PLS: Robustness to label noise with two stage detection. | Paul Albert, Eric Arazo, Tarun Krishna, Noel E. O'Connor, Kevin McGuinness |
| 2022 | ECCV | Embedding Contrastive Unsupervised Features to Cluster In- And Out-of-Distribution Noise in Corrupted Image Datasets. | Paul Albert, Eric Arazo, Noel E. O'Connor, Kevin McGuinness |
| 2022 | WACV | Addressing out-of-distribution label noise in webly-labelled data. | Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness |
| 2021 | BMVC | How Important is Importance Sampling for Deep Budgeted Training? | Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness |
| 2021 | CVPR | Multi-Objective Interpolation Training for Robustness To Label Noise. | Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness |
| 2021 | IJCNN | ReLaB: Reliable Label Bootstrapping for Semi-Supervised Learning. | Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness |
| 2020 | ICPR | Towards Robust Learning with Different Label Noise Distributions. | Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness |
| 2020 | IJCNN | Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning. | Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness |
| 2019 | CBMI | On guiding video object segmentation. | Diego Ortego, Kevin McGuinness, Juan C. SanMiguel, Eric Arazo, Jos M. Martnez, Noel E. O'Connor |
| 2019 | ICML | Unsupervised Label Noise Modeling and Loss Correction. | Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness |