Eric Arazo Sanchez

According to our database, Eric Arazo Sanchez authored at least 24 papers between 2017 and 2024.

Collaborative distances:

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

2024

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, Guénolé Silvestre, Kathleen M. Curran, Noel E. O'Connor, Suzanne Little

CoRR, 2024

Xpression: A Unifying Metric to Optimize Compression and Explainability Robustness of AI Models.

Eric Arazo, Hristo Stoev, Cristian Bosch, Andrés L. Suárez-Cetrulo, Ricardo Simon Carbajo

Proceedings of the Explainable Artificial Intelligence, 2024

Synthetic Balancing of Cardiac MRI Datasets.

Carles García-Cabrera, Eric Arazo Sanchez, Enric Moreu, Kathleen M. Curran, Noel E. O'Connor, Kevin McGuinness

Proceedings of the Medical Image Understanding and Analysis - 28th Annual Conference, 2024

ConvLoRA and AdaBN Based Domain Adaptation via Self-Training.

Sidra Aleem, Julia Dietlmeier, Eric Arazo, Suzanne Little

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

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

Proceedings of the Computer Vision - ECCV 2024, 2024

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Joint one-sided synthetic unpaired image translation and segmentation for colorectal cancer prevention.

Enric Moreu, Eric Arazo, Kevin McGuinness, Noel E. O'Connor

Expert Syst. J. Knowl. Eng., July, 2023

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

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

Breathing Green: Maximising Health and Environmental Benefits for Active Transportation Users Leveraging Large Scale Air Quality Data.

Sen Yan, Shaoshu Zhu, Jaime B. Fernandez, Eric Arazo Sanchez, Yingqi Gu, Noel E. O'Connor, David O'Connor, Mingming Liu

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic Data.

Enric Moreu, Eric Arazo, Kevin McGuinness, Noel E. O'Connor

Proceedings of the International Joint Conference on Neural Networks, 2023

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

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Segmentation Enhanced Lameness Detection in Dairy Cows from RGB and Depth Video.

Eric Arazo, Robin Aly, Kevin McGuinness

CoRR, 2022

Addressing out-of-distribution label noise in webly-labelled data.

Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Cardiac Segmentation Using Transfer Learning Under Respiratory Motion Artifacts.

Carles García-Cabrera, Eric Arazo, Kathleen M. Curran, Noel E. O'Connor, Kevin McGuinness

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

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

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

ReLaB: Reliable Label Bootstrapping for Semi-Supervised Learning.

Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness

Proceedings of the International Joint Conference on Neural Networks, 2021

Multi-Objective Interpolation Training for Robustness To Label Noise.

Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

How Important is Importance Sampling for Deep Budgeted Training?

Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning.

Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Towards Robust Learning with Different Label Noise Distributions.

Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness

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

2019

Exploring the Impact of Training Data Bias on Automatic Generation of Video Captions.

Alan F. Smeaton, Yvette Graham, Kevin McGuinness, Noel E. O'Connor, Seán Quinn, Eric Arazo Sanchez

Proceedings of the MultiMedia Modeling - 25th International Conference, 2019

Unsupervised Label Noise Modeling and Loss Correction.

Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness

Proceedings of the 36th International Conference on Machine Learning, 2019

On guiding video object segmentation.

Diego Ortego, Kevin McGuinness, Juan C. SanMiguel, Eric Arazo, José M. Martínez, Noel E. O'Connor

Proceedings of the 2019 International Conference on Content-Based Multimedia Indexing, 2019

2017

Dublin City University Participation in the VTT Track at TRECVid 2017.

Haithem Afli, Feiyan Hu, Jinhua Du, Daniel Cosgrove, Kevin McGuinness, Noel E. O'Connor, Eric Arazo Sanchez, Jiang Zhou, Alan F. Smeaton

Proceedings of the 2017 TREC Video Retrieval Evaluation, 2017