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 (TRECVID, 2017)

On guiding video object segmentation. - Diego Ortego; Kevin McGuinness; Juan C. SanMiguel; Eric Arazo; José M. Martínez 001; Noel E. O'Connor (CBMI, 2019)

Unsupervised Label Noise Modeling and Loss Correction. - Eric Arazo; Diego Ortego; Paul Albert; Noel E. O'Connor; Kevin McGuinness (ICML, 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 (MMM (1), 2019)

Towards Robust Learning with Different Label Noise Distributions. - Diego Ortego; Eric Arazo; Paul Albert; Noel E. O'Connor; Kevin McGuinness (ICPR, 2020)

Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning. - Eric Arazo; Diego Ortego; Paul Albert; Noel E. O'Connor; Kevin McGuinness (IJCNN, 2020)

How Important is Importance Sampling for Deep Budgeted Training? - Eric Arazo; Diego Ortego; Paul Albert; Noel E. O'Connor; Kevin McGuinness (BMVC, 2021)

Multi-Objective Interpolation Training for Robustness To Label Noise. - Diego Ortego; Eric Arazo; Paul Albert; Noel E. O'Connor; Kevin McGuinness (CVPR, 2021)

ReLaB: Reliable Label Bootstrapping for Semi-Supervised Learning. - Paul Albert; Diego Ortego; Eric Arazo; Noel E. O'Connor; Kevin McGuinness (IJCNN, 2021)

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 (ECCV (31), 2022)

Cardiac Segmentation Using Transfer Learning Under Respiratory Motion Artifacts. - Carles García-Cabrera; Eric Arazo; Kathleen M. Curran; Noel E. O'Connor; Kevin McGuinness (STACOM@MICCAI, 2022)

Addressing out-of-distribution label noise in webly-labelled data. - Paul Albert; Diego Ortego; Eric Arazo; Noel E. O'Connor; Kevin McGuinness (WACV, 2022)

Segmentation Enhanced Lameness Detection in Dairy Cows from RGB and Depth Video. - Eric Arazo; Robin Aly; Kevin McGuinness (CoRR, 2022)

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 (BMVC, 2023)

Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic Data. - Enric Moreu; Eric Arazo; Kevin McGuinness; Noel E. O'Connor (IJCNN, 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 001 (ITSC, 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 (WACV, 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., 2023)

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 (CVPR Workshops, 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 (ECCV (49), 2024)

ConvLoRA and AdaBN Based Domain Adaptation via Self-Training. - Sidra Aleem; Julia Dietlmeier; Eric Arazo; Suzanne Little (ISBI, 2024)

Synthetic Balancing of Cardiac MRI Datasets. - Carles García-Cabrera; Eric Arazo Sanchez; Enric Moreu; Kathleen M. Curran; Noel E. O'Connor; Kevin McGuinness (MIUA (2), 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 (xAI (1), 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 C. M. Silvestre; Kathleen M. Curran; Noel E. O'Connor; Suzanne Little (CoRR, 2024)

Extreme Cardiac MRI Analysis under Respiratory Motion: Results of the CMRxMotion Challenge. - Kang Wang; Chen Qin; Zhang Shi; Haoran Wang 009; Xiwen Zhang; Chen Chen 042; Cheng Ouyang; Chengliang Dai; Yuanhan Mo; Chenchen Dai; Xutong Kuang; Ruizhe Li; et al. (CoRR, 2025)