Eric Arazo

38 papers A* 2A 4B 4C 1Journal 21Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Extreme cardiac MRI analysis under respiratory motion: Results of the CMRxMotion challenge.
Medical Image Anal.
Kang Wang, Chen Qin, Zhang Shi, Haoran Wang, Xiwen Zhang, Chen Chen, Cheng Ouyang, Chengliang Dai, Yuanhan Mo, Chenchen Dai, Xutong Kuang, Ruizhe Li, Xin Chen, Xiuzheng Yue, Song Tian, Alejandro Mora-Rubio, Kumaradevan Punithakumar, Shizhan Gong, Qi Dou, Sina Amirrajab, Yasmina Al Khalil, Cian M. Scannell, Lexiaozi Fan, Huili Yang, Xiaowu Sun, Rob J. van der Geest, Tewodros Weldebirhan Arega, Fabrice Mériaudeau, Caner Özer, Amin Ranem, John Kalkhof, Ilkay Öksüz, Anirban Mukhopadhyay, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Carles García-Cabrera, Eric Arazo, Michal K. Grzeszczyk, Szymon Plotka, Wanqin Ma, Xiaomeng Li, Rongjun Ge, Yongqing Kou, Xinrong Chen, He Wang, Chengyan Wang, Wenjia Bai, Shuo Wang
2025 J jnl
Emergent AI Surveillance: Overlearned Person Re-Identification and Its Mitigation in Law Enforcement Context.
CoRR
An Thi Nguyen, Radina Stoykova, Eric Arazo
2025 J jnl
Extreme Cardiac MRI Analysis under Respiratory Motion: Results of the CMRxMotion Challenge.
CoRR
Kang Wang, Chen Qin, Zhang Shi, Haoran Wang, Xiwen Zhang, Chen Chen, Cheng Ouyang, Chengliang Dai, Yuanhan Mo, Chenchen Dai, Xutong Kuang, Ruizhe Li, Xin Chen, Xiuzheng Yue, Song Tian, Alejandro Mora-Rubio, Kumaradevan Punithakumar, Shizhan Gong, Qi Dou, Sina Amirrajab, Yasmina Al Khalil, Cian M. Scannell, Lexiaozi Fan, Huili Yang, Xiaowu Sun, Rob J. van der Geest, Tewodros Weldebirhan Arega, Fabrice Mériaudeau, Caner Özer, Amin Ranem, John Kalkhof, Ilkay Öksüz, Anirban Mukhopadhyay, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Carles García-Cabrera, Eric Arazo, Michal K. Grzeszczyk, Szymon Plotka, Wanqin Ma, Xiaomeng Li, Rongjun Ge, Yongqing Kou, Xinrong Chen, He Wang, Chengyan Wang, Wenjia Bai, Shuo Wang
2025 J jnl
Uncertainty Makes It Stable: Curiosity-Driven Quantized Mixture-of-Experts.
CoRR
Sebastián A. Cajas Ordóñez, Luis Fernando Torres Torres, Mackenzie J. Meni, Carlos Andrés Duran Paredes, Eric Arazo, Cristian Bosch, Ricardo Simón Carbajo, Yuan Lai, Leo Anthony Celi
2024 — conf
An Accurate Detection Is Not All You Need to Combat Label Noise in Web-Noisy Datasets.
ECCV (49)
Paul Albert, Jack Valmadre, Eric Arazo, Tarun Krishna, Noel E. O'Connor, Kevin McGuinness
2024 J jnl
An accurate detection is not all you need to combat label noise in web-noisy datasets.
CoRR
Paul Albert, Jack Valmadre, Eric Arazo, Tarun Krishna, Noel E. O'Connor, Kevin McGuinness
2024 — conf
ConvLoRA and AdaBN Based Domain Adaptation via Self-Training.
ISBI
Sidra Aleem, Julia Dietlmeier, Eric Arazo, Suzanne Little
2024 J jnl
ConvLoRA and AdaBN based Domain Adaptation via Self-Training.
CoRR
Sidra Aleem, Julia Dietlmeier, Eric Arazo, Suzanne Little
2024 J jnl
Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero shot Medical Image Segmentation.
CoRR
Sidra Aleem, Fangyijie Wang, Mayug Maniparambil, Eric Arazo, Julia Dietlmeier, Guénolé C. M. Silvestre, Kathleen M. Curran, Noel E. O'Connor, Suzanne Little
2024 — conf
Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero-shot Medical Image Segmentation.
CVPR Workshops
Sidra Aleem, Fangyijie Wang, Mayug Maniparambil, Eric Arazo, Julia Dietlmeier, Kathleen M. Curran, Noel E. O'Connor, Suzanne Little
2024 — conf
Xpression: A Unifying Metric to Optimize Compression and Explainability Robustness of AI Models.
xAI (1)
Eric Arazo, Hristo Stoev, Cristian Bosch, Andrés L. Suárez-Cetrulo, Ricardo Simón Carbajo
2023 A conf
Is your noise correction noisy? PLS: Robustness to label noise with two stage detection.
WACV
Paul Albert, Eric Arazo, Tarun Krishna, Noel E. O'Connor, Kevin McGuinness
2023 J jnl
Joint one-sided synthetic unpaired image translation and segmentation for colorectal cancer prevention.
CoRR
Enric Moreu, Eric Arazo, Kevin McGuinness, Noel E. O'Connor
2023 J jnl
Joint one-sided synthetic unpaired image translation and segmentation for colorectal cancer prevention.
Expert Syst. J. Knowl. Eng.
Enric Moreu, Eric Arazo, Kevin McGuinness, Noel E. O'Connor
2023 B conf
Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic Data.
IJCNN
Enric Moreu, Eric Arazo, Kevin McGuinness, Noel E. O'Connor
2023 J jnl
Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic Data.
CoRR
Enric Moreu, Eric Arazo, Kevin McGuinness, Noel E. O'Connor
2023 A conf
Unifying Synergies between Self-supervised Learning and Dynamic Computation.
BMVC
Tarun Krishna, Ayush K. Rai, Alexandru Drimbarean, Eric Arazo, Paul Albert, Alan F. Smeaton, Kevin McGuinness, Noel E. O'Connor
2022 A conf
Addressing out-of-distribution label noise in webly-labelled data.
WACV
Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness
2022 — conf
Cardiac Segmentation Using Transfer Learning Under Respiratory Motion Artifacts.
STACOM@MICCAI
Carles García-Cabrera, Eric Arazo, Kathleen M. Curran, Noel E. O'Connor, Kevin McGuinness
2022 J jnl
Cardiac Segmentation using Transfer Learning under Respiratory Motion Artifacts.
CoRR
Carles García-Cabrera, Eric Arazo, Kathleen M. Curran, Noel E. O'Connor, Kevin McGuinness
2022 — conf
Embedding Contrastive Unsupervised Features to Cluster In- And Out-of-Distribution Noise in Corrupted Image Datasets.
ECCV (31)
Paul Albert, Eric Arazo, Noel E. O'Connor, Kevin McGuinness
2022 J jnl
Embedding contrastive unsupervised features to cluster in- and out-of-distribution noise in corrupted image datasets.
CoRR
Paul Albert, Eric Arazo, Noel E. O'Connor, Kevin McGuinness
2022 J jnl
Is your noise correction noisy? PLS: Robustness to label noise with two stage detection.
CoRR
Paul Albert, Eric Arazo, Tarun Krishna, Noel E. O'Connor, Kevin McGuinness
2022 J jnl
Segmentation Enhanced Lameness Detection in Dairy Cows from RGB and Depth Video.
CoRR
Eric Arazo, Robin Aly, Kevin McGuinness
2021 J jnl
Addressing out-of-distribution label noise in webly-labelled data.
CoRR
Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness
2021 A conf
How Important is Importance Sampling for Deep Budgeted Training?
BMVC
Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness
2021 J jnl
How Important is Importance Sampling for Deep Budgeted Training?
CoRR
Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness
2021 A* conf
Multi-Objective Interpolation Training for Robustness To Label Noise.
CVPR
Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness
2021 B conf
ReLaB: Reliable Label Bootstrapping for Semi-Supervised Learning.
IJCNN
Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness
2020 J jnl
Multi-Objective Interpolation Training for Robustness to Label Noise.
CoRR
Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness
2020 B conf
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning.
IJCNN
Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness
2020 J jnl
ReLaB: Reliable Label Bootstrapping for Semi-Supervised Learning.
CoRR
Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness
2020 B conf
Towards Robust Learning with Different Label Noise Distributions.
ICPR
Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness
2019 C conf
On guiding video object segmentation.
CBMI
Diego Ortego, Kevin McGuinness, Juan C. SanMiguel, Eric Arazo, José M. Martínez, Noel E. O'Connor
2019 J jnl
On guiding video object segmentation.
CoRR
Diego Ortego, Kevin McGuinness, Juan C. SanMiguel, Eric Arazo, José M. Martínez, Noel E. O'Connor
2019 J jnl
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning.
CoRR
Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness
2019 J jnl
Towards Robust Learning with Different Label Noise Distributions.
CoRR
Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness
2019 A* conf
Unsupervised Label Noise Modeling and Loss Correction.
ICML
Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness