Kevin McGuinness

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 165

Top Venues

Publications

Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Stephen J. Redmond, Noel E. O'Connor
Learning and Reusing Primitive Behaviours to Improve Hindsight Experience Replay Sample Efficiency. ICARA (2024)
Carles García-Cabrera, Eric Arazo Sanchez, Enric Moreu, Kathleen M. Curran, Noel E. O'Connor, Kevin McGuinness
Synthetic Balancing of Cardiac MRI Datasets. MIUA (2) (2024)
Yasser Abdelaziz Dahou Djilali, Kevin McGuinness, Noel E. O'Connor
Learning Saliency From Fixations. WACV (2024)
Qiang Wang, Robert McCarthy, David Cordova Bulens, Francisco Roldan Sanchez, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond
Identifying Expert Behavior in Offline Training Datasets Improves Behavioral Cloning of Robotic Manipulation Policies. IEEE Robotics Autom. Lett. 9 (2) (2024)
Paul Albert, Jack Valmadre, Eric Arazo, Tarun Krishna, Noel E. O'Connor, Kevin McGuinness
An accurate detection is not all you need to combat label noise in web-noisy datasets. CoRR (2024)
Qiang Wang, Yixin Deng, Francisco Roldan Sanchez, Keru Wang, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond
Dataset Clustering for Improved Offline Policy Learning. CoRR (2024)
Mayug Maniparambil, Chris Vorster, Derek Molloy, Noel Murphy, Kevin McGuinness, Noel E. O'Connor
Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts. CoRR (2023)
Conor Brennan, Kevin McGuinness
Site-specific Deep Learning Path Loss Models based on the Method of Moments. CoRR (2023)
Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Stephen J. Redmond, Noel E. O'Connor
Learning and reusing primitive behaviours to improve Hindsight Experience Replay sample efficiency. CoRR (2023)
Ayush K. Rai, Tarun Krishna, Julia Dietlmeier, Kevin McGuinness, Alan F. Smeaton, Noel E. O'Connor
Motion Aware Self-Supervision for Generic Event Boundary Detection. WACV (2023)
Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Stephen J. Redmond, Noel E. O'Connor
Hierarchical Reinforcement Learning for In-hand Robotic Manipulation Using Davenport Chained Rotations. ICARA (2023)
Enric Moreu, Eric Arazo, Kevin McGuinness, Noel E. O'Connor
Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic Data. IJCNN (2023)
Yasser Abdelaziz Dahou Djilali, Kevin McGuinness, Noel E. O'Connor
Learning Saliency From Fixations. CoRR (2023)
Qiang Wang, Robert McCarthy, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Francisco Roldan Sanchez, Nico Gürtler, Felix Widmaier, Stephen J. Redmond
Improving Behavioural Cloning with Positive Unlabeled Learning. CoRL (2023)
Qiang Wang, Robert McCarthy, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Francisco Roldan Sanchez, Stephen J. Redmond
Behaviour Discriminator: A Simple Data Filtering Method to Improve Offline Policy Learning. CoRR (2023)
Ayush K. Rai, Tarun Krishna, Feiyan Hu, Alexandru Drimbarean, Kevin McGuinness, Alan F. Smeaton, Noel E. O'Connor
Video Anomaly Detection via Spatio-Temporal Pseudo-Anomaly Generation : A Unified Approach. CoRR (2023)
Yasser Abdelaziz Dahou Djilali, Kevin McGuinness, Noel E. O'Connor
Vision Transformers are Inherently Saliency Learners. BMVC (2023)
Enric Moreu, Eric Arazo, Kevin McGuinness, Noel E. O'Connor
Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic Data. CoRR (2023)
Ashish Singh, Antonio Bevilacqua, Thach Le Nguyen, Feiyan Hu, Kevin McGuinness, Martin O'Reilly, Darragh Whelan, Brian Caulfield, Georgiana Ifrim
Fast and robust video-based exercise classification via body pose tracking and scalable multivariate time series classifiers. Data Min. Knowl. Discov. 37 (2) (2023)
Qiang Wang, Francisco Roldan Sanchez, Robert McCarthy, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Manuel Wüthrich, Felix Widmaier, Stefan Bauer, Stephen J. Redmond
Dexterous robotic manipulation using deep reinforcement learning and knowledge transfer for complex sparse reward-based tasks. Expert Syst. J. Knowl. Eng. 40 (6) (2023)
Enric Moreu, Eric Arazo, Kevin McGuinness, Noel E. O'Connor
Joint one-sided synthetic unpaired image translation and segmentation for colorectal cancer prevention. CoRR (2023)
Enric Moreu, Eric Arazo, Kevin McGuinness, Noel E. O'Connor
Joint one-sided synthetic unpaired image translation and segmentation for colorectal cancer prevention. Expert Syst. J. Knowl. Eng. 40 (6) (2023)
Feiyan Hu, Simone Palazzo, Federica Proietto Salanitri, Giovanni Bellitto, Morteza Moradi, Concetto Spampinato, Kevin McGuinness
TinyHD: Efficient Video Saliency Prediction with Heterogeneous Decoders using Hierarchical Maps Distillation. CoRR (2023)
Carles García-Cabrera, Kathleen M. Curran, Noel E. O'Connor, Kevin McGuinness
Cardiac Magnetic Resonance Phase Detection Using Neural Networks. AICS (2023)
Paul Albert, Eric Arazo, Tarun Krishna, Noel E. O'Connor, Kevin McGuinness
Is your noise correction noisy? PLS: Robustness to label noise with two stage detection. WACV (2023)
Sidra Aleem, Mayug Maniparambil, Suzanne Little, Noel E. O'Connor, Kevin McGuinness
An Ensemble Deep Learning Approach for COVID-19 Severity Prediction Using Chest CT Scans. CoRR (2023)
Tarun Krishna, Ayush K. Rai, Alexandru Drimbarean, Alan F. Smeaton, Kevin McGuinness, Noel E. O'Connor
Unifying Synergies between Self-supervised Learning and Dynamic Computation. CoRR (2023)
Mayug Maniparambil, Chris Vorster, Derek Molloy, Noel Murphy, Kevin McGuinness, Noel E. O'Connor
Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts. ICCV (Workshops) (2023)
Feiyan Hu, Simone Palazzo, Federica Proietto Salanitri, Giovanni Bellitto, Morteza Moradi, Concetto Spampinato, Kevin McGuinness
TinyHD: Efficient Video Saliency Prediction with Heterogeneous Decoders using Hierarchical Maps Distillation. WACV (2023)
Tarun Krishna, Ayush K. Rai, Alexandru Drimbarean, Eric Arazo, Paul Albert, Alan F. Smeaton, Kevin McGuinness, Noel E. O'Connor
Unifying Synergies between Self-supervised Learning and Dynamic Computation. BMVC (2023)
Francisco Roldan Sanchez, Stephen James Redmond, Kevin McGuinness, Noel E. O'Connor
Towards advanced robotic manipulation. CoRR (2022)
Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness
Addressing out-of-distribution label noise in webly-labelled data. WACV (2022)
Mayug Maniparambil, Kevin McGuinness, Noel E. O'Connor
BaseTransformers: Attention over base data-points for One Shot Learning. BMVC (2022)
Mayug Maniparambil, Kevin McGuinness, Noel E. O'Connor
BaseTransformers: Attention over base data-points for One Shot Learning. CoRR (2022)
Luis Lebron, Yvette Graham, Noel E. O'Connor, Kevin McGuinness
Evaluation of Automatically Generated Video Captions Using Vision and Language Models. ICIP (2022)
Tarun Krishna, Ayush K. Rai, Yasser Abdelaziz Dahou Djilali, Alan F. Smeaton, Kevin McGuinness, Noel E. O'Connor
Dynamic Channel Selection in Self-Supervised Learning. CoRR (2022)
Paul Albert, Mohamed Saadeldin, Badri Narayanan, Brian Mac Namee, Deirdre Hennessy, Aisling H. O'Connor, Noel E. O'Connor, Kevin McGuinness
Utilizing unsupervised learning to improve sward content prediction and herbage mass estimation. CoRR (2022)
Carles García-Cabrera, Eric Arazo, Kathleen M. Curran, Noel E. O'Connor, Kevin McGuinness
Cardiac Segmentation using Transfer Learning under Respiratory Motion Artifacts. CoRR (2022)
Carles García-Cabrera, Eric Arazo, Kathleen M. Curran, Noel E. O'Connor, Kevin McGuinness
Cardiac Segmentation Using Transfer Learning Under Respiratory Motion Artifacts. STACOM@MICCAI (2022)
Julia Dietlmeier, Feiyan Hu, Frances Ryan, Noel E. O'Connor, Kevin McGuinness
Improving Person Re-Identification with Temporal Constraints. WACV (Workshops) (2022)
Paul Albert, Mohamed Saadeldin, Badri Narayanan, Brian Mac Namee, Deirdre Hennessy, Noel E. O'Connor, Kevin McGuinness
Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation. CVPR Workshops (2022)
Luis Lebron, Yvette Graham, Kevin McGuinness, Konstantinos Kouramas, Noel E. O'Connor
BERTHA: Video Captioning Evaluation Via Transfer-Learned Human Assessment. LREC (2022)
Margarita Geleta, Cristina Punti, Kevin McGuinness, Jordi Pons, Cristian Canton, Xavier Giró-i-Nieto
Pixinwav: Residual Steganography for Hiding Pixels in Audio. ICASSP (2022)
Luis Lebron, Yvette Graham, Kevin McGuinness, Konstantinos Kouramas, Noel E. O'Connor
BERTHA: Video Captioning Evaluation Via Transfer-Learned Human Assessment. CoRR (2022)
Paul Albert, Eric Arazo, Noel E. O'Connor, Kevin McGuinness
Embedding contrastive unsupervised features to cluster in- and out-of-distribution noise in corrupted image datasets. CoRR (2022)
Sidra Aleem, Teerath Kumar, Suzanne Little, Malika Bendechache, Rob Brennan, Kevin McGuinness
Random Data Augmentation based Enhancement: A Generalized Enhancement Approach for Medical Datasets. CoRR (2022)
Paul Albert, Eric Arazo, Noel E. O'Connor, Kevin McGuinness
Embedding Contrastive Unsupervised Features to Cluster In- And Out-of-Distribution Noise in Corrupted Image Datasets. ECCV (31) (2022)
Enric Moreu, Kevin McGuinness, Noel E. O'Connor
Synthetic data for unsupervised polyp segmentation. CoRR (2022)
Paul Albert, Mohamed Saadeldin, Badri Narayanan, Jaime B. Fernandez, Brian Mac Namee, Deirdre Hennessy, Noel E. O'Connor, Kevin McGuinness
Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation. CoRR (2022)
Qiang Wang, Francisco Roldan Sanchez, Robert McCarthy, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Manuel Wüthrich, Felix Widmaier, Stefan Bauer, Stephen J. Redmond
Dexterous Robotic Manipulation using Deep Reinforcement Learning and Knowledge Transfer for Complex Sparse Reward-based Tasks. CoRR (2022)
Ashish Singh, Antonio Bevilacqua, Thach Le Nguyen, Feiyan Hu, Kevin McGuinness, Martin O'Reilly, Darragh Whelan, Brian Caulfield, Georgiana Ifrim
Fast and Robust Video-Based Exercise Classification via Body Pose Tracking and Scalable Multivariate Time Series Classifiers. CoRR (2022)
Eric Arazo, Robin Aly, Kevin McGuinness
Segmentation Enhanced Lameness Detection in Dairy Cows from RGB and Depth Video. CoRR (2022)
Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Stephen J. Redmond, Noel E. O'Connor
Hierarchical reinforcement learning for in-hand robotic manipulation using Davenport chained rotations. CoRR (2022)
Ayush K. Rai, Tarun Krishna, Julia Dietlmeier, Kevin McGuinness, Alan F. Smeaton, Noel E. O'Connor
Motion Aware Self-Supervision for Generic Event Boundary Detection. CoRR (2022)
Enric Moreu, Kevin McGuinness, Diego Ortego, Noel E. O'Connor
Domain Randomization for Object Counting. CoRR (2022)
Jiang Zhou, Kevin McGuinness, Joseph Antony, Noel E. O'Connor
A Fine Grained Quality Assessment of Video Anomaly Detection. CBMI (2022)
Francisco Roldan Sanchez, Stephen J. Redmond, Kevin McGuinness, Noel E. O'Connor
Towards advanced robotic manipulation. IRC (2022)
Paul Albert, Eric Arazo, Tarun Krishna, Noel E. O'Connor, Kevin McGuinness
Is your noise correction noisy? PLS: Robustness to label noise with two stage detection. CoRR (2022)
Paul Albert, Mohamed Saadeldin, Badri Narayanan, Brian Mac Namee, Deirdre Hennessy, Aisling O'Connor, Noel E. O'Connor, Kevin McGuinness
Semi-supervised dry herbage mass estimation using automatic data and synthetic images. CoRR (2021)
Tarun Krishna, Kevin McGuinness, Noel E. O'Connor
Evaluating Contrastive Models for Instance-based Image Retrieval. ICMR (2021)
Badri Narayanan, Mohamed Saadeldin, Paul Albert, Kevin McGuinness, Brian Mac Namee
Extracting Pasture Phenotype and Biomass Percentages using Weakly Supervised Multi-target Deep Learning on a Small Dataset. CoRR (2021)
John Patrick Sexton, Anderson Augusto Simiscuka, Kevin McGuinness, Gabriel-Miro Muntean
Automatic CNN-Based Enhancement of 360° Video Experience With Multisensorial Effects. IEEE Access 9 (2021)
Yasser Abdelaziz Dahou Djilali, Tarun Krishna, Kevin McGuinness, Noel E. O'Connor
Rethinking 360° Image Visual Attention Modelling with Unsupervised Learning. ICCV (2021)
Stefan Bauer, Manuel Wüthrich, Felix Widmaier, Annika Buchholz, Sebastian Stark, Anirudh Goyal, Thomas Steinbrenner, Joel Akpo, Shruti Joshi, Vincent Berenz, Vaibhav Agrawal, Niklas Funk, Julen Urain De Jesus, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Junwu Zhang, Jeffrey Zhang, Matthew R. Walter, Rishabh Madan, Takuma Yoneda, Denis Yarats, Arthur Allshire, Ethan K. Gordon, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa, Animesh Garg, Takahiro Maeda, Harshit Sikchi, Jilong Wang, Qingfeng Yao, Shuyu Yang, Robert McCarthy, Francisco Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond, Bernhard Schölkopf
Real Robot Challenge: A Robotics Competition in the Cloud. NeurIPS (Competition and Demos) (2021)
Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness
How Important is Importance Sampling for Deep Budgeted Training? CoRR (2021)
Julia Dietlmeier, Feiyan Hu, Frances Ryan, Noel E. O'Connor, Kevin McGuinness
Improving Person Re-Identification with Temporal Constraints. CoRR (2021)
Ayush K. Rai, Tarun Krishna, Julia Dietlmeier, Kevin McGuinness, Alan F. Smeaton, Noel E. O'Connor
Discerning Generic Event Boundaries in Long-Form Wild Videos. CoRR (2021)
Tarun Krishna, Kevin McGuinness, Noel E. O'Connor
Evaluating Contrastive Models for Instance-based Image Retrieval. CoRR (2021)
Yasser Abdelaziz Dahou Djilali, Kevin McGuinness, Noel E. O'Connor
Simple baselines can fool 360° saliency metrics. ICCVW (2021)
Szymon Sobczak, Rafal Kapela, Kevin McGuinness, Aleksandra Swietlicka, Dariusz Pazderski, Noel E. O'Connor
Restricted Boltzmann machine as an aggregation technique for binary descriptors. Vis. Comput. 37 (3) (2021)
Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness
Multi-Objective Interpolation Training for Robustness To Label Noise. CVPR (2021)
Eduardo Fonseca, Diego Ortego, Kevin McGuinness, Noel E. O'Connor, Xavier Serra
Unsupervised Contrastive Learning of Sound Event Representations. ICASSP (2021)
Badri Narayanan, Mohamed Saadeldin, Paul Albert, Kevin McGuinness, Noel E. O'Connor, Brian Mac Namee
Adaptation of Compositional Data Analysis in Deep Learning to Predict Pasture Biomass Proportions. AICS (2021)
Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness
ReLaB: Reliable Label Bootstrapping for Semi-Supervised Learning. IJCNN (2021)
Margarita Geleta, Cristina Punti, Kevin McGuinness, Jordi Pons, Cristian Canton, Xavier Giró-i-Nieto
PixInWav: Residual Steganography for Hiding Pixels in Audio. CoRR (2021)
Robert McCarthy, Francsico Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond
Solving the Real Robot Challenge Using Deep Reinforcement Learning. AICS (2021)
Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness
How Important is Importance Sampling for Deep Budgeted Training? BMVC (2021)
Enric Moreu, Kevin McGuinness, Diego Ortego, Noel E. O'Connor
Domain Randomization for Object Counting. AICS (2021)
Enric Moreu, Kevin McGuinness, Noel E. O'Connor
Synthetic Data for Unsupervised Polyp Segmentation. AICS (2021)
Robert McCarthy, Francisco Roldan Sanchez, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond
Real Robot Challenge using Deep Reinforcement Learning. CoRR (2021)
Paul Albert, Mohamed Saadeldin, Badri Narayanan, Brian Mac Namee, Deirdre Hennessy, Aisling O'Connor, Noel E. O'Connor, Kevin McGuinness
Semi-supervised dry herbage mass estimation using automatic data and synthetic images. ICCVW (2021)
Feiyan Hu, Eva Mohedano, Noel E. O'Connor, Kevin McGuinness
Temporal Bilinear Encoding Network of Audio-visual Features at Low Sampling Rates. VISIGRAPP (5: VISAPP) (2021)
Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness
Addressing out-of-distribution label noise in webly-labelled data. CoRR (2021)
Yasser Abdelaziz Dahou Djilali, Mohamed Sayah, Kevin McGuinness, Noel E. O'Connor
3DSAL: An Efficient 3D-CNN Architecture for Video Saliency Prediction. VISIGRAPP (4: VISAPP) (2020)
Mark Marsden, Kevin McGuinness, Joseph Antony, Haolin Wei, Milan D. Redzic, Jian Tang, Zhilan Hu, Alan F. Smeaton, Noel E. O'Connor
Investigating Class-level Difficulty Factors in Multi-label Classification Problems. CoRR (2020)
Yasser Abdelaziz Dahou Djilali, Mohamed Sayah, Kevin McGuinness, Noel E. O'Connor
On the Use of 3D CNNs for Video Saliency Modeling. VISIGRAPP (Revised Selected Papers) (2020)
Mark Marsden, Kevin McGuinness, Joseph Antony, Haolin Wei, Milan D. Redzic, Jian Tang, Zhilan Hu, Alan F. Smeaton, Noel E. O'Connor
Investigating Class-Level Difficulty Factors In Multi-Label Classification Problems. ICME (2020)
Feiyan Hu, Eva Mohedano, Noel E. O'Connor, Kevin McGuinness
Temporal Bilinear Encoding Network of Audio-Visual Features at Low Sampling Rates. CoRR (2020)
Bharathi Raja Chakravarthi, Navaneethan Rajasekaran, Mihael Arcan, Kevin McGuinness, Noel E. O'Connor, John P. McCrae
Bilingual Lexicon Induction across Orthographically-distinct Under-Resourced Dravidian Languages. VarDial@COLING (2020)
David Azcona, Kevin McGuinness, Alan F. Smeaton
A Comparative Study of Existing and New Deep Learning Methods for Detecting Knee Injuries using the MRNet Dataset. CoRR (2020)
Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning. IJCNN (2020)
Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness
ReLaB: Reliable Label Bootstrapping for Semi-Supervised Learning. CoRR (2020)
Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness
Towards Robust Learning with Different Label Noise Distributions. ICPR (2020)
David Azcona, Kevin McGuinness, Alan F. Smeaton
A Comparative Study of Existing and New Deep Learning Methods for Detecting Knee Injuries using the MRNet Dataset. IDSTA (2020)
Eduardo Fonseca, Diego Ortego, Kevin McGuinness, Noel E. O'Connor, Xavier Serra
Unsupervised Contrastive Learning of Sound Event Representations. CoRR (2020)
Yasser Dahou, Marouane Tliba, Kevin McGuinness, Noel E. O'Connor
ATSal: An Attention Based Architecture for Saliency Prediction in 360$^\circ $ Videos. ICPR Workshops (3) (2020)
Feiyan Hu, Kevin McGuinness
FastSal: a Computationally Efficient Network for Visual Saliency Prediction. CoRR (2020)
Yasser Abdelaziz Dahou Djilali, Marouane Tliba, Kevin McGuinness, Noel E. O'Connor
ATSal: An Attention Based Architecture for Saliency Prediction in 360 Videos. CoRR (2020)
Julia Dietlmeier, Joseph Antony, Kevin McGuinness, Noel E. O'Connor
How important are faces for person re-identification? CoRR (2020)
Sha Yu, Kevin McGuinness, Patricia Moore, David Azcona, Noel E. O'Connor
A Smart-Site-Survey System using Image-based 3D Metric Reconstruction and Interactive Panorama Visualization. ACM Multimedia (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kevin McGuinness