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ORCIDKevin McGuinness
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- affiliation: Dublin City University
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2020 – today
- 2024
[j14]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): 1294-1301 (2024)- [c113]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. CVPR Workshops 2024: 3887-3899 - [c112]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. ECCV (49) 2024: 55-72 - [c111]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: 328-333 - [c110]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: 353-365 - [c109]Yasser Abdelaziz Dahou Djilali, Kevin McGuinness, Noel E. O'Connor:
Learning Saliency From Fixations. WACV 2024: 382-392 - [i76]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 abs/2402.09550 (2024) - [i75]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 abs/2407.05528 (2024) - 2023
- [j13]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): 873-912 (2023) - [j12]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) - [j11]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) - [c108]Carles García-Cabrera, Kathleen M. Curran, Noel E. O'Connor, Kevin McGuinness:
Cardiac Magnetic Resonance Phase Detection Using Neural Networks. AICS 2023: 1-4 - [c107]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: 394-401 - [c106]Yasser Abdelaziz Dahou Djilali, Kevin McGuinness, Noel E. O'Connor:
Vision Transformers are Inherently Saliency Learners. BMVC 2023: 771-774 - [c105]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: 3851-3869 - [c104]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: 160-164 - [c103]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: 262-271 - [c102]Enric Moreu, Eric Arazo, Kevin McGuinness, Noel E. O'Connor:
Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic Data. IJCNN 2023: 1-9 - [c101]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: 118-127 - [c100]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: 2050-2059 - [c99]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: 2727-2738 - [i74]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 abs/2301.04619 (2023) - [i73]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 abs/2301.09164 (2023) - [i72]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 abs/2301.11734 (2023) - [i71]Conor Brennan, Kevin McGuinness:
Site-specific Deep Learning Path Loss Models based on the Method of Moments. CoRR abs/2302.01052 (2023) - [i70]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 abs/2305.10115 (2023) - [i69]Enric Moreu, Eric Arazo, Kevin McGuinness, Noel E. O'Connor:
Joint one-sided synthetic unpaired image translation and segmentation for colorectal cancer prevention. CoRR abs/2307.11253 (2023) - [i68]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 abs/2307.11661 (2023) - [i67]Enric Moreu, Eric Arazo, Kevin McGuinness, Noel E. O'Connor:
Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic Data. CoRR abs/2307.12033 (2023) - [i66]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 abs/2310.01827 (2023) - [i65]Yasser Abdelaziz Dahou Djilali, Kevin McGuinness, Noel E. O'Connor:
Learning Saliency From Fixations. CoRR abs/2311.14073 (2023) - [i64]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 abs/2311.16514 (2023) - 2022
- [c98]Mayug Maniparambil, Kevin McGuinness, Noel E. O'Connor:
BaseTransformers: Attention over base data-points for One Shot Learning. BMVC 2022: 482 - [c97]Jiang Zhou, Kevin McGuinness, Joseph Antony, Noel E. O'Connor:
A Fine Grained Quality Assessment of Video Anomaly Detection. CBMI 2022: 29-35 - [c96]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: 1635-1645 - [c95]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: 402-419 - [c94]Margarita Geleta, Cristina Punti, Kevin McGuinness, Jordi Pons, Cristian Canton, Xavier Giró-i-Nieto:
Pixinwav: Residual Steganography for Hiding Pixels in Audio. ICASSP 2022: 2485-2489 - [c93]Luis Lebron, Yvette Graham, Noel E. O'Connor, Kevin McGuinness:
Evaluation of Automatically Generated Video Captions Using Vision and Language Models. ICIP 2022: 2416-2420 - [c92]Francisco Roldan Sanchez, Stephen J. Redmond, Kevin McGuinness, Noel E. O'Connor:
Towards advanced robotic manipulation. IRC 2022: 302-305 - [c91]Luis Lebron, Yvette Graham, Kevin McGuinness, Konstantinos Kouramas, Noel E. O'Connor:
BERTHA: Video Captioning Evaluation Via Transfer-Learned Human Assessment. LREC 2022: 1566-1575 - [c90]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: 392-398 - [c89]Julia Dietlmeier, Feiyan Hu, Frances Ryan, Noel E. O'Connor, Kevin McGuinness:
Improving Person Re-Identification with Temporal Constraints. WACV (Workshops) 2022: 540-549 - [c88]Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness:
Addressing out-of-distribution label noise in webly-labelled data. WACV 2022: 2393-2402 - [i63]Luis Lebron, Yvette Graham, Kevin McGuinness, Konstantinos Kouramas, Noel E. O'Connor:
BERTHA: Video Captioning Evaluation Via Transfer-Learned Human Assessment. CoRR abs/2201.10243 (2022) - [i62]Enric Moreu, Kevin McGuinness, Diego Ortego, Noel E. O'Connor:
Domain Randomization for Object Counting. CoRR abs/2202.08670 (2022) - [i61]Enric Moreu, Kevin McGuinness, Noel E. O'Connor:
Synthetic data for unsupervised polyp segmentation. CoRR abs/2202.08680 (2022) - [i60]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 abs/2204.08271 (2022) - [i59]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 abs/2204.09343 (2022) - [i58]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 abs/2205.09683 (2022) - [i57]Eric Arazo, Robin Aly, Kevin McGuinness:
Segmentation Enhanced Lameness Detection in Dairy Cows from RGB and Depth Video. CoRR abs/2206.04449 (2022) - [i56]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 abs/2207.01573 (2022) - [i55]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 abs/2207.12065 (2022) - [i54]Francisco Roldan Sanchez, Stephen James Redmond, Kevin McGuinness, Noel E. O'Connor:
Towards advanced robotic manipulation. CoRR abs/2209.08903 (2022) - [i53]Carles García-Cabrera, Eric Arazo, Kathleen M. Curran, Noel E. O'Connor, Kevin McGuinness:
Cardiac Segmentation using Transfer Learning under Respiratory Motion Artifacts. CoRR abs/2209.09714 (2022) - [i52]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 abs/2210.00507 (2022) - [i51]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 abs/2210.00795 (2022) - [i50]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 abs/2210.00824 (2022) - [i49]Mayug Maniparambil, Kevin McGuinness, Noel E. O'Connor:
BaseTransformers: Attention over base data-points for One Shot Learning. CoRR abs/2210.02476 (2022) - [i48]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 abs/2210.04578 (2022) - [i47]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 abs/2210.05574 (2022) - 2021
- [j10]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: 133156-133169 (2021) - [j9]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): 423-432 (2021) - [c87]Enric Moreu, Kevin McGuinness, Diego Ortego, Noel E. O'Connor:
Domain Randomization for Object Counting. AICS 2021: 25-35 - [c86]Enric Moreu, Kevin McGuinness, Noel E. O'Connor:
Synthetic Data for Unsupervised Polyp Segmentation. AICS 2021: 96-105 - [c85]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: 165-175 - [c84]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: 176-187 - [c83]Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
How Important is Importance Sampling for Deep Budgeted Training? BMVC 2021: 335 - [c82]Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
Multi-Objective Interpolation Training for Robustness To Label Noise. CVPR 2021: 6606-6615 - [c81]Eduardo Fonseca, Diego Ortego, Kevin McGuinness, Noel E. O'Connor, Xavier Serra:
Unsupervised Contrastive Learning of Sound Event Representations. ICASSP 2021: 371-375 - [c80]Yasser Abdelaziz Dahou Djilali, Tarun Krishna, Kevin McGuinness, Noel E. O'Connor:
Rethinking 360° Image Visual Attention Modelling with Unsupervised Learning. ICCV 2021: 15394-15404 - [c79]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: 1284-1293 - [c78]Yasser Abdelaziz Dahou Djilali, Kevin McGuinness, Noel E. O'Connor:
Simple baselines can fool 360° saliency metrics. ICCVW 2021: 3743-3749 - [c77]Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness:
ReLaB: Reliable Label Bootstrapping for Semi-Supervised Learning. IJCNN 2021: 1-8 - [c76]Tarun Krishna, Kevin McGuinness, Noel E. O'Connor:
Evaluating Contrastive Models for Instance-based Image Retrieval. ICMR 2021: 471-475 - [c75]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 Roldan 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: 190-204 - [c74]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: 637-644 - [i46]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 abs/2101.03198 (2021) - [i45]Tarun Krishna, Kevin McGuinness, Noel E. O'Connor:
Evaluating Contrastive Models for Instance-based Image Retrieval. CoRR abs/2104.14939 (2021) - [i44]Margarita Geleta, Cristina Punti, Kevin McGuinness, Jordi Pons, Cristian Canton, Xavier Giró-i-Nieto:
PixInWav: Residual Steganography for Hiding Pixels in Audio. CoRR abs/2106.09814 (2021) - [i43]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 abs/2106.10090 (2021) - [i42]Robert McCarthy, Francisco Roldan Sanchez, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond:
Real Robot Challenge using Deep Reinforcement Learning. CoRR abs/2109.15233 (2021) - [i41]Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness:
Addressing out-of-distribution label noise in webly-labelled data. CoRR abs/2110.13699 (2021) - [i40]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 abs/2110.13719 (2021) - [i39]Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
How Important is Importance Sampling for Deep Budgeted Training? CoRR abs/2110.14283 (2021) - [i38]Julia Dietlmeier, Feiyan Hu, Frances Ryan, Noel E. O'Connor, Kevin McGuinness:
Improving Person Re-Identification with Temporal Constraints. CoRR abs/2111.09056 (2021) - 2020
- [c73]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: 453-476 - [c72]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: 1-6 - [c71]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: 305-320 - [c70]Julia Dietlmeier, Joseph Antony, Kevin McGuinness, Noel E. O'Connor:
How important are faces for person re-identification? ICPR 2020: 6912-6919 - [c69]Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
Towards Robust Learning with Different Label Noise Distributions. ICPR 2020: 7020-7027 - [c68]Feiyan Hu, Kevin McGuinness:
FastSal: a Computationally Efficient Network for Visual Saliency Prediction. ICPR 2020: 9054-9061 - [c67]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: 149-155 - [c66]Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning. IJCNN 2020: 1-8 - [c65]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: 4512-4514 - [c64]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: 57-69 - [c63]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: 27-36 - [i37]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 abs/2005.00430 (2020) - [i36]Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness:
ReLaB: Reliable Label Bootstrapping for Semi-Supervised Learning. CoRR abs/2007.11866 (2020) - [i35]Feiyan Hu, Kevin McGuinness:
FastSal: a Computationally Efficient Network for Visual Saliency Prediction. CoRR abs/2008.11151 (2020) - [i34]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 abs/2010.01947 (2020) - [i33]Julia Dietlmeier, Joseph Antony, Kevin McGuinness, Noel E. O'Connor:
How important are faces for person re-identification? CoRR abs/2010.06307 (2020) - [i32]Eduardo Fonseca, Diego Ortego, Kevin McGuinness, Noel E. O'Connor, Xavier Serra:
Unsupervised Contrastive Learning of Sound Event Representations. CoRR abs/2011.07616 (2020) - [i31]Yasser Abdelaziz Dahou Djilali, Marouane Tliba, Kevin McGuinness, Noel E. O'Connor:
ATSal: An Attention Based Architecture for Saliency Prediction in 360 Videos. CoRR abs/2011.10600 (2020) - [i30]Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
Multi-Objective Interpolation Training for Robustness to Label Noise. CoRR abs/2012.04462 (2020) - [i29]Feiyan Hu, Eva Mohedano, Noel E. O'Connor, Kevin McGuinness:
Temporal Bilinear Encoding Network of Audio-Visual Features at Low Sampling Rates. CoRR abs/2012.10283 (2020)
2010 – 2019
- 2019
- [j8]Julia Dietlmeier, Kevin McGuinness, Sandra Rugonyi, Teresa Wilson, Alfred L. Nuttall, Noel E. O'Connor:
Few-shot hypercolumn-based mitochondria segmentation in cardiac and outer hair cells in focused ion beam-scanning electron microscopy (FIB-SEM) data. Pattern Recognit. Lett. 128: 521-528 (2019) - [c62]Panagiotis Linardos, Eva Mohedano, Juan José Nieto, Noel E. O'Connor, Xavier Giró-i-Nieto, Kevin McGuinness:
Simple vs complex temporal recurrences for video saliency prediction. BMVC 2019: 182 - [c61]Diego Ortego, Kevin McGuinness, Juan C. SanMiguel, Eric Arazo, José M. Martínez, Noel E. O'Connor:
On guiding video object segmentation. CBMI 2019: 1-6 - [c60]Amanda Cardoso Duarte, Francisco Roldan, Miquel Tubau, Janna Escur, Santiago Pascual, Amaia Salvador, Eva Mohedano, Kevin McGuinness, Jordi Torres, Xavier Giró-i-Nieto:
WAV2PIX: Speech-conditioned Face Generation using Generative Adversarial Networks. CVPR Workshops 2019: 21-24 - [c59]Amanda Cardoso Duarte, Francisco Roldan, Miquel Tubau, Janna Escur, Santiago Pascual, Amaia Salvador, Eva Mohedano, Kevin McGuinness, Jordi Torres, Xavier Giró-i-Nieto:
Wav2Pix: Speech-conditioned Face Generation Using Generative Adversarial Networks. ICASSP 2019: 8633-8637 - [c58]Federico Magliani, Kevin McGuinness, Eva Mohedano, Andrea Prati:
An Efficient Approximate kNN Graph Method for Diffusion on Image Retrieval. ICIAP (2) 2019: 537-548 - [c57]Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
Unsupervised Label Noise Modeling and Loss Correction. ICML 2019: 312-321 - [c56]Panagiotis Linardos, Suzanne Little, Kevin McGuinness:
MediaEval 2019: Concealed FGSM Perturbations for Privacy Preservation. MediaEval 2019 - [c55]Marc Górriz, Joseph Antony, Kevin McGuinness, Xavier Giró-i-Nieto, Noel E. O'Connor:
Assessing Knee OA Severity with CNN attention-based end-to-end architectures. MIDL 2019: 197-214 - [c54]Alan F. Smeaton, Yvette Graham, Kevin McGuinness, Noel E. O'Connor, Seán Quinn, Eric Arazo Sanchez:
Exploring the Impact of Training Data Bias on Automatic Generation of Video Captions. MMM (1) 2019: 178-190 - [c53]