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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]Luis Lebron, Kevin McGuinness, Noel E. O'Connor:
INSIGHT@DCU TRECVID 2019: Video to Text. TRECVID 2019 - [e1]Cathal Gurrin, Björn Þór Jónsson, Renaud Péteri, Stevan Rudinac, Stéphane Marchand-Maillet, Georges Quénot, Kevin McGuinness, Gylfi Þór Guðmundsson, Suzanne Little, Marie Katsurai, Graham Healy:
2019 International Conference on Content-Based Multimedia Indexing, CBMI 2019, Dublin, Ireland, September 4-6, 2019. IEEE 2019, ISBN 978-1-7281-4673-7 [contents] - [i28]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. CoRR abs/1903.10195 (2019) - [i27]Federico Magliani, Kevin McGuinness, Eva Mohedano, Andrea Prati:
An Efficient Approximate kNN Graph Method for Diffusion on Image Retrieval. CoRR abs/1904.08668 (2019) - [i26]Eric Arazo Sanchez, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
Unsupervised label noise modeling and loss correction. CoRR abs/1904.11238 (2019) - [i25]Diego Ortego, Kevin McGuinness, Juan C. SanMiguel, Eric Arazo, José M. Martínez, Noel E. O'Connor:
On guiding video object segmentation. CoRR abs/1904.11256 (2019) - [i24]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.. CoRR abs/1907.01869 (2019) - [i23]Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning. CoRR abs/1908.02983 (2019) - [i22]Joseph Antony, Kevin McGuinness, Kieran Moran, Noel E. O'Connor:
Feature Learning to Automatically Assess Radiographic Knee Osteoarthritis Severity. CoRR abs/1908.08840 (2019) - [i21]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. CoRR abs/1908.08856 (2019) - [i20]Jaynal Abedin, Joseph Antony, Kevin McGuinness, Kieran Moran, Noel E. O'Connor, Dietrich Rebholz-Schuhmann, John Newell:
Predicting knee osteoarthritis severity: comparative modeling based on patient's data and plain X-ray images. CoRR abs/1908.08873 (2019) - [i19]Panagiotis Linardos, Suzanne Little, Kevin McGuinness:
MediaEval 2019: Concealed FGSM Perturbations for Privacy Preservation. CoRR abs/1910.11603 (2019) - [i18]Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
Towards Robust Learning with Different Label Noise Distributions. CoRR abs/1912.08741 (2019) - 2018
- [j7]Marc Assens, Xavier Giró-i-Nieto, Kevin McGuinness, Noel E. O'Connor:
Scanpath and saliency prediction on 360 degree images. Signal Process. Image Commun. 69: 8-14 (2018) - [c52]Eva Mohedano, Kevin McGuinness, Xavier Giró-i-Nieto, Noel E. O'Connor:
Saliency Weighted Convolutional Features for Instance Search. CBMI 2018: 1-6 - [c51]Mark Marsden, Kevin McGuinness, Suzanne Little, Ciara E. Keogh, Noel E. O'Connor:
People, Penguins and Petri Dishes: Adapting Object Counting Models to New Visual Domains and Object Types Without Forgetting. CVPR 2018: 8070-8079 - [c50]Marc Assens, Xavier Giró-i-Nieto, Kevin McGuinness, Noel E. O'Connor:
PathGAN: Visual Scanpath Prediction with Generative Adversarial Networks. ECCV Workshops (5) 2018: 406-422 - [c49]Alan F. Smeaton, Owen Corrigan, Paul Dockree, Cathal Gurrin, Graham Healy, Feiyan Hu, Kevin McGuinness, Eva Mohedano, Tomás Ward:
Dublin's Participation in the Predicting Media Memorability Task at MediaEval 2018. MediaEval 2018 - [c48]Paula Gómez Duran, Eva Mohedano, Kevin McGuinness, Xavier Giró-i-Nieto, Noel E. O'Connor:
Demonstration of an Open Source Framework for Qualitative Evaluation of CBIR Systems. ACM Multimedia 2018: 1256-1257 - [c47]Jiang Zhou, Kevin McGuinness, Noel E. O'Connor:
A Text Recognition and Retrieval System for e-Business Image Management. MMM (2) 2018: 23-35 - [i17]Marc Assens, Xavier Giró-i-Nieto, Kevin McGuinness, Noel E. O'Connor:
PathGAN: Visual Scanpath Prediction with Generative Adversarial Networks. CoRR abs/1809.00567 (2018) - 2017
- [j6]Sethuraman Panchanathan, Shayok Chakraborty, Troy McDaniel, Ramin Tadayon, Bijan Fakhri, Noel E. O'Connor, Mark Marsden, Suzanne Little, Kevin McGuinness, David S. Monaghan:
Enriching the Fan Experience in a Smart Stadium Using Internet of Things Technologies. Int. J. Semantic Comput. 11(2): 137-170 (2017) - [j5]Rafal Kapela, Kevin McGuinness, Noel E. O'Connor:
Real-time field sports scene classification using colour and frequency space decompositions. J. Real Time Image Process. 13(4): 725-737 (2017) - [c46]Mark Marsden, Kevin McGuinness, Suzanne Little, Noel E. O'Connor:
ResnetCrowd: A residual deep learning architecture for crowd counting, violent behaviour detection and crowd density level classification. AVSS 2017: 1-7 - [c45]Marc Assens, Xavier Giró-i-Nieto, Kevin McGuinness, Noel E. O'Connor:
SaltiNet: Scan-Path Prediction on 360 Degree Images Using Saliency Volumes. ICCV Workshops 2017: 2331-2338 - [c44]Houssem Chatbri, Marlon Oliveira, Kevin McGuinness, Suzanne Little, Keisuke Kameyama, Paul Kwan, Alistair Sutherland, Noel E. O'Connor:
Educational video classification by using a transcript to image transform and supervised learning. IPTA 2017: 1-6 - [c43]Joseph Antony, Kevin McGuinness, Kieran Moran, Noel E. O'Connor:
Automatic Detection of Knee Joints and Quantification of Knee Osteoarthritis Severity Using Convolutional Neural Networks. MLDM 2017: 376-390 - [c42]Houssem Chatbri, Kevin McGuinness, Suzanne Little, Jiang Zhou, Keisuke Kameyama, Paul Kwan, Noel E. O'Connor:
Automatic MOOC Video Classification using Transcript Features and Convolutional Neural Networks. MultiEdTech@MM 2017: 21-26 - [c41]Haithem Afli, Feiyan Hu, Jinhua Du, Daniel Cosgrove, Kevin McGuinness, Noel E. O'Connor, Eric Arazo Sanchez, Jiang Zhou, Alan F. Smeaton:
Dublin City University Participation in the VTT Track at TRECVid 2017. TRECVID 2017 - [c40]Mark Marsden, Kevin McGuinness, Suzanne Little, Noel E. O'Connor:
Fully Convolutional Crowd Counting on Highly Congested Scenes. VISIGRAPP (5: VISAPP) 2017: 27-33 - [i16]Junting Pan, Cristian Canton-Ferrer, Kevin McGuinness, Noel E. O'Connor, Jordi Torres, Elisa Sayrol, Xavier Giró-i-Nieto:
SalGAN: Visual Saliency Prediction with Generative Adversarial Networks. CoRR abs/1701.01081 (2017) - [i15]Joseph Antony, Kevin McGuinness, Kieran Moran, Noel E. O'Connor:
Automatic Detection of Knee Joints and Quantification of Knee Osteoarthritis Severity using Convolutional Neural Networks. CoRR abs/1703.09856 (2017) - [i14]Mark Marsden, Kevin McGuinness, Suzanne Little, Noel E. O'Connor:
ResnetCrowd: A Residual Deep Learning Architecture for Crowd Counting, Violent Behaviour Detection and Crowd Density Level Classification. CoRR abs/1705.10698 (2017) - [i13]Marc Assens, Kevin McGuinness, Xavier Giró-i-Nieto, Noel E. O'Connor:
SaltiNet: Scan-path Prediction on 360 Degree Images using Saliency Volumes. CoRR abs/1707.03123 (2017) - [i12]Mark Marsden, Kevin McGuinness, Suzanne Little, Ciara E. Keogh, Noel E. O'Connor:
People, Penguins and Petri Dishes: Adapting Object Counting Models To New Visual Domains And Object Types Without Forgetting. CoRR abs/1711.05586 (2017) - [i11]Eva Mohedano, Kevin McGuinness, Xavier Giró-i-Nieto, Noel E. O'Connor:
Saliency Weighted Convolutional Features for Instance Search. CoRR abs/1711.10795 (2017) - 2016
- [c39]Junting Pan, Elisa Sayrol, Xavier Giró-i-Nieto, Kevin McGuinness, Noel E. O'Connor:
Shallow and Deep Convolutional Networks for Saliency Prediction. CVPR 2016: 598-606 - [c38]Mark Marsden, Kevin McGuinness, Suzanne Little, Noel E. O'Connor:
Holistic features for real-time crowd behaviour anomaly detection. ICIP 2016: 918-922 - [c37]Ramya Hebbalaguppe, Kevin McGuinness, Jogile Kuklyte, Rami Albatal, Cem Direkoglu, Noel E. O'Connor:
Reduction of false alarms triggered by spiders/cobwebs in surveillance camera networks. ICIP 2016: 943-947 - [c36]Joseph Antony, Kevin McGuinness, Noel E. O'Connor, Kieran Moran:
Quantifying radiographic knee osteoarthritis severity using deep convolutional neural networks. ICPR 2016: 1195-1200 - [c35]Sethuraman Panchanathan, Shayok Chakraborty, Troy McDaniel, Matt Bunch, Noel E. O'Connor, Suzanne Little, Kevin McGuinness, Mark Marsden:
Smart Stadium for Smarter Living: Enriching the Fan Experience. ISM 2016: 152-157 - [c34]Eva Mohedano, Kevin McGuinness, Noel E. O'Connor, Amaia Salvador, Ferran Marqués, Xavier Giró-i-Nieto:
Bags of Local Convolutional Features for Scalable Instance Search. ICMR 2016: 327-331 - [c33]Alan F. Smeaton, Kevin McGuinness, Cathal Gurrin, Jiang Zhou, Noel E. O'Connor, Peng Wang, Brian Davis, Lucas Azevedo, André Freitas, Louise Signal, Moira Smith, James Stanley, Michelle Barr, Tim Chambers, Cliona Ní Mhurchu:
Semantic Indexing of Wearable Camera Images: Kids'Cam Concepts. iV&L-MM@MM 2016: 27-34 - [c32]Cristian Reyes, Eva Mohedano, Kevin McGuinness, Noel E. O'Connor, Xavier Giró-i-Nieto:
Where is my Phone?: Personal Object Retrieval from Egocentric Images. LTA@MM 2016: 55-62 - [c31]Tengqi Ye, Tianchun Wang, Kevin McGuinness, Yu Guo, Cathal Gurrin:
Learning Multiple Views with Orthogonal Denoising Autoencoders. MMM (1) 2016: 313-324 - [c30]Mark Marsden, Eva Mohedano, Kevin McGuinness, Andrea Calafell, Xavier Giró-i-Nieto, Noel E. O'Connor, Jiang Zhou, Lucas Azevedo, Tobias Daudert, Brian Davis, Manuela Hürlimann, Haithem Afli, Jinhua Du, Debasis Ganguly, Wei Li, Andy Way, Alan F. Smeaton:
Dublin City University and Partners' Participation in the INS and VTT Tracks at TRECVid 2016. TRECVID 2016 - [i10]Junting Pan, Kevin McGuinness, Elisa Sayrol, Noel E. O'Connor, Xavier Giró-i-Nieto:
Shallow and Deep Convolutional Networks for Saliency Prediction. CoRR abs/1603.00845 (2016) - [i9]Eva Mohedano, Amaia Salvador, Kevin McGuinness, Ferran Marqués, Noel E. O'Connor, Xavier Giró-i-Nieto:
Bags of Local Convolutional Features for Scalable Instance Search. CoRR abs/1604.04653 (2016) - [i8]Mark Marsden, Kevin McGuinness, Suzanne Little, Noel E. O'Connor:
Holistic Features For Real-Time Crowd Behaviour Anomaly Detection. CoRR abs/1606.05310 (2016) - [i7]Cristian Reyes, Eva Mohedano, Kevin McGuinness, Noel E. O'Connor, Xavier Giró-i-Nieto:
Where is my Phone ? Personal Object Retrieval from Egocentric Images. CoRR abs/1608.08139 (2016) - [i6]Joseph Antony, Kevin McGuinness, Noel E. O'Connor, Kieran Moran:
Quantifying Radiographic Knee Osteoarthritis Severity using Deep Convolutional Neural Networks. CoRR abs/1609.02469 (2016) - [i5]Joseph Antony, Kevin McGuinness, Neil Welch, Joe Coyle, Andy Franklyn-Miller, Noel E. O'Connor, Kieran Moran:
An Interactive Segmentation Tool for Quantifying Fat in Lumbar Muscles using Axial Lumbar-Spine MRI. CoRR abs/1609.02744 (2016) - [i4]Mark Marsden, Kevin McGuinness, Suzanne Little, Noel E. O'Connor:
Fully Convolutional Crowd Counting On Highly Congested Scenes. CoRR abs/1612.00220 (2016) - 2015
- [j4]Eva Mohedano, Graham Healy, Kevin McGuinness, Xavier Giró-i-Nieto, Noel E. O'Connor, Alan F. Smeaton:
Improving object segmentation by using EEG signals and rapid serial visual presentation. Multim. Tools Appl. 74(22): 10137-10159 (2015) - [c29]Carles Ventura, Xavier Giró-i-Nieto, Verónica Vilaplana, Kevin McGuinness, Ferran Marqués, Noel E. O'Connor:
Improving spatial codification in semantic segmentation. ICIP 2015: 3605-3609 - [c28]Eva Mohedano, Kevin McGuinness, Graham Healy, Noel E. O'Connor, Alan F. Smeaton, Amaia Salvador, Sergi Porta, Xavier Giró-i-Nieto:
Exploring EEG for Object Detection and Retrieval. ICMR 2015: 591-594 - [c27]Kevin McGuinness, Eva Mohedano, Amaia Salvador, Zhenxing Zhang, Mark Marsden, Peng Wang, Iveel Jargalsaikhan, Joseph Antony, Xavier Giró-i-Nieto, Shin'ichi Satoh, Noel E. O'Connor, Alan F. Smeaton:
Insight DCU at TRECVid 2015. TRECVID 2015 - [i3]Eva Mohedano, Amaia Salvador, Sergi Porta, Xavier Giró-i-Nieto, Graham Healy, Kevin McGuinness, Noel E. O'Connor, Alan F. Smeaton:
Exploring EEG for Object Detection and Retrieval. CoRR abs/1504.02356 (2015) - [i2]Carles Ventura, Xavier Giró-i-Nieto, Verónica Vilaplana, Kevin McGuinness, Ferran Marqués, Noel E. O'Connor:
Improving Spatial Codification in Semantic Segmentation. CoRR abs/1505.07409 (2015) - 2014
- [j3]Klaus Schoeffmann, David Ahlström, Werner Bailer, Claudiu Cobârzan, Frank Hopfgartner, Kevin McGuinness, Cathal Gurrin, Christian Frisson, Duy-Dinh Le, Manfred del Fabro, Hongliang Bai, Wolfgang Weiss:
The Video Browser Showdown: a live evaluation of interactive video search tools. Int. J. Multim. Inf. Retr. 3(2): 113-127 (2014) - [c26]Kevin McGuinness, Feiyan Hu, Rami Albatal, Alan F. Smeaton:
Formulating Queries for Collecting Training Examples in Visual Concept Classification. VL@COLING 2014: 106-108 - [c25]Peggy van der Kreeft, Kay Macquarrie, Max Kemman, Martijn Kleppe, Kevin McGuinness:
AXES-RESEARCH - A user-oriented tool for enhanced multimodal search and retrieval in audiovisual libraries. CBMI 2014: 1-4 - [c24]Joseph Antony, Kevin McGuinness, Neil Welch, Joe Coyle, Andy Franklyn-Miller, Noel E. O'Connor, Kieran Moran:
Fat quantification in MRI-defined lumbar muscles. IPTA 2014: 327-332 - [c23]Eva Mohedano, Graham Healy, Kevin McGuinness, Xavier Giró-i-Nieto, Noel E. O'Connor, Alan F. Smeaton:
Object Segmentation in Images using EEG Signals. ACM Multimedia 2014: 417-426 - [c22]Robin Aly, Dolf Trieschnigg, Kevin McGuinness, Noel E. O'Connor, Franciska de Jong:
Average Precision: Good Guide or False Friend to Multimedia Search Effectiveness? MMM (2) 2014: 239-250 - [c21]David Scott, Zhenxing Zhang, Rami Albatal, Kevin McGuinness, Esra Acar, Frank Hopfgartner, Cathal Gurrin, Noel E. O'Connor, Alan F. Smeaton:
Audio-Visual Classification Video Browser. MMM (2) 2014: 398-401 - [c20]Shu Chen, Kevin McGuinness, Robin Aly, Noel E. O'Connor, Tinne Tuytelaars:
AXES @ TRECVID 2014: Instance Search. TRECVID 2014 - [c19]Kevin McGuinness, Eva Mohedano, Zhenxing Zhang, Feiyan Hu, Rami Albatal, Cathal Gurrin, Noel E. O'Connor, Alan F. Smeaton, Amaia Salvador, Xavier Giró-i-Nieto, Carles Ventura:
Insight Centre for Data Analytics (DCU) at TRECVid 2014: Instance Search and Semantic Indexing Tasks. TRECVID 2014 - [i1]Eva Mohedano, Graham Healy, Kevin McGuinness, Xavier Giró-i-Nieto, Noel E. O'Connor, Alan F. Smeaton:
Object Segmentation in Images using EEG Signals. CoRR abs/1408.4363 (2014) - 2013
- [c18]Kevin McGuinness, Noel E. O'Connor:
Improved graph cut segmentation by learning a contrast model on the fly. ICIP 2013: 2723-2727 - [c17]Kevin McGuinness, Noel E. O'Connor, Robin Aly, Franciska de Jong, Ken Chatfield, Omkar M. Parkhi, Relja Arandjelovic, Andrew Zisserman, Matthijs Douze, Cordelia Schmid:
The AXES PRO video search system. ICMR 2013: 307-308 - [c16]Dian Zhang, Edel O'Connor, Timothy Sullivan, Kevin McGuinness, Fiona Regan, Noel E. O'Connor:
Smart multi-modal marine monitoring via visual analysis and data fusion. MAED@ACM Multimedia 2013: 29-34 - [c15]David Scott, Jinlin Guo, Cathal Gurrin, Frank Hopfgartner, Kevin McGuinness, Noel E. O'Connor, Alan F. Smeaton, Yang Yang, Zhenxing Zhang:
DCU at MMM 2013 Video Browser Showdown. MMM (2) 2013: 541-543 - [c14]Robin Aly, Relja Arandjelovic, Ken Chatfield, Matthijs Douze, Basura Fernando, Zaïd Harchaoui, Kevin McGuinness, Noel E. O'Connor, Dan Oneata, Omkar M. Parkhi, Danila Potapov, Jérôme Revaud, Cordelia Schmid, Jochen Schwenninger, David Scott, Tinne Tuytelaars, Jakob Verbeek, Heng Wang, Andrew Zisserman:
The AXES submissions at TRECVID 2013. TRECVID 2013 - [c13]Jogile Kuklyte, Kevin McGuinness, Ramya Hebbalaguppe, Cem Direkoglu, Leonardo Gualano, Noel E. O'Connor:
Identification of moving objects in poor quality surveillance data. WIAMIS 2013: 1-4 - 2012
- [c12]Dian Zhang, Edel O'Connor, Kevin McGuinness, Noel Edward O'Connor, Fiona Regan, Alan F. Smeaton:
A visual sensing platform for creating a smarter multi-modal marine monitoring network. MAED@ACM Multimedia 2012: 53-56 - [c11]Kevin McGuinness, Kealan McCusker, Neil O'Hare, Noel E. O'Connor:
Efficient Storage and Decoding of SURF Feature Points. MMM 2012: 440-451 - [c10]Robin Aly, Kevin McGuinness, Shu Chen, Noel E. O'Connor, Ken Chatfield, Omkar M. Parkhi, Relja Arandjelovic, Andrew Zisserman, Basura Fernando, Tinne Tuytelaars, Dan Oneata, Matthijs Douze, Jérôme Revaud, Jochen Schwenninger, Danila Potapov, Heng Wang, Zaïd Harchaoui, Jakob Verbeek, Cordelia Schmid:
AXES at TRECVID 2012: KIS, INS, and MED. TRECVID 2012 - [c9]Shu Chen, Kevin McGuinness, Robin Aly, Noel E. O'Connor, Franciska de Jong:
The AXES-lite video search engine. WIAMIS 2012: 1-4 - 2011
- [j2]Kevin McGuinness, Noel E. O'Connor:
Toward automated evaluation of interactive segmentation. Comput. Vis. Image Underst. 115(6): 868-884 (2011) - [c8]Kevin McGuinness, Robin Aly, Shu Chen, Mathieu Frappier, Martijn Kleppe, Hyowon Lee, Roeland Ordelman, Relja Arandjelovic, Mayank Juneja, C. V. Jawahar, Andrea Vedaldi, Jochen Schwenninger, Sebastian Tschöpel, Daniel Schneider, Noel E. O'Connor, Andrew Zisserman, Alan F. Smeaton, Henri Beunders:
AXES at TRECVID 2011. TRECVID 2011 - 2010
- [j1]Kevin McGuinness, Noel E. O'Connor:
A comparative evaluation of interactive segmentation algorithms. Pattern Recognit. 43(2): 434-444 (2010) - [c7]Colum Foley, Jinlin Guo, David Scott, Peter Wilkins, Cathal Gurrin, Alan F. Smeaton, Paul Ferguson, Kealan McCusker, Emma Sesmero Diaz, Kevin McGuinness, Noel E. O'Connor, Xavier Giró-i-Nieto, Ferran Marqués:
TRECVID 2010 Experiments at Dublin City University. TRECVID 2010
2000 – 2009
- 2008
- [c6]Iván González-Díaz, Kevin McGuinness, Tomasz Adamek, Noel E. O'Connor, Fernando Díaz-de-María:
Incorporating spatio-temporal mid-level features in a region segmentation algorithm for video sequences. ICIP 2008: 1-4 - [c5]Peter Wilkins, Daragh Byrne, Gareth J. F. Jones, Hyowon Lee, Gordon Keenan, Kevin McGuinness, Noel E. O'Connor, Neil O'Hare, Alan F. Smeaton, Tomasz Adamek, Raphaël Troncy, Alia Amin, Rachid Benmokhtar, Emilie Dumont, Benoit Huet, Bernard Mérialdo, Giorgos Tolias, Evaggelos Spyrou, Yannis Avrithis, Georgios Th. Papadopoulos, Vasileios Mezaris, Ioannis Kompatsiaris, Roland Mörzinger, Peter Schallauer, Werner Bailer, Krishna Chandramouli, Ebroul Izquierdo, Lutz Goldmann, Martin Haller, Amjad Samour, Andreas Cobet, Thomas Sikora, Pavel Praks, David Hannah, Martin Halvey, Frank Hopfgartner, Robert Villa, P. Punitha, Anuj Goyal, Joemon M. Jose:
K-Space at TRECVid 2008. TRECVID 2008 - 2007
- [c4]Kevin McGuinness, Olivier Gillet, Noel E. O'Connor, Gaël Richard:
Visual analysis for drum sequence transcription. EUSIPCO 2007: 312-316 - [c3]Peter Wilkins, Tomasz Adamek, Daragh Byrne, Gareth J. F. Jones, Hyowon Lee, Gordon Keenan, Kevin McGuinness, Noel E. O'Connor, Alan F. Smeaton, Alia Amin, Zeljko Obrenovic, Rachid Benmokhtar, Eric Galmar, Benoit Huet, Slim Essid, Rémi Landais, Félicien Vallet, Georgios Th. Papadopoulos, Stefanos Vrochidis, Vasileios Mezaris, Ioannis Kompatsiaris, Evaggelos Spyrou, Yannis Avrithis, Roland Mörzinger, Peter Schallauer, Werner Bailer, Tomas Piatrik, Krishna Chandramouli, Ebroul Izquierdo, Martin Haller, Lutz Goldmann, Amjad Samour, Andreas Cobet, Thomas Sikora, Pavel Praks:
K-Space at TRECVID 2007. TRECVID 2007 - 2006
- [c2]Kevin McGuinness, Gordon Keenan, Tomasz Adamek, Noel E. O'Connor:
A Framework and User Interface for Automatic Region Based Segmentation Algorithms. SAMT (Posters and Demos) 2006 - [c1]Peter Wilkins, Tomasz Adamek, Paul Ferguson, Mark Hughes, Gareth J. F. Jones, Gordon Keenan, Kevin McGuinness, Jovanka Malobabic, Noel E. O'Connor, David A. Sadlier, Alan F. Smeaton, Rachid Benmokhtar, Emilie Dumont, Benoit Huet, Bernard Mérialdo, Evagellos Spyrou, George Koumoulos, Yannis Avrithis, Roland Mörzinger, Peter Schallauer, Werner Bailer, Qianni Zhang, Tomas Piatrik, Krishna Chandramouli, Ebroul Izquierdo, Lutz Goldmann, Martin Haller, Thomas Sikora, Pavel Praks, Jana Urban, Xavier Hilaire, Joemon M. Jose:
K-Space at TRECvid 2006. TRECVID 2006
Coauthor Index
Noel E. O'Connor
aka: Noel Edward O'Connor
aka: Noel Edward O'Connor
[j14] [c113] [c112] [c111] [c110] [c109] [i76] [i75] [j12] [j11] [c108] [c107] [c106] [c105] [c104] [c103] [c102] [c101] [c99] [i73] [i72] [i70] [i69] [i68] [i67] [i66] [i65] [i64] [c98] [c97] [c96] [c95] [c93] [c92] [c91] [c90] [c89] [c88] [i63] [i62] [i61] [i60] [i59] [i58] [i56] [i55] [i54] [i53] [i51] [i49] [i48] [i47] [j9] [c87] [c86] [c85] [c84] [c83] [c82] [c81] [c80] [c79] [c78] [c77] [c76] [c75] [c74] [i45] [i43] [i42] [i41] [i40] [i39] [i38] [c73] [c72] [c71] [c70] [c69] [c66] [c65] [c64] [c63] [i37] [i36] [i33] [i32] [i31] [i30] [i29] [j8] [c62] [c61] [c57] [c55] [c54] [c53] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i18] [j7] [c52] [c51] [c50] [c48] [c47] [i17] [j6] [j5] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [i16] [i15] [i14] [i13] [i12] [i11] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c30] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [j4] [c29] [c28] [c27] [i3] [i2] [c24] [c23] [c22] [c21] [c20] [c19] [i1] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [j2] [c8] [j1] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
Stephen James Redmond
aka: Stephen J. Redmond
aka: Stephen J. Redmond
Francisco Roldan
aka: Francisco Roldan Sanchez
aka: Francisco Roldan Sanchez
Eric Arazo Sanchez
aka: Eric Arazo
aka: Eric Arazo
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
.
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last updated on 2025-01-21 00:16 CET by the dblp team
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