A Framework and User Interface for Automatic Region Based Segmentation Algorithms. - Kevin McGuinness; Gordon Keenan; Tomasz Adamek; Noel E. O'Connor (SAMT (Posters and Demos), 2006)

K-Space at TRECvid 2006. - 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; et al. (TRECVID, 2006)

Visual analysis for drum sequence transcription. - Kevin McGuinness; Olivier Gillet; Noel E. O'Connor; Gaël Richard (EUSIPCO, 2007)

K-Space at TRECVID 2007. - Peter Wilkins; Tomasz Adamek; Daragh Byrne; Gareth J. F. Jones; Hyowon Lee 001; Gordon Keenan; Kevin McGuinness; Noel E. O'Connor; Alan F. Smeaton; Alia Amin; Zeljko Obrenovic; Rachid Benmokhtar; et al. (TRECVID, 2007)

Incorporating spatio-temporal mid-level features in a region segmentation algorithm for video sequences. - Iván González-Díaz 001; Kevin McGuinness; Tomasz Adamek; Noel E. O'Connor; Fernando Díaz-de-María (ICIP, 2008)

K-Space at TRECVid 2008. - Peter Wilkins; Daragh Byrne; Gareth J. F. Jones; Hyowon Lee 001; Gordon Keenan; Kevin McGuinness; Noel E. O'Connor; Neil O'Hare; Alan F. Smeaton; Tomasz Adamek; Raphaël Troncy; Alia Amin; et al. (TRECVID, 2008)

TRECVID 2010 Experiments at Dublin City University. - 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; et al. (TRECVID, 2010)

A comparative evaluation of interactive segmentation algorithms. - Kevin McGuinness; Noel E. O'Connor (Pattern Recognit., 2010)

AXES at TRECVID 2011. - Kevin McGuinness; Robin Aly; Shu Chen; Mathieu Frappier; Martijn Kleppe; Hyowon Lee 001; Roeland Ordelman; Relja Arandjelovic; Mayank Juneja; C. V. Jawahar; Andrea Vedaldi; Jochen Schwenninger; et al. (TRECVID, 2011)

Toward automated evaluation of interactive segmentation. - Kevin McGuinness; Noel E. O'Connor (Comput. Vis. Image Underst., 2011)

A visual sensing platform for creating a smarter multi-modal marine monitoring network. - Dian Zhang; Edel O'Connor; Kevin McGuinness; Noel Edward O'Connor; Fiona Regan; Alan F. Smeaton (MAED@ACM Multimedia, 2012)

Efficient Storage and Decoding of SURF Feature Points. - Kevin McGuinness; Kealan McCusker; Neil O'Hare; Noel E. O'Connor (MMM, 2012)

AXES at TRECVID 2012: KIS, INS, and MED. - 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; et al. (TRECVID, 2012)

The AXES-lite video search engine. - Shu Chen; Kevin McGuinness; Robin Aly; Noel E. O'Connor; Franciska de Jong (WIAMIS, 2012)

Improved graph cut segmentation by learning a contrast model on the fly. - Kevin McGuinness; Noel E. O'Connor (ICIP, 2013)

The AXES PRO video search system. - Kevin McGuinness; Noel E. O'Connor; Robin Aly; Franciska de Jong; Ken Chatfield; Omkar M. Parkhi; Relja Arandjelovic; Andrew Zisserman; Matthijs Douze; Cordelia Schmid (ICMR, 2013)

Smart multi-modal marine monitoring via visual analysis and data fusion. - Dian Zhang; Edel O'Connor; Timothy Sullivan; Kevin McGuinness; Fiona Regan; Noel E. O'Connor (MAED@ACM Multimedia, 2013)

DCU at MMM 2013 Video Browser Showdown. - David Scott; Jinlin Guo; Cathal Gurrin; Frank Hopfgartner; Kevin McGuinness; Noel E. O'Connor; Alan F. Smeaton; Yang Yang 076; Zhenxing Zhang (MMM (2), 2013)

The AXES submissions at TRECVID 2013. - 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; et al. (TRECVID, 2013)

Identification of moving objects in poor quality surveillance data. - Jogile Kuklyte; Kevin McGuinness; Ramya Hebbalaguppe; Cem Direkoglu; Leonardo Gualano; Noel E. O'Connor (WIAMIS, 2013)

Formulating Queries for Collecting Training Examples in Visual Concept Classification. - Kevin McGuinness; Feiyan Hu; Rami Albatal; Alan F. Smeaton (VL@COLING, 2014)

AXES-RESEARCH - A user-oriented tool for enhanced multimodal search and retrieval in audiovisual libraries. - Peggy van der Kreeft; Kay Macquarrie; Max Kemman; Martijn Kleppe; Kevin McGuinness (CBMI, 2014)

Fat quantification in MRI-defined lumbar muscles. - Joseph Antony; Kevin McGuinness; Neil Welch; Joe Coyle; Andy Franklyn-Miller; Noel E. O'Connor; Kieran Moran (IPTA, 2014)

Object Segmentation in Images using EEG Signals. - Eva Mohedano; Graham Healy; Kevin McGuinness; Xavier Giró-i-Nieto; Noel E. O'Connor; Alan F. Smeaton (ACM Multimedia, 2014)

Average Precision: Good Guide or False Friend to Multimedia Search Effectiveness? - Robin Aly; Dolf Trieschnigg; Kevin McGuinness; Noel E. O'Connor; Franciska de Jong (MMM (2), 2014)

Audio-Visual Classification Video Browser. - David Scott; Zhenxing Zhang; Rami Albatal; Kevin McGuinness; Esra Acar; Frank Hopfgartner; Cathal Gurrin; Noel E. O'Connor; Alan F. Smeaton (MMM (2), 2014)

AXES @ TRECVID 2014: Instance Search. - Shu Chen; Kevin McGuinness; Robin Aly; Noel E. O'Connor; Tinne Tuytelaars (TRECVID, 2014)

Insight Centre for Data Analytics (DCU) at TRECVid 2014: Instance Search and Semantic Indexing Tasks. - 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 (TRECVID, 2014)

The Video Browser Showdown: a live evaluation of interactive video search tools. - 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 (Int. J. Multim. Inf. Retr., 2014)

Improving spatial codification in semantic segmentation. - Carles Ventura; Xavier Giró-i-Nieto; Verónica Vilaplana; Kevin McGuinness; Ferran Marqués; Noel E. O'Connor (ICIP, 2015)

Exploring EEG for Object Detection and Retrieval. - Eva Mohedano; Kevin McGuinness; Graham Healy; Noel E. O'Connor; Alan F. Smeaton; Amaia Salvador; Sergi Porta; Xavier Giró-i-Nieto (ICMR, 2015)

Insight DCU at TRECVid 2015. - Kevin McGuinness; Eva Mohedano; Amaia Salvador; Zhenxing Zhang; Mark Marsden; Peng Wang 012; Iveel Jargalsaikhan; Joseph Antony; Xavier Giró-i-Nieto; Shin'ichi Satoh 001; Noel E. O'Connor; Alan F. Smeaton (TRECVID, 2015)

Improving object segmentation by using EEG signals and rapid serial visual presentation. - Eva Mohedano; Graham Healy; Kevin McGuinness; Xavier Giró-i-Nieto; Noel E. O'Connor; Alan F. Smeaton (Multim. Tools Appl., 2015)

Shallow and Deep Convolutional Networks for Saliency Prediction. - Junting Pan; Elisa Sayrol; Xavier Giró-i-Nieto; Kevin McGuinness; Noel E. O'Connor (CVPR, 2016)

Reduction of false alarms triggered by spiders/cobwebs in surveillance camera networks. - Ramya Hebbalaguppe; Kevin McGuinness; Jogile Kuklyte; Rami Albatal; Cem Direkoglu; Noel E. O'Connor (ICIP, 2016)

Holistic features for real-time crowd behaviour anomaly detection. - Mark Marsden; Kevin McGuinness; Suzanne Little; Noel E. O'Connor (ICIP, 2016)

Quantifying radiographic knee osteoarthritis severity using deep convolutional neural networks. - Joseph Antony; Kevin McGuinness; Noel E. O'Connor; Kieran Moran (ICPR, 2016)

Smart Stadium for Smarter Living: Enriching the Fan Experience. - Sethuraman Panchanathan; Shayok Chakraborty; Troy McDaniel; Matt Bunch; Noel E. O'Connor; Suzanne Little; Kevin McGuinness; Mark Marsden (ISM, 2016)

Bags of Local Convolutional Features for Scalable Instance Search. - Eva Mohedano; Kevin McGuinness; Noel E. O'Connor; Amaia Salvador; Ferran Marqués; Xavier Giró-i-Nieto (ICMR, 2016)

Where is my Phone?: Personal Object Retrieval from Egocentric Images. - Cristian Reyes; Eva Mohedano; Kevin McGuinness; Noel E. O'Connor; Xavier Giró-i-Nieto (LTA@MM, 2016)

Semantic Indexing of Wearable Camera Images: Kids'Cam Concepts. - Alan F. Smeaton; Kevin McGuinness; Cathal Gurrin; Jiang Zhou; Noel E. O'Connor; Peng Wang 012; Brian Davis 001; Lucas Azevedo; André Freitas; Louise Signal; Moira Smith; James Stanley; et al. (iV&L-MM@MM, 2016)

Learning Multiple Views with Orthogonal Denoising Autoencoders. - Tengqi Ye; Tianchun Wang; Kevin McGuinness; Yu Guo; Cathal Gurrin (MMM (1), 2016)

Dublin City University and Partners' Participation in the INS and VTT Tracks at TRECVid 2016. - Mark Marsden; Eva Mohedano; Kevin McGuinness; Andrea Calafell; Xavier Giró-i-Nieto; Noel E. O'Connor; Jiang Zhou; Lucas Azevedo; Tobias Daudert; Brian Davis 001; Manuela Hürlimann; Haithem Afli; et al. (TRECVID, 2016)

An Interactive Segmentation Tool for Quantifying Fat in Lumbar Muscles using Axial Lumbar-Spine MRI. - Joseph Antony; Kevin McGuinness; Neil Welch; Joe Coyle; Andy Franklyn-Miller; Noel E. O'Connor; Kieran Moran (CoRR, 2016)

ResnetCrowd: A residual deep learning architecture for crowd counting, violent behaviour detection and crowd density level classification. - Mark Marsden; Kevin McGuinness; Suzanne Little; Noel E. O'Connor (AVSS, 2017)

SaltiNet: Scan-Path Prediction on 360 Degree Images Using Saliency Volumes. - Marc Assens; Xavier Giró-i-Nieto; Kevin McGuinness; Noel E. O'Connor (ICCV Workshops, 2017)

Educational video classification by using a transcript to image transform and supervised learning. - Houssem Chatbri; Marlon Oliveira; Kevin McGuinness; Suzanne Little; Keisuke Kameyama; Paul Kwan; Alistair Sutherland; Noel E. O'Connor (IPTA, 2017)

Automatic Detection of Knee Joints and Quantification of Knee Osteoarthritis Severity Using Convolutional Neural Networks. - Joseph Antony; Kevin McGuinness; Kieran Moran; Noel E. O'Connor (MLDM, 2017)

Automatic MOOC Video Classification using Transcript Features and Convolutional Neural Networks. - Houssem Chatbri; Kevin McGuinness; Suzanne Little; Jiang Zhou; Keisuke Kameyama; Paul Kwan; Noel E. O'Connor (MultiEdTech@MM, 2017)

Dublin City University Participation in the VTT Track at TRECVid 2017. - Haithem Afli; Feiyan Hu; Jinhua Du; Daniel Cosgrove; Kevin McGuinness; Noel E. O'Connor; Eric Arazo Sanchez; Jiang Zhou; Alan F. Smeaton (TRECVID, 2017)

Fully Convolutional Crowd Counting on Highly Congested Scenes. - Mark Marsden; Kevin McGuinness; Suzanne Little; Noel E. O'Connor (VISIGRAPP (5: VISAPP), 2017)

SalGAN: Visual Saliency Prediction with Generative Adversarial Networks. - Junting Pan; Cristian Canton-Ferrer; Kevin McGuinness; Noel E. O'Connor; Jordi Torres; Elisa Sayrol; Xavier Giró-i-Nieto (CoRR, 2017)

Enriching the Fan Experience in a Smart Stadium Using Internet of Things Technologies. - Sethuraman Panchanathan; Shayok Chakraborty; Troy McDaniel; Ramin Tadayon; Bijan Fakhri; Noel E. O'Connor; Mark Marsden; Suzanne Little; Kevin McGuinness; David S. Monaghan (Int. J. Semantic Comput., 2017)

Real-time field sports scene classification using colour and frequency space decompositions. - Rafal Kapela; Kevin McGuinness; Noel E. O'Connor (J. Real Time Image Process., 2017)

Saliency Weighted Convolutional Features for Instance Search. - Eva Mohedano; Kevin McGuinness; Xavier Giró-i-Nieto; Noel E. O'Connor (CBMI, 2018)

People, Penguins and Petri Dishes: Adapting Object Counting Models to New Visual Domains and Object Types Without Forgetting. - Mark Marsden; Kevin McGuinness; Suzanne Little; Ciara E. Keogh; Noel E. O'Connor (CVPR, 2018)

PathGAN: Visual Scanpath Prediction with Generative Adversarial Networks. - Marc Assens; Xavier Giró-i-Nieto; Kevin McGuinness; Noel E. O'Connor (ECCV Workshops (5), 2018)

Dublin's Participation in the Predicting Media Memorability Task at MediaEval 2018. - Alan F. Smeaton; Owen Corrigan; Paul Dockree; Cathal Gurrin; Graham Healy; Feiyan Hu; Kevin McGuinness; Eva Mohedano; Tomás Ward (MediaEval, 2018)

Demonstration of an Open Source Framework for Qualitative Evaluation of CBIR Systems. - Paula Gómez Duran; Eva Mohedano; Kevin McGuinness; Xavier Giró-i-Nieto; Noel E. O'Connor (ACM Multimedia, 2018)

A Text Recognition and Retrieval System for e-Business Image Management. - Jiang Zhou; Kevin McGuinness; Noel E. O'Connor (MMM (2), 2018)

Scanpath and saliency prediction on 360 degree images. - Marc Assens; Xavier Giró-i-Nieto; Kevin McGuinness; Noel E. O'Connor (Signal Process. Image Commun., 2018)

Simple vs complex temporal recurrences for video saliency prediction. - Panagiotis Linardos; Eva Mohedano; Juan José Nieto 002; Noel E. O'Connor; Xavier Giró-i-Nieto; Kevin McGuinness (BMVC, 2019)

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

Wav2Pix: Speech-conditioned Face Generation Using Generative Adversarial Networks. - Amanda Cardoso Duarte; Francisco Roldan; Miquel Tubau; Janna Escur; Santiago Pascual; Amaia Salvador; Eva Mohedano; Kevin McGuinness; Jordi Torres; Xavier Giró-i-Nieto (ICASSP, 2019)

An Efficient Approximate kNN Graph Method for Diffusion on Image Retrieval. - Federico Magliani; Kevin McGuinness; Eva Mohedano; Andrea Prati 001 (ICIAP (2), 2019)

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

MediaEval 2019: Concealed FGSM Perturbations for Privacy Preservation. - Panagiotis Linardos; Suzanne Little; Kevin McGuinness (MediaEval, 2019)

Assessing Knee OA Severity with CNN attention-based end-to-end architectures. - Marc Górriz; Joseph Antony; Kevin McGuinness; Xavier Giró-i-Nieto; Noel E. O'Connor (MIDL, 2019)

Exploring the Impact of Training Data Bias on Automatic Generation of Video Captions. - Alan F. Smeaton; Yvette Graham; Kevin McGuinness; Noel E. O'Connor; Seán Quinn; Eric Arazo Sanchez (MMM (1), 2019)

INSIGHT@DCU TRECVID 2019: Video to Text. - Luis Lebron; Kevin McGuinness; Noel E. O'Connor (TRECVID, 2019)

Feature Learning to Automatically Assess Radiographic Knee Osteoarthritis Severity. - Joseph Antony; Kevin McGuinness; Kieran Moran; Noel E. O'Connor (CoRR, 2019)

Predicting knee osteoarthritis severity: comparative modeling based on patient's data and plain X-ray images. - Jaynal Abedin; Joseph Antony; Kevin McGuinness; Kieran Moran; Noel E. O'Connor; Dietrich Rebholz-Schuhmann; John Newell (CoRR, 2019)

Few-shot hypercolumn-based mitochondria segmentation in cardiac and outer hair cells in focused ion beam-scanning electron microscopy (FIB-SEM) data. - Julia Dietlmeier; Kevin McGuinness; Sandra Rugonyi; Teresa Wilson; Alfred L. Nuttall; Noel E. O'Connor (Pattern Recognit. Lett., 2019)

On the Use of 3D CNNs for Video Saliency Modeling. - Yasser Abdelaziz Dahou Djilali; Mohamed Sayah; Kevin McGuinness; Noel E. O'Connor (VISIGRAPP (Revised Selected Papers), 2020)

Investigating Class-Level Difficulty Factors In Multi-Label Classification Problems. - Mark Marsden; Kevin McGuinness; Joseph Antony; Haolin Wei; Milan D. Redzic; Jian Tang; Zhilan Hu; Alan F. Smeaton; Noel E. O'Connor (ICME, 2020)

ATSal: An Attention Based Architecture for Saliency Prediction in 360$^ circ $ Videos. - Yasser Dahou; Marouane Tliba; Kevin McGuinness; Noel E. O'Connor (ICPR Workshops (3), 2020)

How important are faces for person re-identification? - Julia Dietlmeier; Joseph Antony; Kevin McGuinness; Noel E. O'Connor (ICPR, 2020)

FastSal: a Computationally Efficient Network for Visual Saliency Prediction. - Feiyan Hu; Kevin McGuinness (ICPR, 2020)

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

A Comparative Study of Existing and New Deep Learning Methods for Detecting Knee Injuries using the MRNet Dataset. - David Azcona; Kevin McGuinness; Alan F. Smeaton (IDSTA, 2020)

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

A Smart-Site-Survey System using Image-based 3D Metric Reconstruction and Interactive Panorama Visualization. - Sha Yu; Kevin McGuinness; Patricia Moore; David Azcona; Noel E. O'Connor (ACM Multimedia, 2020)

Bilingual Lexicon Induction across Orthographically-distinct Under-Resourced Dravidian Languages. - Bharathi Raja Chakravarthi; Navaneethan Rajasekaran; Mihael Arcan; Kevin McGuinness; Noel E. O'Connor; John P. McCrae (VarDial@COLING, 2020)

3DSAL: An Efficient 3D-CNN Architecture for Video Saliency Prediction. - Yasser Abdelaziz Dahou Djilali; Mohamed Sayah; Kevin McGuinness; Noel E. O'Connor (VISIGRAPP (4: VISAPP), 2020)

ATSal: An Attention Based Architecture for Saliency Prediction in 360 Videos. - Yasser Abdelaziz Dahou Djilali; Marouane Tliba; Kevin McGuinness; Noel E. O'Connor (CoRR, 2020)

Solving the Real Robot Challenge Using Deep Reinforcement Learning. - Robert McCarthy; Francsico Roldan Sanchez; Qiang Wang; David Cordova Bulens; Kevin McGuinness; Noel E. O'Connor; Stephen J. Redmond (AICS, 2021)

Synthetic Data for Unsupervised Polyp Segmentation. - Enric Moreu; Kevin McGuinness; Noel E. O'Connor (AICS, 2021)

Domain Randomization for Object Counting. - Enric Moreu; Kevin McGuinness; Diego Ortego; Noel E. O'Connor (AICS, 2021)

Adaptation of Compositional Data Analysis in Deep Learning to Predict Pasture Biomass Proportions. - Badri Narayanan 002; Mohamed Saadeldin; Paul Albert; Kevin McGuinness; Noel E. O'Connor; Brian Mac Namee (AICS, 2021)

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

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

Unsupervised Contrastive Learning of Sound Event Representations. - Eduardo Fonseca; Diego Ortego; Kevin McGuinness; Noel E. O'Connor; Xavier Serra (ICASSP, 2021)

Rethinking 360° Image Visual Attention Modelling with Unsupervised Learning. - Yasser Abdelaziz Dahou Djilali; Tarun Krishna; Kevin McGuinness; Noel E. O'Connor (ICCV, 2021)

Semi-supervised dry herbage mass estimation using automatic data and synthetic images. - Paul Albert; Mohamed Saadeldin; Badri Narayanan 002; Brian Mac Namee; Deirdre Hennessy; Aisling O'Connor; Noel E. O'Connor; Kevin McGuinness (ICCVW, 2021)

Simple baselines can fool 360° saliency metrics. - Yasser Abdelaziz Dahou Djilali; Kevin McGuinness; Noel E. O'Connor (ICCVW, 2021)

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

Evaluating Contrastive Models for Instance-based Image Retrieval. - Tarun Krishna; Kevin McGuinness; Noel E. O'Connor (ICMR, 2021)

Real Robot Challenge: A Robotics Competition in the Cloud. - Stefan Bauer; Manuel Wüthrich; Felix Widmaier; Annika Buchholz; Sebastian Stark; Anirudh Goyal; Thomas Steinbrenner; Joel Akpo; Shruti Joshi; Vincent Berenz; Vaibhav Agrawal; Niklas Funk; et al. (NeurIPS (Competition and Demos), 2021)

Temporal Bilinear Encoding Network of Audio-visual Features at Low Sampling Rates. - Feiyan Hu; Eva Mohedano; Noel E. O'Connor; Kevin McGuinness (VISIGRAPP (5: VISAPP), 2021)

Automatic CNN-Based Enhancement of 360° Video Experience With Multisensorial Effects. - John Patrick Sexton; Anderson Augusto Simiscuka; Kevin McGuinness; Gabriel-Miro Muntean (IEEE Access, 2021)

Extracting Pasture Phenotype and Biomass Percentages using Weakly Supervised Multi-target Deep Learning on a Small Dataset. - Badri Narayanan 002; Mohamed Saadeldin; Paul Albert; Kevin McGuinness; Brian Mac Namee (CoRR, 2021)

Discerning Generic Event Boundaries in Long-Form Wild Videos. - Ayush K. Rai; Tarun Krishna; Julia Dietlmeier; Kevin McGuinness; Alan F. Smeaton; Noel E. O'Connor (CoRR, 2021)

Real Robot Challenge using Deep Reinforcement Learning. - Robert McCarthy; Francisco Roldan Sanchez; Kevin McGuinness; Noel E. O'Connor; Stephen J. Redmond (CoRR, 2021)

Restricted Boltzmann machine as an aggregation technique for binary descriptors. - Szymon Sobczak; Rafal Kapela; Kevin McGuinness; Aleksandra Swietlicka; Dariusz Pazderski; Noel E. O'Connor (Vis. Comput., 2021)

BaseTransformers: Attention over base data-points for One Shot Learning. - Mayug Maniparambil; Kevin McGuinness; Noel E. O'Connor (BMVC, 2022)

A Fine Grained Quality Assessment of Video Anomaly Detection. - Jiang Zhou; Kevin McGuinness; Joseph Antony; Noel E. O'Connor (CBMI, 2022)

Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation. - Paul Albert; Mohamed Saadeldin; Badri Narayanan 002; Brian Mac Namee; Deirdre Hennessy; Noel E. O'Connor; Kevin McGuinness (CVPR Workshops, 2022)

Embedding Contrastive Unsupervised Features to Cluster In- And Out-of-Distribution Noise in Corrupted Image Datasets. - Paul Albert; Eric Arazo; Noel E. O'Connor; Kevin McGuinness (ECCV (31), 2022)

Pixinwav: Residual Steganography for Hiding Pixels in Audio. - Margarita Geleta; Cristina Punti; Kevin McGuinness; Jordi Pons; Cristian Canton; Xavier Giró-i-Nieto (ICASSP, 2022)

Evaluation of Automatically Generated Video Captions Using Vision and Language Models. - Luis Lebron; Yvette Graham; Noel E. O'Connor; Kevin McGuinness (ICIP, 2022)

Towards advanced robotic manipulation. - Francisco Roldan Sanchez; Stephen J. Redmond; Kevin McGuinness; Noel E. O'Connor (IRC, 2022)

BERTHA: Video Captioning Evaluation Via Transfer-Learned Human Assessment. - Luis Lebron; Yvette Graham; Kevin McGuinness; Konstantinos Kouramas; Noel E. O'Connor (LREC, 2022)

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

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

Improving Person Re-Identification with Temporal Constraints. - Julia Dietlmeier; Feiyan Hu; Frances Ryan; Noel E. O'Connor; Kevin McGuinness (WACV (Workshops), 2022)

Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation. - Paul Albert; Mohamed Saadeldin; Badri Narayanan 002; Jaime B. Fernandez; Brian Mac Namee; Deirdre Hennessy; Noel E. O'Connor; Kevin McGuinness (CoRR, 2022)

Utilizing unsupervised learning to improve sward content prediction and herbage mass estimation. - Paul Albert; Mohamed Saadeldin; Badri Narayanan 002; Brian Mac Namee; Deirdre Hennessy; Aisling H. O'Connor; Noel E. O'Connor; Kevin McGuinness (CoRR, 2022)

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

Dynamic Channel Selection in Self-Supervised Learning. - Tarun Krishna; Ayush K. Rai; Yasser Abdelaziz Dahou Djilali; Alan F. Smeaton; Kevin McGuinness; Noel E. O'Connor (CoRR, 2022)

Random Data Augmentation based Enhancement: A Generalized Enhancement Approach for Medical Datasets. - Sidra Aleem; Teerath Kumar; Suzanne Little; Malika Bendechache; Rob Brennan; Kevin McGuinness (CoRR, 2022)

Cardiac Magnetic Resonance Phase Detection Using Neural Networks. - Carles García-Cabrera; Kathleen M. Curran; Noel E. O'Connor; Kevin McGuinness (AICS, 2023)

Vision Transformers are Inherently Saliency Learners. - Yasser Abdelaziz Dahou Djilali; Kevin McGuinness; Noel E. O'Connor (BMVC, 2023)

Unifying Synergies between Self-supervised Learning and Dynamic Computation. - Tarun Krishna; Ayush K. Rai; Alexandru Drimbarean; Eric Arazo; Paul Albert; Alan F. Smeaton; Kevin McGuinness; Noel E. O'Connor (BMVC, 2023)

Improving Behavioural Cloning with Positive Unlabeled Learning. - Qiang Wang; Robert McCarthy; David Cordova Bulens; Kevin McGuinness; Noel E. O'Connor; Francisco Roldan Sanchez; Nico Gürtler; Felix Widmaier; Stephen J. Redmond (CoRL, 2023)

Hierarchical Reinforcement Learning for In-hand Robotic Manipulation Using Davenport Chained Rotations. - Francisco Roldan Sanchez; Qiang Wang; David Cordova Bulens; Kevin McGuinness; Stephen J. Redmond; Noel E. O'Connor (ICARA, 2023)

Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts. - Mayug Maniparambil; Chris Vorster; Derek Molloy; Noel Murphy; Kevin McGuinness; Noel E. O'Connor (ICCV (Workshops), 2023)

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

Is your noise correction noisy? PLS: Robustness to label noise with two stage detection. - Paul Albert; Eric Arazo; Tarun Krishna; Noel E. O'Connor; Kevin McGuinness (WACV, 2023)

TinyHD: Efficient Video Saliency Prediction with Heterogeneous Decoders using Hierarchical Maps Distillation. - Feiyan Hu; Simone Palazzo; Federica Proietto Salanitri; Giovanni Bellitto; Morteza Moradi 001; Concetto Spampinato; Kevin McGuinness (WACV, 2023)

Motion Aware Self-Supervision for Generic Event Boundary Detection. - Ayush K. Rai; Tarun Krishna; Julia Dietlmeier; Kevin McGuinness; Alan F. Smeaton; Noel E. O'Connor (WACV, 2023)

Unifying Synergies between Self-supervised Learning and Dynamic Computation. - Tarun Krishna; Ayush K. Rai; Alexandru Drimbarean; Alan F. Smeaton; Kevin McGuinness; Noel E. O'Connor (CoRR, 2023)

Behaviour Discriminator: A Simple Data Filtering Method to Improve Offline Policy Learning. - Qiang Wang; Robert McCarthy; David Cordova Bulens; Kevin McGuinness; Noel E. O'Connor; Francisco Roldan Sanchez; Stephen J. Redmond (CoRR, 2023)

Site-specific Deep Learning Path Loss Models based on the Method of Moments. - Conor Brennan; Kevin McGuinness (CoRR, 2023)

An Ensemble Deep Learning Approach for COVID-19 Severity Prediction Using Chest CT Scans. - Sidra Aleem; Mayug Maniparambil; Suzanne Little; Noel E. O'Connor; Kevin McGuinness (CoRR, 2023)

Fast and robust video-based exercise classification via body pose tracking and scalable multivariate time series classifiers. - Ashish Singh; Antonio Bevilacqua; Thach Le Nguyen; Feiyan Hu; Kevin McGuinness; Martin O'Reilly 001; Darragh Whelan; Brian Caulfield 001; Georgiana Ifrim (Data Min. Knowl. Discov., 2023)

Joint one-sided synthetic unpaired image translation and segmentation for colorectal cancer prevention. - Enric Moreu; Eric Arazo; Kevin McGuinness; Noel E. O'Connor (Expert Syst. J. Knowl. Eng., 2023)

Dexterous robotic manipulation using deep reinforcement learning and knowledge transfer for complex sparse reward-based tasks. - 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 (Expert Syst. J. Knowl. Eng., 2023)

Video Anomaly Detection via Spatio-Temporal Pseudo-Anomaly Generation : A Unified Approach. - Ayush K. Rai; Tarun Krishna; Feiyan Hu; Alexandru Drimbarean; Kevin McGuinness; Alan F. Smeaton; Noel E. O'Connor (CVPR Workshops, 2024)

An Accurate Detection Is Not All You Need to Combat Label Noise in Web-Noisy Datasets. - Paul Albert; Jack Valmadre; Eric Arazo; Tarun Krishna; Noel E. O'Connor; Kevin McGuinness (ECCV (49), 2024)

Learning and Reusing Primitive Behaviours to Improve Hindsight Experience Replay Sample Efficiency. - Francisco Roldan Sanchez; Qiang Wang; David Cordova Bulens; Kevin McGuinness; Stephen J. Redmond; Noel E. O'Connor (ICARA, 2024)

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

Learning Saliency From Fixations. - Yasser Abdelaziz Dahou Djilali; Kevin McGuinness; Noel E. O'Connor (WACV, 2024)

Dataset Clustering for Improved Offline Policy Learning. - Qiang Wang; Yixin Deng; Francisco Roldan Sanchez; Keru Wang; Kevin McGuinness; Noel E. O'Connor; Stephen J. Redmond (CoRR, 2024)

Identifying Expert Behavior in Offline Training Datasets Improves Behavioral Cloning of Robotic Manipulation Policies. - Qiang Wang; Robert McCarthy; David Cordova Bulens; Francisco Roldan Sanchez; Kevin McGuinness; Noel E. O'Connor; Stephen J. Redmond (IEEE Robotics Autom. Lett., 2024)

Enhancing Brain Disease Diagnosis with XAI: A Review of Recent Studies. - Nighat Bibi; Jane Courtney; Kevin McGuinness (ACM Trans. Comput. Heal., 2025)