About Me

I am an Assistant Professor with the School of Electronic Engineering in Dublin City University and a Science Foundation Ireland Funded Investigator at the Insight SFI Centre for Data Analytics and in the ENABLE research programme. I finished my B.Sc (Hons) in Computer Applications and Software Engineering in Dublin City University in 2005 and was awarded a Ph.D. from the School of Electronic Engineering in 2009. I have since been a postdoctoral researcher at the CLARITY Centre for Sensor Web Technologies, and a research fellow at the Insight SFI Centre for Data Analytics.

My primary research interests are computer vision, deep learning, image and video segmentation, segmentation evaluation, machine learning, content-based multimedia information retrieval, and human-computer interaction.

I currently teach EE514: Data Analysis and Machine Learning for the School of Electronic Engineering at DCU.

Links to my:

News

Mar 2021

Our paper "Multi-Objective Interpolation Training for Robustness to Label Noise" was accepted at CVPR 2021.

Links: [arXiv] [GitHub]
Feb 2021

Our joint paper with Eduardo Fonseca and Xavier Serra from UPF Barcelone, entitled "Unsupervised Contrastive Learning of Sound Event Representations" was accepted at ICASSP 2021.

Links: [arXiv]
Jan 2021

We presented three papers at ICPR 2020: Towards Robust Learning with Different Label Noise Distributions, How important are faces for person re-identification?, and FastSal: a Computationally Efficient Network for Visual Saliency Prediction.

Apr 2020

Our paper "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning" was accepted at IJCNN 2020.

Links: [arXiv] [GitHub]

Recent Publications

Multi-Objective Interpolation Training for Robustness to Label Noise, D. Ortego, E. Arazo, P. Albert, N. E. O'Connor, K. McGuinness, Computer Vision and Pattern Recognition (CVPR), 2021 [arXiv] [Code] [BibTeX] (accepted)
Unsupervised Contrastive Learning of Sound Event Representations, E. Fonseca, D. Ortego, K. McGuinness, N. E. O'Connor, X. Serra, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021 [arXiv] [BibTeX] (accepted)
Temporal Bilinear Encoding Network of Audio-Visual Features at Low Sampling Rates, F. Hu, E. Mohedano, N. O'Connor, K. McGuinness, International Conference on Vision Theory and Application (VISAPP), 2021 [arXiv] [BibTeX] (accepted)
Extracting Pasture Phenotype and Biomass Percentages using Weakly Supervised Multi-target Deep Learning on a Small Dataset, B. Narayanan, M. Saadeldin, P. Albert, K. McGuinness, B. M. Namee, Irish Machine Vision and Image Processing Conference (IMVIP), 2021 [arXiv] [BibTeX] (accepted)
Bilingual lexicon induction across orthographically-distinct under-resourced Dravidian languages, B. R. Chakravarthi, N. Rajasekaran, M. Arcan, K. McGuinness, N. E. O'Connor, J. P. McCrae, None, 2020 [DORAS] [aclweb] [BibTeX]
ATSal: An Attention Based Architecture for Saliency Prediction in 360 Videos, Y. Dahou, M. Tliba, K. McGuinness, N. O'Connor, None, 2020 [arXiv] [BibTeX]
A Smart-Site-Survey System using Image-based 3D Metric Reconstruction and Interactive Panorama Visualization, S. Yu, K. McGuinness, P. Moore, D. Azcona, N. O'Connor, Proceedings of the 28th ACM International Conference on Multimedia, 2020 [DOI] [DORAS] [BibTeX]
A Comparative Study of Existing and New Deep Learning Methods for Detecting Knee Injuries using the MRNet Dataset, D. Azcona, K. McGuinness, A. F. Smeaton, International Conference on Intelligent Data Science Technologies and Applications (IDSTA), 2020 [DOI] [DORAS] [arXiv] [BibTeX]
Towards Robust Learning with Different Label Noise Distributions, D. Ortego, E. Arazo, P. Albert, N. E. O'Connor, K. McGuinness, International Conference on Pattern Recognition (ICPR), 2020 [arXiv] [DORAS] [Code] [BibTeX]
How important are faces for person re-identification?, J. Dietlmeier, J. Antony, K. McGuinness, N. E. O'Connor, International Conference on Pattern Recognition (ICPR), 2020 [arXiv] [DORAS] [BibTeX]
FastSal: a Computationally Efficient Network for Visual Saliency Prediction, F. Hu, K. McGuinness, International Conference on Pattern Recognition (ICPR), 2020 [arXiv] [DORAS] [Code] [BibTeX]
Investigating Class-level Difficulty Factors in Multi-label Classification Problems, M. Marsden, K. McGuinness, J. Antony, H. Wei, M. Redzic, J. Tang, Z. Hu, A. Smeaton, N. E. O'Connor, IEEE International Conference on Multimedia and Expo (ICME), 2020 [DOI] [DORAS] [arXiv] [BibTeX]
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning, E. Arazo, D. Ortego, P. Albert, N. E. O'Connor, K. McGuinness, International Joint Conference on Neural Networks (IJCNN), 2020 [DOI] [arXiv] [Code] [BibTeX]
3DSAL: an efficient 3D-CNN architecture for video saliency prediction, Y. A. D. Djilali, M. Sayah, K. McGuinness, N. E. O'Connor, International Conference on Computer Vision Theory and Applications (VISAPP), 2020 [DORAS] [BibTeX]
Feature Learning to Automatically Assess Radiographic Knee Osteoarthritis Severity, J. Antony, K. McGuinness, K. Moran, N. E. O'Connor, Deep Learners and Deep Learner Descriptors for Medical Applications, Springer, 2020 [DOI] [DORAS] [arXiv] [BibTeX]

Open Source

pdf2pptx
Utility to convert a PDF slideshow to Powerpoint PPTX. (Lead Developer)
lecture
Present and annotate PDF slideshows using a browser. (Lead Developer)
Sacred
Sacred is a tool to help you configure, organize, log and reproduce experiments. (Contributor)
saliency-2016-cvpr
Code for our CVPR paper "Shallow and Deep Convolutional Networks for Saliency Prediction" (Contributor)
AXES Home UI
Front end to the AXES home system (AXES EU FP7). (Lead Developer)
AXES Research UI
Front end to the AXES research system (AXES EU FP7). (Lead Developer)
gedit-tm-autocomplete
TextMate Style Autocompletion for Gedit. (Lead Developer)
gedit-pair-char-autocomplete
A gedit plugin that automatically inserts brackets, quotes, and parenthesis. (Lead Developer)

Projects

iHabimap (Principal Investigator)
2018 EPA Research Calls. Started: April 2019, Duration: 4 years.
Habitat mapping, assessment and monitoring with high resolution UAV imagery
SmartBog (Work package leader)
2018 EPA Research Calls. Started: March 2019, Duration: 4 years.
Smart observations of management impacts on peatland function
Huawei Video Project (Principal Investigator)
DIFCO. Started: January 2018, Duration: 12 months.
Deep learning for large scale video classification
Synchronoss project (Principal Investigator)
SFI Insight Targetted Project. Started: January 2017, Duration: 9 months.
Image tagging and near duplicate detection.
Cloud-LSVA (Researcher)
EU H2020. Started: January 2016, Duration: 3 years.
Software for efficient and collaborative semiautomatic labelling and exploitation of large-scale video data solving existing needs for ADAS and Digital Cartography industries. [Website]
VisualID DRAW (Principal Investigator)
Enterprise Ireland Innovation Partnership. Started: April 2015, Duration: 18 months.
Digital asset workflow automation using image recognition.
Irish Times Cropper (Principal Investigator)
SFI Insight Targetted Project. Started: January 2015, Duration: 18 months.
Intelligent image clipping and cropping.
Smart Stadium (Consultant)
DCU, Intel, ASU, Croke Park . Started: January 2015, Duration: .
Pilot test-bed for IoT technologies.
SportsVantage (Principal Investigator)
Enterprise Ireland Commercialization Fund. Started: 2013, Duration: 18 months.
Video and social analytics for sports event detection.
AXES (DCU Technical Lead)
European Union FP7-ICT. Started: January 2011, Duration: 4 years.
The goal of AXES was to develop tools that provide various types of users with new engaging ways to interact with audiovisual libraries, helping them discover, browse, navigate, search and enrich archives. [Website]
Checkventory (Principal Investigator)
Enterprise Ireland Innovation Voucher. Started: 2014, Duration: 4 months.
State-of-the-art report and research plan for image recapture detection on smartphones.
Kinesense (Principal Investigator)
Enterprise Ireland Innovation Voucher. Started: 2013, Duration: 4 months.
State-of-the-art report and research plan to improve video analytics software being used by Kinesense Ltd.
VIOLET (Principal Investigator)
Enterprise Ireland Commercial Feasibility Study. Started: 2013, Duration: 6 months.
Investigating the commercial potential of segmentation tools.
Videocrisp (Principal Investigator)
Enterprise Ireland Innovation Voucher. Started: 2013, Duration: 4 months.
State-of-the-art and research plan for background subtraction and matting in talking-head type videos.
In the Zone (Consultant)
Enterprise Ireland Commercialization Fund. Started: 2012, Duration: 24 months.
Zone-based wifi localization.
Netwatch (Consultant)
Enterprise Ireland Innovation Partnership. Started: 2011, Duration: 18 months.
Image and video surveillance tools.
Sponge It (Researcher)
Enterprise Ireland Innovation Partnership. Started: 2010, Duration: 12 months.
Brand and logo recognition in images.
Disney Communicator (Researcher)
Enterprise Ireland Commercialization Fund. Started: 2009, Duration: 24 months.
Mobile device and HCI research.
K-Space (Ph.D. Researcher)
EU FP7. Started: 2006, Duration: 48 months.
K-Space aimed at narrowing the gap between automatically computed content descriptors, and the richness and subjectivity of semantics in high-level human interpretations of audiovisual media: the semantic gap.

Teaching

Data Analytics and Machine Learning (Lecturer, Module Coordinator)
Graduate Module, Dublin City University. 2017-2021. [Module description]
Computer and Communication System Technologies (Lecturer, Module Coordinator)
Undergraduate Module, Dublin City University. 2018-2021.
Mobile Robotics (Lecturer, Module Coordinator)
Undergraduate Module, Dublin City University. 2018-2021.
Deep Learning for Computer Vision Summer School (Lecturer)
Graduate Summer School, Universitat Politècnica de Catalunya. 2016-2019 (1 week). [2016 Website (Videos and Slides)] [2017 Website (Slides)] [2018 Website (Videos and Slides)]
Digital Worlds (Guest Lecturer)
Undergraduate Module, Dublin City University. 2015, 2016.
Advanced Literature Analysis (Lecturer)
Graduate Module, Dublin City University. 2014-2015.
Image and Video Compression (Lecturer)
Graduate Module, Dublin City University. 2012-2014.
Computer Vision and Interactive Segmentation (Invited Lecturer)
Graduate Seminar Series, Universitat Politècnica de Catalunya. 2013 (2 weeks).
Introduction to Engineering and Computing (Lecturer)
Undergraduate Module, Dublin City University. 2010.
Image and Video Compression (Lab Demonstrator)
Module, Dublin City University. 2006-2009.
Mobile Robotics (Lab Demonstrator)
Module, Dublin City University. 2007.

Students and Former Students

Professional Activities

Journal reviewer

  • IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2018, 2019
  • Computer Vision and Image Understanding (CVIU), 2011, 2014, 2015, 2016, 2017, 2018
  • IEEE Transactions on Multimedia, 2014, 2016, 2017
  • ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2017, 2018
  • Multimedia Tools and Applications (MTAP), 2010, 2013, 2014, 2015, 2016
  • Signal Processing, 2014
  • IET Computer Vision, 2014
  • Signal Processing, Image Communication, 2011, 2014, 2015
  • Pattern Recognition, 2012, 2013, 2014
  • IEEE Transactions on Image Processing, 2011, 2012
  • IEEE Transactions on Computing and Cultural Heritage, 2011
  • ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2010

Programme committees

  • Irish machine vision and image processing conference (IMVIP), 2014, 2015, 2016, 2017, 2018, 2019
  • ACM Multimedia, 2015, 2016, 2017, 2018
  • Irish Conference on Artificial Intelligence and Cognitive Science (AICS), 2018
  • IEEE International Symposium on Multimedia (ISM), 2018
  • SIGIR, 2016
  • Asia Information Retrieval Societies Conference (AIRS), 2016
  • Irish Human Computer Interaction Conference (iHCI), 2014
  • International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS), 2010, 2013
  • European Conference on Information Retrieval (ECIR), 2011

Conference reviewer

  • International Conference on Machine Learning (ICML), 2018, 2020
  • International Conference on Multimedia Retrieval (ICMR), 2014, 2017, 2018, 2019, 2020
  • Neural Information Processing Systems (NIPS), 2016, 2017, 2018, 2019
  • International Conference on Learning Representations (ICLR), 2018
  • International Conference on Image Processing (ICIP), 2011
  • International Conference on Information and Knowledge Management (CIKM), 2010
  • International Conference on Multimedia and Expo (ICME), 2008, 2009

Other

  • DCU computer vision reading group founder and main organizer (2012-)
  • Involved in DCU TRECVid benchmark participation since 2006

Publications

Journals

Restricted Boltzmann machine as an aggregation technique for binary descriptors., S. Sobczak, R. Kapela, K. McGuinness, A. Swietlicka, D. Pazderski, N. E. O’Connor, The Visual Computer, 2019 [DOI] [Springer] [BibTeX]
Few-shot hypercolumn-based mitochondria segmentation in cardiac and outer hair cells in focused ion beam-scanning electron microscopy (FIB-SEM) data, J. Deitlmeier, K. McGuinness, S. Rugonyi, T. Wilson, A. Nuttall, N. O'Connor, Pattern Recognition Letters, 2019 [ScienceDirect] [DOI] [BibTeX]
Predicting Knee Osteoarthritis Severity: Comparative Modeling based on Patient's Data and Plain X-ray Images, J. Abedin, J. Antony, K. McGuinness, K. Moran, N. E. O'Connor, D. Rebholz-Schuhmann, J. Newell, Nature: Scientific Reports, 2019 [DOI] [DORAS] [BibTeX]
Scanpath and Saliency Prediction on 360 degree Images, M. Assens, X. Giro-i-Nieto, K. McGuinness, N. E. O'Connor, Signal Processing: Image Communication, 2018 [DOI] [DORAS] [BibTeX]
Enriching the Fan Experience in a Smart Stadium using Internet of Things Technologies, S. Panchanathan, S. Chakraborty, T. McDaniel, R. Tadayon, B. Fakhri, N. E. O’Connor, M. Marsden, S. Little, K. McGuinness, D. Monaghan, International Journal of Semantic Computing, 2017 [DOI] [BibTeX]
An interactive segmentation tool for quantifying fat in lumbar muscles using axial lumbar-spine MRI, J. Antony, K. McGuinness, N. Welch, J. Coyle, A. Franklyn-Miller, N. O'Connor, K. Moran, Innovation and Research in Biomedical Engineering (IRBM), 2016 [arXiv] [DOI] [DORAS] [BibTeX]
Improving object segmentation by using EEG signals and rapid serial visual presentation, E. Mohedano, G. Healy, K. McGuinness, X. Giro-i-Nieto, N. O'Connor, A. Smeaton, Multimedia Tools and Applications, 2015 [DOI] [DORAS] [Preprint] [BibTeX]
The variance needed to accurately describe jump height from vertical ground reaction force data, C. Richter, K. McGuinness, N. O'Connor, K. Moran, Journal of Applied Biomechanics, 2014 [DOI] [BibTeX]
Detection and classification of anomalous events in water quality datasets within a smart city-smart bay project, T. Sullivan, D. Zhang, K. McGuinness, E. O'Connor, N. O'Connor, F. Regan, Advances in Intelligent Systems, 2014 [DORAS] [Preprint] [BibTeX]
Characterisation and anti-settlement aspects of surface micro-structures from cancer pagurus, T. Sullivan, K. McGuinness, N. O'Connor, F. Regan, Bioinspiration and Biomimetics, 2014 [DOI] [BibTeX]
The video browser showdown: a live evaluation of interactive video search tools , K. Schoeffmann, D. Ahlstrom, W. Bailer, C. Cobarzan, F. Hopfgartner, K. McGuinness, C. Gurrin, C. Frisson, D. Le, M. D. Fabro, H. Bai, W. Weiss, International Journal of Multimedia Information Retrieval, 2014 [DOI] [Preprint] [BibTeX]
Real-time field sports scene classification using colour and frequency space decompositions, R. Kapela, K. McGuinness, N. O'Connor, Journal of Real-time Image Processing, 2014 [DOI] [BibTeX]
Toward automated evaluation of interactive segmentation, K. McGuinness, N. O'Connor, Computer Vision and Image Understanding, 2011 [DOI] [DORAS] [Preprint] [BibTeX]
Wireless aquatic navigator for detection and analysis (WANDA), C. Fay, K. Lau, S. Beirne, K. McGuinness, B. Corcoran, D. Diamond, S. McGovern, G. Coleman, R. Shepherd, G. Alici, G. Spinks, G. Wallace, Sensors and Actuators B: Chemical, 2010 [DOI] [DORAS] [Preprint] [BibTeX]
A comparative evaluation of interactive segmentation algorithms, K. McGuinness, N. O'Connor, Pattern Recognition, 2010 [DOI] [DORAS] [Preprint] [BibTeX]

Conferences

Multi-Objective Interpolation Training for Robustness to Label Noise, D. Ortego, E. Arazo, P. Albert, N. E. O'Connor, K. McGuinness, Computer Vision and Pattern Recognition (CVPR), 2021 [arXiv] [Code] [BibTeX] (accepted)
Unsupervised Contrastive Learning of Sound Event Representations, E. Fonseca, D. Ortego, K. McGuinness, N. E. O'Connor, X. Serra, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021 [arXiv] [BibTeX] (accepted)
Temporal Bilinear Encoding Network of Audio-Visual Features at Low Sampling Rates, F. Hu, E. Mohedano, N. O'Connor, K. McGuinness, International Conference on Vision Theory and Application (VISAPP), 2021 [arXiv] [BibTeX] (accepted)
Extracting Pasture Phenotype and Biomass Percentages using Weakly Supervised Multi-target Deep Learning on a Small Dataset, B. Narayanan, M. Saadeldin, P. Albert, K. McGuinness, B. M. Namee, Irish Machine Vision and Image Processing Conference (IMVIP), 2021 [arXiv] [BibTeX] (accepted)
A Smart-Site-Survey System using Image-based 3D Metric Reconstruction and Interactive Panorama Visualization, S. Yu, K. McGuinness, P. Moore, D. Azcona, N. O'Connor, Proceedings of the 28th ACM International Conference on Multimedia, 2020 [DOI] [DORAS] [BibTeX]
Towards Robust Learning with Different Label Noise Distributions, D. Ortego, E. Arazo, P. Albert, N. E. O'Connor, K. McGuinness, International Conference on Pattern Recognition (ICPR), 2020 [arXiv] [DORAS] [Code] [BibTeX]
How important are faces for person re-identification?, J. Dietlmeier, J. Antony, K. McGuinness, N. E. O'Connor, International Conference on Pattern Recognition (ICPR), 2020 [arXiv] [DORAS] [BibTeX]
FastSal: a Computationally Efficient Network for Visual Saliency Prediction, F. Hu, K. McGuinness, International Conference on Pattern Recognition (ICPR), 2020 [arXiv] [DORAS] [Code] [BibTeX]
Investigating Class-level Difficulty Factors in Multi-label Classification Problems, M. Marsden, K. McGuinness, J. Antony, H. Wei, M. Redzic, J. Tang, Z. Hu, A. Smeaton, N. E. O'Connor, IEEE International Conference on Multimedia and Expo (ICME), 2020 [DOI] [DORAS] [arXiv] [BibTeX]
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning, E. Arazo, D. Ortego, P. Albert, N. E. O'Connor, K. McGuinness, International Joint Conference on Neural Networks (IJCNN), 2020 [DOI] [arXiv] [Code] [BibTeX]
3DSAL: an efficient 3D-CNN architecture for video saliency prediction, Y. A. D. Djilali, M. Sayah, K. McGuinness, N. E. O'Connor, International Conference on Computer Vision Theory and Applications (VISAPP), 2020 [DORAS] [BibTeX]
Comparing data augmentation strategies for deep image classification, S. O'Gara, K. McGuinness, Irish Machine Vision and Image Processing Conference (IMVIP), 2019 [DORAS] [IPRCS] [Code] [BibTeX]
Improving Unsupervised Learning With Exemplar CNNs, E. Arazo, N. O'Connor, K. McGuinness, Irish Machine Vision and Image Processing Conference (IMVIP), 2019 [DORAS] [IPRCS] [BibTeX]
On guiding video object segmentation, D. Ortego, K. McGuinness, J. C. SanMiguel, E. Arazo, J. M. Martínez, N. E. O'Connor, Content Based Multimedia Indexing (CBMI), 2019 [arXiv] [BibTeX]
An Efficient Approximate kNN Graph Method for Diffusion on Image Retrieval, F. Magliani, K. McGuinness, E. Mohedano, A. Prati, Image Analysis and Processing (ICIAP), 2019 [DOI] [BibTeX]
Simple vs complex temporal recurrences for video saliency prediction, P. Linardos, E. Mohedano, J. J. Nieto, N. E. O'Connor, X. Giro-i-Nieto, K. McGuinness, British Machine Vision Conference (BMVC), 2019 [arXiv] [GitHub] [BibTeX]
Unsupervised Label Noise Modeling and Loss Correction, E. Arazo, D. Ortega, P. Albert, N. E. O'Connor, K. McGuinness, International Conference on Machine Learning (ICML), 2019 [arXiv] [GitHub] [DORAS] [Paper (PMLR)] [Slides] [BibTeX]
Assessing Knee OA Severity with CNN Attention-based End-to-end Architectures, M. Gorriz, J. Antony, K. McGuinness, X. Giró-i-Nieto, N. E. O'Connor, International Conference on Medical Imaging with Deep Learning (MIDL), 2019 [Paper (PMLR)] [GitHub] [BibTeX]
Wav2Pix: Speech-conditioned Face Generation using Generative Adversarial Networks, A. Duarte, F. Roldan, M. Tubau, J. Escur, S. Pascual, A. Salvador, E. Mohedano, K. McGuinness, J. Torres, X. Giro-i-Nieto, International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019 [arXiv] [PDF] [Project page] [BibTeX] (accepted)
Exploring the Impact of Training Data Bias on Automatic Generation of Video Captions, A. F. Smeaton, Y. Graham, K. McGuinness, N. E. O'Connor, E. A. Sanchez, International Conference on Multimedia Modeling (MMM), 2019 [DOI] [BibTeX]
Demonstration of an Open Source Framework for Qualitative Evaluation of CBIR Systems, P. G. Duran, E. Mohedano, K. McGuinness, X. Giro-i-Nieto, N. E. O'Connor, ACM Multimedia, 2018 [DOI] [BibTeX]
Saliency Weighted Convolutional Features for Instance Search, E. Mohedano, K. McGuinness, X. Giro-i-Nieto, N. E. O'Connor, Content-Based Multimedia Indexing (CBMI), 2018 [arXiv] [DORAS] [GitHub] [DOI] [BibTeX]
People, Penguins and Petri Dishes: Adapting Object Counting Models to New Visual Domains And Object Types Without Forgetting, M. Marsden, K. McGuinness, S. Little, C. E. Keogh, N. E. O'Connor, Computer Vision and Pattern Recognition (CVPR), 2018 [OpenAccess] [arXiv] [Dataset] [DOI] [BibTeX]
A Text Recognition and Retrieval System for e-Business Image Management, J. Zhou, K. McGuinness, N. E. O'Connor, International Conference on Multimedia Modeling (MMM), 2018 [DORAS] [DOI] [BibTeX]
Educational video classification by using a transcript to image transform and supervised learning, H. Chatbri, M. Oliveira, K. McGuinness, S. Little, K. Kameyama, P. Kwan, A. Sutherland, N. E. O'Connor, International Conference on Image Processing Theory, Tools and Applications (IPTA), 2017 [DORAS] [BibTeX]
ResnetCrowd: A Residual Deep Learning Architecture for Crowd Counting, Violent Behaviour Detection and Crowd Density Level Classification, M. Marsden, K. McGuinness, S. Little, N. E. O'Connor, IEEE Advanced Video and Signal-based Surveillance (AVSS), 2017 [arXiv] [BibTeX]
Automatic Detection of Knee Joints and Quantification of Knee Osteoarthritis Severity using Convolutional Neural Networks, J. Anthony, K. McGuinness, K. Moran, N. E. O'Connor, International Conference on Machine Learning and Data Mining (MLDM), 2017 [arXiv] [DOI] [BibTeX]
Fully Convolutional Crowd Counting On Highly Congested Scenes, M. Marsden, K. McGuinness, S. Little, N. E. O'Connor, International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP), 2017 [arXiv] [DORAS] [BibTeX]
Smart Stadium for Smarter Living: Enriching the Fan Experience, S. Panchanathan, S. Chakraborty, T. McDaniel, M. Bunch, N. E. O’Connor, S. Little, K. McGuinness, M. Marsden, IEEE International Symposium on Multimedia (ISM), 2016 [DOI] [BibTeX]
Quantifying radiographic knee osteoarthritis severity using deep convolutional neural networks, J. Antony, K. McGuinness, N. O'Connor, K. Moran, International Conference on Pattern Recognition (ICPR), 2016 [arXiv] [DORAS] [BibTeX]
Reduction of false alarms triggered by spiders/cobwebs in surveillance camera networks, R. Hebbalaguppe, K. McGuinness, J. Kuklyte, R. Albatal, C. Direkoglu, N. O'Connor, International Conference on Image Processing (ICIP), 2016 [DOI] [DORAS] [Preprint] [BibTeX]
Holistic features for real-time crowd behaviour anomaly detection, M. Marsden, K. McGuinness, S. Little, N. O'Connor, International Conference on Image Processing (ICIP), 2016 [DOI] [arXiv] [BibTeX]
Shallow and deep convolutional networks for saliency prediction, J. Pan, K. McGuinness, E. Sayrol, N. O'Connor, X. Giro-i-Nieto, Computer Vision and Pattern Recognition (CVPR), 2016 [Website] [arXiv] [GitHub] [DORAS] [DOI] [BibTeX]
Bags of local convolutional features for scalable instance search, E. Mohedano, A. Salvador, K. McGuinness, N. O'Connor, X. Giro-i-Nieto, F. Marques, International Conference on Multimedia Retrieval (ICMR), 2016 [GitHub] [arXiv] [DOI] [DORAS] [BibTeX] ★ Best poster award winner
Learning multiple views with orthogonal denoising autoencoders, T. Ye, T. Wang, K. McGuinness, Y. Guo, C. Gurrin, International Conference on Multimedia Modelling (MMM), 2016 [DOI] [DORAS] [Preprint] [BibTeX] ★ Best paper award winner
Improving spatial codification in semantic segmentation, C. Ventura, X. Giro-i-Nieto, V. Vilaplana, K. McGuinness, F. Marques, N. O'Connor, International Conference on Image Processing (ICIP), 2015 [DOI] [DORAS] [Preprint] [BibTeX]
Exploring EEG for object detection and retrieval, E. Mohedano, K. McGuinness, G. Healy, N. O'Connor, A. Smeaton, A. Salvador, S. Porta, X. Giro-i-Nieto, International Conference on Multimedia Retrieval (ICMR), 2015 [DOI] [arXiv] [DORAS] [BibTeX]
Object segmentation in images using EEG signals, E. Mohedano, G. Healy, K. McGuinness, X. Giro-i-Nieto, N. O'Connor, A. Smeaton, ACM Multimedia (MM), 2014 [DOI] [arXiv] [DORAS] [BibTeX]
Fat quantification in MRI-defined lumbar muscles, J. Antony, K. McGuinness, N. Welch, J. Coyle, A. Franklyn-Miller, N. O'Connor, K. Moran, International Conference on Image Processing Theory, Tools, and Applications (IPTA), 2014 [DOI] [DORAS] [Preprint] [BibTeX]
Beyond metadata: searching your archive based on its audiovisual content, T. Tommasi, O. Parkhi, R. Aly, K. McGuinness, R. Ordelman, K. Chatfield, A. Zisserman, R. Arandjelovic, T. Tuytelaars, IBC 2014, 2014 [PDF] [DOI] [BibTeX]
The AXES research video search system, K. McGuinness, R. Aly, K. Chatfield, O. Parkhi, R. Arandjelovic, M. Douze, M. Kemman, M. Kleppe, P. V. D. Kreeft, K. Macquarrie, A. Ozerov, N. O'Connor, F. D. Jong, A. Zisserman, C. Schmid, P. Perez, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2014 [Preprint] [DORAS] [BibTeX]
Audio-visual classification video browser, D. Scott, Z. Zhang, R. Albatal, K. McGuinness, E. Acar, F. Hopfgartner, C. Gurrin, N. O'Connor, A. Smeaton, International Conference on MultiMedia Modeling (MMM), 2014 [DOI] [DORAS] [Preprint] [BibTeX]
Average precision: good guide or false friend to multimedia search effectiveness? , R. Aly, D. Trieschnigg, K. McGuinness, N. O'Connor, F. D. Jong, International Conference on MultiMedia Modeling (MMM), 2014 [DOI] [Preprint] [BibTeX]
Smart multi-modal marine monitoring via visual analysis and data fusion, D. Zhang, E. O'Connor, T. Sullivan, K. McGuinness, F. Regan, N. O'Connor, ACM Multimedia Workshop on Multimedia analysis for Ecological Data (MAED), 2013 [DOI] [DORAS] [Preprint] [BibTeX]
Improved graph cut segmentation by learning a contrast model on the fly, K. McGuinness, N. O'Connor, International Conference on Image Processing (ICIP), 2013 [DOI] [DORAS] [Preprint] [BibTeX]
The AXES PRO video search system, K. McGuinness, N. O'Connor, R. Aly, F. D. Jong, K. Chatfield, O. Parkhi, R. Arandjelovic, A. Zisserman, M. Douze, C. Schmid, ACM International Conference on Multimedia Retrieval (ICMR), 2013 [DOI] [DORAS] [Preprint] [BibTeX]
Identification of an optimal principal components analysis threshold to describe jump height accurately using vertical ground reaction forces, C. Richter, K. McGuinness, L. Gualano, N. O'Connor, K. Moran, International Society of Biomechanics, 2013 [DORAS] [Preprint] [BibTeX]
Identification of moving objects in poor quality surveillance data, J. Kuklyte, K. McGuinness, R. Hebbalaguppe, C. Direkoglu, L. Gualano, N. O'Connor, International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS), 2013 [DOI] [BibTeX]
How interaction methods affect image segmentation: user experience in the task, R. Hebbalaguppe, K. McGuinness, J. Kuklyte, G. Healy, N. O'Connor, IEEE Workshop on User-Centred Computer Vision (UCCV), 2013 [DOI] [DORAS] [Preprint] [BibTeX]
DCU at MMM 2013 video browser showdown, D. Scott, J. Guo, C. Gurrin, F. Hopfgartner, K. McGuinness, A. Smeaton, Y. Yang, Z. Zhang, Multimedia modeling conference (MMM), 2013 [DOI] [BibTeX]
A visual sensing platform for creating a smarter multi-modal marine monitoring network, D. Zhang, E. O'Connor, K. McGuinness, N. O'Connor, F. Regan, A. Smeaton, ACM Multimedia Workshop on Multimedia Analysis for Ecological Data (MAED), 2012 [DOI] [DORAS] [Preprint] [BibTeX]
The AXES-lite video search engine, S. Chen, K. McGuinness, R. Aly, N. O'Connor, F. D. Jong, IEEE International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS), 2012 [DOI] [DORAS] [Preprint] [BibTeX]
Link anchors in images: is there truth?, R. Aly, K. McGuinness, M. Kleppe, R. Ordelman, N. O'Connor, F. D. Jong, Dutch Belgian Information Retrieval Workshop (DIR), 2012 [PDF] [DORAS] [BibTeX]
Efficient storage and decoding of SURF feature points, K. McGuinness, K. McCusker, N. O'Hare, N. O'Connor, International Conference on Multimedia Modelling (MMM), 2012 [DOI] [DORAS] [Preprint] [BibTeX]
Creation of virtual worlds from 3D models retrieved from content-aware networks based on sketch and image queries, T. Semertzidis, K. McGuinness, P. Daras, L. Makris, N. O'Connor, M. G. Strintzis, International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS), 2011 [DORAS] [Preprint] [BibTeX]
The K-Space segmentation tool set, K. McGuinness, N. O'Connor, Semantic and Digital Media Technologies (SAMT), 2008 [DORAS] [Preprint] [Poster] [BibTeX]
Incorporating spatio-temporal mid-level features in a region segmentation algorithm for video sequences, I. Gonzalez-Diaz, K. McGuinness, T. Adamek, F. Diaz-de-Maria, N. O'Connor, IEEE International Conference on Image Processing (ICIP), 2008 [DOI] [BibTeX]
Visual analysis for drum sequence transcription, K. McGuinness, O. Gillet, G. Richard, N. O'Connor, European Signal Processing Conference (EUSIPCO), 2007 [IEEExplore] [PDF] [DORAS] [Preprint] [BibTeX]
Image segmentation evaluation using an integrated framework, K. McGuinness, G. Keenan, T. Adamek, N. O'Connor, International Conference on Visual Information Engineering (VIE), 2007 [PDF] [DORAS] [BibTeX]
A framework for integrating and evaluating automatic region-based segmentation algorithms, K. McGuinness, G. Keenan, T. Adamek, N. O'Connor, International Conference on Semantics And Digital Media Technology (SAMT), 2006 [BibTeX]

Workshops

Bilingual lexicon induction across orthographically-distinct under-resourced Dravidian languages, B. R. Chakravarthi, N. Rajasekaran, M. Arcan, K. McGuinness, N. E. O'Connor, J. P. McCrae, None, 2020 [DORAS] [aclweb] [BibTeX]
ATSal: An Attention Based Architecture for Saliency Prediction in 360 Videos, Y. Dahou, M. Tliba, K. McGuinness, N. O'Connor, None, 2020 [arXiv] [BibTeX]
A Comparative Study of Existing and New Deep Learning Methods for Detecting Knee Injuries using the MRNet Dataset, D. Azcona, K. McGuinness, A. F. Smeaton, International Conference on Intelligent Data Science Technologies and Applications (IDSTA), 2020 [DOI] [DORAS] [arXiv] [BibTeX]
MediaEval 2019: concealed FGSM perturbations for privacy preservation, P. Linardos, S. Little, K. McGuinness, MediaEval 2019 Workshops, 2019 [arXiv] [DORAS] [BibTeX]
PathGAN: Visual Scanpath Prediction with Generative Adversarial Networks, M. Assens, X. Giro-i-Nieto, K. McGuinness, N. E. O'Connor, ECCV Workshop on Egocentric Perception, Interaction and Computing (EPIC), 2018 [Website] [DORAS] [arXiv] [SlideShare] [GitHub] [BibTeX]
Saltinet: Scan-path prediction on 360 degree images using saliency volumes, M. Assens, K. McGuinness, X. Giro-i-Nieto, N. E. O’Connor, ICCV workshops, 2017 [arXiv] [CVF] [DORAS] [DOI] [BibTeX]
Automatic MOOC video classification using transcript features and convolutional neural networks, H. Chatbri, K. McGuinness, S. Little, K. Kameyama, P. Kwan, N. E. O’Connor, CM Workshop on Multimedia-based Educational and Knowledge Technologies for Personalized and Social Online Training, 2017 [DOI] [BibTeX]
SalGAN: Visual Saliency Prediction with Generative Adversarial Networks, J. Pan, C. Canton, K. McGuinness, N. E. O'Connor, J. Torres, E. Sayrol, X. Giro-i-Nieto, Computer Vision and Pattern Recognition Workshops, 2017 [arXiv] [BibTeX]
Semantic indexing of wearable camera images: Kids'Cam concepts, A. Smeaton, K. McGuinness, C. Gurrin, J. Zhou, N. O'Connor, P. Wang, B. Davis, L. Azevedo, A. Freitas, L. Signal, M. Smith, J. Stanley, M. Barr, T. Chambers, C. N. Mhurchu, Workshop on Vision and Language Integration Meets Multimedia Fusion (ACM Multimedia), 2016 [DOI] [Slides] [DORAS] [BibTeX]
Where is my phone? Personal object retrieval from egocentric images, C. Reyes, E. Mohedano, K. McGuinness, N. O'Connor, X. Giro-i-Nieto, International Workshop on Lifelogging Tools and Applications (ACM Multimedia), 2016 [arXiv] [Website] [DOI] [DORAS] [BibTeX]
EEG-based saliency maps, E. Mohedano, G. Healy, K. McGuinness, X. Giro-i-Nieto, N. O'Connor, A. Smeaton, Computer Vision and Pattern Recognition Workshops (CVPR), 2015 [Poster] [BibTeX]

Book chapters

Feature Learning to Automatically Assess Radiographic Knee Osteoarthritis Severity, J. Antony, K. McGuinness, K. Moran, N. E. O'Connor, Deep Learners and Deep Learner Descriptors for Medical Applications, Springer, 2020 [DOI] [DORAS] [arXiv] [BibTeX]
Object Retrieval with Deep Convolutional Features, E. Mohedano, A. Salvador, K. McGuinness, X. Giro-i-Nieto, N. E. O'Connor, F. Marques, Deep Learning for Image Processing Applications, IOS Press, 2017 [DOI] [BibTeX]
Real­-time event detection in field sport videos, R. Kapela, K. McGuinness, A. Swietlicka, N. O'Connor, Computer Vision in Sports, Springer, 2015 [Preprint] [DORAS] [DOI] [BibTeX]

Non-refereed

Dublin City University and Partners’ Participation in the INS and VTT Tracks at TRECVid 2016, M. Marsden, E. Mohedano, K. McGuinness, A. Calafell, X. Giro-i-Nieto, N. E. O'Connor, J. Zhou, L. Azavedo, T. Daudert, B. Davis, M. Hurlimann, H. Afli, J. Du, D. Ganguly, W. Li, A. Way, A. F. Smeaton, NIST TRECVid Workshop, 2016 [DORAS] [BibTeX]
Insight DCU at TRECVID 2015, K. McGuinness, E. Mohedano, A. Salvador, Z. Zhang, M. Marsden, P. Wang, I. Jargalsaikhan, J. Antony, X. Giro-i-Nieto, S. Satoh, N. O’Connor, A. Smeaton, NIST TRECVid Workshop, 2015 [PDF] [BibTeX]
Insight Centre for Data Analytics (DCU) at TRECVid 2014: instance search and semantic indexing tasks, K. McGuinness, E. Mohedano, Z. Zhang, F. Hu, R. Albatal, C. Gurrin, N. O’Connor, A. Smeaton, A. Salvador, X. Giro-i-Nieto, C. Ventura, NIST TRECVid Workshop, 2014 [PDF] [DORAS] [BibTeX]
The AXES submissions at TRECVid 2013, R. Aly, R. Arandjelovic, K. Chatfield, M. Douze, B. Fernando, K. McGuinness, N. O'Connor, D. Oneata, O. Parkhi, D. Potapov, J. Revaud, C. Schmid, J. Schwenninger, D. Scott, T. Tuytelaars, J. Verbeek, H. Wang, A. Zisserman, NIST TRECVid Workshop, 2013 [PDF] [DORAS] [BibTeX]
AXES at TRECVid 2012: KIS, INS, and MED, R. Aly, K. McGuinness, S. Chen, N. O'Connor, K. Chatfield, O. Parkhi, R. Arandjelovic, A. Zisserman, B. Fernando, T. Tuytelaars, D. Oneata, M. Douze, J. Revaud, J. Schwenninger, D. Potapov, H. Wang, Z. Harchaoui, J. Verbeek, C. Schmid, NIST TRECVid Workshop, 2012 [PDF] [DORAS] [BibTeX]
AXES at TRECVid 2011, K. McGuinness, R. Aly, S. Chen, M. Frappier, M. Kleppe, H. Lee, R. Ordelman, R. Arandjelovic, M. Juneja, C. V. Jawahar, A. Vedaldi, J. Schwenninger, S. Tschopel, D. Schneider, N. O'Connor, A. Zisserman, A. Smeaton, H. Beunders, NIST TRECVid Workshop, 2011 [PDF] [DORAS] [BibTeX]
TRECVID 2010 experiments at dublin city university, C. Foley, J. Guo, D. Scott, P. Wilkins, C. Gurrin, A. Smeaton, P. Ferguson, K. McCusker, E. S. Diaz, K. McGuinness, X. Giro-i-Nieto, F. Marques, NIST TRECVid Workshop, 2010 [PDF] [Slides] [DORAS] [BibTeX]
K-Space at TRECVid 2008, P. Wilkins, D. Byrne, G. Jones, H. Lee, G. Keenan, K. McGuinness, N. O'Hare, A. Smeaton, T. Adamek, NIST TRECVid Workshop, 2008 [PDF] [DORAS] [BibTeX]
K-Space at TRECVid 2007, P. Wilkins, T. Adamek, D. Byrne, G. Jones, H. Lee, G. Keenan, K. McGuinness, A. Smeaton, A. Amin, Z. Obrenovic, R. Benmokhtar, E. Galmar, B. Huet, S. Essid, R. Landais, F. Vallet, G. Papadopoulos, S. Vrochidis, V. Mezaris, I. Kompatsiaris, E. Spyrou, Y. Avrithis, R. Morzinger, P. Schallauer, W. Bailer, T. Piatrik, K. Chandramouli, E. Izquierdo, M. Haller, L. Goldmann, A. Samour, A. Cobet, T. Sikora, P. Praks, NIST TRECVid Workshop, 2007 [PDF] [DORAS] [BibTeX]
K-Space at TRECVid 2006, P. Wilkins, T. Adamek, P. Ferguson, M. Hughes, G. Jones, G. Keenan, K. McGuinness, J. Malobabic, D. Sadlier, A. Smeaton, R. Benmokhtar, E. Dumont, B. Huet, B. Merialdo, E. Spyrou, G. Koumoulos, Y. Avrithis, R. Moerzinger, P. Schallauer, W. Bailer, Q. Zhang, T. Piatrik, K. Chandramouli, E. Izquierdo, L. Goldmann, M. Haller, T. Sikora, P. Praks, J. Urban, X. Hilaire, J. Jose, NIST TRECVid Workshop, 2006 [PDF] [DORAS] [BibTeX]

Contact

Dr. Kevin McGuinness
Room S.361
Dublin City University
Glasnevin
Dublin 9
+353-1-700-5133
© Kevin McGuinness 2016