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. Teaching Students to Teach Computers. In International Congress on University Teaching and Innovation (CIDUI). 2012. 
(5.25 MB)
(5.25 MB). Object Retrieval with Deep Convolutional Features. In Deep Learning for Image Processing Applications. Amsterdam, The Netherlands: IOS Press; 2017.
. Object segmentation in images using EEG signals. In ACM Multimedia. Orlando, Florida (USA); 2014.
. Saliency Weighted Convolutional Features for Instance Search. In Content-Based Multimedia Indexing - CBMI. La Rochelle, France: IEEE; 2018. (3.8 MB)
(3.8 MB). Improving Object Segmentation by using EEG signals and Rapid Serial Visual Presentation. Multimedia Tools and Applications. 2015;. (3.86 MB)
(3.86 MB). Investigating EEG for Saliency and Segmentation Applications in Image Processing. . 2013. (332.54 KB)
(332.54 KB). Fine-tuning of CNN models for Instance Search with Pseudo-Relevance Feedback. Long Beach, CA, USA: NIPS 2017 Women in Machine Learning Workshop; 2017. (341.96 KB)
(341.96 KB). Exploring Visual Representations for Sign Language Translation. . 2022. (700.12 KB)
(700.12 KB). Morphological tools for segmentation: connected operators and watersheds. Annales des télecommunications. Annals of telecommunications. 1997;52:366–379.
. QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation--Analysis of Ranking Metrics and Benchmarking Results. Journal of Machine Learning for Biomedical Imaging. 2022;.
. Visual Summary of Egocentric Photostreams by Representative Keyframes. . 2015. (1.36 MB)
(1.36 MB). Objective evaluation criteria for 2-D shape estimation results of moving objects. Eurasip Journal on Applied Signal Processing. 2002;2002:401–409.
. Insight DCU at TRECVID 2015. In TRECVID 2015 Workshop. Gaithersburg, MD, USA: NIST; 2015. (2.13 MB)
(2.13 MB). Insight Centre for Data Analytics (DCU) at TRECVid 2014: Instance Search and Semantic Indexing Tasks. In 2014 TRECVID Workshop. Orlando, Florida (USA): National Institute of Standards and Technology (NIST); 2014. (2.45 MB)
(2.45 MB). Segmentation and tracking of video objects for content-based video indexing. In IEEE International Conference on Multimedia and Expo, ICME'2000. New York City, NY, USA; 2000. pp. 305–309.
. Open-Ended Visual Question-Answering. . 2016. (7.03 MB)
(7.03 MB). Towards Automatic Generation of Question Answer Pairs from Images. Las Vegas, NV, USA: Visual Question Answering Challenge Workshop, CVPR 2016; 2016 . (206.92 KB)
(206.92 KB). Generative Moment Matching Networks for Genotype Simulation. In 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22). 2022. (2.95 MB)
(2.95 MB). Picking groups instead of samples: A close look at Static Pool-based Meta-Active Learning. In ICCV Workshop - MDALC 2019. Seoul, South Korea; 2019. (911.15 KB)
(911.15 KB). Content-based Video Summarisation to Object Maps. . 2013. (3.73 MB)
(3.73 MB). A closed-loop approach for tracking a humanoid robot using particle filtering and depth data. Intelligent Service Robotics. 2017;10(4):297–312. (88.92 KB)
(88.92 KB). 3D Shape Reconstruction from a Humanoid Generated Video Sequence. In IEEE International Conference on Humanoid Robots. Madrid; 2014. (4.61 MB)
(4.61 MB). Dublin City University and Partners' Participation in the INS and VTT Tracks at TRECVid 2016. In TRECVID Workshop 2016. Gaithersburg, MD, USA; 2016.
. How are digital TV programs compressed to allow broadcasting?. In: . Applied signal processing. 2009. pp. 311–359.
. Shape and location coding for contour images. In PROC. OF THE 1993 PICTURE CODING SYMPOSIUM. 1993. pp. 61–63.