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A morphological approach for human face segmentation and tracking. In Workshop on Image Analysis for Multimedia Services. 1999. pp. 41–44.
. Dublin City University and Partners' Participation in the INS and VTT Tracks at TRECVid 2016. In TRECVID Workshop 2016. Gaithersburg, MD, USA; 2016.
. 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)
. 3D Shape Reconstruction from a Humanoid Generated Video Sequence. In IEEE International Conference on Humanoid Robots. Madrid; 2014. (4.61 MB)
. Content-based Video Summarisation to Object Maps. . 2013. (3.73 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)
. 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)
. Open-Ended Visual Question-Answering. . 2016. (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)
. BIOLOGICAL BRAIN-AGE PREDICTION USING MACHINE LEARNING ON NEUROIMAGING DATA: LINKS WITH PATHOPHYSIOLOGICAL MECHANISMS, DEMENTIA RISK FACTORS AND COGNITIVE DECLINE. Department of Experimental and Health Sciences (DCEXS), Universitat Pompeu Fabra. 2024.
. 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.
. 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)
. Insight DCU at TRECVID 2015. In TRECVID 2015 Workshop. Gaithersburg, MD, USA: NIST; 2015. (2.13 MB)
. Objective evaluation criteria for 2-D shape estimation results of moving objects. Eurasip Journal on Applied Signal Processing. 2002;2002:401–409.
. Visual Summary of Egocentric Photostreams by Representative Keyframes. . 2015. (1.36 MB)
. 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;.
. Morphological tools for segmentation: connected operators and watersheds. Annales des télecommunications. Annals of telecommunications. 1997;52:366–379.
. Exploring Visual Representations for Sign Language Translation. . 2022. (700.12 KB)
. Object Retrieval with Deep Convolutional Features. In Deep Learning for Image Processing Applications. Amsterdam, The Netherlands: IOS Press; 2017.
. Investigating EEG for Saliency and Segmentation Applications in Image Processing. . 2013. (332.54 KB)
. Object segmentation in images using EEG signals. In ACM Multimedia. Orlando, Florida (USA); 2014.
. Bags of Local Convolutional Features for Scalable Instance Search. In ACM International Conference on Multimedia Retrieval (ICMR). New York City, NY; USA: ACM; 2016. (3.73 MB)
. Saliency Weighted Convolutional Features for Instance Search. In Content-Based Multimedia Indexing - CBMI. La Rochelle, France: IEEE; 2018. (3.8 MB)
. Exploring EEG for Object Detection and Retrieval. In ACM International Conference on Multimedia Retrieval (ICMR) . Shanghai, China; 2015. (5.37 MB)
. 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)
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