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] . Content-based Video Summarisation to Object Maps. . 2013. 
(3.73 MB)
(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)
(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)
(2.95 MB). 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). 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)
(2.45 MB). Insight DCU at TRECVID 2015. In TRECVID 2015 Workshop. Gaithersburg, MD, USA: NIST; 2015. (2.13 MB)
(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)
(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)
(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)
(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)
(3.73 MB). Saliency Weighted Convolutional Features for Instance Search. In Content-Based Multimedia Indexing - CBMI. La Rochelle, France: IEEE; 2018. (3.8 MB)
(3.8 MB). Exploring EEG for Object Detection and Retrieval. In ACM International Conference on Multimedia Retrieval (ICMR) . Shanghai, China; 2015. (5.37 MB)
(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)
(341.96 KB). Improving Object Segmentation by using EEG signals and Rapid Serial Visual Presentation. Multimedia Tools and Applications. 2015;. (3.86 MB)
(3.86 MB). Teaching Students to Teach Computers. In International Congress on University Teaching and Innovation (CIDUI). 2012. (5.25 MB)
(5.25 MB). Real-time user independent hand gesture recognition from time-of-flight camera video using static and dynamic models. Machine vision and applications. 2013;24(1):187–204.
. Weakly Supervised Semantic Segmentation for Remote Sensing Hyperspectral Imaging. In International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020). 2020.