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Marqués F, Gasull A. Codificacion de imagenes: un metodo de segunda generacion. In VII Simposium Nacional de la Unión Científica Internacional de Radio. 1992. pp. 144–148.
Marqués F, Gasull A. Segmentacion de imagenes mediante modelos de gibbs-markov. In VI Simposium Nacional de la Unión Científica Internacional de Radio. 1991. pp. 975–979.
Marqués F, Vera V, Gasull A. Top-down 3d image sequence segmentation technique controlled by morphological. In EUSIPCO-94. 1994. pp. 415–418.
Marqués F, Gasull A. Partition coding using multigrid chain code and motion compensation. In IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING. 1996.
Marqués F, Llorens B, Gasull A. Interpolation and extrapolation of iomage partitions using fourier descriptions: to segmentation-based coding schemes. In IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING'95. 1995. pp. 584–587.
Marqués F, Vilaplana V, Buxes A. A morphological approach for human face segmentation and tracking. In Workshop on Image Analysis for Multimedia Services. 1999. pp. 41–44.
Marqués F, Meyer F, Pardàs M, Salembier P. General requirements for coding oriented segmentation of video sequences. Annales des télecommunications. Annals of telecommunications. 1997;52:359–366.
Marqués F, Salembier P. Video compresssion standards. In Electronic imaging technology. Edward R. Dougherty (Ed.). SPIE Optical Engineering Press; 1999. pp. 31–64.
Marsden M, Mohedano E, McGuinness K, Calafell A, Giró-i-Nieto X, O'Connor N, et al.. Dublin City University and Partners' Participation in the INS and VTT Tracks at TRECVid 2016. In TRECVID Workshop 2016. Gaithersburg, MD, USA; 2016.
Martínez H, Davins M, Cárdenas I, M. Romero L, A. Marín L, Barelles F, et al.. Smart Bus Stops: AI-Driven Public Transport Optimization. In 12th International Congress on Transportation Research. Thessaloniki, Greece; 2025.  (4.78 MB)
Martínez H, Morros JR, Nikiforiadis A, Salanova JM, Kortsari A, Manola E. Enhancing Micromobility Safety and Infrastructure Monitoring through Computer Vision and Real-Time Data Integration. In 8th Conference on Sustainable Mobility (CSuM 2026). Skyros Island, Greece; 2026.  (352.47 KB)
Martínez PA, Lin X, Castelán M, Casas JR, Arechavaleta G. 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)
Martínez PA, Varas D, Castelán M, Camacho M, Marqués F, Arechavaleta G. 3D Shape Reconstruction from a Humanoid Generated Video Sequence. In IEEE International Conference on Humanoid Robots. Madrid; 2014.  (4.61 MB)
Martos M. Content-based Video Summarisation to Object Maps. Giró-i-Nieto X, Eidenberger H. 2013.  (3.73 MB)
Mas I, Morros JR, Vilaplana V. 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)
Mas I, Morros JR, Ruiz-Hidalgo J, Huerta I. GeometRep-SR: A 2D Representation Framework for Real-Time Unguided 3D SuperResolution. In 35th International Conference on Artificial Neural Networks (ICANN 2026). Padua, Italy; In Press.
Mas-Montserrat D, Perera M, Barrabés M, Geleta M, Giró-i-Nieto X, Ioannidis AG. 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)
Masuda-Mora I. Open-Ended Visual Question-Answering. Pascual-deLaPuente S, Giró-i-Nieto X. 2016.  (7.03 MB)
Masuda-Mora I, Pascual-deLaPuente S, Giró-i-Nieto X. Towards Automatic Generation of Question Answer Pairs from Images. Las Vegas, NV, USA: Visual Question Answering Challenge Workshop, CVPR 2016; 2016 .  (206.92 KB)
Maziere M, Chassaing F, Garrido L, Salembier P. 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.
McGuinness K, Mohedano E, Zhang ZX, Hu F, Albatal R, Gurrin C, et al.. 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)
McGuinness K, Mohedano E, Salvador A, Zhang ZX, Marsden M, Wang P, et al.. Insight DCU at TRECVID 2015. In TRECVID 2015 Workshop. Gaithersburg, MD, USA: NIST; 2015.  (2.13 MB)
Mech R, Marqués F. Objective evaluation criteria for 2-D shape estimation results of moving objects. Eurasip Journal on Applied Signal Processing. 2002;2002:401–409.
Mederos-Barrera A, Albors L, Marques F, Marcello J, Martinez G, Eugenio F. Comparison of Conventional Machine Learning and Convolutional Deep Learning models for Seagrass Mapping using Satellite Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2025;:1-19.
Mederos-Barrera A, Albors L, Martinez G, Marcello J, Eugenio F, Marques F. Generación de mapas de comunidades y hábitats bentónicos mediante el modelo Deep Learning U-Net utilizando imágenes satelitales multiespectrales de muy alta resolución. In XX Congreso de la Asociación Española de Teledetección. Cádiz, España: Universidad de Cádiz; 2024.

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