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Salvador A, Carlier A, Giró-i-Nieto X, Marques O, Charvillat V. Crowdsourced Object Segmentation with a Game. In ACM Workshop on Crowdsourcing for Multimedia (CrowdMM). Barcelona; 2013.

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Salvador A. Crowdsourced Object Segmentation with a Game. Giró-i-Nieto X, Carlier A, Charvillat V, Marques O. 2013.

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Marqués F. Cuantificacion de lesiones de columna vertebral a partir de imagenes. In VIII Simposium Nacional de la Unión Científica Internacional de Radio. 1993. pp. 433–437.

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Marqués F. Cuantificador vectorial con clasificador difuso para la codificacion. In VIII Simposium Nacional de la Unión Científica Internacional de Radio. 1993. pp. 369–373.

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• BibTex

Salvador A, Zeppelzauer M, Manchon-Vizuete D, Calafell A, Giró-i-Nieto X. Cultural Event Recognition with Visual ConvNets and Temporal Models. In CVPR ChaLearn Looking at People Workshop 2015. 2015.

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Gonzalez-i-Calabuig M. Curriculum Learning for Recurrent Video Object Segmentation. Giró-i-Nieto X, Ventura C. 2020.

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Gonzalez-i-Calabuig M, Ventura C, Giró-i-Nieto X. Curriculum Learning for Recurrent Video Object Segmentation. In ECCV 2020 Women in Computer Vision Workshop. 2020.

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 (1.76 MB)

Duarte A. Data and methods for a visual understanding of sign languages. Torres J, Giró-i-Nieto X. Signal Theory and Communications. 2022.

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Vidal J, Sayrol E, Maribel M. Data Hidding in Color Images using Perceptual Models. In COST 254 Intelligent Processing and Facilities for Communications Terminals. 2000. pp. 21–25.

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Ramon E. Deep Learning algorithms for 3D Reconstruction and Simulation of Aesthetic Procedures. Giró-i-Nieto X. 2018.

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Balibrea M. Deep learning for semantic segmentation of airplane hyperspectral imaging. Salgueiro L, Vilaplana V. 2019.

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Deep Learning Representations for All (a.k.a. the AI hype). 2019.

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Giró-i-Nieto X. Deep Learning Representations for All (a.ka. the AI hype). 2021.

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 (10.95 MB)

Campos V. Deep Learning that Scales: Leveraging Compute and Data. Torres J, Giró-i-Nieto X. Computer Architecture. [Barcelona, Catalonia]: Universitat Politècnica de Catalunya; 2020.

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 (8.55 MB)

Giró-i-Nieto X. Deep Self-Supervised Learning for All. 2020.

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Geleta M, Mas-Montserrat D, Bustamante C, Giró-i-Nieto X, Ioannidis AG. Deep variational autoencoders for population genetics: applications in classification, imputation, dimensionality reduction, and novel lossless data compression. In American Society of Human Genetics (ASHG). Virtual: ASHG; 2021.

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Broquetas A, Hernando J, Marqués F, Romeu J. Definició d'un Master Internacional de Recerca: la proposta del Departament de Teoria del Senyal i Comunicacions. In Jornada de reflexión y trabajo sobre el modelo docente de la UPC en el Espacio Europeo de ecuación Superior (EEES). 2004. pp. 1–3.

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Gomez P, Mohedano E, McGuinness K, Giró-i-Nieto X, O'Connor N. Demonstration of an Open Source Framework for Qualitative Evaluation of CBIR Systems. In ACM Multimedia. Seoul, South Korea: ACM; 2018.

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Lin X, Sanchez-Escobedo D, Casas J, Pardàs M. Depth Estimation and Semantic Segmentation from a Single RGB Image Using a Hybrid Convolutional Neural Network. Sensors. 2019;19(8).

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 (4.75 MB)

Maceira M, Ruiz-Hidalgo J, Morros JR. Depth map coding based on a optimal hierarchical region representation. In 3DTV Conference. Zurich, Switzerland: IEEE; 2012.

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 (857.21 KB)

Maceira M, Morros JR, Ruiz-Hidalgo J. Depth map compression via 3D region-based representation. Multimedia Tools and Applications. 2016;.

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Palou G, Salembier P. Depth order estimation for video frames using motion occlusions. IET Computer Vision. 2014;8(2):152-160.

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Palou G, Salembier P. Depth Ordering on Image Sequences Using Motion Occlusions. In IEEE Int. Conf. in Image Processing, ICIP 2012. Orlando, Florida, USA; 2012.

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Marcello J. Desarrollo de técnicas de procesado de imágenes, multitemporales y multisensoriales, de teledetección para la detección y seguimiento de estructuras oceanográficas. Marqués F, Eugenio F. Universidad de Las Palmas de Gran Canaria (ULPGC); 2006.

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Benitez AB, Martinez JM, Rising H, Salembier P. Description of a Single Multimedia Document. In Introduction to the mpeg-7: multimedia content description interface. B. S. Manjunath, P. Salembier, T. Sikora (Eds.). Wiley; 2002. pp. 111–138.

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