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Duarte A. Data and methods for a visual understanding of sign languages. Torres J, Giró-i-Nieto X. Signal Theory and Communications. 2022.
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.
Ramon E. Deep Learning algorithms for 3D Reconstruction and Simulation of Aesthetic Procedures. Giró-i-Nieto X. 2018.
Balibrea M. Deep learning for semantic segmentation of airplane hyperspectral imaging. Salgueiro L, Vilaplana V. 2019.
Giró-i-Nieto X. Deep Learning Representations for All (a.ka. the AI hype). 2021.  (10.95 MB)
Deep Learning Representations for All (a.k.a. the AI hype). 2019.  (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.  (8.55 MB)
Giró-i-Nieto X. Deep Self-Supervised Learning for All. 2020.
Geleta M, Mas-Montserrat D, Giró-i-Nieto X, Ioannidis AG. Deep Variational Autoencoders for Population Genetics. Submitted;.
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.
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.
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.  (11.05 MB)
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).  (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.  (857.21 KB)
Maceira M, Morros JR, Ruiz-Hidalgo J. Depth map compression via 3D region-based representation. Multimedia Tools and Applications. 2016;.  (15.02 MB)
Palou G, Salembier P. Depth order estimation for video frames using motion occlusions. IET Computer Vision. 2014;8(2):152-160.  (910.25 KB)
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.  (5.42 MB)
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.
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.
Salembier P, Richard Q, O'Connor N, Correia P, Sezan I, van Beek P. Description Schemes for Video Programs, Users and Devices. Signal processing: image communication. 2000;16:211–234.  (879.4 KB)
Alonso AHerrera. Detecció de Text utilitzant Xarxes Neuronals Convolucionals . Vilaplana V. 2015.
Gasull A, Marqués F, Sallent S, Torres L, Vidal J. Detección automática de contornos en imágenes ecográficas. In III Simposium Nacional de Reconocimiento de Formas y Análisis de Imágenes. 1988. pp. 1–4.
Broquetas A, Toronjo C, Gasull A, Fábregas FX, Moreno V, Herrero M. Detección de vertidos de petróleo en el mar a partir de imágenes SAR. In XV Simposium Nacional de la Unión Científica Internacional de Radio. 2000. pp. 327–328.
Carné-Herrera M. Detect Snap Points in Egocentric Images with Physiological Signals. Gurrin C, Giró-i-Nieto X. 2016.  (4.63 MB)
Suau X, Ruiz-Hidalgo J, Casas J. Detecting End-Effectors on 2.5D data using Geometric Deformable Models: Application to Human Pose Estimation. Computer Vision and Image Understanding (CVIU). 2013;117(3).  (1.44 MB)

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