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] . Curriculum Learning for Recurrent Video Object Segmentation. In ECCV 2020 Women in Computer Vision Workshop. 2020. 
(1.76 MB)
(1.76 MB). Data and methods for a visual understanding of sign languages. . Signal Theory and Communications. 2022.
. Data Hidding in Color Images using Perceptual Models. In COST 254 Intelligent Processing and Facilities for Communications Terminals. 2000. pp. 21–25.
. Deep Learning CT segmentation for dosimetry in postoperative endometrial carcinoma treatment. In XLI Congreso Anual de la Sociedad Española de Ingeniería Biomédica. Cartagena: Ediciones UPCT. Universidad Politécnica de Cartagena; 2023.
Deep Learning Representations for All (a.k.a. the AI hype). 2019. (10.95 MB)
(10.95 MB). Deep Learning Representations for All (a.ka. the AI hype). 2021. (10.95 MB)
(10.95 MB). Deep Learning that Scales: Leveraging Compute and Data. . Computer Architecture. [Barcelona, Catalonia]: Universitat Politècnica de Catalunya; 2020. (8.55 MB)
(8.55 MB). Deep learning-based methodology for smoke plume segmentation of wildfire images. In 14th International Symposium on Fire Safety Science (IAFSS2023). Tsukuba, Japan: International Association for Fire Safety Science (IAFSS); 2023. (146.88 KB)
(146.88 KB). 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.
. 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.
. Demonstration of an Open Source Framework for Qualitative Evaluation of CBIR Systems. In ACM Multimedia. Seoul, South Korea: ACM; 2018. (11.05 MB)
(11.05 MB). Depth Estimation and Semantic Segmentation from a Single RGB Image Using a Hybrid Convolutional Neural Network. Sensors. 2019;19(8). (4.75 MB)
(4.75 MB). Depth map coding based on a optimal hierarchical region representation. In 3DTV Conference. Zurich, Switzerland: IEEE; 2012. (857.21 KB)
(857.21 KB). Depth map compression via 3D region-based representation. Multimedia Tools and Applications. 2016;. (15.02 MB)
(15.02 MB). Depth order estimation for video frames using motion occlusions. IET Computer Vision. 2014;8(2):152-160. (910.25 KB)
(910.25 KB). Depth Ordering on Image Sequences Using Motion Occlusions. In IEEE Int. Conf. in Image Processing, ICIP 2012. Orlando, Florida, USA; 2012. (5.42 MB)
(5.42 MB). Desarrollo de técnicas de procesado de imágenes, multitemporales y multisensoriales, de teledetección para la detección y seguimiento de estructuras oceanográficas. . Universidad de Las Palmas de Gran Canaria (ULPGC); 2006.
. 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.
. Description Schemes for Video Programs, Users and Devices. Signal processing: image communication. 2000;16:211–234. (879.4 KB)
(879.4 KB). Detección automática de contornos en imágenes ecográficas. In III Simposium Nacional de Reconocimiento de Formas y Análisis de Imágenes. 1988. pp. 1–4.