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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).
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Detect Snap Points in Egocentric Images with Physiological Signals. . 2016.
(4.63 MB)
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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.
. Detección automática de contornos en imágenes ecográficas. In III Simposium Nacional de Reconocimiento de Formas y Análisis de Imágenes. 1988. pp. 1–4.
. . Description Schemes for Video Programs, Users and Devices. Signal processing: image communication. 2000;16:211–234.
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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.
. 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.
. 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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Depth order estimation for video frames using motion occlusions. IET Computer Vision. 2014;8(2):152-160.
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Depth map compression via 3D region-based representation. Multimedia Tools and Applications. 2016;.
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Depth map coding based on a optimal hierarchical region representation. In 3DTV Conference. Zurich, Switzerland: IEEE; 2012.
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Depth Estimation and Semantic Segmentation from a Single RGB Image Using a Hybrid Convolutional Neural Network. Sensors. 2019;19(8).
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Demonstration of an Open Source Framework for Qualitative Evaluation of CBIR Systems. In ACM Multimedia. Seoul, South Korea: ACM; 2018.
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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.
. 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.
. . . 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.
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Deep Learning that Scales: Leveraging Compute and Data. . Computer Architecture. [Barcelona, Catalonia]: Universitat Politècnica de Catalunya; 2020.
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Deep Learning Representations for All (a.k.a. the AI hype). 2019.
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Deep Learning Representations for All (a.ka. the AI hype). 2021.
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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.
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