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Author [ Title] Type Year Filters: First Letter Of Last Name is G [Clear All Filters]
2D to 3D body pose estimation for sign language with Deep Learning. . 2020. (2.97 MB)
. 2D-to-3D Lifting of Sign Language Body Poses with Recurrent Neural Networks. . Barcelona: UPC ETSETB TelecomBCN; 2021 . (340.44 KB)
. 3D compression of medical data based on cube-splitting and embedded block coding. In ProRISC/IEEE Workshop. Veldhoven, The Netherlands; 2000.
. 619 - un ejemplo de diseño del laboratorio para asignaturas con créditos teóricos y prácticos. In VIII Congreso Universitario de Innovación Educativa en las Enseñanzas Técnicas. 2000. pp. 233–240.
. Accurate and automatic NOAA-AVHRR image navigation using a global contour matching approach. In International Geoscience and remote Sensing Symposium. 2000. pp. 639–642.
. Acoustic event detection based on feature-level fusion of audio and video modalities. Eurasip journal on advances in signal processing. 2011;2011:1–11.
. Active Deep Learning for Medical Imaging Segmentation. . 2017. (2.84 MB)
. Active Deep Learning for Medical Imaging Segmentation. In Medical Image meets NIPS 2017 Workshop. 2017. (187.43 KB)
. Active Deep Learning for Medical Imaging Segmentation. . 2017. (2.84 MB)
. Active Deep Learning for Medical Imaging Segmentation. In Medical Image meets NIPS 2017 Workshop. 2017. (187.43 KB)
. Adversarial Learning for Feature Shift Detection and Correction. In Neural Information Processing Systems (NeurIPS). New Orleans, USA; 2023.
. Adversarial Learning for Feature Shift Detection and Correction. In Neural Information Processing Systems (NeurIPS). New Orleans, USA; 2023.
. AmodalAppleSize_RGB-D dataset: RGB-D images of apple trees annotated with modal and amodal segmentation masks for fruit detection, visibility and size estimation. Data in Brief. 2024;52.
. AmodalAppleSize_RGB-D dataset: RGB-D images of apple trees annotated with modal and amodal segmentation masks for fruit detection, visibility and size estimation. Data in Brief. 2024;52.
. Analisis de no estacionariedades en la interpolacion de imagenes. In VI Simposium Nacional de la Unión Científica Internacional de Radio. 1991. pp. 985–989.
. Analisis y optimizacion del algoritmo k-means aplicado a teledeteccion en ima. In IV Simposium Nacional de Reconocimiento de Formas y Análisis de Imágenes. 1990. pp. 17–23.
. Analysis and optimization of the K-Means algorithm for remote sensing applications. In Pattern recognition and image analysis. 1992. pp. 0–0.
. . Antiextensive connected operators for image and sequence processing. IEEE transactions on image processing. 1998;7:555–570. (487.58 KB)
. Anti-extensive Connected Operators with Application to Image Sequences. In VII Simposium Nacional de Reconocimiento de Formas y Análisis de Imágenes. Barcelona, Spain; 1997. pp. 151–156. (228.46 KB)
. Aplicació rica d'internet per a la consulta amb text i imatge a la Corporació Catalana de Mitjans Audiovisuals. . 2009. (6.01 MB)
. Artificial intelligence to predict positivity of sentinel lymph node biopsy in melanoma patients. In European Association of Dermato Oncology (EADO 2022). 2022.
. Aspectos Clínicos-toxicológicos en los trabajadores de una industria productora de cromatos. Annual review of pharmacology and toxicology. 1990;7:1:13–1:20.
. Assessing Knee OA Severity with CNN attention-based end-to-end architectures. In International Conference on Medical Imaging with Deep Learning (MIDL) 2019. London, United Kingdom: JMLR; 2019. (3.1 MB)
. Assessing Knee OA Severity with CNN attention-based end-to-end architectures. In International Conference on Medical Imaging with Deep Learning (MIDL) 2019. London, United Kingdom: JMLR; 2019. (3.1 MB)
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