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. Diversity ranking for video retrieval from a broadcaster archive. In 1st ACM International Conference on Multimedia Retrieval (ICMR '11). 2011. pp. 1–8. 
(1000.12 KB)
(1000.12 KB). GAT, a Graphical Annotation Tool for semantic regions. Multimedia tools and applications. 2010;46(2-3):155–174.
. Semantic Entity Detection Using Description Graphs. In Digital Media Processing for Multimedia Interactive Services. Singapore: World Scientific Publishing Co.; 2003. pp. 39–42. (516.62 KB)
(516.62 KB). Part-Based Object Retrieval With Binary Partition Trees. . Signal Theory and Communications (UPC). [Barcelona, Catalonia]: Universitat Politècnica de Catalunya (UPC); 2012. p. 215. (16.34 MB)
(16.34 MB). From Global Image Annotation to Interactive Object Segmentation. Multimedia Tools and Applications. 2014;70. (1.71 MB)
(1.71 MB). System architecture for indexing regions in keyframes. In 3rd International Conference on Semantic and digital Media Technologies. Koblenz, Germany; 2008. pp. 1–2. (69.96 KB)
(69.96 KB). System architecture of a web service for Content-Based Image Retrieval. In ACM International Conference On Image And Video Retrieval 2010. 2010. pp. 358–365.
. Sports broadcasting and multiple object tracking with deep learning methods. . Signal Theory and Communications. 2021.
. Multiple Object Tracking with Mixture Density Networks for Trajectory Estimation. In CVPR 2021 Robust Video Scene Understanding: Tracking and Video Segmentation (RVSU) Workshop. 2021.
. A new approach to texture coding using stochastic vector quantization. In IEEE International Conference on Image Processing'94. 1994. pp. 119–123.
. Sistema de gestió de vídeo off-line per una smart-room. . 2007. (4.54 MB)
(4.54 MB). Fruit Detection in an Apple Orchard Using a Mobile Terrestrial Laser Scanner. Biosystems Engineering. 2019;187.
. Uso de redes neuronales convolucionales para la detección remota de frutos con cámaras RGB-D. In Congreso Ibérico de Agroingeniería. Huesca: Universidad de Zaragoza (UZA); 2019. (1.21 MB)
(1.21 MB). KFuji RGB-DS database: Fuji apple multi-modal images for fruit detection with color, depth and range-corrected IR data. Data in Brief. 2019;. (2.43 MB)
(2.43 MB). Video-Based Fruit Detection and Tracking for Apple Counting and Mapping. In IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor). 2023. (680.49 KB)
(680.49 KB). Fuji-SfM dataset: A collection of annotated images and point clouds for Fuji apple detection and location using structure-from-motion photogrammetry. 2020;Data in Brief(Vol. 30).
. Looking behind occlusions: A study on amodal segmentation for robust on-tree apple fruit size estimation. Computers and Electronics in Agriculture. 2023;209. (9.02 MB)
(9.02 MB). Fruit Detection Using Mobile Terrestrial Laser Scanning. In AgEng 2018,. Wageningen (Netherlands); 2018.
. Multi-modal Deep Learning for Fuji Apple Detection Using RGB-D Cameras and their Radiometric Capabilities. Computers and Electronics in Agriculture. 2019;162.
. 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.
. Fruit detection and 3D location using instance segmentation neural networks and structure-from-motion photogrammetry. Computers and Electronics in Agriculture. 2020;169.
. 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.