Search Publication
] . Detection of Semantic Objects using Description Graphs. In IEEE International Conference on Image Processing. Genova, Italy; 2005. 
(743.52 KB)
(743.52 KB). Region-based annotation tool using partition trees. In International Conference on Semantic and Digital Media Technologies. Genova, Italy; 2007. pp. 3–4.
. Digimatge, a Rich Internet Application for video retrieval from a Multimedia Asset Management system. In 11th ACM SIGMM International Conference on Multimedia Information Retrieval. 2010. (978.9 KB)
(978.9 KB). From Partition Trees to Semantic Trees. In International Workshop on Multimedia Content Representation, Classification and Security. 2006. pp. 306–313.
. La convergència de la TV cap al PC. Barcelona, Catalonia: Diari Avui; 2004 .
. Solucions de programari lliure en un projecte d'adaptació de dades a XML. In V Jornades de Programari Lliure de la UPC. 2006.
. 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). Synthesis of Prostate MRI Scans: A Comparison of StyleGAN2-ADA and Latent Diffusion Models. In Conferencia de la Asociación Española para la Inteligencia Artificial, IABioMed workshop. 2024.
. Fruit Detection in an Apple Orchard Using a Mobile Terrestrial Laser Scanner. Biosystems Engineering. 2019;187.
. 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.
. 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). 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). 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). 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). Multi-modal Deep Learning for Fuji Apple Detection Using RGB-D Cameras and their Radiometric Capabilities. Computers and Electronics in Agriculture. 2019;162.
. Fruit detection and 3D location using instance segmentation neural networks and structure-from-motion photogrammetry. Computers and Electronics in Agriculture. 2020;169.
. Fruit Detection Using Mobile Terrestrial Laser Scanning. In AgEng 2018,. Wageningen (Netherlands); 2018.