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Giró-i-Nieto X, Marqués F. 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)
Giró-i-Nieto X, Ventura C, Pont-Tuset J, Cortés S, Marqués F. 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.
Giró-i-Nieto X, Marqués F. Detection of Semantic Entities using Description Graphs. In 4th European Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS). London, England; 2003.  (223.48 KB)
Giró-i-Nieto X. BitSearch, the blog before the thesis. In VI International Congress of University Teaching and Innovation. Barcelona, Catalonia; 2010.
Giró-i-Nieto X, Marqués F. Detection of Semantic Objects using Description Graphs. In IEEE International Conference on Image Processing. Genova, Italy; 2005.  (743.52 KB)
Giró-i-Nieto X. Learning Representations for Sign Language Videos. 2021.
Giró-i-Nieto X. Deep Self-Supervised Learning for All. 2020.
Giró-i-Nieto X. Image and Video Object Segmentation with Low Supervision. 2020.
Giró-i-Nieto X, Camps N, Marqués F. Region-based annotation tool using partition trees. In International Conference on Semantic and Digital Media Technologies. Genova, Italy; 2007. pp. 3–4.
Giró-i-Nieto X, Salla R, Vives X. 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)
Giró-i-Nieto X, Ventura C. Image Segmentation with Deep Learning. 2020.
Giró-i-Nieto X, Marqués F. From Partition Trees to Semantic Trees. In International Workshop on Multimedia Content Representation, Classification and Security. 2006. pp. 306–313.
Giró-i-Nieto X. La convergència de la TV cap al PC. Barcelona, Catalonia: Diari Avui; 2004 .
Giró-i-Nieto X, Camps N. Solucions de programari lliure en un projecte d'adaptació de dades a XML. In V Jornades de Programari Lliure de la UPC. 2006.
Girbau A. Sports broadcasting and multiple object tracking with deep learning methods. Rius I, Giró-i-Nieto X, Marqués F. Signal Theory and Communications. 2021.
Girbau A, Giró-i-Nieto X, Rius I, Marqués F. Multiple Object Tracking with Mixture Density Networks for Trajectory Estimation. In CVPR 2021 Robust Video Scene Understanding: Tracking and Video Segmentation (RVSU) Workshop. 2021.
Gimeno M. Interfície gràfica d'usuari per a l'avaluació de classificadors d'imatges. Giró-i-Nieto X. 2010.
Gimeno D, Torres L, Casas J. A new approach to texture coding using stochastic vector quantization. In IEEE International Conference on Image Processing'94. 1994. pp. 119–123.
Gil-Moreno A. Sistema de gestió de vídeo off-line per una smart-room. Casas J. 2007.  (4.54 MB)
Gené-Mola J, Gregorio E, Guevara J, Cheein FAuat, Sanz R, Escolà A, et al.. Fruit Detection in an Apple Orchard Using a Mobile Terrestrial Laser Scanner. Biosystems Engineering. 2019;187.
Gené-Mola J, Ferrer-Ferrer M, Hemming J, Dalfsen P, Hoog D, Sanz-Cortiella R, et al.. 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.
Gené-Mola J, Vilaplana V, Rosell-Polo JR, Morros JR, Ruiz-Hidalgo J, Gregorio E. 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)
Gené-Mola J, Vilaplana V, Rosell-Polo JR, Morros JR, Ruiz-Hidalgo J, Gregorio E. 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)
Gené-Mola J, Ferrer-Ferrer M, Gregorio E, Blok PM, Hemming J, Morros JR, et al.. 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)
Gené-Mola J, Vilaplana V, Rosell-Polo JR, Morros JR, Ruiz-Hidalgo J, Gregorio E. Multi-modal Deep Learning for Fuji Apple Detection Using RGB-D Cameras and their Radiometric Capabilities. Computers and Electronics in Agriculture. 2019;162.

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