Search Publication
] . 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.
. 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).
. Fruit Detection Using Mobile Terrestrial Laser Scanning. In AgEng 2018,. Wageningen (Netherlands); 2018.
. 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.
. Sistema de gestió de vídeo off-line per una smart-room. . 2007. (4.54 MB)
(4.54 MB). A new approach to texture coding using stochastic vector quantization. In IEEE International Conference on Image Processing'94. 1994. pp. 119–123.
. 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.
. MPEG-7 Descriptors for Earth Observation Satellites. In International Astronautical Congress. Houston, Texas (USA): Inernational Astronautical Federation; 2002. pp. 1–4. (267.36 KB)
(267.36 KB). From partition trees to semantic trees. In Multimedia Content Representation, Classification and Security. 2006. pp. 306–313. (966.49 KB)
(966.49 KB). One Perceptron to Rule Them All: Language and Vision. 2019. (15.61 MB)
(15.61 MB). La meitat de les notícies que consumirem el 2022 seran falses. Sant Joan Despí: Corporació Catalana de Mitjans Audiovisuals; 2017.
. From Partition Trees to Semantic Trees. In 2ndas Jornades UPC de Investigación en Automática, Visión y Robótica. 2006. pp. 187–194.
. Part-Based Object Retrieval With Binary Partition Trees. In Doctoral Consortium in Computer Vision and Pattern Recognition (CVPR). Providence (RI), USA: IEEE Computer Society; 2012. (993.04 KB)
(993.04 KB). One Perceptron to Rule Them All: Language, Vision, Audio and Speech (tutorial). In ACM International Conference on Multimedia Retrieval (ICMR) 2020. Dublin, Ireland: ACM; 2020. (313.96 KB)
(313.96 KB). Volumetric Data Compression based on Cube-Splitting and Embedded Block Coding by Optimized Truncation. 2000. (1.36 MB)
(1.36 MB). Interactive segmentation and tracking of video objects. In Image Analysis for Multimedia Interactive Services (WIAMIS), 2012 13th International Workshop on. Dublin, Ireland: IEEE; 2012. (1.05 MB)
(1.05 MB). The Moonlight project: bringing light to our satellite. In Proceedings of the 4th International Conference on Solar Power from Space SPS'04 The 4th International Conference on Solar Power SPS'04 together with the 5th International Conference on Wireless Power transmissions WPT 5. 2004. pp. 99–100. (937.41 KB)
(937.41 KB). The edition of the Wikipedia as an academic activity. In 4rt. Congrés Internacional de Docència Unversitària i Innovació. Barcelona, Catalonia; 2006. p. –. (801.45 KB)
(801.45 KB)