Search Publication

Export 271 results:
Author Title [ Type(Desc)] Year
Filters: First Letter Of Last Name is V  [Clear All Filters]
Conference Paper
Avrithis Y, Stamou G, Wallace M, Marqués F, Salembier P, Giró-i-Nieto X, et al.. Unified access to heterogeneous audiovisual archives. In International Conference on Knowledge Management. Graz, Austria; 2003. pp. 1–2.
Ventura C, Tella M, Giró-i-Nieto X. UPC at MediaEval 2013 Hyperlinking Task. In MediaEval 2013 Workshop. Barcelona, Catalonia: CEUR Workshop Proceedings Vol-1043; 2013.  (1.62 MB)
India M, Varas D, Vilaplana V, Morros JR, Hernando J. UPC System for the 2015 MediaEval Multimodal Person Discovery in Broadcast TV task. In MediaEval 2015 Workshop. Wurzen, Germany; 2015.  (163.11 KB)
India M, Varas D, Vilaplana V, Morros JR, Hernando J. UPC System for the 2015 MediaEval Multimodal Person Discovery in Broadcast TV task. In MediaEval 2015 Workshop. Wurzen, Germany; 2015.  (163.11 KB)
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)
Herrera-Palacio A, Ventura C, Giró-i-Nieto X. Video Object Linguistic Grounding. In ACM Multimedia Workshop on Multimodal Understanding and Learning for Embodied Applications (MULEA). Nice, France: ACM; 2019.  (441.12 KB)
Fernàndez D, Varas D, Espadaler J, Ferreira J, Woodward A, Rodríguez D, et al.. ViTS: Video Tagging System from Massive Web Multimedia Collections. In ICCV 2017 Workshop on Web-scale Vision and Social Media . Venice, Italy; 2017.  (1.18 MB)
Puch S, Aduriz A, Casamitjana A, Vilaplana V, Gispert JD. Voxelwise nonlinear regression toolbox for neuroimage analysis: Application to aging and neurodegenerative disease modeling. In NIPS 2016 Workshop on Machine Learning for Health. 2016.  (1.6 MB)
Moliner E, Salgueiro L, Vilaplana V. Weakly Supervised Semantic Segmentation for Remote Sensing Hyperspectral Imaging. In International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020). 2020.
Fernàndez D, Varas D, Bou E, Giró-i-Nieto X. What is going on in the world? A display platform for media understanding. In IEEE Multimedia Information Processing and Retrieval (MIPR) Conference. Miami, FL (USA): IEEE; 2018.  (700.85 KB)
Journal Article
Maceira M, Varas D, Morros JR, Ruiz-Hidalgo J, Marqués F. 3D hierarchical optimization for multi-view depth map coding. Multimedia Tools and Applications. 2017;.  (4.23 MB)
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.
Wang L, Nie D, Li G, Puybareau E, Dolz J, Zhang Q, et al.. Benchmark on Automatic 6-month-old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge. IEEE Transactions on Medical Imaging. 2019;.
Vilaplana V, Marqués F, Salembier P. Binary partition trees for object detection. IEEE transactions on image processing. 2008;17:1–16.  (1.66 MB)
Cumplido-Mayoral I, García-Prat M, Operto G, Falcon C, Shekari M, Cacciaglia R, et al.. Biological Brain Age Prediction Using Machine Learning on Structural Neuroimaging Data: Multi-Cohort Validation Against Biomarkers of Alzheimer’s Disease and Neurodegeneration stratified by sex. eLife. 2023;12.
Petrone P, Casamitjana A, Falcon C, Artigues M, Operto G, Skouras S, et al.. Characteristic Brain Volumetric Changes in the AD Preclinical Signature. Alzheimer's & Dementia: The Journal of the Alzheimer's Association. 2018;14(7):P1235.
Casamitjana A, Petrone P, Falcon C, Artigues M, Operto G, Cacciaglia R, et al.. Detection of Amyloid-Positive Cognitively Unimpaired Individuals Using Voxel-Based Machine Learning on Structural Longitudinal Brain MRI. Alzheimer's & Dementia. 2019;15(754).
Temprana-Salvador J, López-García P, Vives JCastellví, de Haro L, Ballesta E, Abusleme MRojas, et al.. DigiPatICS: Digital Pathology Transformation of the Catalan Health Institute Network of 8 Hospitals - Planification, Implementation and Preliminary Results. Diagnostics. 2022;12(4).
Cuadras C, Valero S, Cuadras D, Salembier P, Chanussot J. Distance-based measures of association with applications in relating hyperspectral images. Communications in Statistics - Theory and Method. 2012;41:2342–2355.  (296.22 KB)
Abadal S, Salgueiro L, Marcello J, Vilaplana V. A Dual Network for Super-Resolution and Semantic Segmentation of Sentinel-2 imagery. Remote Sensing. 2021;13(22):4547.
Marqués F, Vilaplana V. Face segmentation and tracking based on connected operators and partition projection. Pattern recognition. 2002;35:601–614.
Pina O, Vilaplana V. Feature propagation as self-supervision signals on graphs. Knowledge-Based Systems. Submitted;.
Gené-Mola J, Sanz R, Rosell-Polo JR, Morros JR, Ruiz-Hidalgo J, Vilaplana V, et al.. Fruit detection and 3D location using instance segmentation neural networks and structure-from-motion photogrammetry. Computers and Electronics in Agriculture. 2020;169.
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, Sanz R, Rosell-Polo JR, Morros JR, Ruiz-Hidalgo J, Vilaplana V, et al.. 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).

Pages