Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Carlo Gatta"'
Autor:
Manuel Campos-Taberner, Adriana Romero-Soriano, Carlo Gatta, Gustau Camps-Valls, Adrien Lagrange, Bertrand Le Saux, Anne Beaupere, Alexandre Boulch, Adrien Chan-Hon-Tong, Stephane Herbin, Hicham Randrianarivo, Marin Ferecatu, Michal Shimoni, Gabriele Moser, Devis Tuia
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 9, Iss 12, Pp 5547-5559 (2016)
In this paper, we discuss the scientific outcomes of the 2015 data fusion contest organized by the Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society (IEEE GRSS). As for previous years, the
Externí odkaz:
https://doaj.org/article/bfa02af46c654043b1022ae06944806b
Autor:
Manuel Campos-Taberner, Javier Garcia-Haro, Jose E. Adsuara, Adriana Romero, Gustau Camps-Valls, Carlo Gatta
Publikováno v:
Deep Learning for the Earth Sciences
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
Publikováno v:
Pattern Recognition. 112:107795
Deep metric learning methods aim to measure similarity of data points (e.g. images) by calculating their distance in a high dimensional embedding space. These methods are usually trained by optimizing a ranking loss function, which is designed to bri
Publikováno v:
Pattern Recognition Letters. 74:9-16
An effcient method to capture the most informative image parts.Different instances of feature-driven MSER are presented.Feature-driven MSER are assessed in terms of completeness in a large-scale test.Feature-driven MSER are assessed in terms of compl
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 37:1716-1722
We propose a meta-parameter free, off-the-shelf, simple and fast unsupervised feature learning algorithm, which exploits a new way of optimizing for sparsity. Experiments on CIFAR-10, STL-10 and UCMerced show that the method achieves the state-of-the
Autor:
Ivar Farup, Carlo Gatta
Publikováno v:
Electronic Imaging
Color Imaging: Displaying, Processing, Hardcopy, and Applications
Color Imaging: Displaying, Processing, Hardcopy, and Applications
ifferent reproduction devices can have different sets of re-producible colours. These sets are called gamuts. The processof transforming colours from one device (or image) gamut to an-other is called gamut mapping. Gamut mapping has many techni-cal i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::334a23891a48f5efc891f1d163902787
https://hdl.handle.net/11250/2433089
https://hdl.handle.net/11250/2433089
Publikováno v:
IEEE Transactions on Image Processing. 23:3633-3645
Person description is a challenging problem in computer vision. We investigated two major aspects of person description: 1) gender and 2) action recognition in still images. Most state-of-the-art approaches for gender and action recognition rely on t
Autor:
Oriol Pujol, Richard W. Downe, Francesco Ciompi, E. Gerardo Mendizabal-Ruiz, Andreas Wahle, Guy Cloutier, Stephane Carlier, Tomas Kovarnik, Dimitrios I. Fotiadis, Elias Sanidas, Gozde Unal, Simone Balocco, Josepa Mauri, Marina Alberti, Petia Radeva, Hsiang-Chou Chen, Ching-Wei Wang, François Destrempes, Mariano Rivera, Xavier Carillo, Timur Aksoy, Ioannis A. Kakadiaris, Themis P. Exarchos, Carlo Gatta
Publikováno v:
Computerized Medical Imaging and Graphics, 38, 2, pp. 70-90
Recercat. Dipósit de la Recerca de Catalunya
instname
Computerized Medical Imaging and Graphics, 38, 70-90
Dipòsit Digital de la UB
Universidad de Barcelona
Recercat. Dipósit de la Recerca de Catalunya
instname
Computerized Medical Imaging and Graphics, 38, 70-90
Dipòsit Digital de la UB
Universidad de Barcelona
Contains fulltext : 136858.pdf (Publisher’s version ) (Open Access) This paper describes an evaluation framework that allows a standardized and quantitative comparison of IVUS lumen and media segmentation algorithms. This framework has been introdu
Publikováno v:
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Local image features are often used to efficiently represent image content. The limited number of types of features that a local feature extractor responds to might be insufficient to provide a robust image representation. To overcome this limitation