Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Randrianarivo, Hicham"'
Publikováno v:
GEM: Graph Embedding and Mining - ECML/PKDD Workshops, Sep 2021, Bilbao, Spain
Web Image Context Extraction (WICE) consists in obtaining the textual information describing an image using the content of the surrounding webpage. A common preprocessing step before performing WICE is to render the content of the webpage. When done
Externí odkaz:
http://arxiv.org/abs/2108.11629
Recently, Graphcore has introduced an IPU Processor for accelerating machine learning applications. The architecture of the processor has been designed to achieve state of the art performance on current machine intelligence models for both training a
Externí odkaz:
http://arxiv.org/abs/2002.11670
Publikováno v:
Joint Urban Remote Sensing Event (JURSE), May 2019, Vannes, France
When one wants to train a neural network to perform semantic segmentation, creating pixel-level annotations for each of the images in the database is a tedious task. If he works with aerial or satellite images, which are usually very large, it is eve
Externí odkaz:
http://arxiv.org/abs/1904.03983
Autor:
Portaz, Maxime, Randrianarivo, Hicham, Nivaggioli, Adrien, Maudet, Estelle, Servan, Christophe, Peyronnet, Sylvain
Multilingual (or cross-lingual) embeddings represent several languages in a unique vector space. Using a common embedding space enables for a shared semantic between words from different languages. In this paper, we propose to embed images and texts
Externí odkaz:
http://arxiv.org/abs/1903.11299
Autor:
Randrianarivo, Hicham
Ce travail concerne l'interprétation du contenu des images aériennes optiques panchromatiques très haute résolution. Deux méthodes pour la classification du contenu de ces images ont été développées. Une méthode basée sur la détection des
Externí odkaz:
http://www.theses.fr/2016CNAM1117/document
Publikováno v:
Advances in Information Retrieval
Qwant Image Similarity Search (QISS) is a multi-lingual image similarity search engine based on a dual path neural networks that embed texts and images into a common feature space where they are easily comparable. Our demonstrator, available at http:
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmc_________::8dac1fce75ef3abc2ebcfc2052f9e029
http://europepmc.org/articles/PMC7148035
http://europepmc.org/articles/PMC7148035
Autor:
Randrianarivo, Hicham
This work is about interpretation of the content of very high resolution aerial optical panchromatic images. Two methods are proposed for the classification of this kind of images. The first method aims at detecting the instances of a class of object
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______166::572f84dfecfad73d1257e631a9ef1059
https://theses.hal.science/tel-01482119v2
https://theses.hal.science/tel-01482119v2
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Lagrange, Adrien, Le Saux, Bertrand, Beaupere, Anne, Boulch, Alexandre, Chan-Hon-Tong, Adrien, Herbin, Stephane, Randrianarivo, Hicham, Ferecatu, Marin
Publikováno v:
2015 IEEE International Geoscience & Remote Sensing Symposium (IGARSS); 2015, p4173-4176, 4p
Autor:
Campos-Taberner, Manuel, Romero-Soriano, Adriana, Gatta, Carlo, Camps-Valls, Gustau, Lagrange, Adrien, Le Saux, Bertrand, Beaupere, Anne, Boulch, Alexandre, Chan-Hon-Tong, Adrien, Herbin, Stephane, Randrianarivo, Hicham, Ferecatu, Marin, Shimoni, Michal, Moser, Gabriele, Tuia, Devis
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing; Dec2016 Part 2, Vol. 9 Issue 12, p5547-5559, 13p