Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Nivaggioli, A."'
Autor:
Dedieu, Lucas, Nerrienet, Nicolas, Nivaggioli, Adrien, Simmat, Clara, Clavel, Marceau, Gauthier, Arnaud, Sockeel, Stéphane, Peyret, Rémy
Recent advancements in deep learning have proven highly effective in medical image classification, notably within histopathology. However, noisy labels represent a critical challenge in histopathology image classification, where accurate annotations
Externí odkaz:
http://arxiv.org/abs/2404.07605
Autor:
Nivaggioli, Adrien, Pozin, Nicolas, Peyret, Rémy, Sockeel, Stéphane, Sockeel, Marie, Nerrienet, Nicolas, Clavel, Marceau, Simmat, Clara, Miquel, Catherine
In biomedical imaging, deep learning-based methods are state-of-the-art for every modality (virtual slides, MRI, etc.) In histopathology, these methods can be used to detect certain biomarkers or classify lesions. However, such techniques require lar
Externí odkaz:
http://arxiv.org/abs/2303.05180
Autor:
Nivaggioli, Adrien, Rohmer, Damien
Publikováno v:
Motion, Interaction and Games, Oct 2019, Newcastle, United Kingdom
We propose a method leveraging the naturally time-related expressivity of our voice to control an animation composed of a set of short events. The user records itself mimicking onomatopoeia sounds such as "Tick", "Pop", or "Chhh" which are associated
Externí odkaz:
http://arxiv.org/abs/1910.08462
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:
Chang, Debby P., Burra, Shalini, Day, Eric S., Chan, Joyce, Comps-Agrar, Laetitia, Nivaggioli, Thierry, Rajagopal, Karthikan
Publikováno v:
In Journal of Pharmaceutical Sciences February 2021 110(2):860-870
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol IV-2-W5, Pp 61-68 (2019)
Industrial companies often require complete inventories of their infrastructure. In many cases, a better inventory leads to a direct reduction of cost and uncertainty of engineering. While large scale panoramic surveys now allow these inventories to
Externí odkaz:
https://doaj.org/article/4377fcf3fe2d40a18a02cd42036030ca
Publikováno v:
2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0270cd97fe7fd0342aa09b9a5c09b599
https://doi.org/10.1109/vtc2022-fall57202.2022.10012946
https://doi.org/10.1109/vtc2022-fall57202.2022.10012946
Autor:
Rajagopal, Karthikan *, Wood, Joseph, Tran, Benjamin, Patapoff, Thomas W., Nivaggioli, Thierry
Publikováno v:
In Journal of Pharmaceutical Sciences August 2013 102(8):2655-2666
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