Zobrazeno 1 - 10
of 1 192
pro vyhledávání: '"Degardin, A."'
Autor:
Clément Tarrano, Cécile Galléa, Cécile Delorme, Eavan M. McGovern, Cyril Atkinson-Clement, Vanessa Brochard, Stéphane Thobois, Christine Tranchant, David Grabli, Bertrand Degos, Jean Christophe Corvol, Jean-Michel Pedespan, Pierre Krystkowiak, Jean-Luc Houeto, Adrian Degardin, Luc Defebvre, Benoit Beranger, Davide Martino, Emmanuelle Apartis, Marie Vidailhet, Emmanuel Roze, Yulia Worbe
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Psychiatric symptoms are common in neurodevelopmental movement disorders, including some types of dystonia. However, research has mainly focused on motor manifestations and underlying circuits. Myoclonus-dystonia is a rare and homogeneous ne
Externí odkaz:
https://doaj.org/article/c1866a1963714179a033c4666633d649
Neural Architecture Search (NAS) benchmarks significantly improved the capability of developing and comparing NAS methods while at the same time drastically reduced the computational overhead by providing meta-information about thousands of trained n
Externí odkaz:
http://arxiv.org/abs/2303.16938
Neural Architecture Search (NAS) methods have been successfully applied to image tasks with excellent results. However, NAS methods are often complex and tend to converge to local minima as soon as generated architectures seem to yield good results.
Externí odkaz:
http://arxiv.org/abs/2208.06475
Autor:
Wilfinger, F.C., Zhang, J.M., Nguyen, D., Dégardin, J., Bergonzo, P., Picaud, S., Borda, E., Ghezzi, D., Scorsone, E., Lissorgues, G., Rousseau, L.
Publikováno v:
In Diamond & Related Materials October 2024 148
Neural Architecture Search (NAS) methods have been successfully applied to image tasks with excellent results. However, NAS methods are often complex and tend to converge to local minima as soon as generated architectures seem to yield good results.
Externí odkaz:
http://arxiv.org/abs/2110.15232
Synthesising the spatial and temporal dynamics of the human body skeleton remains a challenging task, not only in terms of the quality of the generated shapes, but also of their diversity, particularly to synthesise realistic body movements of a spec
Externí odkaz:
http://arxiv.org/abs/2110.11191
Publikováno v:
In Neurocomputing 1 June 2024 584
It is known that the kinematics of the human body skeleton reveals valuable information in action recognition. Recently, modeling skeletons as spatio-temporal graphs with Graph Convolutional Networks (GCNs) has been reported to solidly advance the st
Externí odkaz:
http://arxiv.org/abs/2105.06711
Autor:
Abdel Karim, Abdel Karim, Vincent, Cocquempot, Amine, Atoui M., Pierre, Laly, Virginie, Degardin
Publikováno v:
In IFAC PapersOnLine 2024 58(4):354-359
Publikováno v:
In Image and Vision Computing September 2023 137