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A deep learning approach for automatic video coding of deic..:

, In: 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME),

Bruschetta, Roberta ; Campisi, Simona ; Mastrogiuseppe, Marilina... - p. 1-6 , 2023

Link: https://doi.org/10.1109/ICECCME57830.2023.10253245

RT 
T1 <cTitle>2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)</cTitle>: T1 <Title>A deep learning approach for automatic video coding of deictic gestures in children with autism</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10253245&Exemplar=1&LAN=DE
				
A1 Bruschetta, Roberta
A1 Campisi, Simona
A1 Mastrogiuseppe, Marilina
A1 Leonardi, Elisa
A1 Aiello, Stefania
A1 Salvatore, Christian
A1 Venturi, Alessandro
A1 Schiavon, Elia
A1 Campisi, Agrippina
A1 Fama, Francesca Isabella
A1 Carrozza, Cristina
A1 Blandino, Carla
A1 Marino, Flavia
A1 Cerasa, Antonio
A1 Capirci, Olga
A1 Pioggia, Giovanni
A1 Ruta, Liliana
A1 Tartarisco, Gennaro
YR 2023
K1 Deep learning
K1 Training
K1 Video coding
K1 Autism
K1 Computer vision
K1 Feature extraction
K1 Transformers
K1 deep learning
K1 transformer architecture
K1 autism
K1 deictic gestures
SP 1
OP 6
LK http://dx.doi.org/https://doi.org/10.1109/ICECCME57830.2023.10253245
DO https://doi.org/10.1109/ICECCME57830.2023.10253245
SF ELIB - SuUB Bremen

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