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1 Ergebnisse
1
Generative Adversarial Graph Convolutional Networks for Hum..:
, In:
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
,
Degardin, Bruno
;
Neves, Joao
;
Lopes, Vasco
... - p. 2753-2762 , 2022
Link:
https://doi.org/10.1109/WACV51458.2022.00281
RT T1 <cTitle>2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)</cTitle>: T1 <Title>Generative Adversarial Graph Convolutional Networks for Human Action Synthesis</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9707098&Exemplar=1&LAN=DE A1 Degardin, Bruno A1 Neves, Joao A1 Lopes, Vasco A1 Brito, Joao A1 Yaghoubi, Ehsan A1 Proenca, Hugo YR 2022 SN 2642-9381 K1 Convolutional codes K1 Measurement K1 Computer vision K1 Shape K1 Stochastic processes K1 Computer architecture K1 Generative adversarial networks K1 Deep Learning -> Graph Neural Networks Biometrics -> Human Motion Analysis/Capture; Deep Learning; Deep Learning -> Adversarial Learning; Adversarial Attack and Defense Methods; Deep Learning -> Neural Generative Models; Autoencoders; GANs SP 2753 OP 2762 LK http://dx.doi.org/https://doi.org/10.1109/WACV51458.2022.00281 DO https://doi.org/10.1109/WACV51458.2022.00281 SF ELIB - SuUB Bremen
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