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Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatio-Temporal Graph Convolutional Network for Action Recognition
Papadopoulos, Konstantinos; Ghorbel, Enjie; Aouada, Djamila et al.
2021In International Conference on Pattern Recognition, Milan 10-15 January 2021
Peer reviewed
 

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Disciplines :
Computer science
Author, co-author :
Papadopoulos, Konstantinos ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > CVI2
Ghorbel, Enjie  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > CVI2
Aouada, Djamila  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > CVI2
Ottersten, Björn ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
External co-authors :
no
Language :
English
Title :
Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatio-Temporal Graph Convolutional Network for Action Recognition
Publication date :
2021
Event name :
25th International Conference on Pattern Recognition
Event date :
from 10-01-2021 to 15-01-2021
Main work title :
International Conference on Pattern Recognition, Milan 10-15 January 2021
Peer reviewed :
Peer reviewed
FnR Project :
FNR10415355 - 3d Action Recognition Using Refinement And Invariance Strategies For Reliable Surveillance, 2015 (01/06/2016-31/05/2019) - Bjorn Ottersten
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since 19 October 2020

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