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pro vyhledávání: '"Psaroudakis, Andreas"'
Autor:
Kollias, Dimitrios, Psaroudakis, Andreas, Arsenos, Anastasios, Theofilou, Paraskevi, Shao, Chunchang, Hu, Guanyu, Patras, Ioannis
This paper presents MMA-MRNNet, a novel deep learning architecture for dynamic multi-output Facial Expression Intensity Estimation (FEIE) from video data. Traditional approaches to this task often rely on complex 3-D CNNs, which require extensive pre
Externí odkaz:
http://arxiv.org/abs/2303.00180
Automatic Facial Expression Recognition (FER) has attracted increasing attention in the last 20 years since facial expressions play a central role in human communication. Most FER methodologies utilize Deep Neural Networks (DNNs) that are powerful to
Externí odkaz:
http://arxiv.org/abs/2205.04442
This paper presents our approach for Facial Expression Intensity Estimation from videos. It includes two components: i) a representation extractor network that extracts various emotion descriptors (valence-arousal, action units and basic expressions)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d341893046b3e0158e2aeb76d4346b8b
http://arxiv.org/abs/2303.00180
http://arxiv.org/abs/2303.00180