DEF-Net: A Face Aging Model by Using Different Emotional Learnings
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3096061
Abstract: Face aging has attracted widespread attention in recent years, but most studies are based on the same emotional situation. Is the same person’s aging in different emotional situations the same? To solve the above confusion,… read more here.
Keywords: face aging; def net; different emotional; model ... See more keywords
PFA-GAN: Progressive Face Aging With Generative Adversarial Network
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2020.3047753
Abstract: Face aging is to render a given face to predict its future appearance, which plays an important role in the information forensics and security field as the appearance of the face typically varies with age.… read more here.
Keywords: face; generative adversarial; face aging; age ... See more keywords
Semi-supervised face aging and rejuvenating
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DOI: 10.1117/1.jei.30.2.023003
Abstract: Abstract. Face aging and rejuvenating work effectively in public security criminal investigation, cross-age recognition, and entertainment. However, three main problems still exist: the lack of accurate and sufficient dataset, low aging effect, and poor preservation… read more here.
Keywords: face; aging rejuvenating; face aging; semi supervised ... See more keywords
A Face-Aging Smoking Prevention/Cessation Intervention for Nursery School Students in Germany: An Appearance-Focused Interventional Study
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DOI: 10.3390/ijerph15081656
Abstract: The Education Against Tobacco (EAT) network delivers smoking prevention advice in secondary schools, typically using the mirroring approach (i.e., a “selfie” altered with a face-aging app and shared with a class). In November 2017, however,… read more here.
Keywords: intervention; face aging; study; smoking prevention ... See more keywords