Editorial: Deep facial attribute analysis

Yinghui Kong; Ke Zhang; Li Zhang; Gengshen Wu

doi:10.3389/fnins.2023.1280831

Editorial: Deep facial attribute analysis

Front Neurosci. 2023 Sep 5:17:1280831. doi: 10.3389/fnins.2023.1280831. eCollection 2023.

Authors

Yinghui Kong^{1

2}, Ke Zhang^{1

2}, Li Zhang³, Gengshen Wu⁴

Affiliations

¹ Department of Electronics and Communication Engineering, North China Electric Power University, Beijing, China.
² Hebei Key Laboratory of Power Internet of Things Technology, North China Electric Power University, Beijing, China.
³ Department of Computer Science, Royal Holloway, University of London, Egham, United Kingdom.
⁴ Faculty of Data Science, City University of Macau, Macao, Macao SAR, China.

No abstract available

Keywords: age estimation; autistic traits; face recognition; facial attribute; facial caricature generation; facial expression recognition.

Publication types

Editorial

Grants and funding

YK was supported by the Fundamental Research Funds for the Central Universities, Grant/Award Number: 2020YJ006. KZ was supported by the National Natural Science Foundation of China, Grant/Award Numbers: 62076093 and 61871182.