This topic create multi-modal machine learning
systyems that can efficiently, objectively, accurately and automatically
identify image-level human identities (i.e., face recognition), facial
expressions, emotions and even multiple facial muscle activations (i.e., Action Units).
CONFERENCE ARTICLE
CemiFace: Center-based Semi-hard Synthetic Face
Generation for Face Recognition.
27 Sep 2024NeurIPS 2024
Zhonglin Sun, Siyang Song*,
Ioannis Patras, Georgios Tzimiropoulos