Instead of feeding the AI system with textured images, the researchers designed a curvature-fused graph attention network, or ...
Abstract: Dynamic facial expression recognition (FER) in the wild remains challenging due to factors such as occlusions, motion blur, head pose variations, and highly imbalanced emotion classes (e.g., ...
Abstract: FER, or facial emotion recognition, is a core area in computer vision, whereby emotions are recognized and classified from facial expressions. Its applications lie in marketing, social ...
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