2 papers
cs.CV2026
Mitigating Longitudinal Performance Degradation in Child Face Recognition Using Synthetic Data
Afzal Hossain, Stephanie Schuckers
Longitudinal face recognition in children remains challenging due to rapid and nonlinear facial growth, which causes template drift and increasing verification errors over time. Th…
cs.CV2026
Evaluating Deep Learning-Based Face Recognition for Infants and Toddlers: Impact of Age Across Developmental Stages
Afzal Hossain, Mst Rumana Sumi, Stephanie Schuckers
Face recognition for infants and toddlers presents unique challenges due to rapid facial morphology changes, high inter-class similarity, and limited dataset availability. This stu…