Andy Eduard Catruna

On Model and Data Scaling for Skeleton-based Self-Supervised Gait Recognition

Gait recognition from video streams is a challenging problem in computer vision biometrics due to the subtle differences between gaits and numerous confounding factors. Recent advancements in self-supervised pretraining have led to the development of robust gait recognition models that are invariant