5 papers · 1 filter
MoME: Estimating Psychological Traits from Gait with Multi-Stage Mixture of Movement Experts
Andy CÇtrunÇ, Adrian Cosma, Emilian RÇdoi
Gait encodes rich biometric and behavioural information, yet leveraging the manner of walking to infer psychological traits remains a challenging and underexplored problem. We intr…
Database-Agnostic Gait Enrollment using SetTransformers
Nicoleta Basoc, Adrian Cosma, Andy CÇtrunÇ +1
Gait recognition has emerged as a powerful tool for unobtrusive and long-range identity analysis, with growing relevance in surveillance and monitoring applications. Although recen…
On Model and Data Scaling for Skeleton-based Self-Supervised Gait Recognition
Adrian Cosma, Andy CÇtrunÇ, Emilian RÇdoi
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 adva…
Aligning Actions and Walking to LLM-Generated Textual Descriptions
Radu Chivereanu, Adrian Cosma, Andy Catruna +2
Large Language Models (LLMs) have demonstrated remarkable capabilities in various domains, including data augmentation and synthetic data generation. This work explores the use of…
Gait Recognition from Highly Compressed Videos
Andrei Niculae, Andy Catruna, Adrian Cosma +2
Surveillance footage represents a valuable resource and opportunities for conducting gait analysis. However, the typical low quality and high noise levels in such footage can sever…