4 papers
Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models
Andy Catruna, Emilian Radoi
While the internal mechanisms of autoregressive (AR) transformers have been studied extensively, much less is known about diffusion language models (DLMs), an emerging alternative…
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…