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Emilian Radoi

2 accepted papers

2026

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

AAAI 2026technical

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

Cited by 0SourcePDFScholar
2025

The Strawberry Problem: Emergence of Character-level Understanding in Tokenized Language Models

EMNLP 2025

Despite their remarkable progress across diverse domains, Large Language Models (LLMs) consistently fail at simple character-level tasks, such as counting letters in words, due to a fundamental limitation: tokenization. In this work, we frame this limitation as a problem of low mutual information an