Mohammad Loni

LS-HAR: Language Supervised Human Action Recognition with Salient Fusion, Construction Sites as a Use-Case

Detecting human actions is a crucial task for autonomous robots and vehicles, often requiring the integration of various data modalities for improved accuracy. In this study, we introduce a novel approach to Human Action Recognition (HAR) using language supervision named LS-HAR based on skeleton and