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cs.CV2024
LS-HAR: Language Supervised Human Action Recognition with Salient Fusion, Construction Sites as a Use-Case
Mohammad Mahdavian, Mohammad Loni, Ted Samuelsson +1
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 in…
cs.CV2024
ConstScene: Dataset and Model for Advancing Robust Semantic Segmentation in Construction Environments
Maghsood Salimi, Mohammad Loni, Sara Afshar +2
The increasing demand for autonomous machines in construction environments necessitates the development of robust object detection algorithms that can perform effectively across va…