2 papers
cs.CV2026
Efficient Prediction of Dense Visual Embeddings via Distillation and RGB-D Transformers
Söhnke Benedikt Fischedick, Daniel Seichter, Benedict Stephan +2
In domestic environments, robots require a comprehensive understanding of their surroundings to interact effectively and intuitively with untrained humans. In this paper, we propos…
cs.CV2025
Including Semantic Information via Word Embeddings for Skeleton-based Action Recognition
Dustin Aganian, Erik Franze, Markus Eisenbach +1
Effective human action recognition is widely used for cobots in Industry 4.0 to assist in assembly tasks. However, conventional skeleton-based methods often lose keypoint semantics…