2 citations · 3 across the 5 of their papers we have counts for
5 papers
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…
Fusing Hand and Body Skeletons for Human Action Recognition in Assembly
Dustin Aganian, Mona Köhler, Benedict Stephan +2
As collaborative robots (cobots) continue to gain popularity in industrial manufacturing, effective human-robot collaboration becomes crucial. Cobots should be able to recognize hu…
How Object Information Improves Skeleton-based Human Action Recognition in Assembly Tasks
Dustin Aganian, Mona Köhler, Sebastian Baake +2
As the use of collaborative robots (cobots) in industrial manufacturing continues to grow, human action recognition for effective human-robot collaboration becomes increasingly imp…
ATTACH Dataset: Annotated Two-Handed Assembly Actions for Human Action Understanding
Dustin Aganian, Benedict Stephan, Markus Eisenbach +2
With the emergence of collaborative robots (cobots), human-robot collaboration in industrial manufacturing is coming into focus. For a cobot to act autonomously and as an assistant…
A Little Bit Attention Is All You Need for Person Re-Identification
Markus Eisenbach, Jannik Lübberstedt, Dustin Aganian +1
Person re-identification plays a key role in applications where a mobile robot needs to track its users over a long period of time, even if they are partially unobserved for some t…