2 citations · 5 across the 6 of their papers we have counts for
6 papers
Online Out-of-Domain Detection for Automated Driving
Timo Sämann, Horst-Michael Groß
Ensuring safety in automated driving is a major challenge for the automotive industry. Special attention is paid to artificial intelligence, in particular to Deep Neural Networks (…
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…
Improving Predictive Performance and Calibration by Weight Fusion in Semantic Segmentation
Timo Sämann, Ahmed Mostafa Hammam, Andrei Bursuc +2
Averaging predictions of a deep ensemble of networks is apopular and effective method to improve predictive performance andcalibration in various benchmarks and Kaggle competitions…