2 citations · 2 across the 3 of their papers we have counts for
3 papers
FAST GDRNPP: Improving the Speed of State-of-the-Art 6D Object Pose Estimation
Thomas Pöllabauer, Ashwin Pramod, Volker Knauthe +1
6D object pose estimation involves determining the three-dimensional translation and rotation of an object within a scene and relative to a chosen coordinate system. This problem i…
End-to-End Probabilistic Geometry-Guided Regression for 6DoF Object Pose Estimation
Thomas Pöllabauer, Jiayin Li, Volker Knauthe +2
6D object pose estimation is the problem of identifying the position and orientation of an object relative to a chosen coordinate system, which is a core technology for modern XR a…
An Empirical Study of Uncertainty Estimation Techniques for Detecting Drift in Data Streams
Anton Winter, Nicolas Jourdan, Tristan Wirth +2
In safety-critical domains such as autonomous driving and medical diagnosis, the reliability of machine learning models is crucial. One significant challenge to reliability is conc…