2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 1 cited
ZS6D: Zero-shot 6D Object Pose Estimation using Vision Transformers
Philipp Ausserlechner, David Haberger, Stefan Thalhammer +2
As robotic systems increasingly encounter complex and unconstrained real-world scenarios, there is a demand to recognize diverse objects. The state-of-the-art 6D object pose estima…
cs.CV2023★ 2 cited
Self-supervised Vision Transformers for 3D Pose Estimation of Novel Objects
Stefan Thalhammer, Jean-Baptiste Weibel, Markus Vincze +1
Object pose estimation is important for object manipulation and scene understanding. In order to improve the general applicability of pose estimators, recent research focuses on pr…