452 citations · 783 across the 29 of their papers we have counts for
3 papers · 2 filters
TrackAgent: 6D Object Tracking via Reinforcement Learning
Konstantin Röhrl, Dominik Bauer, Timothy Patten +1
Tracking an object's 6D pose, while either the object itself or the observing camera is moving, is important for many robotics and augmented reality applications. While exploiting…
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…
Open Challenges for Monocular Single-shot 6D Object Pose Estimation
Stefan Thalhammer, Peter Hönig, Jean-Baptiste Weibel +1
Object pose estimation is a non-trivial task that enables robotic manipulation, bin picking, augmented reality, and scene understanding, to name a few use cases. Monocular object p…