452 citations · 504 across the 14 of their papers we have counts for
3 papers · 1 filter
PyraPose: Feature Pyramids for Fast and Accurate Object Pose Estimation under Domain Shift
Stefan Thalhammer, Markus Leitner, Timothy Patten +1
Object pose estimation enables robots to understand and interact with their environments. Training with synthetic data is necessary in order to adapt to novel situations. Unfortuna…
Neural Object Learning for 6D Pose Estimation Using a Few Cluttered Images
Kiru Park, Timothy Patten, Markus Vincze
Recent methods for 6D pose estimation of objects assume either textured 3D models or real images that cover the entire range of target poses. However, it is difficult to obtain tex…
DGCM-Net: Dense Geometrical Correspondence Matching Network for Incremental Experience-based Robotic Grasping
Timothy Patten, Kiru Park, Markus Vincze
This article presents a method for grasping novel objects by learning from experience. Successful attempts are remembered and then used to guide future grasps such that more reliab…