3 citations · 8 across the 7 of their papers we have counts for
7 papers
Real-time 6-DoF Pose Estimation by an Event-based Camera using Active LED Markers
Gerald Ebmer, Adam Loch, Minh Nhat Vu +5
Real-time applications for autonomous operations depend largely on fast and robust vision-based localization systems. Since image processing tasks require processing large amounts…
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…
COPE: End-to-end trainable Constant Runtime Object Pose Estimation
Stefan Thalhammer, Timothy Patten, Markus Vincze
State-of-the-art object pose estimation handles multiple instances in a test image by using multi-model formulations: detection as a first stage and then separately trained network…
SporeAgent: Reinforced Scene-level Plausibility for Object Pose Refinement
Dominik Bauer, Timothy Patten, Markus Vincze
Observational noise, inaccurate segmentation and ambiguity due to symmetry and occlusion lead to inaccurate object pose estimates. While depth- and RGB-based pose refinement approa…
Unsupervised Domain Adaptation through Inter-modal Rotation for RGB-D Object Recognition
Mohammad Reza Loghmani, Luca Robbiano, Mirco Planamente +3
Unsupervised Domain Adaptation (DA) exploits the supervision of a label-rich source dataset to make predictions on an unlabeled target dataset by aligning the two data distribution…
EasyLabel: A Semi-Automatic Pixel-wise Object Annotation Tool for Creating Robotic RGB-D Datasets
Markus Suchi, Timothy Patten, David Fischinger +1
Developing robot perception systems for recognizing objects in the real-world requires computer vision algorithms to be carefully scrutinized with respect to the expected operating…