6 citations · 6 across the 18 of their papers we have counts for
5 papers · 1 filter
RangeSAM: On the Potential of Visual Foundation Models for Range-View represented LiDAR segmentation
Paul Julius Kühn, Duc Anh Nguyen, Arjan Kuijper +1
Point cloud segmentation is central to autonomous driving and 3D scene understanding. While voxel- and point-based methods dominate recent research due to their compatibility with…
Neural Restoration of Greening Defects in Historical Autochrome Photographs Based on Purely Synthetic Data
Saptarshi Neil Sinha, P. Julius Kuehn, Johannes Koppe +2
The preservation of early visual arts, particularly color photographs, is challenged by deterioration caused by aging and improper storage, leading to issues like blurring, scratch…
Semantic Segmentation of Transparent and Opaque Drinking Glasses with the Help of Zero-shot Learning
Annalena Blänsdorf, Tristan Wirth, Arne Rak +3
Segmenting transparent structures in images is challenging since they are difficult to distinguish from the background. Common examples are drinking glasses, which are a ubiquitous…
Improving 6D Object Pose Estimation of metallic Household and Industry Objects
Thomas Pöllabauer, Michael Gasser, Tristan Wirth +3
6D object pose estimation suffers from reduced accuracy when applied to metallic objects. We set out to improve the state-of-the-art by addressing challenges such as reflections an…
EfficientPose 6D: Scalable and Efficient 6D Object Pose Estimation
Zixuan Fang, Thomas Pöllabauer, Tristan Wirth +3
In industrial applications requiring real-time feedback, such as quality control and robotic manipulation, the demand for high-speed and accurate pose estimation remains critical.…