activity
20232025
most citedYCB-Ev 1.1: Event-vision dataset for 6DoF object pose estimation

2 citations · 2 across the 9 of their papers we have counts for

collaborators

10 papers

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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.…

cs.CV2024

YCB-LUMA: YCB Object Dataset with Luminance Keying for Object Localization

Thomas Pöllabauer

Localizing target objects in images is an important task in computer vision. Often it is the first step towards solving a variety of applications in autonomous driving, maintenance…

cs.CV2024

End-to-End Probabilistic Geometry-Guided Regression for 6DoF Object Pose Estimation

Thomas Pöllabauer, Jiayin Li, Volker Knauthe +2

6D object pose estimation is the problem of identifying the position and orientation of an object relative to a chosen coordinate system, which is a core technology for modern XR a…

cs.CV2024

One-to-many Reconstruction of 3D Geometry of cultural Artifacts using a synthetically trained Generative Model

Thomas Pöllabauer, Julius Kühn, Jiayi Li +1

Estimating the 3D shape of an object using a single image is a difficult problem. Modern approaches achieve good results for general objects, based on real photographs, but worse r…

cs.CV2024

A Concept for Reconstructing Stucco Statues from historic Sketches using synthetic Data only

Thomas Pöllabauer, Julius Kühn

In medieval times, stuccoworkers used a red color, called sinopia, to first create a sketch of the to-be-made statue on the wall. Today, many of these statues are destroyed, but us…

cs.CV2024

Detection and Pose Estimation of flat, Texture-less Industry Objects on HoloLens using synthetic Training

Thomas Pöllabauer, Fabian Rücker, Andreas Franek +1

Current state-of-the-art 6d pose estimation is too compute intensive to be deployed on edge devices, such as Microsoft HoloLens (2) or Apple iPad, both used for an increasing numbe…

cs.CV2024

Extending 6D Object Pose Estimators for Stereo Vision

Thomas Pöllabauer, Jan Emrich, Volker Knauthe +1

Estimating the 6D pose of objects accurately, quickly, and robustly remains a difficult task. However, recent methods for directly regressing poses from RGB images using dense feat…

cs.CV2023★ 2 cited

YCB-Ev 1.1: Event-vision dataset for 6DoF object pose estimation

Pavel Rojtberg, Thomas Pöllabauer

Our work introduces the YCB-Ev dataset, which contains synchronized RGB-D frames and event data that enables evaluating 6DoF object pose estimation algorithms using these modalitie…