2 citations · 2 across the 9 of their papers we have counts for
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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.…
FAST GDRNPP: Improving the Speed of State-of-the-Art 6D Object Pose Estimation
Thomas Pöllabauer, Ashwin Pramod, Volker Knauthe +1
6D object pose estimation involves determining the three-dimensional translation and rotation of an object within a scene and relative to a chosen coordinate system. This problem i…
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…
Transparency Distortion Robustness for SOTA Image Segmentation Tasks
Volker Knauthe, Arne Rak, Tristan Wirth +4
Semantic Image Segmentation facilitates a multitude of real-world applications ranging from autonomous driving over industrial process supervision to vision aids for human beings.…
Influence of Water Droplet Contamination for Transparency Segmentation
Volker Knauthe, Paul Weitz, Thomas Pöllabauer +4
Computer vision techniques are on the rise for industrial applications, like process supervision and autonomous agents, e.g., in the healthcare domain and dangerous environments. W…
Fast Training Data Acquisition for Object Detection and Segmentation using Black Screen Luminance Keying
Thomas Pöllabauer, Volker Knauthe, André Boller +2
Deep Neural Networks (DNNs) require large amounts of annotated training data for a good performance. Often this data is generated using manual labeling (error-prone and time-consum…
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…