6 citations · 6 across the 18 of their papers we have counts for
5 papers · 2 filters
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…