13 citations · 36 across the 5 of their papers we have counts for
5 papers · 1 filter
MURAUER: Mapping Unlabeled Real Data for Label AUstERity
Georg Poier, Michael Opitz, David Schinagl +1
Data labeling for learning 3D hand pose estimation models is a huge effort. Readily available, accurately labeled synthetic data has the potential to reduce the effort. However, to…
Learning Pose Specific Representations by Predicting Different Views
Georg Poier, David Schinagl, Horst Bischof
The labeled data required to learn pose estimation for articulated objects is difficult to provide in the desired quantity, realism, density, and accuracy. To address this issue, w…
PetroSurf3D - A Dataset for high-resolution 3D Surface Segmentation
Georg Poier, Markus Seidl, Matthias Zeppelzauer +5
The development of powerful 3D scanning hardware and reconstruction algorithms has strongly promoted the generation of 3D surface reconstructions in different domains. An area of s…
Grid Loss: Detecting Occluded Faces
Michael Opitz, Georg Waltner, Georg Poier +2
Detection of partially occluded objects is a challenging computer vision problem. Standard Convolutional Neural Network (CNN) detectors fail if parts of the detection window are oc…
Hybrid One-Shot 3D Hand Pose Estimation by Exploiting Uncertainties
Georg Poier, Konstantinos Roditakis, Samuel Schulter +3
Model-based approaches to 3D hand tracking have been shown to perform well in a wide range of scenarios. However, they require initialisation and cannot recover easily from trackin…