12 citations · 15 across the 2 of their papers we have counts for
5 papers
FuseSeg: LiDAR Point Cloud Segmentation Fusing Multi-Modal Data
Georg Krispel, Michael Opitz, Georg Waltner +2
We introduce a simple yet effective fusion method of LiDAR and RGB data to segment LiDAR point clouds. Utilizing the dense native range representation of a LiDAR sensor and the set…
Deep 2.5D Vehicle Classification with Sparse SfM Depth Prior for Automated Toll Systems
Georg Waltner, Michael Maurer, Thomas Holzmann +5
Automated toll systems rely on proper classification of the passing vehicles. This is especially difficult when the images used for classification only cover parts of the vehicle.…
Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly
Michael Opitz, Georg Waltner, Horst Possegger +1
Learning similarity functions between image pairs with deep neural networks yields highly correlated activations of embeddings. In this work, we show how to improve the robustness…
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…
Indoor Activity Detection and Recognition for Sport Games Analysis
Georg Waltner, Thomas Mauthner, Horst Bischof
Activity recognition in sport is an attractive field for computer vision research. Game, player and team analysis are of great interest and research topics within this field emerge…