3 papers
cs.CV2019
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…
cs.CV2018
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.…
cs.CV2018
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…