1 citations · 1 across the 3 of their papers we have counts for
4 papers
Abstract Flow for Temporal Semantic Segmentation on the Permutohedral Lattice
Peer Schütt, Radu Alexandru Rosu, Sven Behnke
Semantic segmentation is a core ability required by autonomous agents, as being able to distinguish which parts of the scene belong to which object class is crucial for navigation…
Semantic Interaction in Augmented Reality Environments for Microsoft HoloLens
Peer Schüett, Max Schwarz, Sven Behnke
Augmented Reality is a promising technique for human-machine interaction. Especially in robotics, which always considers systems in their environment, it is highly beneficial to di…
LatticeNet: Fast Spatio-Temporal Point Cloud Segmentation Using Permutohedral Lattices
Radu Alexandru Rosu, Peer Schütt, Jan Quenzel +1
Deep convolutional neural networks (CNNs) have shown outstanding performance in the task of semantically segmenting images. Applying the same methods on 3D data still poses challen…
LatticeNet: Fast Point Cloud Segmentation Using Permutohedral Lattices
Radu Alexandru Rosu, Peer Schütt, Jan Quenzel +1
Deep convolutional neural networks (CNNs) have shown outstanding performance in the task of semantically segmenting images. However, applying the same methods on 3D data still pose…