| Latticenet: Fast point cloud segmentation using permutohedral lattices RA Rosu, P Schütt, J Quenzel, S Behnke arXiv preprint arXiv:1912.05905, 2019 | 107 | 2019 |
| LatticeNet: fast spatio-temporal point cloud segmentation using permutohedral lattices RA Rosu, P Schütt, J Quenzel, S Behnke Autonomous Robots 46 (1), 45-60, 2022 | 28 | 2022 |
| Semantic Interaction in Augmented Reality Environments for Microsoft HoloLens P Schütt, M Schwarz, S Behnke 2019 European Conference on Mobile Robots (ECMR), 1-6, 2019 | 21 | 2019 |
| LatticeNet: Fast Point Cloud Segmentation Using Permutohedral Lattices. arXiv 2020 RA Rosu, P Schütt, J Quenzel, S Behnke arXiv preprint arXiv:1912.05905, 0 | 14 | |
| Abstract Flow for Temporal Semantic Segmentation on the Permutohedral Lattice P Schütt, RA Rosu, S Behnke 2022 International Conference on Robotics and Automation (ICRA), 5139-5145, 2022 | 8 | 2022 |
| LatticeNet: Fast Point Cloud Segmentation Using Permutohedral Lattices R Alexandru Rosu, P Schütt, J Quenzel, S Behnke arXiv e-prints, arXiv: 1912.05905, 2019 | 5 | 2019 |
| Style Vectors for Steering Generative Large Language Model K Konen, S Jentzsch, D Diallo, P Schütt, O Bensch, RE Baff, D Opitz, ... arXiv preprint arXiv:2402.01618, 2024 | 1 | 2024 |
| LatticeNet: Fast Spatio-Temporal Point Cloud Segmentation Using Permutohedral Lattices R Alexandru Rosu, P Schütt, J Quenzel, S Behnke arXiv e-prints, arXiv: 2108.03917, 2021 | | 2021 |
Sven BehnkeProfessor for Autonomous Intelligent Systems, Computer Science Institute, University of BonnGeverifieerd e-mailadres voor cs.uni-bonn.de
