| Latticenet: Fast point cloud segmentation using permutohedral lattices RA Rosu, P Schütt, J Quenzel, S Behnke arXiv preprint arXiv:1912.05905, 2019 | 132 | 2019 |
| Style Vectors for Steering Generative Large Language Model K Konen, S Jentzsch, D Diallo, P Schütt, O Bensch, RE Baff, D Opitz, ... Findings of the Association for Computational Linguistics: EACL 2024, 782--802, 2024 | 68 | 2024 |
| 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 | 49 | 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 | 28 | 2019 |
| 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 | 22 | 2022 |
| LatticeNet: Fast Point Cloud Segmentation Using Permutohedral Lattices. arXiv 2020 RA Rosu, P Schütt, J Quenzel, S Behnke arXiv preprint arXiv:1912.05905, 0 | 16 | |
| 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 |
| Detection of Unknown Substances in Operation Environments Using Multispectral Imagery and Autoencoders P Schütt, J Grzesiak, C Geiß, T Hecking 28th European Conference on Artificial Intelligence, ECAI 2025 413, 5192-5199, 2025 | 2 | 2025 |
| Self-Supervised and Unsupervised Multispectral Anomaly Detection for Unknown Substance and Surface Defect Identification C Beyaz, M Farag, P Schütt, T Hecking, J Grzesiak, C Geiß, R Roscher Northern Lights Deep Learning Conference, 2026 | | 2026 |
| The Effectiveness of Style Vectors for Steering Large Language Models: A Human Evaluation D Diallo, K Dworatzyk, S Jentzsch, P Schütt, S Theis, T Hecking IEEE Access 13, 191443-191457, 2025 | | 2025 |
| Localisation of CBRN hazardous substances in (disaster control) operations: multispectral images support stand-off laser spectroscopic detection C Geiß, J Grzesiak, P Schütt | | 2025 |
| Teleoperierte Anomaliedetektion von Gefahrstoffen durch Verknüpfung von (laser-) optischen Sensortechnologien C Kölbl, J Grzesiak, P Schütt | | 2024 |
| Teleoperierte Erkundung von Krisen-und Gefahrensituationen durch multimodale Verknüpfung von Sensortechnologien C Kölbl, J Grzesiak, F Duschek, B Linseisen, M Durner, P Schütt, K Konen, ... | | 2024 |
| Multisensor Roboter für die Erkundung in Krisenszenarien (MuSeRo) C Kölbl, J Grzesiak, F Duschek, B Linseisen, M Durner, P Schütt, K Konen, ... | | 2024 |
| MUSERO-Teleoperierte Erkundung von Krisen-und Gefahrensituationen durch multimodale Verknüpfung von Sensortechnologien C Kölbl, J Grzesiak, M Durner, K Konen, P Schütt, T Hecking | | 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 BonnVerified email at cs.uni-bonn.de
