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ORCIDSebastian Dorn
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Books and Theses
- 2022
[b1]Sebastian Dorn:
Assembly sequence planning for complex real-world CAD data. Mainz University, Germany, 2022
Conference and Workshop Papers
- 2024
- [c7]Marion Neumeier, Sebastian Dorn, Michael Botsch, Wolfgang Utschick:
Reliable Trajectory Prediction and Uncertainty Quantification with Conditioned Diffusion Models. CVPR Workshops 2024: 3461-3470 - 2023
- [c6]Marion Neumeier, Sebastian Dorn, Michael Botsch, Wolfgang Utschick:
Prediction and Interpretation of Vehicle Trajectories in the Graph Spectral Domain. ITSC 2023: 1172-1179 - [c5]Marion Neumeier, Andreas Tollkühn, Sebastian Dorn, Michael Botsch, Wolfgang Utschick
:
Optimization and Interpretability of Graph Attention Networks for Small Sparse Graph Structures in Automotive Applications. IV 2023: 1-8 - 2022
- [c4]Sebastian Dorn, Nicola Wolpert, Elmar Schömer:
An Assembly Sequence Planning Framework for Complex Data using General Voronoi Diagram. ICRA 2022: 9896-9902 - 2021
- [c3]Sebastian Dorn, Nicola Wolpert, Elmar Schömer:
Expansive Voronoi Tree: A Motion Planner for Assembly Sequence Planning. ICRA 2021: 7880-7886 - 2020
- [c2]Yunlei Tang, Sebastian Dorn, Chiragkumar Savani:
Center3D: Center-Based Monocular 3D Object Detection with Joint Depth Understanding. GCPR 2020: 289-302 - [c1]Sebastian Dorn, Nicola Wolpert, Elmar Schömer:
Voxel-based General Voronoi Diagram for Complex Data with Application on Motion Planning. ICRA 2020: 137-143
Informal and Other Publications
- 2024
- [i9]Marion Neumeier, Sebastian Dorn, Michael Botsch, Wolfgang Utschick:
Reliable Trajectory Prediction and Uncertainty Quantification with Conditioned Diffusion Models. CoRR abs/2405.14384 (2024) - 2023
- [i8]Marion Neumeier, Andreas Tollkühn, Sebastian Dorn, Michael Botsch, Wolfgang Utschick:
Gradient Derivation for Learnable Parameters in Graph Attention Networks. CoRR abs/2304.10939 (2023) - [i7]Marion Neumeier, Andreas Tollkühn, Sebastian Dorn, Michael Botsch, Wolfgang Utschick:
Optimization and Interpretability of Graph Attention Networks for Small Sparse Graph Structures in Automotive Applications. CoRR abs/2305.16196 (2023) - [i6]Marion Neumeier, Sebastian Dorn, Michael Botsch, Wolfgang Utschick:
Prediction and Interpretation of Vehicle Trajectories in the Graph Spectral Domain. CoRR abs/2309.16702 (2023) - 2022
- [i5]Claudio Canella, Sebastian Dorn, Daniel Gruss, Michael Schwarz:
SFIP: Coarse-Grained Syscall-Flow-Integrity Protection in Modern Systems. CoRR abs/2202.13716 (2022) - 2021
- [i4]Philipp Joppich, Sebastian Dorn, Oliver De Candido, Wolfgang Utschick, Jakob Knollmüller:
Classification and Uncertainty Quantification of Corrupted Data using Semi-Supervised Autoencoders. CoRR abs/2105.13393 (2021) - 2020
- [i3]Jakob Geyer, Yohannes Kassahun, Mentar Mahmudi, Xavier Ricou, Rupesh Durgesh, Andrew S. Chung, Lorenz Hauswald, Viet Hoang Pham, Maximilian Mühlegg, Sebastian Dorn, Tiffany Fernandez, Martin Jänicke, Sudesh Mirashi, Chiragkumar Savani, Martin Sturm, Oleksandr Vorobiov, Martin Oelker, Sebastian Garreis, Peter Schuberth:
A2D2: Audi Autonomous Driving Dataset. CoRR abs/2004.06320 (2020) - [i2]Yunlei Tang, Sebastian Dorn, Chiragkumar Savani:
Center3D: Center-based Monocular 3D Object Detection with Joint Depth Understanding. CoRR abs/2005.13423 (2020) - 2014
- [i1]Sebastian Dorn, Torsten A. Enßlin, Maksim Greiner, Marco Selig, Vanessa Böhm:
Signal inference with unknown response: calibration uncertainty renormalized estimator. CoRR abs/1410.6289 (2014)
Coauthor Index
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