NEST–network enabled surveillance and tracking A Bauer, S Eckel, T Emter, A Laubenheimer, E Monari, J Mossgraber, ... Future Security 3rd Security Research Conference Karlsruhe, 2008 | 27 | 2008 |
Joint probabilistic people detection in overlapping depth images J Wetzel, A Laubenheimer, M Heizmann IEEE access 8, 28349-28359, 2020 | 17 | 2020 |
Towards global people detection and tracking using multiple depth sensors J Wetzel, S Zeitvogel, A Laubenheimer, M Heizmann 2018 International Symposium on Electronics and Telecommunications (ISETC), 1-4, 2018 | 7 | 2018 |
Towards end-to-end 3D human avatar shape reconstruction from 4D data S Zeitvogel, A Laubenheimer 2018 International Symposium on Electronics and Telecommunications (ISETC), 1-4, 2018 | 5 | 2018 |
Automatische Registrierung adaptiver Modelle zur Typerkennung technischer Objekte A Laubenheimer Univ.-Verlag Karlsruhe, 2004 | 4 | 2004 |
Towards Adaptive Models for Classification of Technical Objects. A Laubenheimer, N Link VMV, 319-327, 2003 | 4 | 2003 |
Evaluation of machine learning algorithms for smurf detection R Hippe, J Dornheim, S Zeitvogel, A Laubenheimer CERC2017, 65, 2017 | 3 | 2017 |
Fitting a deformable 3D human body model to depth images using convolutional neural networks S Zeitvogel, A Laubenheimer 2016 12th IEEE International Symposium on Electronics and Telecommunications …, 2016 | 3 | 2016 |
3D pose and shape estimation with deformable models in lifelike scenes A Laubenheimer, S Richter, K Kroschel 2007 7th IEEE-RAS International Conference on Humanoid Robots, 159-166, 2007 | 3 | 2007 |
AMROS-an Autonomous Mobile Robotic System for Multisensor Surveillance of Real Estates T Emter, E Monari, C Frey, T Müller, HB Kuntze, A Laubenheimer, ... Proc. Future Security, 2nd Security Conference, 2007 | 3 | 2007 |
Joint optimization for multi-person shape models from markerless 3d-scans S Zeitvogel, J Dornheim, A Laubenheimer Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 2 | 2020 |
Efficient Face Tracking and Detection in Video: Based on Template Matching AA Mohammed, A Laubenheimer, YA Salih Proceedings of the International Conference on Image Processing, Computer …, 2012 | 2 | 2012 |
Opto-acoustical Scene Analysis for a Humanoid Robot A Swerdlow, T Machmer, K Kroschel, A Laubenheimer, S Richter Computer science meets automation: 52. IWK, Internationales …, 2007 | 2 | 2007 |
RGBD Infant Head Reconstruction for Cranial Vault Asymmetry Estimation S Zeitvogel, C Wernet, J Wetzel, A Laubenheimer, K Stoevesandt IEEE Access 10, 36208-36219, 2022 | 1 | 2022 |
Tackling Key Challenges of AI Development–Insights from an Industry-Academia Collaboration A Melde, M Madan, P Gavrikov, D Hoof, A Laubenheimer, J Keuper, ... The Upper-Rhine Artificial Intelligence Symposium UR-AI 2022: AI …, 2022 | 1 | 2022 |
An architecture to quantify the risk of ai-models A Melde, A Laubenheimer, N Link, C Schauer Upper-Rhine Artificial Intelligence Symposium UR-AI, 84-93, 2021 | 1 | 2021 |
People detection in a depth sensor network via multi-view CNNs trained on synthetic data J Wetzel, S Zeitvogel, A Laubenheimer, M Heizmann 2020 International Symposium on Electronics and Telecommunications (ISETC), 1-4, 2020 | 1 | 2020 |
Modular Novelty Detection System for Driving Scenarios. M Rees, M Senn, PP Brahma, A Laubenheimer CERC 2348, 167-172, 2019 | 1 | 2019 |
Scene-Adaptive Optimization Scheme for Depth Sensor Networks. J Wetzel, S Zeitvogel, A Laubenheimer, M Heizmann CERC, 111-116, 2019 | 1 | 2019 |
3d human surface registration using subdivision surfaces S Zeitvogel, A Laubenheimer CERC2017, 69, 2017 | 1 | 2017 |