| Streampipes: solving the challenge with semantic stream processing pipelines D Riemer, F Kaulfersch, R Hutmacher, L Stojanovic Proceedings of the 9th ACM international conference on distributed event …, 2015 | 17 | 2015 |
| Calibrating uncertainty models for steering angle estimation C Hubschneider, R Hutmacher, JM Zöllner 2019 IEEE intelligent transportation systems conference (ITSC), 1511-1518, 2019 | 13 | 2019 |
| Does enhanced shape bias improve neural network robustness to common corruptions? CK Mummadi, R Subramaniam, R Hutmacher, J Vitay, V Fischer, ... arXiv preprint arXiv:2104.09789, 2021 | 10 | 2021 |
| Test-time adaptation to distribution shift by confidence maximization and input transformation CK Mummadi, R Hutmacher, K Rambach, E Levinkov, T Brox, JH Metzen arXiv preprint arXiv:2106.14999, 2021 | 9 | 2021 |
| Meta adversarial training against universal patches JH Metzen, N Finnie, R Hutmacher arXiv preprint arXiv:2101.11453, 2021 | 3 | 2021 |
| Measuring the sensitivity of neural network image classifiers against adversarial attacks R Hutmacher, JH Metzen, NY Finnie US Patent App. 17/187,255, 2021 | 1 | 2021 |
| Scene recognition for mobile robots by relational object search using next-best-view estimates from hierarchical implicit shape models P Meißner, R Schleicher, R Hutmacher, SR Schmidt-Rohr, R Dillmann 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 1 | 2016 |
| Data-based updating of the training of classifier networks CK Mummadi, JH Metzen, K Rambach, R Hutmacher US Patent App. 17/479,161, 2022 | | 2022 |
| Device and method for training a classifier and assessing the robustness of a classifier R Hutmacher, JH Metzen, NY Finnie US Patent App. 17/228,126, 2021 | | 2021 |
| Device and method for training a classifier R Hutmacher, JH Metzen, NY Finnie US Patent App. 17/225,484, 2021 | | 2021 |
| Meta Adversarial Training against Universal Patches J Hendrik Metzen, N Finnie, R Hutmacher arXiv e-prints, arXiv: 2101.11453, 2021 | | 2021 |
