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 | 32 | 2021 |
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 | 26 | 2021 |
Calibrating uncertainty models for steering angle estimation C Hubschneider, R Hutmacher, JM Zöllner 2019 IEEE intelligent transportation systems conference (ITSC), 1511-1518, 2019 | 19 | 2019 |
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 | 18 | 2015 |
Meta adversarial training against universal patches JH Metzen, N Finnie, R Hutmacher arXiv preprint arXiv:2101.11453, 2021 | 9 | 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 | 3 | 2016 |
Identification of Systematic Errors of Image Classifiers on Rare Subgroups JH Metzen, R Hutmacher, NG Hua, V Boreiko, D Zhang arXiv preprint arXiv:2303.05072, 2023 | 2 | 2023 |
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 |
Anomaly-Aware Semantic Segmentation via Style-Aligned OoD Augmentation D Zhang, K Sakmann, W Beluch, R Hutmacher, Y Li arXiv preprint arXiv:2308.09965, 2023 | | 2023 |
Device and method for determining a semantic segmentation and/or an instance segmentation of an image CK Mummadi, JH Metzen, R Hutmacher US Patent App. 17/894,358, 2023 | | 2023 |
Identification of Systematic Errors of Image Classifiers on Rare Subgroups J Hendrik Metzen, R Hutmacher, NG Hua, V Boreiko, D Zhang arXiv e-prints, arXiv: 2303.05072, 2023 | | 2023 |
Device and method to adapt a pretrained machine learning system to target data that has different distribution than the training data without the necessity of human annotations … CK Mummadi, E Levinkov, JH Metzen, K Rambach, R Hutmacher US Patent App. 17/747,361, 2022 | | 2022 |
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 |