| A comparison of deep saliency map generators on multispectral data in object detection J Bayer, D Münch, M Arens Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies V …, 2021 | 2 | 2021 |
| Deep Saliency Map Generators for Multispectral Video Classification J Bayer, D Münch, M Arens 2022 26th International Conference on Pattern Recognition (ICPR), 3757-3764, 2022 | 1 | 2022 |
| Image-Based Out-of-Distribution-Detector Principles on Graph-Based Input Data in Human Action Recognition J Bayer, D Münch, M Arens Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021 | 1 | 2021 |
| Utilizing dataset affinity prediction in object detection to assess training data S Becker, J Bayer, R Hug, W Hübner, M Arens arXiv preprint arXiv:2311.09768, 2023 | | 2023 |
| Eigenpatches—Adversarial Patches from Principal Components J Bayer, S Becker, D Münch, M Arens International Symposium on Visual Computing, 274-284, 2023 | | 2023 |
| APMD: Adversarial Pixel Masking Derivative for multispectral object detectors J Bayer, D Münch, M Arens Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies …, 2022 | | 2022 |
| Companion Paper: Deep Saliency Map Generators for Multispectral Video Classification J Bayer, D Münch, M Arens International Workshop on Reproducible Research in Pattern Recognition, 51-56, 2022 | | 2022 |
| Image-based OoD-Detector Principles on Graph-based Input Data in Human Action Recognition J Bayer, D Münch, M Arens arXiv preprint arXiv:2003.01719, 2020 | | 2020 |
