| Detection of face morphing attacks by deep learning C Seibold, W Samek, A Hilsmann, P Eisert Digital Forensics and Watermarking: 16th International Workshop, IWDW 2017 …, 2017 | 131 | 2017 |
| Accurate and robust neural networks for face morphing attack detection C Seibold, W Samek, A Hilsmann, P Eisert Journal of Information Security and applications 53, 102526, 2020 | 50 | 2020 |
| Reflection analysis for face morphing attack detection C Seibold, A Hilsmann, P Eisert 2018 26th European Signal Processing Conference (EUSIPCO), 1022-1026, 2018 | 48 | 2018 |
| Accurate and robust neural networks for security related applications exampled by face morphing attacks C Seibold, W Samek, A Hilsmann, P Eisert arXiv preprint arXiv:1806.04265, 2018 | 43 | 2018 |
| Model-based motion blur estimation for the improvement of motion tracking C Seibold, A Hilsmann, P Eisert Computer Vision and Image Understanding 160, 45-56, 2017 | 28 | 2017 |
| Style your face morph and improve your face morphing attack detector C Seibold, A Hilsmann, P Eisert 2019 International Conference of the Biometrics Special Interest Group …, 2019 | 23 | 2019 |
| Focused lrp: Explainable ai for face morphing attack detection C Seibold, A Hilsmann, P Eisert Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 16 | 2021 |
| Dempster-shafer theory for fusing face morphing detectors A Makrushin, C Kraetzer, J Dittmann, C Seibold, A Hilsmann, P Eisert 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019 | 16 | 2019 |
| Feature focus: Towards explainable and transparent deep face morphing attack detectors C Seibold, A Hilsmann, P Eisert Computers 10 (9), 117, 2021 | 5 | 2021 |
| Visual feature space analyses of face morphing detectors C Seibold, A Hilsmann, A Makrushin, C Kraetzer, T Neubert, J Dittmann, ... 2019 IEEE International Workshop on Information Forensics and Security (WIFS …, 2019 | 5 | 2019 |
| Automated damage inspection of power transmission towers from UAV images AC Barreiro, C Seibold, A Hilsmann, P Eisert Proc. Int. Conf. on Computer Vision Theory and Applications (VISAPP), 2022 | 4 | 2022 |
| From explanations to segmentation: using explainable AI for image segmentation C Seibold, J Künzel, A Hilsmann, P Eisert Proc. Int. Conf. on Computer Vision Theory and Applications (VISAPP), 2022 | 3 | 2022 |
| Towards Better Morphed Face Images without Ghosting Artifacts C Seibold, A Hilsmann, P Eisert arXiv preprint arXiv:2312.08111, 2023 | | 2023 |
| Vorrichtung zum Personalisieren eines Identitätsdokumentes einer Person A Wolf, U Rabeler, J Dittmann, C Krätzer, P Eisert, C Seibold, RV Garcia, ... | | 2020 |
| The Evolution of Neural Processes within the Scope of Multimodal Network Analysis G Ivanova, T Handel, C Seibold, H Perkunder, M Schreiber IFAC-PapersOnLine 48 (20), 465-468, 2015 | | 2015 |
| Exploration of Cognitive Processes using Multimodal Data Analyses G Ivanova, T Handel, C Seibold, H Perkunder, M Schreiber, D Miehe BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK 59, S209-S209, 2014 | | 2014 |
Peter EisertProfessor Visual Computing, Humboldt University Berlin, Fraunhofer HHIVerified email at informatik.hu-berlin.de
