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Clemens Seibold
Clemens Seibold
Fraunhofer Heinrich-Hertz-Institute HHI, Berlin, Germany
Verified email at hhi.fraunhofer.de
Title
Cited by
Cited by
Year
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
1442017
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
572020
Reflection analysis for face morphing attack detection
C Seibold, A Hilsmann, P Eisert
2018 26th European Signal Processing Conference (EUSIPCO), 1022-1026, 2018
512018
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
442018
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
292017
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
282019
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
202021
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
192019
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
52022
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
52022
Feature focus: Towards explainable and transparent deep face morphing attack detectors
C Seibold, A Hilsmann, P Eisert
Computers 10 (9), 117, 2021
52021
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
52019
Towards Better Morphed Face Images without Ghosting Artifacts
C Seibold, A Hilsmann, P Eisert
Proc. Int. Conf. on Computer Vision Theory and Applications (VISAPP), 2024
2024
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
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