Detection of Face Morphing Attacks by Deep Learning. - Clemens Seibold; Wojciech Samek; Anna Hilsmann; Peter Eisert (IWDW, 2017)

Model-based motion blur estimation for the improvement of motion tracking. - Clemens Seibold; Anna Hilsmann; Peter Eisert (Comput. Vis. Image Underst., 2017)

Reflection Analysis for Face Morphing Attack Detection. - Clemens Seibold; Anna Hilsmann; Peter Eisert (EUSIPCO, 2018)

Accurate and Robust Neural Networks for Security Related Applications Exampled by Face Morphing Attacks. - Clemens Seibold; Wojciech Samek; Anna Hilsmann; Peter Eisert (CoRR, 2018)

Style Your Face Morph and Improve Your Face Morphing Attack Detector. - Clemens Seibold; Anna Hilsmann; Peter Eisert (BIOSIG, 2019)

Dempster-Shafer Theory for Fusing Face Morphing Detectors. - Andrey Makrushin; Christian Kraetzer; Jana Dittmann; Clemens Seibold; Anna Hilsmann; Peter Eisert (EUSIPCO, 2019)

Visual Feature Space Analyses of Face Morphing Detectors. - Clemens Seibold; Anna Hilsmann; Andrey Makrushin; Christian Kraetzer; Tom Neubert; Jana Dittmann; Peter Eisert (WIFS, 2019)

Accurate and robust neural networks for face morphing attack detection. - Clemens Seibold; Wojciech Samek; Anna Hilsmann; Peter Eisert (J. Inf. Secur. Appl., 2020)

Focused LRP: Explainable AI for Face Morphing Attack Detection. - Clemens Seibold; Anna Hilsmann; Peter Eisert (WACV (Workshops), 2021)

Feature Focus: Towards Explainable and Transparent Deep Face Morphing Attack Detectors. - Clemens Seibold; Anna Hilsmann; Peter Eisert (Comput., 2021)

Automated Damage Inspection of Power Transmission Towers from UAV Images. - Aleixo Cambeiro Barreiro; Clemens Seibold; Anna Hilsmann; Peter Eisert (VISIGRAPP (5: VISAPP), 2022)

From Explanations to Segmentation: Using Explainable AI for Image Segmentation. - Clemens Seibold; Johannes Künzel; Anna Hilsmann; Peter Eisert (VISIGRAPP (4: VISAPP), 2022)

Towards Better Morphed Face Images Without Ghosting Artifacts. - Clemens Seibold; Anna Hilsmann; Peter Eisert (VISIGRAPP (3): VISAPP, 2024)