Clemens Seibold

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2022

From Explanations to Segmentation: Using Explainable AI for Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Automated Damage Inspection of Power Transmission Towers from UAV Images.

[BibT_eX]

[DOI]

Aleixo Cambeiro Barreiro

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

2021

Feature Focus: Towards Explainable and Transparent Deep Face Morphing Attack Detectors.

[BibT_eX]

[DOI]

Comput., 2021

Focused LRP: Explainable AI for Face Morphing Attack Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision Workshops, 2021

2020

Accurate and robust neural networks for face morphing attack detection.

[BibT_eX]

[DOI]

J. Inf. Secur. Appl., 2020

2019

Visual Feature Space Analyses of Face Morphing Detectors.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Workshop on Information Forensics and Security, 2019

Dempster-Shafer Theory for Fusing Face Morphing Detectors.

[BibT_eX]

[DOI]

Proceedings of the 27th European Signal Processing Conference, 2019

Style Your Face Morph and Improve Your Face Morphing Attack Detector.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference of the Biometrics Special Interest Group, 2019

2018

Accurate and Robust Neural Networks for Security Related Applications Exampled by Face Morphing Attacks.

[BibT_eX]

[DOI]

CoRR, 2018

Reflection Analysis for Face Morphing Attack Detection.

[BibT_eX]

[DOI]

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Model-based motion blur estimation for the improvement of motion tracking.

[BibT_eX]

[DOI]