212 citations
- Technische Universität DarmstadtDE16 papers
- Darmstadt University of Applied SciencesDE4 papers
- Fraunhofer-GesellschaftDE4 papers
- Norwegian University of Science and TechnologyNO3 papers
- Saarland UniversityDE3 papers
- University of LjubljanaSI3 papers
- Changchun Institute of Optics, Fine Mechanics and PhysicsCN2 papers
- Fraunhofer Institute for Secure Information TechnologyDE2 papers
- INESC TECPT2 papers
- Max Planck Institute for InformaticsDE2 papers
- Universidad Autónoma de MadridES2 papers
- University of Arkansas at Little RockUS2 papers
44 papers
Learning Steadily: Accumulating Relative Point Margin Scores for Face Image Quality Assessment
Guray Ozgur, Tahar Chettaoui, Eduarda Caldeira +4
Face Image Quality Assessment determines the suitability of captured face images for automated face recognition (FR), a critical capability for reliable biometric systems. Existing…
Dynamic Tree Colors: Adaptive Discriminable Hierarchies with Minimum Instability
Tobias Mertz, Steven Lamarr Reynolds, Jörn Kohlhammer
Hierarchical color maps can support users in the analysis of hierarchical data. For large hierarchies, dynamic color maps can improve discriminability upon user interactions, but t…
MADPromptS: Unlocking Zero-Shot Morphing Attack Detection with Multiple Prompt Aggregation
Eduarda Caldeira, Fadi Boutros, Naser Damer
Face Morphing Attack Detection (MAD) is a critical challenge in face recognition security, where attackers can fool systems by interpolating the identity information of two or more…
Exploring Quantum Annealing for Coarse-Grained Protein Folding
Timon Scheiber, Matthias Heller, Andreas Giebel
We explore the potential application of quantum annealing to address the protein structure problem. To this end, we compare several proposed ab initio protein folding models for qu…
ID-Booth: Identity-consistent Face Generation with Diffusion Models
Darian Tomašević, Fadi Boutros, Chenhao Lin +3
Recent advances in generative modeling have enabled the generation of high-quality synthetic data that is applicable in a variety of domains, including face recognition. Here, stat…
Fully numerical Hartree-Fock calculations for atoms and small molecules with quantics tensor trains
Paul Haubenwallner, Matthias Heller
We present a fully numerical framework for the optimization of molecule-specific quantum chemical basis functions within the quantics tensor train format using a finite-difference…