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
23 papers · 1 filter
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…
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…
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…
First Competition on Presentation Attack Detection on ID Card
Juan E. Tapia, Naser Damer, Christoph Busch +12
This paper summarises the Competition on Presentation Attack Detection on ID Cards (PAD-IDCard) held at the 2024 International Joint Conference on Biometrics (IJCB2024). The compet…
Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data
Ivan DeAndres-Tame, Ruben Tolosana, Pietro Melzi +55
Synthetic data is gaining increasing relevance for training machine learning models. This is mainly motivated due to several factors such as the lack of real data and intra-class v…
YCB-Ev 1.1: Event-vision dataset for 6DoF object pose estimation
Pavel Rojtberg, Thomas Pöllabauer
Our work introduces the YCB-Ev dataset, which contains synchronized RGB-D frames and event data that enables evaluating 6DoF object pose estimation algorithms using these modalitie…