217 citations · 467 across the 20 of their papers we have counts for
23 papers
Emergent Morphing Attack Detection in Open Multi-modal Large Language Models
Marija Ivanovska, Vitomir Štruc
Face morphing attacks threaten biometric verification, yet most morphing attack detection (MAD) systems require task-specific training and generalize poorly to unseen attack types.…
A Neuro-Fuzzy System for Interpretable Long-Term Stock Market Forecasting
Miha Ožbot, Igor Škrjanc, Vitomir Štruc
In the complex landscape of multivariate time series forecasting, achieving both accuracy and interpretability remains a significant challenge. This paper introduces the Fuzzy Tran…
Optimization-Based Improvement of Face Image Quality Assessment Techniques
Žiga Babnik, Naser Damer, Vitomir Štruc
Contemporary face recognition (FR) models achieve near-ideal recognition performance in constrained settings, yet do not fully translate the performance to unconstrained (realworld…
Synthetic Data for Face Recognition: Current State and Future Prospects
Fadi Boutros, Vitomir Struc, Julian Fierrez +1
Over the past years, deep learning capabilities and the availability of large-scale training datasets advanced rapidly, leading to breakthroughs in face recognition accuracy. Howev…
FICE: Text-Conditioned Fashion Image Editing With Guided GAN Inversion
Martin Pernuš, Clinton Fookes, Vitomir Štruc +1
Fashion-image editing represents a challenging computer vision task, where the goal is to incorporate selected apparel into a given input image. Most existing techniques, known as…
Meet-in-the-middle: Multi-scale upsampling and matching for cross-resolution face recognition
Klemen Grm, Berk Kemal Özata, Vitomir Štruc +1
In this paper, we aim to address the large domain gap between high-resolution face images, e.g., from professional portrait photography, and low-quality surveillance images, e.g.,…