106 citations · 311 across the 22 of their papers we have counts for
23 papers
Beyond Detection: Visual Realism Assessment of Deepfakes
Luka Dragar, Peter Peer, Vitomir Štruc +1
In the era of rapid digitalization and artificial intelligence advancements, the development of DeepFake technology has posed significant security and privacy concerns. This paper…
DifFIQA: Face Image Quality Assessment Using Denoising Diffusion Probabilistic Models
Žiga Babnik, Peter Peer, Vitomir Štruc
Modern face recognition (FR) models excel in constrained scenarios, but often suffer from decreased performance when deployed in unconstrained (real-world) environments due to unce…
Body Segmentation Using Multi-task Learning
Julijan Jug, Ajda Lampe, Vitomir Štruc +1
Body segmentation is an important step in many computer vision problems involving human images and one of the key components that affects the performance of all downstream tasks. S…
C-VTON: Context-Driven Image-Based Virtual Try-On Network
Benjamin Fele, Ajda Lampe, Peter Peer +1
Image-based virtual try-on techniques have shown great promise for enhancing the user-experience and improving customer satisfaction on fashion-oriented e-commerce platforms. Howev…
FaceQAN: Face Image Quality Assessment Through Adversarial Noise Exploration
Žiga Babnik, Peter Peer, Vitomir Štruc
Recent state-of-the-art face recognition (FR) approaches have achieved impressive performance, yet unconstrained face recognition still represents an open problem. Face image quali…
PrivacyProber: Assessment and Detection of Soft-Biometric Privacy-Enhancing Techniques
Peter Rot, Peter Peer, Vitomir Štruc
Soft-biometric privacy-enhancing techniques represent machine learning methods that aim to: (i) mitigate privacy concerns associated with face recognition technology by suppressing…