62 citations · 99 across the 32 of their papers we have counts for
5 papers · 1 filter
TomatoDIFF: On-plant Tomato Segmentation with Denoising Diffusion Models
Marija Ivanovska, Vitomir Struc, Janez Pers
Artificial intelligence applications enable farmers to optimize crop growth and production while reducing costs and environmental impact. Computer vision-based algorithms in partic…
On the Vulnerability of DeepFake Detectors to Attacks Generated by Denoising Diffusion Models
Marija Ivanovska, Vitomir Štruc
The detection of malicious deepfakes is a constantly evolving problem that requires continuous monitoring of detectors to ensure they can detect image manipulations generated by th…
Face Morphing Attack Detection with Denoising Diffusion Probabilistic Models
Marija Ivanovska, Vitomir Štruc
Morphed face images have recently become a growing concern for existing face verification systems, as they are relatively easy to generate and can be used to impersonate someone's…
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…