7 citations · 7 across the 2 of their papers we have counts for
3 papers
cs.CV2026
Learning to Attract and Repel: Dual Quality Margin Learning for Face Recognition (DQM-Face)
El Ouanas Belabbaci, Bhavesh Wani, Philipp Terhörst
Face recognition in unconstrained environments remains highly challenging due to diverse and extreme variations encountered in real-world scenarios. To mitigate these effects, exis…
cs.CV2026
Beyond Error-vs-Discard Characteristic: Toward Stable and Reliable Evaluation for Face Image Quality Assessment
Bhavesh Wani, Žiga Babnik, Vitomir Štruc +1
Face Image Quality Assessment (FIQA) aims to estimate the utility of facial images for reliable recognition. The evaluation of FIQA methods is predominantly based on the Error-vers…
cs.CV2022★ 7 cited
Analyzing Fairness in Deepfake Detection With Massively Annotated Databases
Ying Xu, Philipp Terhörst, Kiran Raja +1
In recent years, image and video manipulations with Deepfake have become a severe concern for security and society. Many detection models and datasets have been proposed to detect…