most citedDemographic Variability in Face Image Quality Measures

4 citations · 8 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2025

StableMorph: High-Quality Face Morph Generation with Stable Diffusion

Wassim Kabbani, Kiran Raja, Raghavendra Ramachandra +1

Face morphing attacks threaten the integrity of biometric identity systems by enabling multiple individuals to share a single identity. To develop and evaluate effective morphing a…

cs.CV2025★ 4 cited

Demographic Variability in Face Image Quality Measures

Wassim Kabbani, Kiran Raja, Raghavendra Ramachandra +1

Face image quality assessment (FIQA) algorithms are being integrated into online identity management applications. These applications allow users to upload a face image as part of…

cs.CV2025

FaceOracle: Chat with a Face Image Oracle

Wassim Kabbani, Kiran Raja, Raghavendra Ramachandra +1

A face image is a mandatory part of ID and travel documents. Obtaining high-quality face images when issuing such documents is crucial for both human examiners and automated face r…

cs.CV2025★ 2 cited

Radial Distortion in Face Images: Detection and Impact

Wassim Kabbani, Tristan Le Pessot, Kiran Raja +2

Acquiring face images of sufficiently high quality is important for online ID and travel document issuance applications using face recognition systems (FRS). Low-quality, manipulat…

cs.CV2025

Eye Sclera for Fair Face Image Quality Assessment

Wassim Kabbani, Kiran Raja, Raghavendra Ramachandra +1

Fair operational systems are crucial in gaining and maintaining society's trust in face recognition systems (FRS). FRS start with capturing an image and assessing its quality befor…

cs.CV2023★ 2 cited

EGAIN: Extended GAn INversion

Wassim Kabbani, Marcel Grimmer, Christoph Busch

Generative Adversarial Networks (GANs) have witnessed significant advances in recent years, generating increasingly higher quality images, which are non-distinguishable from real o…

cs.CV2023

Robust Sclera Segmentation for Skin-tone Agnostic Face Image Quality Assessment

Wassim Kabbani, Christoph Busch, Kiran Raja

Face image quality assessment (FIQA) is crucial for obtaining good face recognition performance. FIQA algorithms should be robust and insensitive to demographic factors. The eye sc…