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20232025
most citedDemographic Variability in Face Image Quality Measures

4 citations · 10 across the 8 of their papers we have counts for

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6 papers · 1 filter

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

Generalized Single-Image-Based Morphing Attack Detection Using Deep Representations from Vision Transformer

Haoyu Zhang, Raghavendra Ramachandra, Kiran Raja +1

Face morphing attacks have posed severe threats to Face Recognition Systems (FRS), which are operated in border control and passport issuance use cases. Correspondingly, 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…