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most citedTowards the Detection of AI-Synthesized Human Face Images

1 citations · 1 across the 8 of their papers we have counts for

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cs.CV2025

Fine-Grained HDR Image Quality Assessment From Noticeably Distorted to Very High Fidelity

Mohsen Jenadeleh, Jon Sneyers, Davi Lazzarotto +10

High dynamic range (HDR) and wide color gamut (WCG) technologies significantly improve color reproduction compared to standard dynamic range (SDR) and standard color gamuts, result…

cs.CV2025

Pose-invariant face recognition via feature-space pose frontalization

Nikolay Stanishev, Yuhang Lu, Touradj Ebrahimi

Pose-invariant face recognition has become a challenging problem for modern AI-based face recognition systems. It aims at matching a profile face captured in the wild with a fronta…

cs.CV2024

Fine-grained subjective visual quality assessment for high-fidelity compressed images

Michela Testolina, Mohsen Jenadeleh, Shima Mohammadi +5

Advances in image compression, storage, and display technologies have made high-quality images and videos widely accessible. At this level of quality, distinguishing between compre…

cs.CV2024

Towards A Comprehensive Visual Saliency Explanation Framework for AI-based Face Recognition Systems

Yuhang Lu, Zewei Xu, Touradj Ebrahimi

Over recent years, deep convolutional neural networks have significantly advanced the field of face recognition techniques for both verification and identification purposes. Despit…

cs.CV2024

Explainable Face Verification via Feature-Guided Gradient Backpropagation

Yuhang Lu, Zewei Xu, Touradj Ebrahimi

Recent years have witnessed significant advancement in face recognition (FR) techniques, with their applications widely spread in people's lives and security-sensitive areas. There…

cs.CV20241 cited

Towards the Detection of AI-Synthesized Human Face Images

Yuhang Lu, Touradj Ebrahimi

Over the past years, image generation and manipulation have achieved remarkable progress due to the rapid development of generative AI based on deep learning. Recent studies have d…