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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…
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…
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…
Assessing objective quality metrics for JPEG and MPEG point cloud coding
Davi Lazzarotto, Michela Testolina, Touradj Ebrahimi
As applications using immersive media gained increased attention from both academia and industry, research in the field of point cloud compression has greatly intensified in recent…
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…
Subjective performance evaluation of bitrate allocation strategies for MPEG and JPEG Pleno point cloud compression
Davi Lazzarotto, Michela Testolina, Touradj Ebrahimi
The recent rise in interest in point clouds as an imaging modality has motivated standardization groups such as MPEG and JPEG Pleno to launch activities aiming at developing compre…