1 citations · 1 across the 10 of their papers we have counts for
10 papers
JPEG AIC2026: A large-scale dataset for fine-grained assessment of image coding
Mohsen Jenadeleh, Jon Sneyers, João Ascenso +8
Recent advances in conventional and learning-based image coding have increased the demand for benchmark datasets that support fine-grained assessment of compressed image quality, p…
In-place Double Stimulus Methodology for Subjective Assessment of High Quality Images
Shima Mohammadi, Mohsen Jenadeleh, Michela Testolina +4
This paper introduces a novel double stimulus subjective assessment methodology for the evaluation of high quality images to address the limitations of existing protocols in detect…
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…
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…
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…