6 citations · 10 across the 6 of their papers we have counts for
9 papers
Differentiation and Shift Property Characterisations of the Group Fourier Transform on the Heisenberg Group
R. Lakshmi Lavanya
Recently, Krukowski characterised the classical Fourier transform on the real line in terms of its behaviour with respect to differentiation. For locally compact abelian groups, he…
Quality-Aware Image-Text Alignment for Opinion-Unaware Image Quality Assessment
Lorenzo Agnolucci, Leonardo Galteri, Marco Bertini
No-Reference Image Quality Assessment (NR-IQA) focuses on designing methods to measure image quality in alignment with human perception when a high-quality reference image is unava…
Perceptual Quality Improvement in Videoconferencing using Keyframes-based GAN
Lorenzo Agnolucci, Leonardo Galteri, Marco Bertini +1
In the latest years, videoconferencing has taken a fundamental role in interpersonal relations, both for personal and business purposes. Lossy video compression algorithms are the…
Restoration of Analog Videos Using Swin-UNet
Lorenzo Agnolucci, Leonardo Galteri, Marco Bertini +1
In this paper, we present a system to restore analog videos of historical archives. These videos often contain severe visual degradation due to the deterioration of their tape supp…
ARNIQA: Learning Distortion Manifold for Image Quality Assessment
Lorenzo Agnolucci, Leonardo Galteri, Marco Bertini +1
No-Reference Image Quality Assessment (NR-IQA) aims to develop methods to measure image quality in alignment with human perception without the need for a high-quality reference ima…
Reference-based Restoration of Digitized Analog Videotapes
Lorenzo Agnolucci, Leonardo Galteri, Marco Bertini +1
Analog magnetic tapes have been the main video data storage device for several decades. Videos stored on analog videotapes exhibit unique degradation patterns caused by tape aging…
Robust pedestrian detection in thermal imagery using synthesized images
My Kieu, Lorenzo Berlincioni, Leonardo Galteri +3
In this paper we propose a method for improving pedestrian detection in the thermal domain using two stages: first, a generative data augmentation approach is used, then a domain a…
Semantic Road Layout Understanding by Generative Adversarial Inpainting
Lorenzo Berlincioni, Federico Becattini, Leonardo Galteri +2
Autonomous driving is becoming a reality, yet vehicles still need to rely on complex sensor fusion to understand the scene they act in. The ability to discern static environment an…
Deep Generative Adversarial Compression Artifact Removal
Leonardo Galteri, Lorenzo Seidenari, Marco Bertini +1
Compression artifacts arise in images whenever a lossy compression algorithm is applied. These artifacts eliminate details present in the original image, or add noise and small str…