122 citations · 483 across the 70 of their papers we have counts for
20 papers · 1 filter
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…
Addressing Limitations of State-Aware Imitation Learning for Autonomous Driving
Luca Cultrera, Federico Becattini, Lorenzo Seidenari +2
Conditional Imitation learning is a common and effective approach to train autonomous driving agents. However, two issues limit the full potential of this approach: (i) the inertia…
FLODCAST: Flow and Depth Forecasting via Multimodal Recurrent Architectures
Andrea Ciamarra, Federico Becattini, Lorenzo Seidenari +1
Forecasting motion and spatial positions of objects is of fundamental importance, especially in safety-critical settings such as autonomous driving. In this work, we address the is…