162 citations · 172 across the 6 of their papers we have counts for
6 papers
Toward a Realistic Benchmark for Out-of-Distribution Detection
Pietro Recalcati, Fabio Garcea, Luca Piano +2
Deep neural networks are increasingly used in a wide range of technologies and services, but remain highly susceptible to out-of-distribution (OOD) samples, that is, drawn from a d…
Latent Diffusion Models for Attribute-Preserving Image Anonymization
Luca Piano, Pietro Basci, Fabrizio Lamberti +1
Generative techniques for image anonymization have great potential to generate datasets that protect the privacy of those depicted in the images, while achieving high data fidelity…
HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image Classifiers
Francesco Dibitonto, Fabio Garcea, André Panisson +2
Convolutional Neural Networks (CNNs) are nowadays the model of choice in Computer Vision, thanks to their ability to automatize the feature extraction process in visual tasks. Howe…
Fuzzy Logic Visual Network (FLVN): A neuro-symbolic approach for visual features matching
Francesco Manigrasso, Lia Morra, Fabrizio Lamberti
Neuro-symbolic integration aims at harnessing the power of symbolic knowledge representation combined with the learning capabilities of deep neural networks. In particular, Logic T…
Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification
Luca Piano, Filippo Gabriele Pratticò, Alessandro Sebastian Russo +3
Instance-level object re-identification is a fundamental computer vision task, with applications from image retrieval to intelligent monitoring and fraud detection. In this work, w…
Building Trust in Autonomous Vehicles: Role of Virtual Reality Driving Simulators in HMI Design
Lia Morra, Fabrizio Lamberti, F. Gabriele Pratticó +2
The investigation of factors contributing at making humans trust Autonomous Vehicles (AVs) will play a fundamental role in the adoption of such technology. The user's ability to fo…