4 citations · 8 across the 3 of their papers we have counts for
3 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…
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…