activity
20192023
most citedCompact CNN Structure Learning by Knowledge Distillation

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2023

Learnable Data Augmentation for One-Shot Unsupervised Domain Adaptation

Julio Ivan Davila Carrazco, Pietro Morerio, Alessio Del Bue +1

This paper presents a classification framework based on learnable data augmentation to tackle the One-Shot Unsupervised Domain Adaptation (OS-UDA) problem. OS-UDA is the most chall…

cs.CV2021★ 1 cited

Compact CNN Structure Learning by Knowledge Distillation

Waqar Ahmed, Andrea Zunino, Pietro Morerio +1

The concept of compressing deep Convolutional Neural Networks (CNNs) is essential to use limited computation, power, and memory resources on embedded devices. However, existing met…

cs.CV2020

A Versatile Crack Inspection Portable System based on Classifier Ensemble and Controlled Illumination

Milind G. Padalkar, Carlos Beltrán-González, Matteo Bustreo +2

This paper presents a novel setup for automatic visual inspection of cracks in ceramic tile as well as studies the effect of various classifiers and height-varying illumination con…

cs.CV2020

Complex-Object Visual Inspection via Multiple Lighting Configurations

Maya Aghaei, Matteo Bustreo, Pietro Morerio +3

The design of an automatic visual inspection system is usually performed in two stages. While the first stage consists in selecting the most suitable hardware setup for highlightin…

eess.IV2019

Scanner Invariant Multiple Sclerosis Lesion Segmentation from MRI

Shahab Aslani, Vittorio Murino, Michael Dayan +3

This paper presents a simple and effective generalization method for magnetic resonance imaging (MRI) segmentation when data is collected from multiple MRI scanning sites and as a…