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I received Bachelor and a Master's degree in Information and Automation Engineering from University of Perugia. In the occasion of an internship at FBK during the writing of my master's thesis I began my collaboration with TEV and got involved in the Venturi EU project for mobile Augmented Reality. In the following year I began my PhD with University of Perugia, carrying out most of my activities as part of the TEV group.
My main research topics include mobile Augemented Reality for outdoor environments, sensor fusion and comptuter vision techniques for mobile AR and smartwatch-based gesture recognition.
L Porzi, E Ricci, TA Ciarfuglia, M Zanin, Visual-inertial tracking on Android for Augmented Reality applications, Environmental Energy and Structural Monitoring Systems (EESMS), 2012 IEEE Workshop on
L Porzi, S Messelodi, CM Modena, E Ricci, A smart watch-based gesture recognition system for assisting people with visual impairments, Proceedings of the 3rd ACM international workshop on Interactive multimedia on mobile & portable devices, 2013
G Costante, L Porzi, O Lanz, P Valigi, E Ricci, Personalizing a Smartwatch-based Gesture Interface With Transfer Learning, European Signal Processing Conference (EUSIPCO), 2014
L Porzi, SR Buló, P Valigi, O Lanz, E Ricci, Learning Contours for Automatic Annotations of Mountains Pictures on a Smartphone, Eighth ACM/IEEE International Conference on Distributed Smart Cameras, 2014
L Porzi, Phd forum: Sensor fusion for outdoors augmented reality on android, Eighth ACM/IEEE International Conference on Distributed Smart Cameras, 2014
S Messelodi, C M Modena, L Porzi, P Chippendale, i-Street: Detection, Identification, Augmentation of Street Plates in a Touristic Mobile Application, Image Analysis and Processing - ICIAP 2015
A Penate-Sanchez, L Porzi, F Moreno-Noguer, Matchability Prediction for Full-Search Template Matching Algorithms, International Conference on 3D Vision - 3DV, 2015
L Porzi, S Rota Bulò, B Lepri, E Ricci, Predicting and understanding urban perception with convolutional neural networks, Proceedings of the 23rd ACM international conference on Multimedia - ACM'MM, 2015
G Zen, L Porzi, E Sangineto, E Ricci, N Sebe, Learning Personalized Models for Facial Expression Analysis and Gesture Recognition, IEEE Transactions on Multimedia, 2016
SR Bulò, L Porzi, P Kontschieder, Dropout Distillation, Proceedings of The 33rd International Conference on Machine Learning - ICML, 2016