Massimiliano Mancini

I am a second year PhD student at Sapienza University of Rome in the Department of Computer, Control, and Management Engineering Antonio Ruberti, in collaboration with Fondazione Bruno Kessler (Trento, Italy) supervised by Prof. Barbara Caputo and Prof. Elisa Ricci. I am a member of the Visual and Multimodal Applied Learning Lab (VANDAL) and the Technologies of Vision Lab (TEV).

I received the master degree in Artificial Intelligence and Robotics from Sapienza University of Rome (Italy) in 2016, with maximum grade and excellence mention. Previously, I received the bachelor degree in Computer Science and Electronic Engineering from University of Perugia (Italy) in 2014.

The main goal of my work is developing algorithms for increasing the generalization capabilities of deep architectures. In particular my focus is addressing problems such as domain adaptation/generalization and incremental learning in the context of computer and robot vision.

Email  /  CV  /  Google Scholar  /  GitHub

Publications

2018

Boosting Domain Adaptation by Discovering Latent Domains
Massimiliano Mancini, Lorenzo Porzi, Samuel Rota Bulò, Barbara Caputo and Elisa Ricci
CVPR 2018, June, Salt Lake City (USA). (Spotlight!)
paper code bibtex

Robust Place Categorization With Deep Domain Generalization
Massimiliano Mancini, Samuel Rota Bulò, Barbara Caputo and Elisa Ricci
IEEE Robotics and Automation Letters, Volume 3, n. 3, July 2018.
paper code bibtex

2017

Learning Deep NBNN Representations for Robust Place Categorization
Massimiliano Mancini, Samuel Rota Bulò, Elisa Ricci and Barbara Caputo
IEEE Robotics and Automation Letters, Volume 2, n. 3, May 2017 and presented at IROS 2017, Vancouver, Canada.
paper code bibtex

Embedding Words and Senses Together via Joint Knowledge-Enhanced Training
Massimiliano Mancini, Jose Camacho-Collados, Ignacio Iacobacci and Roberto Navigli
CoNLL 2017
paper code bibtex


Website style cloned from this nice page.
Last update: April 2018