Our laboratory has presented the research work titled Continual Learning for Real Life Robotics at the event “Cognitive Robots 2022” held in conjunction with the International Conference on Image Analysis and Processing (ICIAP), Lecce, Italy.
Our paper: Incremental Training of Face Morphing DetectorsG. Borghi, G. Graffieti, A. Franco, D. Maltoni has been accepted in the 26th International Conference on Pattern Recognition (August 21-25, 2022 – Montréal Québec)!
Our paper: Continual Learning in Real-Life Applications G. Graffieti, G. Borghi and D. Maltoni has been accepted for publication in the IEEE Robotics and Automation Letters journal! Check it out on IEEE Explore!
Course: Laurea Magistrale in Ingegneria e Scienze Informatiche Type: Progetto/Ricerca Abstract: allo studente viene richiesto lo sviluppo di modelli avanzati per la stima automatica di misure antropometriche (ad esempio altezza, lunghezza braccia e gambe, circonferenza del bacino) a partire da immagini, quindi tramite tecniche non… Read More »Stima di misure antropometriche da immagini
Course: Laurea Magistrale in Ingegneria e Scienze Informatiche Type: Ricerca Abstract: la tesi si concentra nello sviluppo di sistemi per il riconoscimento automatico dell’identità di una persona tramite l’acquisizione di immagini del volto e modelli di Machine e Deep Learning. Si predilige lo sviluppo di… Read More »Face Recognition da immagini multi-modali
Resto del Carlino (local edition) [link to the article (italian)] Unibo Magazine [link to the article (italian)]
The Unibo team coordinated by prof. Davide Maltoni at the UOS DISI in Cesena, which includes: Gabriele Graffieti (PhD student Data Science), Guido Borghi (RTD-A DISI) and Matteo Ferrara (Associate Professor DISI), won the competition Continual learning – supervided classification organized within the workshop Self-supervised… Read More »1 place in the ICCV 2021 SSLAD competition!
This is the first test news of the MI@Biolab website! Here, you will find updates and news from the laboratory and the Machine Learning community. Stay tuned!