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BALLAN LAMBERTO
Contacts
Notice and additional information
More (updated) info about my research activities are available on: http://vimp.math.unipd.it/ and http://www.lambertoballan.net/.
Office hours
(updated on 12/07/2019 12:44)
Proposals for thesis
I am always looking for motivated students interested in computer vision and artificial intelligence for collaboration in research projects, thesis or internships. Please drop me an email if interested.
Curriculum Vitae
Lamberto Ballan is an assistant professor (tenure track) of computer science at University of Padova, Italy, where he leads the Visual Intelligence and Machine Perception (VIMP) group. Previously, he was a senior postdoctoral researcher at Stanford University and University of Florence, Italy, supported by a prestigious Marie Curie Fellowship from the European Commission. He received the Laurea and Ph.D. degrees in computer engineering in 2006 and 2011, both from the University of Florence, and was also a visiting scholar at the Signal and Image Processing department at Telecom Paristech, France, in 2010. His primary research area is computer vision, closely integrated with applied machine learning and multimedia, specifically focused on exploiting big data for visual recognition problems. The main aim of his current research is on designing learning algorithms that make the most effective use of prior and contextual knowledge in presence of sparse and noisy data. Dr. Ballan has published more than 40 papers in the most prestigious journals and conferences in computer vision, pattern recognition, multimedia and image processing, and his papers have been cited approx. 2000 times (H-index 23).
Lecturer's Curriculum (PDF): AE334304CDAAFB7E84933916E818ACF0.pdf Research areas
Computer Vision, Pattern Recognition, Machine Learning, Artificial Intelligence, Multimedia
Publications
http://www.lambertoballan.net/publications/
https://scholar.google.com/citations?user=JUcVsxQAAAAJ&hl=en List of taught course units in A.Y. 2019/20
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Università degli Studi di Padova, via 8 febbraio 2, 35122 Padova / P.IVA 00742430283 ‐ Informazioni sull'uso dei cookie |