Lorenzo Seidenari Action and Object Recognition

Lorenzo Seidenari is a PostDoc at Media Integration and Communication Center of the University of Florence under the supervision of Prof. Alberto Del Bimbo

Lorenzo Seidenari received a laurea degree in computer engineering from the University of Florence, with a thesis on “Human action recognition using spatio-temporal interest points” in 2008. He received his PhD degre from the University of Florence in 2012 defending the thesis “Supervised and Semi-Supervised Event Detection with local spatio-temporal features”. In 2013 he was a visiting scholar at University of Michigan Ann Arbor, working with Prof. Silvio Savarese. He is currently a PostDoc at Media Integration and Communication Center of the University of Florence under the supervision of Prof. Alberto Del Bimbo. His research interests are on multimedia content analysis and retrieval focusing on action and object recognition in video and large scale image annotation from social media. He is teaching assistant for the course of multimedia analysis and retrieval since 2010 for the Master Degree in Computer Engineering.
He co-taught a graduate course on “Recognition and classification of visual context” for the PhD program in Computer Engineering at the University of Florence. He co-organized and taught advanced tutorials in image classification at ICPR 2014, ICIAP 2013. He served in the Local Committee of ECCV2012 and ACM MM 2010.

Am I Done? Predicting Action Progress in Videos

F. Becattini, T. Uricchio, L. Ballan, L. Seidenari, A. Del Bimbo

Arxiv Pre-Print, 2017

Indexing quantized ensembles of exemplar-SVMs with rejecting taxonomies

F. Becattini, L. Seidenari, A. Del Bimbo

Multimedia Tools and Applications, 2017

Reading text in the wild from compressed images

L. Galteri, D. Bazazian, L. Seidenari, M. Bertini, A. D. Bagdanov, A. Nicolau, D. Karatzas, A. Del Bimbo

Proc. of IEEE International Conference on Computer Vision workshops (ICCV), 2017

2017

Deep generative adversarial compression artifact removal

L. Galteri, L. Seidenari, M. Bertini, A. Del Bimbo

Proc. of International Conference on Computer Vision (ICCV), 2017

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