About

Loris Bazzani, Postdoc

IIT – Istituto Italiano di Tecnologia

PAVIS – Pattern Analysis & Computer Vision dept.

Via Morego, 30, 16163 Genova, Italy.

Skype: lorisbazzani

Youtube: anonymousTrack and anonymousML

Contact me: name dot surname at iit dot it

Brief Bio

2012 – now, Postdoc in Computer Vision/Machine Learning at the PAVIS dept., Italian Institute of Technology. Working with Prof. Vittorio Murino

2009 – 2012, PhD in Computer Science at the VIPS lab, University of Verona. Supervisor: Prof. Vittorio Murino, Co-supervisor: Dr. Marco Cristani

May – Nov. 2010, Internship at Laboratory of Computational Intelligence, University of British Columbia (Vancouver). Supervisor: Prof. Nando de Freitas

2006 – 2008, MSc in Intelligent and Multimedia Systems, University of Verona

2003 – 2006, BSc in Information Technology, University of Verona

Reviewer (R) and Program Committee Member (PCM): Pattern Analysis and Applications (R), Systems, Man and Cybernetics – Part B (R), Re-id 2012 workshop (PCM), SocialCom 2012 (PCM), BMVC 2012 (PCM)

Memberships: IEEE student member, GIRPR member

Full CV (PDF) (last update 05/11/2011)

Publications

Research Interests

The main goal of my research is to face Computer Vision problems using Machine Learning approaches. In particular, I believe that to deal with vision problems, we should exploit the temporal redundancy of data as human perception system does. My research is focus on integrating and extracting high-level information from sequential data (video sequences) from both the engineering and the cognitive point of views.

Interests:

Computer Vision Machine Learning
  • Visual Tracking (multi-target)
  • Attentional Models
  • Social Interaction Discovery
  • Group Tracking
  • Person Re-identification for Multi-Camera
  • Sequential Monte Carlo Methods
  • Restricted Boltzmann Machines and Deep Networks
  • Non-parametric Bayesian Models
  • Dynamic Bayesian Nets

See the project page here.

Publications 

[21]
L. Bazzani.
Beyond Multi-target tracking: statistical pattern analysis of people and groups.
PhD thesis, University of Verona, 2012. Reviewers: Prof. R. T. Collins and Prof A. del Bimbo
[ bib | pdf ]
[20]
L. Bazzani, V. Murino, and M. Cristani.
Decentralized particle filter for joint individual-group tracking.
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR),  2012. (to appear).
[ bib | pdf | dataset | video ]
[19]
L. Bazzani, M. Cristani, G. Pagetti, D. Tosato, G. Menegaz, and V. Murino.
Analyzing groups: a social signaling perspective.
Video Analytics for Business Intelligence, volume 409 of Studies in Computational Intelligence, pages 271-305. Springer Berlin/Heidelberg, 2012.
[ bib | DOI | pdf | http ]
[18]
L. Bazzani, D. Tosato, M. Cristani, M. Farenzena, G. Pagetti, G. Menegaz, and V. Murino.
Social interactions by visual focus of attention in a three-dimensional environment.
Expert Systems, 2012. in print.
[ bib | pdf | dataset | code | video ]  
[17] M. Denil, L. Bazzani, H. Larochelle, and N. de Freitas.
Learning where to attend with deep architectures for image tracking.
Neural Computation, 2012. in print.
[ bib | pdf ]
[16] L. Bazzani, M. Cristani, A. Perina, and V. Murino.
Multiple-shot person re-identification by chromatic and epitomic analyses.
Pattern Recognition Letters, 2011.
[ bib | DOI | pdf | dataset | http ]
[15]
L. Bazzani, N. de Freitas, H. Larochelle, V. Murino, and J-A Ting.
Learning attentional policies for object tracking and recognition in video with deep networks.
In International Conference on Machine Learning (ICML), 2011. 
[ bib | pdf | pres | talk | poster | dataset | code | video ]
[14]
M. Cristani, L. Bazzani, G. Pagetti, A. Fossati, D. Tosato, A. Del Bue, G. Menegaz, and V. Murino.
Social interaction discovery by statistical analysis of f-formations.
In British Machine Vision Conference (BMVC), 2011. 
[ bib | pdf | dataset ]
[13]
D. S. Cheng, M. Cristani, M. Stoppa, L. Bazzani, and V. Murino.
Custom pictorial structures for re-identification.
In British Machine Vision Conference (BMVC), 2011. 
[ bib | pdf | dataset | video ]
[12]
M. Cristani, G. Pagetti, A. Vinciarelli, L. Bazzani, G. Menegaz, and V. Murino.
Towards computational proxemics: Inferring social relations from interpersonal distances.
In International Conference on Social Computing (SocialCom), 2011.
[ bib | pdf ]
[11]
L. Bazzani, M. Cristani, and V. Murino.
Collaborative particle filters for group tracking.
In 17th IEEE International Conference on Image Processing (ICIP), pages 837 -840, September 2010.
[ bib | DOI | pdf | pres ]
[10]
L. Bazzani, M. Cristani, A. Perina, M. Farenzena, and V. Murino.
Multiple-shot person re-identification by hpe signature.
In 20th International Conference on Pattern Recognition (ICPR), pages 1413 -1416, August 2010. IBM Best Student Paper Award track: Computer Vision.
[ bib | DOI | pdf | pres ]
[9]
M. Farenzena, L. Bazzani, A. Perina, V. Murino, and M. Cristani.
Person re-identification by symmetry-driven accumulation of local features.
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 2360 -2367, June 2010.
[ bib | DOI | pdf | poster | code | video ]
[8]
L. Bazzani, N. de Freitas, and J-A Ting.
Learning attentional mechanisms for simultaneous object tracking and recognition with deep networks.
In Deep Learning and Unsupervised Feature Learning Workshop at NIPS, Vancouver, Canada, 2010.
[ bib | pdf | poster | video ]
[7]
L. Bazzani, M. Cristani, M. Bicego, and V. Murino.
Online subjective feature selection for occlusion management in tracking applications.
In 16th IEEE International Conference on Image Processing (ICIP), pages 3617 -3620, November 2009.
[ bib | DOI | pdf | poster ]
[6]
L. Bazzani, D. Bloisi, and V. Murino.
A comparison of multi hypothesis kalman filter and particle filter for multi-target tracking.
In Performance Evaluation of Tracking and Surveillance workshop at CVPR, pages 47-54, Miami, Florida, 2009.
[ bib | pdf ]
[5]
M. Farenzena, A. Tavano, L. Bazzani, D. Tosato, G. Pagetti, G. Menegaz, V. Murino, and M. Cristani.
Social interaction by visual focus of attention in a three-dimensional environment.
In Workshop on Pattern Recognition and Artificial Intelligence for Human Behavior Analysis at AI*IA, 2009.
[ bib | pdf | dataset | code | video ]
[4]
M. Farenzena, L. Bazzani, V. Murino, and M. Cristani.
Towards a subject-centered analysis for automated video surveillance.
In Proceedings of the 15th International Conference on Image Analysis and Processing (ICIAP), pages 481-489. Springer-Verlag, 2009.
[ bib | DOI | pdf ]
[3]
L. Bazzani.
Particle filtering approaches for multi-target tracking in video surveillance applications.
Master Thesis supervised by Prof. V. Murino and Dr. M. Cristani, 2008.
[ bib ]
[2]
U. Castellani, L. Bazzani, D. Tosato, V. Murino, G. Rambaldelli, C. Perlini, M. Atzori, M. Tansella, and P. Brambilla.
A learning by example approach for mri analysis of human brain in the context of mental health.
In ISMRM Annual Meeting, Berlin, Germany, 2007.
[ bib | poster ]
[1]
L. Bazzani.
Techniques for the analysis and the classification of mri for searching pathology with application to mental health.
Bachelor Thesis supervised by Prof. V. Murino and Dr. U. Castellani, 2006.
[ bib ]

This file was generated by bibtex2html 1.96.

 

Calendar (My busy times) 

Hobbies

Soccer & Futsal, Photography, Videogames, Snowboard, Syfy series and movies