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Vittorio Murino Write a Message

Senior Researcher - Research Director
Department Director

About

Vittorio Murino is full professor at the University of Verona, Italy, and director of the PAVIS (Pattern Analysis and Computer Vision) department at the Istituto Italiano di Tecnologia. He took the Laurea degree in Electronic Engineering in 1989 and the Ph.D. in Electronic Engineering and Computer Science in 1993 at the University of Genova, Italy.

He held a post-doctoral position from 1993 to 1995, working in the Signal Processing and Understanding Group of the Dept. of Biophysical and Electronic Engineering of the University of Genova as supervisor of research activities on image processing for object recognition and pattern classification in underwater environments. From 1995 to 1998, he was assistant professor at the Dept. of Mathematics and Computer Science of the University of Udine, Italy, and since 1998 he works at the University of Verona. He was chairman of the Department of Computer Science from 2001, year of foundation, to 2007, and coordinator of the Ph.D. program in Computer Science in the same university from 1999 to 2003. Prof. Murino is scientific responsible of several national and European projects, and evaluator of EU project proposals related to several frameworks and programs.

Currently, he is working at the Istituto Italiano di Tecnologia in Genova, Italy, to set up and lead the PAVIS department involved in computer vision, machine learning, and image analysis.

His main research interests include: computer vision and pattern recognition/machine learning, in particular, probabilistic techniques for image and video processing, with applications on video surveillance, biomedical image analysis and bioinformatics.

Prof. Murino is co-author of more than 400 papers published in refereed journals and international conferences, reviewer for several international journals, and member of the technical committees of important conferences (CVPR, ICCV, ECCV, ICPR, ICIP and others), and guest co-editor of special issues in relevant scientific journals.

He is also member of the editorial board of Pattern Recognition, Pattern Analysis and Applications, and Machine Vision & Applications journals, as well as of the IEEE Transactions on Cybernetics.

Finally, prof. Murino is senior member of the IEEE and Fellow of the IAPR.

Projects

EU Future and Emerging Technologies (FET), Neuro-Bio Inspired Systems (NBIS) project (STREP)

Title: RENVISION - Retina-inspired ENcoding for advanced VISION tasks

Start: March 1st 2013

Selected Publications

Recent Journals  (inverse cronological order, up to 2010 for conferences)

Go to http://dblp.uni-trier.de/pers/hd/m/Murino:Vittorio.html for an updated list

 

Journals

2016

  1. Minh Hà Quang, L. Bazzani, V. Murino, “A Unifying Framework in Vector-Valued Reproducing Kernel Hilbert Spaces for Manifold Regularization and Co-Regularized Multi-View Learning”, Journal of Machine Learning Research, 2016. In press
  2. S. Vascon, E.Z. Mequanint, M. Cristani, H. Hung, M. Pelillo, V. Murino, “Detecting conversational groups in images and sequences: a robust game-theoretic approach”, Computer Vision and Image Understanding, Vol. 143, pp. 11-24, Feb. 2016.

2015

  1. S. Ullo, V. Murino, A. Maccione, L. Berdondini, D. Sona, “Bridging the Gap in Connectomic Studies: A Particle Filtering Framework for Estimating Structural Connectivity at Network Scale Medical Image Analysis”, Medical Image Analysis, Vol. 21, No. 1, pp. 1-14, April 2015.
  2. P. Salvagnini, F. Pernici, M. Cristani, G. Lisanti, A. Del Bimbo, V. Murino, “Non-Myopic Information Theoretic Sensor Management of a Single Pan-Tilt-Zoom Camera for Multiple Object Detection and Tracking”, Computer Vision and Image Understanding, Vol. 134, pp. 74–88, May 2015.
  3. L. Bazzani, M. Zanotto, M. Cristani, V. Murino, “Joint Individual-Group Modeling for Tracking”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol 37(4), pp. 746-759, April 2015.

2014

  1. L. Dodero, S. Vascon, V. Murino, A. Bifone, A. Gozzi, D. Sona, “Automated Multi-Subject Fiber Clustering of Mouse Brain using Dominant Sets”, Frontiers in Neuroinformatics 8:87, Dec. 2014. DOI: 10.3389/fninf.2014.00087. Online
  2. S. Ullo, T.R. Nieus, D. Sona, A. Maccione, L. Berdondini, V. Murino, “Functional Connectivity Estimation over Large Networks at Cellular Resolution based on Electrophysiological Recordings and Structural Prior”, Frontiers in Neuroanatomy 8:137, Nov. 2014. DOI: 10.3389/fnana.2014.00137. Online
  3. M. San Biagio, S. Martelli, M. Crocco, M. Cristani, V. Murino “Encoding Structural Similarity By Cross-covariance Tensors For Image Classification”, International Journal of Pattern Recognition and Artificial Intelligence, Vol. 28, Issue 7, November 2014.
  4. A. Tavano, A. Pesarin, V. Murino, M. Cristani. “Automatic conversational scene analysis in children with Asperger syndrome/High Functioning Autism and typically developing peers", PLoS ONE, 2014. DOI: 10.1371/journal.pone.0085819.
  5. D.S. Cheng, H. Salamin, P. Salvagnini, M. Cristani, A. Vinciarelli, V. Murino. “Predicting Online Lecture Ratings Based on Gesturing and Vocal Behavior”, Journal on Multimodal User Interfaces”, Journal on Multimodal User Interfaces, Vol. 8, Issue 2, pp, 151-160, June 2014.
  6. F. Papaleo, M.L. Scattoni, L. Giancardo, D. Sona, H. Huang, S. Sannino, F. Managò, D. Scheggia, V. Murino, “Chronic and Acute Intranasal Oxytocin Produce Divergent Social Effects in Mice”, Neuropsychopharmacology, 39(5), pp. 1102-14, April 2014.
  7. A.C. Carli, M.A.T. Figueiredo, M. Bicego, V. Murino: Generative embeddings based on Rician mixtures for kernel-based classification of magnetic resonance images. Neurocomputing, Vol. 123, pp. 49-59, 2014.

2013

  1. L. Giancardo, D. Sona, H. Huang, S. Sannino, F. Managò, D. Scheggia, F. Papaleo, V. Murino, “Automatic Visual Tracking and Social Behaviour Analysis with Multiple Mice”, PLoS ONE 8(9): e74557, Sept. 2013. doi:10.1371/journal.pone.0074557 2013.
  2. D. Tosato, M. Spera, M, Cristani, V.Murino, “Characterizing humans on Riemannian manifolds”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 35(8), pp. 1972-1984, August 2013.
  3. L. Bazzani, M. Cristani, V. Murino. “Symmetry-driven accumulation of local features for human characterization and re-identification”. Computer Vision and Image Understanding, Vol. 117(2), pp. 130-144, February 2013.
  4. M.Bicego, A.Ulas, U.Castellani, A.Perina, V.Murino, A.F.T. Martins, P.M.Q. Aguiar, M.A.T. Figueiredo, “Combining Information Theoretic Kernels with Generative Embeddings for Classification”, Neurocomputing, Vol. 101, pp. 161-169, Feb. 2013.
  5. M. Cristani, R. Raghavendra, A. Del Bue, V. Murino, “Human Behavior Analysis in Video Surveillance: a Social Signal Processing Perspective”, Neurocomputing, Vol. 100, pp. 86-97, Jan. 2013.

2012

  1. A.Perina, N.Jojic, M.Cristani, V.Murino, “Stel Component Analysis: Joint Segmentation, Modeling and Recognition of Objects Classes”, International Journal of Computer Vision, Vol. 100, No. 3, pp. 241-260, 2012.
  2. A. Perina, M. Cristani, U. Castellani, V. Murino, N. Jojic, “Free energy score spaces: using generative information in discriminative classifiers”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 34, No. 7, pp. 1249-1262, July 2012.
  3. M.Bicego, P.Lovato, A.Perina, M.Fasoli, M.Delledonne, M.Pezzotti, A.Polverari, V.Murino, “Investigating topic models' capabilities in expression microarray data classification, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 9, no. 6, pp. 1831-1836, 2012.
  4. A. Pesarin, M. Cristani, V. Murino, A. Vinciarelli, “Conversation Analysis at Work: Detection of Conflict in Competitive Discussions through Semi-Automatic Turn-Organization Analysis”, Cognitive Processing, Volume 13, Issue 2 Supplement, pp 533-540, October 2012.
  5. A.Sedda, V.Manfredi, G.Bottini, M.Cristani, V.Murino. Automatic human interaction understanding: lessons from a multidisciplinary approach. Frontiers in Human Neuroscience, 2012. Online.
  6. M.Crocco, A.Del Bue, V.Murino, “A Bilinear Approach to the Position Self-Calibration of Multiple Sensors”, IEEE Transactions on Signal Processing, Vol. 60, No. 2, pp. 660-673, Feb. 2012.
  7. U. Castellani, M.Cristani, V.Murino, “Statistical 3D shape analysis by local generative descriptors”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 33 no. 12, Dec. 2011, pp. 2555-2560.

2011

  1. Torre B., Lorenzoni M., Bicego M., Cristani M., Murino V. and Diaspro A., “PCA In Dynamic Force Spectroscopy”, Imaging & Microscopy, 13(4), pp. 26-28, Nov. 2011.
  2. M.Cristani, A.Pesarin, C.Drioli, A.Perina, A.Tavano, V.Murino, “Generative Modeling and Classification of Dialogs by a Low-level Turn-taking Feature”, Pattern Recognition, Volume 44, Issue 8, August 2011, pp. 1785-1800.
  3. A.Ulas, R.P.W.Duin, U.Castellani, M.Loog, P.Mirtuono, M.Bicego, V.Murino, M.Bellani, S.Cerruti, M.Tansella, P.Brambilla, “Dissimilarity-Based Detection of Schizophrenia”, International Journal of Imaging Systems & Technology, Volume 21, Issue 2, June 2011, pp. 179–192.

2010

  1. R.Marzotto, P.Zoratti, D.Bagni, A.Colombari, V.Murino, “A real-time versatile roadway path extraction and tracking on an FPGA platform”, Computer Vision and Image Understanding, Vol. 114, No. 11, Nov. 2010, pp. 1164-1179.
  2. B.Torre, M.Bicego, M.Cristani, V.Murino, A.Diaspro, R.Cingolani, “Combination of Atomic Force Microscopy and Principal Component Analysis as a general method for direct recognition of functional and structural domains in nanonocomposite materials”, Microscopy Research and Technique, Vol. 73, Issue 10, Oct. 2010, pp. 973-981.
  3. A. Perina, M. Cristani, V. Murino,  “Learning natural scene categories by selective multi-level feature extraction”, Image and Vision Computing, Vol. 28, Issue 6, June 2010, pp. 927-939.

2009-

  1. U. Castellani, M. Cristani, C. Combi, V. Murino,  A. Sbarbati, P. Marzola, “Visual MRI: Merging Information Visualization and non-parametric clustering techniques for MRI data set analysis”, Artificial Intelligence in Medicine, Vol. 44, No. 3, November 2008, pp. 171-282.
  2. U.Castellani, M.Cristani, S.Fantoni, V.Murino, “Interest points detection and matching by exploiting 3D mesh saliency in a Hidden Markov Model framework”, Computer Graphics Forum, Vol. 29(2), 2008.
  3. M. Cristani, M. Bicego, V. Murino, "Audio-Visual Event Recognition in Surveillance Video Sequences", IEEE Transactions on Multimedia, Vol. 9, No. 2, Feb. 2007, pp. 257-267.
  4. M. Bicego, M. Cristani, V. Murino, "Unsupervised Scene Analysis: A Hidden Markov Model Approach", Computer Vision and Image Understanding, Vol. 102/1, pp. 22-41, April 2006.
  5. A. Fusiello, V. Murino, "Augmented Scene Modeling and Visualization by Optical and Acoustic Sensor Integration", IEEE Transactions on Visualization and Computer Graphics, Vol. 10, No. 6, 2004, pp. 625-636.
  6. M.Bicego, V.Murino, “Investigating Hidden Markov Models' Capabilities in 2D Shape Classification”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 26, No. 3, Feb. 2004, pp. 281-286.
  7. M. Bicego, V. Murino, M.A.T. Figueiredo, "Similarity-based classification of sequences using Hidden Markov Models", Pattern Recognition, Vol. 37, No. 12, Dec. 2004, pp 2281-2291.
  8. U. Castellani, A. Fusiello, V. Murino, “Registration of multiple acoustic range views for underwater scene reconstruction”, Computer Vision and Image Understanding, Vol. 87, no. 3, 2002, pp. 78-89.
  9. V. Murino, A. Trucco, “Three-Dimensional Image Generation and Processing in Underwater Acoustic Vision”, Proceedings of the IEEE, Vol. 88, No. 12, Dec. 2000, pp. 1903-1946.
  10. V.Murino, A.Trucco, "Confidence-based Approach to Enhancing Underwater Acoustic Image Formation ", IEEE Transactions on Image Processing, Vol. 8, No. 2, February 1999 pp. 270-285.
  11. 38.    V. Murino, “Structured Neural Networks for Pattern Recognition”, IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, Vol. 28, N. 4, pp. 553-561, August 1998.
  12. V. Murino, A. Trucco, C.S. Regazzoni, "A Probabilistic Approach to the Coupled Reconstruction and Restoration of Underwater Acoustic Images", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 20, No. 1, pp. 9-22, January 1998.
  13. V.Murino, C.Ottonello, S.Pagnan, "Noisy Texture Classification: A Higher Order Statistics Approach", Pattern Recognition, Vol. 31, No. 4, pp. 383-393, 1998.

 

Conferences/Workshops/Contributions on books

2015

  1. S. Mohammadi, H.K. Galoogahi, A. Perina, V. Murino,Violence Detection in Crowded Scenes using Substantial Derivative”, 12th IEEE Int’l Conf. on Advanced Video and Signal Based Surveillance AVSS 2015, Karlsruhe, Germany, August 2015.
  2. S. Martelli, M. San Biagio, V. Murino, “Latent subcategory models for pedestrian detection with partial occlusion handling”, 12th IEEE Int’l Conf. on Advanced Video and Signal Based Surveillance AVSS 2015, Karlsruhe, Germany, August 2015.
  3. A. Zunino, M. Crocco, S. Martelli, A. Trucco, A. Del Bue, V. Murino, “Seeing the Sound: a New Multimodal Imaging Device for Computer Vision”, Workshop on 3D Reconstruction and Understanding with Video and Sound (IEEE ICCV 2015 satellite workshop), Santiago de Chile, Dec. 2015.
  4. L. Dodero, M. Ha Quang M., M. San Biagio, V. Murino, D. Sona, “Kernel-based classification for brain connectivity graphs on the Riemannian manifold of positive definite matrices”, 12nd IEEE Int’l Symposium on Biomedical Imaging ISBI 2015, New York, USA, April 2015.
  5. A. Bhuiyan, A. Perina, V. Murino, “Exploiting Multiple Detections to Learn Robust Brightness Transfer Functions in Re-Identification Systems”, Int’l Conf. on Image Processing ICIP 2015, Quebec City, Canada, Sept. 2016. Top 10% best paper
  6. D. Stamos, S. Martelli, M. Nabi, A. McDonald, V. Murino, M. Pontil, “Learning With Dataset Bias in Latent Subcategory Models”, 28th IEEE Conference on Computer Vision and Pattern Recognition CVPR 2015, Boston, USA, June 2015, pp. 3650-3658.
  7. B. Zhang, A. Perina, V. Murino, A. Del Bue, “Sparse Representation Classification with Manifold Constraints Transfer”, 28th IEEE Conference on Computer Vision and Pattern Recognition CVPR 2015, Boston, USA, June 2015, pp. 4557-4565.
  8. H. Mousavi, S. Mohammadi, A. Perina, R. Chellali, V. Murino, “Analyzing Tracklets for the Detection of Abnormal Crowd Behavior”, IEEE Workshop on Applications of Computer Vision WACV 2015, Jan. 2015.
  9. B. Zhang, Z. Li, A. Perina, A. Del Bue, V. Murino, “Adaptive Local Movement Modelling for Object Tracking”, IEEE Workshop on Applications of Computer Vision WACV 2015, Jan. 2015.

2014

  1. S. Vascon, E. Zemene, M. Cristani, H. Hung, M. Pelillo, V. Murino, “A Game-Theoretic Probabilistic Approach for Detecting Conversational Groups”, 12th Asian Conf. on Computer Vision ACCV'14, Singapore, November 2014. Oral, 4% aceptance rate
  2. M. Cristani, V. Murino, “Socially-Driven Computer Vision for Group Behavior Analysis”, In Registration and Recognition in Images and Videos, Studies in Computational Intelligence, R. Cipolla, S. Battiato, G.M. Farinella (Eds.), Springer, Volume 532, 2014, pp. 223-256. Book chapter
  3. S. Vascon, E. Zemene, M. Cristani, H. Hung, M. Pelillo, V. Murino, “A Game-Theoretic Probabilistic Approach for Detecting Conversational Groups”, 12th Asian Conf. on Computer Vision ACCV'14, Singapore, November 2014. Oral, 4% acceptance rate
  4. M. Tamassia, A. Farinelli, V. Murino, A. Del Bue, “A Directional Visual Descriptor for Large-Scale Coverage Problems”, IEEE/RSJ International Conference on Intelligent Robots and Systems IROS 2014, Chicago, Sept. 2014.
  5. A. Perina, M. Zanotto, B. Zhang, V. Murino, “Location Recognition of Lifelog Images through a combination of Generative Models”, 25th British Machine Vision Conference BMVC 2014, Nottingham, UK, Aug. 2014.
  6. A. Perina, D. Peruzzo, M. Kesa, N. Jojic, V. Murino, M. Bellani, P. Brambilla, U. Castellani, “Exploiting Feature Embedding for Brain Analysis in Schizophrenia”, Medical Image Computing and Computer-Assisted Intervention MICCAI 2014, Boston, Sept. 2014.

2013

  1. M. San Biagio, M. Crocco, M. Cristani, S. Martelli, V. Murino, “Heterogeneous Auto-Similarities of Characteristics (HASC): Exploiting Relational Information for Classification”, Int’l Conf. on Computer Vision ICCV 2013, Sydney, Australia, Dec. 2013.
  2. D. Figueira, L. Bazzani, H.Q. Minh, M. Cristani, A. Bernardino, V. Murino. “Semi-supervised multi-feature learning for person re-identification”, Int’l Conf. on Advanced Video and Signal-based Surveillance AVSS 2013, Krakov, Poland, Sept. 2013.
  3. P. Salvagnini, L. Bazzani, M. Cristani, V. Murino. “Person re-identification with a PTZ camera: an introductory study”, Int’l Conf. on Image Processing ICIP 2013, Melbourne, Australia, Sept. 2013.
  4. H.Q. Minh, L. Bazzani, V. Murino, “A unifying framework for vector-valued manifold regularization and multi-view learning”, Int’l Conf. on Machine Learning ICML 2013, Atlanta, USA, pp. 100-108, June 2013.
  5. S. Ullo, U. Castellani, D. Sona, A. Del Bue, A. Maccione, L. Berdondini, V. Murino, “Neuronal Network Structural Connectivity Estimation by Probabilistic Features and Graph Heat Kernels”, Int’l Symp. on Biomedical Imaging ISBI 2013, San Francisco, CA, April 2013.
  6. L.Bazzani, M. Cristani, V. Murino, “SDALF: Modeling Human Appearance with Symmetry-Driven Accumulation of Features”, In Person Re-Identification, S. Gong, M. Cristani, S. Yan, C.C. Loy (Eds.), Springer, 2013. Book chapter
  7. R. Raghavendra, M. Cristani, A. Del Bue, E. Sangineto, V. Murino, “Anomaly detection in crowded scenes: a novel framework based on Swarm Optimization and Social Force Modeling”, In Modeling, Simulation and Visual Analysis of Large Crowds, S. Ali, K. Nishino, D. Manocha, and M. Shah (Eds.), Springer, 2013. Book chapter

2012

  1. L. Bazzani, M. Cristani, G. Pagetti, D. Tosato, G. Menegaz, and V. Murino, “Analyzing groups: a social signaling perspective”, In Video Analytics for Business Intelligence, Studies in Computational Intelligence. Shan, C.; Porikli, F.; Xiang, T.; Gong, S. (Eds.), Springer, 2012. Book chapter
  2. L. Bazzani, M. Cristani, V. Murino. Decentralized Particle Filter for Joint Individual-Group Tracking. IEEE Conf. on Computer Vision and Pattern Recognition CVPR 2012, Providence, RI, USA, June 2012.
  3. M. Hà Quang, M. Cristani, A. Perina, V. Murino, “A regularized spectral algorithm for Hidden Markov Models with applications in computer vision”, IEEE Conf. on Computer Vision and Pattern Recognition CVPR 2012, Providence, RI, USA, June 2012.
  4. E. Sangineto, M. Cristani, A. Del Bue, V. Murino, “Learning Discriminative Spatial Relations for Detector Dictionaries: an Application to Pedestrian Detection”, European Conf. on Computer Vision ECCV 2012, Florence, Italy, Oct. 2012.
  5. Zanotto M., Bazzani L., Cristani M., Murino V., “Online Bayesian Nonparametrics for Group Detection”, 23rd British Machine Vision Conference BMVC 2012, Guildford, UK, pp. xxx, 2012.
  6. Crocco M., Del Bue A., Bustreo M. and Murino V., “A Closed Form Solution to the Microphone Position Self-Calibration Problem,” 37th International Conference on Acoustics, Speech, and Signal Processing ICASSP 2012, Kyoto, Japan, March 2012.
  7. Cristani M., Roffo G., Segalin C., Bazzani L., Vinciarelli A., Murino V., “Conversationally-inspired Stylometric Features for Authorship Attribution in Instant Messaging”, ACM Multimedia 2012, Nara, Japan, 2012.
  8. M. San Biagio, M. Crocco, M. Cristani, S. Martelli, V. Murino, "Low-level Multimodal Integration on Riemannian Manifolds for Automatic Pedestrian Detection", 15th International Conference on Information Fusion FUSION 2012, Singapore, July 2012.
  9. S. Ullo, A. Del Bue, A. Maccione, L. Berdondini, V. Murino, "A Joint Structural and Functional Analysis of In-Vitro Neuronal Networks", IEEE Int’l Conf. on Image Processing ICIP 2012, Orlando, USA, Sept. 2012.
  10. Sabzevari R., Del Bue A., Murino V., “Multi-view Photometric Stereo using Semi-isometric Mappings”, 3DimPVT 2012, Zürich, Switzerland, 2012.
  11. Martelli S., Cristani M., Murino V., “Stereo-Based Framework for Pedestrian Detection with Partial Occlusion Handling”, 9th IEEE Int’l Conf. on Advanced Video and Signal-based Surveillance AVSS 2012, Beijing, China, 2012.
  12. Giancardo L., Sona D., Gozzi A., Bifone A., Murino V., Migliarini S., Pacini G., Pelosi B. and Pasqualetti M., “Automatic Tractography Analysis through Sparse Networks in Case-Control Studies”, 2nd Int’l Wks. on Pattern Recognition in NeuroImaging PRNI 2012, London, UK.
  13. A. Ulas, U. Castellani, V. Murino, M. Bellani, M. Tansella, P. Brambilla, “Biomarker evaluation by Multiple Kernel Learning for Schizophrenia Detection”, 2nd Int’l Wks. on Pattern Recognition in NeuroImaging PRNI 2012, London, UK.
  14. Giancardo L., Sona D., Scheggia D., Papaleo F., Murino V., “Segmentation and Tracking of Multiple Interacting Mice by Temperature and Shape Information”, 21st Int’l Conf. on Pattern Recognition ICPR 2012, Tsukuba Science City, Japan, 2012.

2011

  1. Cristani M., Bazzani L., Paggetti G., Fossati A., Tosato D., Del Bue A., Menegaz G. and Murino V., “Social interaction discovery by statistical analysis of F-formations”, 22nd British Machine Vision Conference BMVC 2011, Dundee, UK, Aug. 2011.
  2. Cheng D. S., Cristani M., Stoppa M., Bazzani L. and Murino V., “Custom Pictorial Structures for Re-identification”, 22nd British Machine Vision Conference BMVC 2011, Dundee, UK, Aug. 2011.
  3. Martelli S., Tosato D., Cristani M. and Murino V., “FPGA-Based Pedestrian Detection Using Array of Covariance Features”, ACM/IEEE International Conference on Distributed Smart Cameras ICDSC 2011, Gent, Belgium, Aug. 2011.
  4. Castellani U., Mirtuono P., Murino V., Bellani M., Rambaldelli G., Tansella M. and Brambilla P., “A New Shape Diffusion Descriptor For Brain Classification”, in Lecture Notes in Computer Science 6892 (Medical Image Computing and Computer-Assisted Intervention MICCAI 2011), pp. 426-433, Toronto, Sept. 2011.
  5. M. Bicego, A. D. Favia, P. Bisignano, A. Cavalli, V. Murino: "An innovative protocol for comparing protein binding sites via atomic grid maps", Int’l. Conf. on Knowledge Discovery and Information Retrieval KDIR2011, Paris, Oct. 2011.
  6. Ulas A., Castellani U., Murino V., Bellani M., Tansella M., Brambilla P., “Heat Diffusion Based Dissimilarity Analysis for Schizophrenia Classification”, 6th IAPR Int. Conf. on Pattern Recognition in Bioinformatics PRIB 2011, Delft, 2011.
  7. M.Cristani, G.Paggetti, A. Vinciarelli, L.Bazzani, G.Menegaz, V.Murino, Towards Computational Proxemics: Inferring Social Relations from Interpersonal Distances, SOCIALCOM 2011, Boston, October 2011.
  8. M.Cristani, A. Pesarin, A.Vinciarelli, M.Crocco, V.Murino, Look at Who's Talking, Workshop of Interactive Human Behavior Analysis in Open or Public Spaces INTERHUB 2011, Amsterdam, November 2011
  9. R. Raghavendra, A. Del Bue, M. Cristani and V. Murino, Abnormal Crowd Behavior Detection by Social Force Optimization, Int’l. Workshop on Human Behavior Understanding HBU 2011, Amsterdam, November 2011
  10. R. Raghavendra, A. Del Bue, M. Cristani and V. Murino, Optimizing Interaction Force for Global Anomaly Detection in Crowded Scenes, 1st IEEE Workshop on Modeling, Simulation and Visual Analysis of Large Crowds, Barcellona, November 2011
  11. N. Jojic, A. Perina, V.Murino, "Structural Epitome: A way to summarize one's visual experience”, Neural Information Processing Systems NIPS 2010, Vancouver, Canada, Dec. 2010.
  12. M.Cristani, A.Pesarin, C.Drioli, A.Rodà, M. Grapulin, V.Murino, N.Sebe. “Toward an Automatically Generated Soundtrack from Low-level Cross-modal Correlations for Automotive Scenarios”, ACM Multimedia conference 2010, Florence, Oct. 2010. Full paper

2010

  1. D. Tosato, M. Farenzena, M.Cristani, V. Murino “Part-based human detection on Riemannian manifolds”, IEEE Int’l Conf. on Image Processing ICIP 2010, Hong Kong, Sept. 2010.
  2. L. Bazzani, M. Cristani, V. Murino, “Collaborative particle filters for group tracking”,  IEEE Int’l Conf. on Image Processing ICIP 2010, Hong Kong, Sept. 2010.
  3. U.Castellani, A.Perina, V.Murino, M.Bellani, G.Rambaldelli, M.Tansella, P.Brambilla, “Brain morphometry by probabilistic Latent Semantic Analysis”, 13th International Conference on Medical Image Computing and Computer Assisted Intervention MICCAI 2010, Beijing, China, Sept. 2010.
  4. A.Perina, P.Lovato, V. Murino, M. Bicego, “Biologically-aware Latent Dirichlet Allocation (BaLDA) for the classi¯cation of expression Microarray”, 5th IAPR Int’l Conf on Pattern Recognition in Bioinformatics PRIB 2010, Nijmegen, The Netherlands, Sept. 2010.
  5. A.Perina, N.Jojic, U.Castellani, M.Cristani, V.Murino, “Object Recognition with Hierarchical Stel Models”, 11th European Conf. on Computer Vision ECCV 2010, Hersonissos (Heraklion), Crete, Greece, Sept. 2010. Oral presentation (3,2% acceptance rate for orals)
  6. D.Tosato, M. Farenzena, M. Spera, V.Murino, M.Cristani, “Multi-class Classification on Riemannian Manifolds for Video Surveillance”, 11th European Conf. on Computer Vision ECCV 2010, Hersonissos (Heraklion), Crete, Greece, Sept. 2010. Oral presentation (3,2% acceptance rate for orals)
  7. S. Martelli, D. Tosato, M. Farenzena, M. Cristani, V. Murino, “An FPGA-based Classification Architecture on Riemannian Manifolds”, DEXA Workshop on Interactive Multimodal Pattern Recognition in Embedded SystemS, Bilbao, Sept. 2010. Best conference paper
  8. A. Pesarin, P. Calanca, V. Murino, M. Cristani, “A generative score space for statistical dialog characterization in social signaling”, Int’l Workshop on Structural and Syntactic Pattern Recognition and Statistical Techniques in Pattern Recognition S+SSPR 2010, Cesme, Turkey, August 2010.
  9. A. Martins, M. Bicego, V. Murino, P. Aguiar, M. Figueiredo, "Information theoretical kernels for generative embeddings based on Hidden Markov Models", Int’l Workshop on Structural and Syntactic Pattern Recognition and Statistical Techniques in Pattern Recognition S+SSPR 2010, Cesme, Turkey, August 2010.
  10. L. Bazzani, M. Cristani, M. Farenzena, A. Perina, V.Murino, “Multiple-shot person re-identification by HPE signature”, Int’l Conf. on Pattern Recognition ICPR 2010, Istanbul, Turkey, August 2010. IBM Best Student Paper Award (Track: Computer Vision)
  11. D. Tosato, M. Farenzena, M. Cristani, V. Murino, “A re-evaluation of pedestrian detection on Riemannian manifolds”, Int’l Conf. on Pattern Recognition ICPR 2010, Istanbul, Turkey, August 2010.
  12. A. Perina, M. Cristani, V. Murino, “2LDA: segmentation for recognition”, Int’l Conf. on Pattern Recognition ICPR 2010, Istanbul, Turkey, August 2010.
  13. M. Bicego, A. Martins, V. Murino, P. Aguiar, M. Figueiredo, "2D shape recognition using information theoretic kernels", Int’l Conf. on Pattern Recognition ICPR 2010, Istanbul, Turkey, August 2010.
  14. A. Carli, M. Bicego, S. Baldo, V. Murino, "Nonlinear mappings for generative kernels on latent variable models", Int’l Conf. on Pattern Recognition ICPR 2010, Istanbul, Turkey, August 2010.
  15. M. Cristani, V.Murino, A. Vinciarelli, “Socially intelligent surveillance and monitoring: analysing social dimensions of physical space”, 1st Int’l Workshop on Socially Intelligent Surveillance and Monitoring SISM 2010, San Francisco, USA, June 2010.
  16. M. Farenzena, L. Bazzani, A. Perina, M. Cristani, V. Murino, “Person re-identification by symmetry-driven accumulation of local features”, IEEE Conference on Computer Vision and Pattern Recognition CVPR 2010, San Francisco, USA, June 2010.

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I numeri di IIT

L’Istituto Italiano di Tecnologia (IIT) è una fondazione di diritto privato - cfr. determinazione Corte dei Conti 23/2015 “IIT è una fondazione da inquadrare fra gli organismi di diritto pubblico con la scelta di un modello di organizzazione di diritto privato per rispondere all’esigenza di assicurare procedure più snelle nella selezione non solo nell’ambito nazionale dei collaboratori, scienziati e ricercatori ”.

IIT è sotto la vigilanza del Ministero dell'Istruzione, dell'Università e della Ricerca e del Ministero dell'Economia e delle Finanze ed è stato istituito con la Legge 326/2003. La Fondazione ha l'obiettivo di promuovere l'eccellenza nella ricerca di base e in quella applicata e di favorire lo sviluppo del sistema economico nazionale. La costruzione dei laboratori iniziata nel 2006 si è conclusa nel 2009.

Lo staff complessivo di IIT conta circa 1440 persone. L’area scientifica è rappresentata da circa l’85% del personale. Il 45% dei ricercatori proviene dall’estero: di questi, il 29% è costituito da stranieri provenienti da oltre 50 Paesi e il 16% da italiani rientrati. Oggi il personale scientifico è composto da circa 60 principal investigators, circa 110 ricercatori e tecnologi di staff, circa 350 post doc, circa 500 studenti di dottorato e borsisti, circa 130 tecnici. Oltre 330 posti su 1400 creati su fondi esterni. Età media 34 anni. 41% donne / 59 % uomini.

Nel 2015 IIT ha ricevuto finanziamenti pubblici per circa 96 milioni di euro (80% del budget), conseguendo fondi esterni per 22 milioni di euro (20% budget) provenienti da 18 progetti europei17 finanziamenti da istituzioni nazionali e internazionali, circa 60 progetti industriali

La produzione di IIT ad oggi vanta circa 6990 pubblicazioni, oltre 130 finanziamenti Europei e 11 ERC, più di 350 domande di brevetto attive, oltre 12 start up costituite e altrettante in fase di lancio. Dal 2009 l’attività scientifica è stata ulteriormente rafforzata con la creazione di dieci centri di ricerca nel territorio nazionale (a Torino, Milano, Trento, Parma, Roma, Pisa, Napoli, Lecce, Ferrara) e internazionale (MIT ed Harvard negli USA) che, unitamente al Laboratorio Centrale di Genova, sviluppano i programmi di ricerca del piano scientifico 2015-2017.

IIT: the numbers

Istituto Italiano di Tecnologia (IIT) is a public research institute that adopts the organizational model of a private law foundation. IIT is overseen by Ministero dell'Istruzione, dell'Università e della Ricerca and Ministero dell'Economia e delle Finanze (the Italian Ministries of Education, Economy and Finance).  The Institute was set up according to Italian law 326/2003 with the objective of promoting excellence in basic and applied research andfostering Italy’s economic development. Construction of the Laboratories started in 2006 and finished in 2009.

IIT has an overall staff of about 1,440 people. The scientific staff covers about 85% of the total. Out of 45% of researchers coming from abroad 29% are foreigners coming from more than 50 countries and 16% are returned Italians. The scientific staff currently consists of approximately 60 Principal Investigators110 researchers and technologists350 post-docs and 500 PhD students and grant holders and 130 technicians. External funding has allowed the creation of more than 330 positions . The average age is 34 and the gender balance proportion  is 41% female against 59% male.

In 2015 IIT received 96 million euros in public funding (accounting for 80% of its budget) and obtained 22 million euros in external funding (accounting for 20% of its budget). External funding comes from 18 European Projects, other 17 national and international competitive projects and approximately 60 industrial projects.

So far IIT accounts for: about 6990 publications, more than 130 European grants and 11 ERC grants, more than 350 patents or patent applications12 up start-ups and as many  which are about to be launched. The Institute’s scientific activity has been further strengthened since 2009 with the establishment of 11 research nodes throughout Italy (Torino, Milano, Trento, Parma, Roma, Pisa, Napoli, Lecce, Ferrara) and abroad (MIT and Harvard University, USA), which, along with the Genoa-based Central Lab, implement the research programs included in the 2015-2017 Strategic Plan.