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Publications

Introduction to Sequence Analysis for Human Behavior Understanding

2011
H. Salamin and A. Vinciarelli, "Introduction to Sequence Analysis for Human Behavior Understanding." Springer Verlag, 2011, pp. 21-40. full entrydownload ]

Language-Independent Socio-Emotional Role Recognition in the AMI Meetings Corpus

2011
F. Valente and A. Vinciarelli, "Language-Independent Socio-Emotional Role Recognition in the AMI Meetings Corpus," in Proceedings of Interspeech, 2011. full entrydownload ]

Understanding Social Signals in Multi-party Conversations: Automatic Recognition of Socio-Emotional Roles in the AMI Meeting Corpus

2011
F. Valente, A. Vinciarelli, S. H. Yella, and A. Sapru, "Understanding Social Signals in Multi-party Conversations: Automatic Recognition of Socio-Emotional Roles in the AMI Meeting Corpus," in Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 2011, pp. 374-379. full entrydownload ]

Automatic Role Recognition in Multiparty Conversations: an Approach Based on Turn Organization, Prosody and Conditional Random Fields

2012
H. Salamin and A. Vinciarelli, "Automatic Role Recognition in Multiparty Conversations: an Approach Based on Turn Organization, Prosody and Conditional Random Fields," IEEE Transactions on Multimedia, vol. 13, iss. 2, pp. 338-345, 2012. full entrydownload ]

Bridging the Gap Between Social Animal and Unsocial Machine: A Survey of Social Signal Processing

2012
A. Vinciarelli, M. Pantic, D. Heylen, C. Pelachaud, I. Poggi, and F. DÉrrico, "Bridging the Gap Between Social Animal and Unsocial Machine: A Survey of Social Signal Processing," IEEE Transactions on Affective Computing, vol. 3, iss. 1, pp. 69-87, 2012. full entrydownload ]

Towards Computational Proxemics: Inferring Social Relations from Interpersonal Distances

2011
M. Cristani, G. Paggetti, A. Vinciarelli, L. Bazzani, G. Menegaz, and V. Murino, "Towards Computational Proxemics: Inferring Social Relations from Interpersonal Distances," in Proceedings of IEEE International Conference on Social Computing, 2011, pp. 290-297. full entrydownload ]

Look at who’s talking

2011
M. Cristani, A. Pesarin, A. Vinciarelli, M. Crocco, and V. Murino, "Look at who’s talking," in Proceedings of Interhub, 2011. full entrydownload ]

iBUG Gesture Detector

The iBUG Gesture Detector detects a number of hand gestures on frame-level. Detection is performed in both spatial and temporal domains. In the spatial domain the detector returns an estimate of t...

Hidden-Unit Conditional Random Fields

The hidden-unit conditional random field (CRF) is a model for structured prediction that is more powerful than standard linear CRFs. The additional modeling power of hidden-unit CRFs stems from its b...

The detection of concept frames using Clustering Multi-Instance Learning

2010
D. Tax, E. Hendriks, M. Valstar, and M. Pantic, "The detection of concept frames using Clustering Multi-Instance Learning," in Proceedings of International Conference on Pattern Recognition, 2010, pp. 2917-2921. full entrydownload ]

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