Welcome

The core expertise of the iBUG group is the machine analysis of human behaviour in space and time including face analysis, body gesture analysis, visual, audio, and multimodal analysis of human behaviour, and biometrics analysis. Application areas in which the group is working are face analysis, body gesture analysis, audio and visual human behaviour analysis, biometrics and behaviometrics, and HCI.

Latest News

Qualcomm innovation fellowship awarded to iBug members

posted 02 Apr 2014, 18:23

Mr. Patrick Snape and Dr. Stefanos Zafeiriou have been awarded the prestigious Qualcomm innovation fellowship.

Intel Doctoral Student Honor Programme awarded to iBUG member

posted 27 Aug 2013, 15:01

Mr Stephan Liwicki was awarded the prestigious Intel Doctoral Student Honor Programme (https://intelfellowships.com/eu/).

ICCV 2013 Automatic Facial Landmark Detection in-the-Wild Challenge (300-W 2013)

posted 01 Jul 2013, 18:37

The first Automatic Facial Landmark Detection in-the-Wild Challenge (300-W 2013) to be held in conjunction with International Conference on Computer Vision 2013, Sydney, Australia.

See the Challenge website for more information.

Qualcomm innovation fellowship awarded to iBug members

posted 07 May 2013, 18:55

Mr. Joan Alabort-i-Medina and Dr. Stefanos Zafeiriou have been awarded the prestigious Qualcomm innovation fellowship.

New Audiovisual Laughter Database

posted 01 Dec 2011, 17:09

The MAHNOB laughter audiovisual database is now publicly available here: 

http://mahnob-db.eu/laughter/

Latest Publications

Optimal UV Spaces for Facial Morphable Model Construction

Proceedings of IEEE International Conference on Image Processing (ICIP 2014). .

Bibtex reference [hide]
@inproceedings{james_uv,
    booktitle = {Proceedings of IEEE International Conference on Image Processing (ICIP 2014)},
    title = { Optimal UV Spaces for Facial Morphable Model Construction},
}
Endnote reference [hide]
%0 Conference Proceedings
%T Optimal UV Spaces for Facial Morphable Model Construction
%B Proceedings of IEEE International Conference on Image Processing (ICIP 2014)
%F james_uv

A Unified Framework for Probabilistic Component Analysis

M. A. Nicolaou, S. Zafeiriou, M. Pantic. European Conf. Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD’14), Nancy, France. .

Bibtex reference [hide]
@inproceedings{MIHALISAN_ECML2014,
    author = {M. A. Nicolaou and S. Zafeiriou and M. Pantic},
    booktitle = {European Conf. Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD’14), Nancy, France},
    title = {A Unified Framework for Probabilistic Component Analysis},
}
Endnote reference [hide]
%0 Conference Proceedings
%T A Unified Framework for Probabilistic Component Analysis
%A Nicolaou, M. A.
%A Zafeiriou, S.
%A Pantic, M.
%B European Conf. Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD’14), Nancy, France
%F MIHALISAN_ECML2014

Fast Newton Active Appearance Models

J. Kossaifi, G. Tzimiropoulos, M. Pantic. IEEE International Conference on Image Processing (ICIP). 2014.

Bibtex reference [hide]
@inproceedings{Kossaifi_Tzimiro_PANTIC_ICIP_2014,
    author = {J. Kossaifi and G. Tzimiropoulos and M. Pantic},
    booktitle = {IEEE International Conference on Image Processing (ICIP)},
    title = {Fast Newton Active Appearance Models},
    year = {2014},
}
Endnote reference [hide]
%0 Conference Proceedings
%T Fast Newton Active Appearance Models
%A Kossaifi, J.
%A Tzimiropoulos, G.
%A Pantic, M.
%B IEEE International Conference on Image Processing (ICIP)
%D 2014
%F Kossaifi_Tzimiro_PANTIC_ICIP_2014