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

The SEWA Database has been released.

posted 23 May 2016, 11:18

The SEWA DB, which is the largest and the richest database of human conversational and emotional behaviour that has been released so far, is now available. For more info, check the Resources page. 

IBUG Chair speaking in The Royal Society.

posted 12 Apr 2016, 11:08

Prof. Maja Pantic speaking in the Royal Society on How Computers Got Smart

TWO new PhD positions available in the group

posted 14 Mar 2016, 10:36

Two new funded PhD fellowships are now available in the group. For more information and how to apply see the Vacancies. 

IBUG Chair speaking at Nature Magazine's Ideas Lab.

posted 15 Feb 2016, 22:01

Prof. Maja Pantic speaking at Nature Magazine's Ideas Lab at World Economic Forum in Davos, January 2016.

IBUG Chair interview for France24.

posted 09 Feb 2016, 00:00

Prof. Maja Pantic spoke of Emotional Robots and Future of AI in an interview for France24 (video minutes 06:23 to 09:30). 

Latest Publications

Facial Affect ``in-the-wild": A survey and a new database

S. Zafeiriou, A. Papaioannou, I. Kotsia, M. A. Nicolaou, G. Zhao. International Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Affect "in-the-wild" Workshop. June 2016.

Bibtex reference [hide]
@inproceedings{zafeiriou_in_the_wild_2016,
    booktitle = {International Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Affect "in-the-wild" Workshop},
    month = {June},
    title = {Facial Affect ``in-the-wild": A survey and a new database},
    year = {2016},
}
Endnote reference [hide]

A Unified Framework for Compositional Fitting of Active Appearance Models

J. Alabort-i-medina, S. Zafeiriou. International Journal of Computer Vision. 2016.

Bibtex reference [hide]
@article{alabortIJCV2016,
    editor = {J. Alabort-i-medina and M. Pantic},
    journal = {International Journal of Computer Vision},
    title = {A Unified Framework for Compositional Fitting of Active Appearance Models},
    year = {2016},
}
Endnote reference [hide]

Adaptive Cascaded Regression

E. Antonakos, P. Snape, G. Trigeorgis, S. Zafeiriou. Proceedings of IEEE International Conference on Image Processing (ICIP'16). Phoenix, AZ, USA, September 2016.

Bibtex reference [hide]
@inproceedings{antonakos2016adaptive,
    author = {E. Antonakos and P. Snape and G. Trigeorgis and S. Zafeiriou},
    address = {Phoenix, AZ, USA},
    booktitle = {Proceedings of IEEE International Conference on Image Processing (ICIP'16)},
    month = {September},
    title = {Adaptive Cascaded Regression},
    year = {2016},
}
Endnote reference [hide]