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

Facial Expression Recognition and Analysis Challenge 2015

posted 28 Apr 2015, 17:58

The Facial Expression Recognition and Analysis Challenge 2015 Workshop to be held in conjunction with Automatic Face and Gesture Recognition 2015 in Ljubljana, Slovenia. The FERA 2015 workshop and challenge has been generously supported by Horizon 2020 SEWA project

See the Challenge website for more details.

IBUG Chair speaking at Royal Academy

posted 27 Mar 2015, 09:00

Prof. Maja Pantic spoke of iBUG research at Royal Academy Event.

IMAVIS 2014 Automatic Facial Landmark Detection In-The-Wild Challenge (300-W 2014)

posted 06 Oct 2014, 17:21

The Automatic Facial Landmark Detection in-the-Wild Challenge (300-W 2014) to be held for a second year for a special issue in Elsevier Image and Vision Computing Journal.

See the Challenge website for more details.

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/).

Latest Publications

A Survey on Face Detection in the wild: past, present and future

S. Zafeiriou, C. Zhang, Z. Zhang. Computer Vision and Image Understanding, in-press. 2016.

Bibtex reference [hide]
@article{face_detection_2015,
    author = {S. Zafeiriou and C. Zhang and Z. Zhang},
    journal = {Computer Vision and Image Understanding, in-press},
    title = {A Survey on Face Detection in the wild: past, present and future },
    year = {2016},
}
Endnote reference [hide]
%0 Journal Article
%T A Survey on Face Detection in the wild: past, present and future
%A Zafeiriou, S.
%A Zhang, C.
%A Zhang, Z.
%J Computer Vision and Image Understanding, in-press
%D 2016
%F face_detection_2015

Feature-Based Lucas-Kanade and Active Appearance Models

E. Antonakos, J. Alabort-i-medina, G. Tzimiropoulos, S. Zafeiriou. IEEE Transactions on Image Processing. Accepted for publication. 2016.

Bibtex reference [hide]
@article{antonakos2015feature,
    author = {E. Antonakos and J. Alabort-i-medina and G. Tzimiropoulos and S. Zafeiriou},
    journal = {IEEE Transactions on Image Processing},
    note = {Accepted for publication},
    publisher = {IEEE},
    title = {Feature-Based Lucas-Kanade and Active Appearance Models},
    year = {2016},
}
Endnote reference [hide]
%0 Journal Article
%T Feature-Based Lucas-Kanade and Active Appearance Models
%A Antonakos, E.
%A Alabort-i-medina, J.
%A Tzimiropoulos, G.
%A Zafeiriou, S.
%J IEEE Transactions on Image Processing
%D 2016
%I IEEE
%F antonakos2015feature
%O Accepted for publication

Fast and exact Bi-directional Fitting of Active Appearance Models

J. Kossaifi, G. Tzimiropoulos, M. Pantic. IEEE ICIP (accepted). 2015.

Bibtex reference [hide]
@inproceedings{kossaifi_bidirectional,
    author = {J. Kossaifi and G. Tzimiropoulos and M. Pantic},
    booktitle = {IEEE ICIP (accepted)},
    title = {Fast and exact Bi-directional Fitting of Active Appearance Models},
    year = {2015},
}
Endnote reference [hide]
%0 Conference Proceedings
%T Fast and exact Bi-directional Fitting of Active Appearance Models
%A Kossaifi, J.
%A Tzimiropoulos, G.
%A Pantic, M.
%B IEEE ICIP (accepted)
%D 2015
%F kossaifi_bidirectional