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

ICCV-2021: 2nd Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW)

posted 05 May 2021, 13:37

We are organizing a Workshop and a Competition at International Conference on Computer Vision (ICCV) 2021. The competition is split into 3 Challenges-Tracks: i) valence-arousal estimation, ii) 7 basic expression classification, iii) 17 action units detection. The Competition is based on Aff-Wild2 that is annotated for all these behavior tasks. More details can be found here. The competition has started!

FG-2020 Competition: Affective Behavior Analysis in-the-wild Challenge

posted 24 Nov 2019, 22:09

We are organizing a Competition at IEEE International Conference on Automatic Face and Gesture Recognition (FG) 2020. This competition is split into 3 Challenges-Tracks: i) valence-arousal estimation, ii) 7 basic expression classification, iii) 8 action units detection. The Competition is for the first time based on one database annotated for all these behavior tasks. More details can be found here. The competition has started!

Lightweight Face Recognition Challenge & Workshop (ICCV 2019)

posted 09 May 2019, 14:32

We are organising the lightweight face recognition competition. For more details please visit the workshop's webpage. The train and test data are now available.

ITV News report on the DE-ENIGMA project

posted 17 Feb 2017, 11:00

The clip from the report can be found here

IBUG Chair interview for ITV News at 22:00 (aired on 21-DEC-16)

posted 11 Jan 2017, 15:49

The interview of Prof. Maja Pantic can be found here

Latest Publications

Deep Neural Network Augmentation: Generating Faces for Affect Analysis

D. Kollias, S. Cheng, E. Ververas, I. Kotsia, S. Zafeiriou. International Journal of Computer Vision. 2020.

Bibtex reference [hide]
@article{s11263-020-01304-3,
    author = {I. Kotsia and S. Zafeiriou and S. Cheng and E. Ververas and D. Kollias},
    journal = {International Journal of Computer Vision},
    title = {Deep Neural Network Augmentation: Generating Faces for Affect Analysis},
    year = {2020},
}
Endnote reference [hide]

Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace

D. Kollias, S. Zafeiriou. British Machine Vision Conference, Cardiff. September 2019.

Bibtex reference [hide]
@inproceedings{kolliasexpression,
    author = {D. Kollias and S. Zafeiriou},
    booktitle = {British Machine Vision Conference, Cardiff},
    month = {September},
    title = {Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace},
    year = {2019},
}
Endnote reference [hide]

Realistic Speech-Driven Facial Animation with GANs

K. Vougioukas, S. Petridis, M. Pantic. International Journal of Computer Vision. 2019.

Bibtex reference [hide]
@article{speechDrivenFacialAnimation_IJCV,
    author = {K. Vougioukas and S. Petridis and M. Pantic},
    journal = {International Journal of Computer Vision},
    title = {Realistic Speech-Driven Facial Animation with GANs},
    year = {2019},
}
Endnote reference [hide]