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

We organising the first 3D face landmark tracking "in-the-wild" competition in ICCV 2017

posted 15 Jun 2017, 23:43

We organising the first 3D face in-the-wild tracking competition. For more details please visit the workshops webpage.

Today we were at the front page of Imperial

posted 02 Jun 2017, 20:51

Imperial is covering our recent research on 3D face reconstruction press here.

Lip-reading Workshop at BMVC

posted 23 May 2017, 18:28

We organise a workshop on Lip-reading using deep learning methods at BMVC 2017.  Authors can submit either regular papers or extended abstracts. For more details visit the workshop page.

We are in the Science Museum collecting 4D faces. Come and visit us !!!!!

posted 20 May 2017, 20:00

Stefanos and his team are in the Science Museum until 2 of July (Life Science, gallery, Who am I?). We are in the museum every day except for Tuesdays and Wednesdays. We are doing large scale collection of 4D sequences of faces in various expressions. The data collection is kindly sponsored by 3DMD. For more details visit our page.

Science Covering our 3DMM

posted 02 May 2017, 13:25

Science is covering the large scale 3DMM developed by James Booth, Anastasios Roussos, Allan Ponniah, David Dunaway and Stefanos Zafeiriou. Please read the article.

Latest Publications

Deep Structured Learning for Facial Expression Intensity Estimation

editors: R. Walecki, O. Rudovic, V. Pavlovic, B. Schuller, M. Pantic. .

Bibtex reference [hide]
@article{walecki2017_deep_copula,
    editor = {R. Walecki and O. Rudovic and V. Pavlovic and B. Schuller and M. Pantic},
    title = {Deep Structured Learning for Facial Expression Intensity Estimation},
}
Endnote reference [hide]

A Joint Discriminative Generative Model for Deformable Model Construction and Classification

I. Marras, S. Nikitidis, S. Zafeiriou, M. Pantic. IEEE Face and Gesture Recognition 2017. May .

Bibtex reference [hide]
@conference{Marras2017,
    booktitle = {IEEE Face and Gesture Recognition 2017},
    month = {May},
    title = {A Joint Discriminative Generative Model for Deformable Model Construction and Classification},
}
Endnote reference [hide]

Deep Canonical Time Warping for simultaneous alignment and representation learning of sequences

G. Trigeorgis, M. A. Nicolaou, B. Schuller, S. Zafeiriou. IEEE transactions on Pattern Analysis and Machine Intelligence. 2017.

Bibtex reference [hide]
@article{trigeorgis_2017_dctw,
    author = {G. Trigeorgis and M. A. Nicolaou and B. Schuller and S. Zafeiriou},
    journal = {IEEE transactions on Pattern Analysis and Machine Intelligence},
    title = {Deep Canonical Time Warping for simultaneous alignment and representation learning of sequences},
    year = {2017},
}
Endnote reference [hide]