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

Launch of Imperial spin-out FaceSoft

posted 18 Jun 2018, 22:05

Dr. Zafeiriou and his team have launched FaceSoft an Imperial College start-up that revolutionises how faces are synthesised and used in various applications (e.g., face recognition/verification etc.). We are looking for experienced software engineers. Please send your cv to s.zafeiriou@imperial.ac.uk.

Best student paper award in FG 2018

posted 08 Jun 2018, 23:26

Our paper "Deep & Deformable: Convolutional Mixtures of Deformable Part-based Models", Kritaphat Songsri-In, George Trigeorgis and Stefanos Zafeiriou has won the best student paper award in FG 2018.

Tensor and Matrix Factorisation Workshop in ICCV 2017

posted 10 Jul 2017, 02:11

We are organising a workshop on Tensor and Matrix Factorisation in conjunction with ICCV 2017. For more details please for visit the workshop's webpage.

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

posted 15 Jun 2017, 23:43

We are organising the first 3D face in-the-wild tracking competition. For more details please visit the workshop's webpage. The train and test data are now available.

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.

Latest Publications

T-Net: Parametrizing Fully Convolutional Nets with a Single High-Order Tensor

J. Kossaifi, A. Bulat, G. Tzimiropoulos, M. Pantic. IEEE CVPR. 2019.

Bibtex reference [hide]
@inproceedings{kossaifi2019tnet,
    author = {J. Kossaifi and A. Bulat and G. Tzimiropoulos and M. Pantic},
    booktitle = {IEEE CVPR},
    title = {T-Net: Parametrizing Fully Convolutional Nets with a Single High-Order Tensor},
    year = {2019},
}
Endnote reference [hide]

Disentangling Geometry and Appearance with Regularised Geometry-Aware Generative Adversarial Networks

L. Tran, J. Kossaifi, Y. Panagakis, M. Pantic. International Journal of Computer Vision (IJCV). 2019.

Bibtex reference [hide]
@article{GAGAN-IJCV,
    author = {L. Tran and J. Kossaifi and Y. Panagakis and M. Pantic},
    journal = {International Journal of Computer Vision (IJCV)},
    title = {Disentangling Geometry and Appearance with Regularised Geometry-Aware Generative Adversarial Networks},
    year = {2019},
}
Endnote reference [hide]

Robust Kronecker Component Analysis

M. Bahri, Y. Panagakis, S. Zafeiriou. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2019.

Bibtex reference [hide]
@article{mehdi2019,
    author = {M. Bahri and Y. Panagakis and S. Zafeiriou},
    journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
    title = {Robust Kronecker Component Analysis},
    year = {2019},
}
Endnote reference [hide]