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

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

IBUG Chair interview for CBS 60 minutes, on 9 Oct 2016

posted 09 Oct 2016, 15:49

The interview of Prof. Maja Pantic can be found here

IBUG Chair giving a TEDx Talk at the European Commission's Digital Assembly 2016, on 29 Sept 2016

posted 29 Sep 2016, 15:24

The talk by Prof. Maja Pantic can be found here.

Latest Publications

Video-Driven Speech Reconstruction using Generative Adversarial Networks

K. Vougioukas, P. Ma, S. Petridis, M. Pantic. Interspeech. September 2019.

Bibtex reference [hide]
@inproceedings{interspeech_videoDrivenSpeechRecWithGANs,
    author = {K. Vougioukas and P. Ma and S. Petridis and M. Pantic},
    booktitle = {Interspeech},
    month = {September},
    title = {Video-Driven Speech Reconstruction using Generative Adversarial Networks},
    year = {2019},
}
Endnote reference [hide]

Investigating the Lombard Effect Influence on End-to-End Audio-Visual Speech Recognition

P. Ma, S. Petridis, M. Pantic. Interspeech. September 2019.

Bibtex reference [hide]
@inproceedings{AV_lombard,
    author = {P. Ma and S. Petridis and M. Pantic},
    booktitle = {Interspeech},
    month = {September},
    title = {Investigating the Lombard Effect Influence on End-to-End Audio-Visual Speech Recognition},
    year = {2019},
}
Endnote reference [hide]

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]

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