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

IBUG Chair interview for France24.

posted 09 Feb 2016, 00:00

Prof. Maja Pantic spoke of Emotional Robots and Future of AI in an interview for France24 (video minutes 06:23 to 09:30). 

IBUG Chair speaking at World Economic Forum in Davos on Emotional AI.

posted 24 Jan 2016, 00:00

Prof. Maja Pantic spoke of Emotional AI at World Economic Forum in Davos.

Qualcomm Innovation Fellowship awarded to iBug members

posted 03 Sep 2015, 16:05

Mr James Booth supervised by Dr Stefanos Zafeirou has been awarded a prestigious Qualcomm Innovation Fellowship for 2015. James was selected as the overall European Champion, and will travel to Qualcomm's headquarters in San Diego this September to meet with the Qualcomm engineers and fellow U.S. prize winners.

ICCV 2015 Facial Landmark Tracking in-the-Wild Challenge & Workshop (300-VW)

posted 16 Jul 2015, 20:47

The 300 Videos Facial Landmark Tracking in-the-Wild Challenge & Workshop (300-VW) to be held in conjunction with International Conference on Computer Vision (ICCV) 2015, Santiago, Chile. 

See the Challenge website for more information.

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.

Latest Publications

Robust Correlated and Individual Component Analysis

Y. Panagakis, M. A. Nicolaou, S. Zafeiriou, M. Pantic. IEEE Transactions on Pattern Analysis and Machine Intelligence, Special Issue in Multimodal Pose Estimation and Behaviour Analysis, (accepted). .

Bibtex reference [hide]
@article{RCICA,
    author = {Y. Panagakis and M. A. Nicolaou and S. Zafeiriou and M. Pantic},
    booktitle = { IEEE Transactions on Pattern Analysis and Machine Intelligence, Special Issue in Multimodal Pose Estimation and Behaviour Analysis, (accepted),},
    journal = { IEEE Transactions on Pattern Analysis and Machine Intelligence, Special Issue in Multimodal Pose Estimation and Behaviour Analysis, (accepted)},
    title = {Robust Correlated and Individual Component Analysis},
}
Endnote reference [hide]
%0 Journal Article
%T Robust Correlated and Individual Component Analysis
%A Panagakis, Y.
%A Nicolaou, M. A.
%A Zafeiriou, S.
%A Pantic, M.
%J IEEE Transactions on Pattern Analysis and Machine Intelligence, Special Issue in Multimodal Pose Estimation and Behaviour Analysis, (accepted)
%F RCICA

300 faces In-the-wild challenge: Database and results

C. Sagonas, E. Antonakos, G. Tzimiropoulos, S. Zafeiriou, M. Pantic. Image and Vision Computing, Special Issue on Facial Landmark Localisation "in-the-wild". 2016.

Bibtex reference [hide]
@article{300wSagonas,
    journal = {Image and Vision Computing, Special Issue on Facial Landmark Localisation "in-the-wild"},
    title = {300 faces In-the-wild challenge: Database and results},
    year = {2016},
}
Endnote reference [hide]

Adieu Features? End-to- End Speech Emotion Recognition using a Deep Convolutional Recurrent Network

G. Trigeorgis, F. Ringeval, R. B. , E. Marchi, M. Nicoalou a., B. Schuller, S. Zafeiriou. ICASSP. march 2016.

Bibtex reference [hide]
@inproceedings{trigeorgis_icassp16,
    author = {G. Trigeorgis and F. Ringeval and R. B. and E. Marchi and M. Nicoalou a. and B. Schuller and S. Zafeiriou},
    booktitle = {ICASSP},
    month = {march},
    title = {Adieu Features? End-to- End Speech Emotion Recognition using a Deep Convolutional Recurrent Network},
    year = {2016},
}
Endnote reference [hide]