Dr. Stefanos Eleftheriadis

Position:

Past Member

Email:

Biography

Stefanos Eleftheriadis was born in Thessaloniki, Greece. He received his Diploma in Engineering from Aristotle University of Thessaloniki in 2011. From 2009 to 2011 he developed with his colleagues a Pain Management system and took part in Microsoft's Imagine Cup competition, achieving honorable distinctions (both national and worldwide).

Currently, he is Research Assistant / PhD student at the Computing Department of Imperial College London, U.K., working in the ibug group under Prof. Maja Pantic's supervision. His research interests lie in the area of Machine Learning, Computer Vision and Digital Signal Processing with applications in Affective Computing and HCI.

Research Themes:

Face analysis:
Affect analysis, Head-pose invariant affect analysis

Audiovisual human behaviour analysis:
Affect analysis

Projects:

h2020-de-enigma, 4D-FAB, TERESA, MAHNOB

Publications

Journal articles

Gaussian Process Domain Experts for Modeling of Facial Affect

S. Eleftheriadis, O. Rudovic, M. P. Deisenroth, M. Pantic. IEEE Transactions on Image Processing. 26(10): pp. 4697 - 4711, 2017.

[pdf] [bibtex] [endnote]

@article{eleftheriadis2017gaussian,
    author = {S. Eleftheriadis and O. Rudovic and M. P. Deisenroth and M. Pantic},
    pages = {4697--4711},
    journal = {IEEE Transactions on Image Processing},
    number = {10},
    publisher = {IEEE},
    title = {Gaussian Process Domain Experts for Modeling of Facial Affect},
    volume = {26},
    year = {2017},
}

Gaussian Process Domain Experts for Modeling of Facial Affect

S. Eleftheriadis, O. Rudovic, M. P. Deisenroth, M. Pantic. IEEE Transactions on Image Processing. 26(10): pp. 4697 - 4711, 2017.

[pdf] [bibtex] [endnote]

@article{ele_tip3,
    author = {S. Eleftheriadis and O. Rudovic and M. P. Deisenroth and M. Pantic},
    pages = {4697--4711},
    journal = {IEEE Transactions on Image Processing},
    number = {10},
    title = {Gaussian Process Domain Experts for Modeling of Facial Affect},
    volume = {26},
    year = {2017},
}

Joint Facial Action Unit Detection and Feature Fusion: A Multi-conditional Learning Approach

S. Eleftheriadis, O. Rudovic, M. Pantic. IEEE Transactions on Image Processing. 25(12): pp. 5727 - 5742, 2016.

[pdf] [bibtex] [endnote]

@article{eleftheriadis_tip2,
    author = {S. Eleftheriadis and O. Rudovic and M. Pantic},
    pages = {5727--5742},
    journal = {IEEE Transactions on Image Processing},
    number = {12},
    title = {Joint Facial Action Unit Detection and Feature Fusion: A Multi-conditional Learning Approach},
    volume = {25},
    year = {2016},
}

Discriminative Shared Gaussian Processes for Multi-view and View-invariant Facial Expression Recognition

S. Eleftheriadis, O. Rudovic, M. Pantic. IEEE Transactions on Image Processing. 24(1): pp. 189 - 204, 2015.

[code] [pdf] [bibtex] [endnote]

@article{eleftheriadis_TIP2014,
    author = {S. Eleftheriadis and O. Rudovic and M. Pantic},
    pages = {189--204},
    journal = {IEEE Transactions on Image Processing},
    number = {1},
    title = {Discriminative Shared Gaussian Processes for Multi-view and View-invariant Facial Expression Recognition},
    volume = {24},
    year = {2015},
}

Conference articles

DeepCoder: Semi-Parametric Variational Autoencoders for Automatic Facial Action Coding

L. Tran, R. Walecki, O. Rudovic, S. Eleftheriadis, B. Schuller, M. Pantic. The IEEE International Conference on Computer Vision (ICCV). pp. 3190 - 3199, 2017.

[pdf] [bibtex] [endnote]

@inproceedings{linh2017deepcoder,
    author = {L. Tran and R. Walecki and O. Rudovic and S. Eleftheriadis and B. Schuller and M. Pantic},
    pages = {3190--3199},
    booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
    title = {DeepCoder: Semi-Parametric Variational Autoencoders for Automatic Facial Action Coding},
    year = {2017},
}

Variational Gaussian Process Auto-Encoder for Ordinal Prediction of Facial Action Units

S. Eleftheriadis, O. Rudovic, M. P. Deisenroth, M. Pantic. Asian Conference on Computer Vision. Taipei, Taiwan, November 2016.

[pdf] [bibtex] [endnote]

@inproceedings{eleftheriadis_accv,
    author = {S. Eleftheriadis and O. Rudovic and M. P. Deisenroth and M. Pantic},
    address = {Taipei, Taiwan},
    booktitle = {Asian Conference on Computer Vision},
    month = {November},
    title = {Variational Gaussian Process Auto-Encoder for Ordinal Prediction of Facial Action Units},
    year = {2016},
}

Gaussian Process Domain Experts for Model Adaptation in Facial Behavior Analysis

S. Eleftheriadis, O. Rudovic, M. P. Deisenroth, M. Pantic. International Conference on Computer Vision and Pattern Recognition (CVPRW’16). 4th Workshop on Context Based Affect Recognition. Las Vegas, NV, USA, June 2016.

[pdf] [bibtex] [endnote]

@inproceedings{eleftheriadis_gpde,
    author = {S. Eleftheriadis and O. Rudovic and M. P. Deisenroth and M. Pantic},
    address = {Las Vegas, NV, USA},
    booktitle = {International Conference on Computer Vision and Pattern Recognition (CVPRW’16). 4th Workshop on Context Based Affect Recognition},
    month = {June},
    title = {Gaussian Process Domain Experts for Model Adaptation in Facial Behavior Analysis},
    year = {2016},
}

Multi-conditional Latent Variable Model for Joint Facial Action Unit Detection

S. Eleftheriadis, O. Rudovic, M. Pantic. International Conference on Computer Vision (ICCV). Santiago, Chile, December 2015.

[pdf] [bibtex] [endnote]

@inproceedings{eleftheriadis_iccv,
    author = {S. Eleftheriadis and O. Rudovic and M. Pantic},
    address = {Santiago, Chile},
    booktitle = { International Conference on Computer Vision (ICCV)},
    month = {December},
    title = {Multi-conditional Latent Variable Model for Joint Facial Action Unit Detection},
    year = {2015},
}

%0 Conference Proceedings
%T Multi-conditional Latent Variable Model for Joint Facial Action Unit Detection
%A Eleftheriadis, S.
%A Rudovic, O.
%A Pantic, M.
%B International Conference on Computer Vision (ICCV)
%D 2015
%8 December
%C Santiago, Chile
%F eleftheriadis_iccv

View-constrained Latent Variable Model for Multi-view Facial Expression Classification

S. Eleftheriadis, O. Rudovic, M. Pantic. Int’l Symposium on Visual Computing (ISVC’14), LNCS, Las Vegas, USA. pp. 292 - 303, December 2014.

[pdf] [bibtex] [endnote]

@inproceedings{eleftheriadis_ISVC2014,
    author = {S. Eleftheriadis and O. Rudovic and M. Pantic},
    pages = {292--303},
    booktitle = {Int’l Symposium on Visual Computing (ISVC’14), LNCS, Las Vegas, USA},
    month = {December},
    title = {View-constrained Latent Variable Model for Multi-view Facial Expression Classification},
    year = {2014},
}

%0 Conference Proceedings
%T View-constrained Latent Variable Model for Multi-view Facial Expression Classification
%A Eleftheriadis, S.
%A Rudovic, O.
%A Pantic, M.
%B Int’l Symposium on Visual Computing (ISVC’14), LNCS, Las Vegas, USA
%D 2014
%8 December
%F eleftheriadis_ISVC2014
%P 292-303

Shared Gaussian Process Latent Variable Model for Multi-view Facial Expression Recognition

S. Eleftheriadis, O. Rudovic, M. Pantic. Advances in Visual Computing, 9th International Symposium, ISVC. Springer Berlin Heidelberg, pp. 527 - 538, 2013.

[pdf] [bibtex] [endnote]

@inproceedings{Eleftheriadis_ISVC13,
    author = {S. Eleftheriadis and O. Rudovic and M. Pantic},
    pages = {527--538},
    booktitle = {Advances in Visual Computing, 9th International Symposium, ISVC},
    publisher = {Springer Berlin Heidelberg},
    series = {Lecture Notes in Computer Science},
    title = {Shared Gaussian Process Latent Variable Model for Multi-view Facial Expression Recognition},
    year = {2013},
}

%0 Conference Proceedings
%T Shared Gaussian Process Latent Variable Model for Multi-view Facial Expression Recognition
%A Eleftheriadis, S.
%A Rudovic, O.
%A Pantic, M.
%B Advances in Visual Computing, 9th International Symposium, ISVC
%D 2013
%I Springer Berlin Heidelberg
%F Eleftheriadis_ISVC13
%P 527-538

Theses

Gaussian Processes for Modeling of Facial Expressions

S. Eleftheriadis. PhD Thesis, November 2016.

[pdf] [bibtex] [endnote]

@phdthesis{ele_thesis,
    author = {S. Eleftheriadis},
    month = {November},
    title = {Gaussian Processes for Modeling of Facial Expressions},
    year = {2016},
}