Athanasios Papaioannou

Dr. Athanasios Papaioannou

Position:

Research Associate

Email:

Biography

Athanasios Papaioannou received the diploma and Master of Science (specialized in Digital Media) in Informatics from the Aristotle University o Thessaloniki, Greece (A.U.TH).

Currently, he is a Research Assistant/PhD student at the Department of Computing at Imperial College, under the supervision of Prof Maja Pantic and Dr Stefanos Zafeiriou. His research interests lie in the field of Computer Vision, Pattern Recognition and Machine Learning.

Publications

Journal articles

Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond

D. Kollias, P. Tzirakis, M. A. Nicolaou, A. Papaioannou, G. Zhao, B. Schuller, I. Kotsia, S. Zafeiriou. International Journal of Computer Vision. feb 2019.

Bibtex reference [hide]
@article{Kollias_2019,
    author = {D. Kollias and P. Tzirakis and M. A. Nicolaou and A. Papaioannou and G. Zhao and B. Schuller and I. Kotsia and S. Zafeiriou},
    journal = {International Journal of Computer Vision},
    month = {feb},
    publisher = {Springer Nature},
    title = {Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond},
    url = {https://doi.org/10.1007/s11263-019-01158-4},
    year = {2019},
}
Endnote reference [hide]

Principal Component Analysis With Complex Kernel: The Widely Linear Model

A. Papaioannou, S. Zafeiriou. IEEE Transactions on Neural Networks and Learning Systems (Accepted).. 2014.

Bibtex reference [hide]
@article{papaioannou_tnn_2013,
    author = {A. Papaioannou and S. Zafeiriou},
    journal = {IEEE Transactions on Neural Networks and Learning Systems (Accepted).},
    title = {Principal Component Analysis With Complex Kernel: The Widely Linear Model },
    year = {2014},
}
Endnote reference [hide]
%0 Journal Article
%T Principal Component Analysis With Complex Kernel: The Widely Linear Model
%A Papaioannou, A.
%A Zafeiriou, S.
%J IEEE Transactions on Neural Networks and Learning Systems (Accepted).
%D 2014
%F papaioannou_tnn_2013

Conference articles

Aff-Wild: Valence and Arousal `In-the-Wild' Challenge

S. Zafeiriou, D. Kollias, M. A. Nicolaou, A. Papaioannou, G. Zhao, I. Kotsia. 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, jul 2017.

Bibtex reference [hide]
@inproceedings{kollias_2017,
    author = {S. Zafeiriou and D. Kollias and M. A. Nicolaou and A. Papaioannou and G. Zhao and I. Kotsia},
    booktitle = {2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
    month = {jul},
    publisher = {IEEE},
    title = {Aff-Wild: Valence and Arousal `In-the-Wild' Challenge},
    url = {https://doi.org/10.1109%2Fcvprw.2017.248},
    year = {2017},
}
Endnote reference [hide]

Facial Affect ``in-the-wild": A survey and a new database

S. Zafeiriou, A. Papaioannou, I. Kotsia, M. A. Nicolaou, G. Zhao. International Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Affect "in-the-wild" Workshop. June 2016.

Bibtex reference [hide]
@inproceedings{zafeiriou_in_the_wild_2016,
    author = {S. Zafeiriou and A. Papaioannou and I. Kotsia and M. A. Nicolaou and G. Zhao},
    booktitle = {International Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Affect "in-the-wild" Workshop},
    month = {June},
    title = {Facial Affect ``in-the-wild": A survey and a new database},
    year = {2016},
}
Endnote reference [hide]

Other publications

Complex Representations for Learning Statistical Shape Priors

A. Papaioannou, S. Zafeiriou, E. Antonakos. EUSIPCO 2017, 2017.

Bibtex reference [hide]
@conference{ComplexRepresentation,
    author = {A. Papaioannou and S. Zafeiriou and E. Antonakos},
    organization = {EUSIPCO 2017},
    title = {Complex Representations for Learning Statistical Shape Priors},
    year = {2017},
}
Endnote reference [hide]