Dr. Athanasios Papaioannou
Past Member
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.
Biometrics & Behaviometrics:
Subspace learning for face recognition
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.
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},
}
Principal Component Analysis With Complex Kernel: The Widely Linear Model
A. Papaioannou, S. Zafeiriou. IEEE Transactions on Neural Networks and Learning Systems (Accepted).. 2014.
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},
}
%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
MimicME: A Large Scale Diverse 4D Database for Facial Expression Analysis
A. Papaioannou, B. Gecer, S. Cheng, G. Chrysos, J. Deng, E. Fotiadou, C. Kampouris, D. Kollias, S. Moschoglou, K. Songsri-in, S. Ploumpis, G. Trigeorgis, P. Tzirakis, E. Ververas, Y. Zhou, A. Ponniah, A. Roussos, S. Zafeiriou. ECCV. 2022.
booktitle = {ECCV},
title = {MimicME: A Large Scale Diverse 4D Database for Facial Expression Analysis},
year = {2022},
}
Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks
B. Gecer, A. Lattas, S. Ploumpis, J. Deng, A. Papaioannou, S. Moschoglou, S. Zafeiriou. ECCV. 2020.
booktitle = {ECCV},
title = {Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks},
year = {2020},
}
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.
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},
}
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.
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},
}
Other publications
Complex Representations for Learning Statistical Shape Priors
A. Papaioannou, E. Antonakos, S. Zafeiriou. EUSIPCO 2017, 2017.
author = {A. Papaioannou and S. Zafeiriou and E. Antonakos},
organization = {EUSIPCO 2017},
title = {Complex Representations for Learning Statistical Shape Priors},
year = {2017},
}