most recent publications
@conference{end2end_multiview,
author = {S. Petridis and Y. Wang and Z. Li and M. Pantic},
address = {London},
booktitle = {British Machine Vision Conference},
month = {September},
title = {End-to-End Multi-View Lipreading},
year = {2017},
}
End-to-End Audiovisual Fusion With LSTMs
S. Petridis,
Y. Wang,
Z. Li,
M. Pantic.
Auditory-Visual Speech Processing Conference.
Stockholm,
August
2017.
@inproceedings{end2endAV,
author = {S. Petridis and Y. Wang and Z. Li and M. Pantic},
address = {Stockholm},
booktitle = {Auditory-Visual Speech Processing Conference},
month = {August},
title = {End-to-End Audiovisual Fusion With LSTMs},
year = {2017},
}
@inproceedings{AgeDB,
author = {S. Moschoglou and A. Papaioannou and C. Sagonas and J. Deng and I. Kotsia and S. Zafeiriou},
address = {Honolulu, Hawaii},
booktitle = {Proceedings of IEEE Int’l Conf. on Computer Vision and Pattern Recognition (CVPR-W 2017)},
month = {July},
title = {AgeDB: the first manually collected, in-the-wild age database},
year = {2017},
}
@article{trigeorgis_2017_dctw,
author = {G. Trigeorgis and M. A. Nicolaou and B. Schuller and S. Zafeiriou},
journal = {IEEE transactions on Pattern Analysis and Machine Intelligence},
title = {Deep Canonical Time Warping for simultaneous alignment and representation learning of sequences},
year = {2017},
}
Temporal Archetypal Analysis for Action Segmentation
M. Pantic,
Y. Panagakis,
E. Fotiadou.
12th IEEE Conference on Automatic Face and Gesture Recognition.
May
2017.
@conference{454646,
author = {M. Pantic and Y. Panagakis and E. Fotiadou},
booktitle = {12th IEEE Conference on Automatic Face and Gesture Recognition},
month = {May},
title = {Temporal Archetypal Analysis for Action Segmentation},
year = {2017},
}
@article{walecki2017_deep_copula,
editor = {R. Walecki and O. Rudovic and V. Pavlovic and B. Schuller and M. Pantic},
month = {July},
title = {Deep Structured Learning for Facial Expression Intensity Estimation},
year = {2017},
}
Deep Structured Learning for Facial Expression Intensity Estimation
R. Walecki,
O. Rudovic,
V. Pavlovic,
B. Schuller,
M. Pantic.
Proceedings of IEEE Int’l Conf. on Computer Vision and Pattern Recognition (CVPR 2017).
Honolulu, Hawaii,
June
2017.
@inproceedings{walecki2017_deepstructure,
author = {R. Walecki and O. Rudovic and V. Pavlovic and B. Schuller and M. Pantic},
address = {Honolulu, Hawaii},
booktitle = {Proceedings of IEEE Int’l Conf. on Computer Vision and Pattern Recognition (CVPR 2017)},
month = {June},
title = {Deep Structured Learning for Facial Expression Intensity Estimation},
year = {2017},
}
@article{booth2017largescale,
author = {S. Zafeiriou and A. Roussos and A. Ponniah and D. Dunaway and J. Booth},
journal = {International Journal of Computer Vision},
publisher = {Springer},
title = {Large Scale 3D Morphable Models},
url = {https://link.springer.com/article/10.1007/s11263-017-1009-7},
year = {2017},
}
@conference{Marras2017,
author = {I. Marras and S. Nikitidis and S. Zafeiriou and M. Pantic},
booktitle = {IEEE Face and Gesture Recognition 2017},
month = {May},
title = {A Joint Discriminative Generative Model for Deformable Model Construction and Classification},
year = {2017},
}
Face Normals “in-the-wild” using Fully Convolutional Networks
G. Trigeorgis,
P. Snape,
I. Kokkinos,
S. Zafeiriou.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
July
2017.
@inproceedings{trigeorgis_normals,
author = {G. Trigeorgis and P. Snape and I. Kokkinos and S. Zafeiriou},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
title = {Face Normals “in-the-wild” using Fully Convolutional Networks},
year = {2017},
}