most recent publications
@article{walecki2017_deep_copula,
editor = {R. Walecki and O. Rudovic and V. Pavlovic and B. Schuller and M. Pantic},
title = {Deep Structured Learning for Facial Expression Intensity Estimation},
}
@conference{Marras2017,
booktitle = {IEEE Face and Gesture Recognition 2017},
month = {May},
title = {A Joint Discriminative Generative Model for Deformable Model Construction and Classification},
}
@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},
}
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},
}
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},
}
@inproceedings{meng2017,
author = {M. Wang and Y. Panagakis and P. Snape and S. Zafeiriou},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
title = {Learning the Multilinear Structure of Visual Data},
year = {2017},
}
Local Deep Neural Networks for Age and Gender Classification
Z. Liao,
S. Petridis,
M. Pantic.
Arxiv 1703.08497.
March
2017.
@inproceedings{ldnn_genderAge,
author = {Z. Liao and S. Petridis and M. Pantic},
booktitle = {Arxiv 1703.08497},
month = {March},
title = {Local Deep Neural Networks for Age and Gender Classification},
year = {2017},
}
Deformable Models of Ears in-the-wild for Alignment and Recognition
Y. Zhou,
S. Zafeiriou.
FG'2017.
June
2017.
@inproceedings{dmefg2017,
author = {Y. Zhou and S. Zafeiriou},
booktitle = {FG'2017},
month = {June},
title = {Deformable Models of Ears in-the-wild for Alignment and Recognition},
year = {2017},
}