most recent publications

Deep Structured Learning for Facial Expression Intensity Estimation

editors: R. Walecki, O. Rudovic, V. Pavlovic, B. Schuller, M. Pantic. .

Bibtex reference [hide]
@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},
}
Endnote reference [hide]

A Joint Discriminative Generative Model for Deformable Model Construction and Classification

I. Marras, S. Nikitidis, S. Zafeiriou, M. Pantic. IEEE Face and Gesture Recognition 2017. May .

Bibtex reference [hide]
@conference{Marras2017,
    booktitle = {IEEE Face and Gesture Recognition 2017},
    month = {May},
    title = {A Joint Discriminative Generative Model for Deformable Model Construction and Classification},
}
Endnote reference [hide]

Deep Canonical Time Warping for simultaneous alignment and representation learning of sequences

G. Trigeorgis, M. A. Nicolaou, B. Schuller, S. Zafeiriou. IEEE transactions on Pattern Analysis and Machine Intelligence. 2017.

Bibtex reference [hide]
@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},
}
Endnote reference [hide]

Temporal Archetypal Analysis for Action Segmentation

M. Pantic, Y. Panagakis, E. Fotiadou. 12th IEEE Conference on Automatic Face and Gesture Recognition. May 2017.

Bibtex reference [hide]
@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},
}
Endnote reference [hide]

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.

Bibtex reference [hide]
@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},
}
Endnote reference [hide]

Large Scale 3D Morphable Models

J. Booth, A. Roussos, A. Ponniah, D. Dunaway, S. Zafeiriou. International Journal of Computer Vision. 2017.

Bibtex reference [hide]
@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},
}
Endnote reference [hide]

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.

Bibtex reference [hide]
@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},
}
Endnote reference [hide]

Learning the Multilinear Structure of Visual Data

M. Wang, Y. Panagakis, P. Snape, S. Zafeiriou. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). July 2017.

Bibtex reference [hide]
@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},
}
Endnote reference [hide]

Local Deep Neural Networks for Age and Gender Classification

Z. Liao, S. Petridis, M. Pantic. Arxiv 1703.08497. March 2017.

Bibtex reference [hide]
@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},
}
Endnote reference [hide]

Deformable Models of Ears in-the-wild for Alignment and Recognition

Y. Zhou, S. Zafeiriou. FG'2017. June 2017.

Bibtex reference [hide]
@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},
}
Endnote reference [hide]