most recent publications

T-Net: Parametrizing Fully Convolutional Nets with a Single High-Order Tensor

J. Kossaifi, A. Bulat, G. Tzimiropoulos, M. Pantic. IEEE CVPR. 2019.

[pdf] [bibtex] [endnote]

@inproceedings{kossaifi2019tnet,
    author = {J. Kossaifi and A. Bulat and G. Tzimiropoulos and M. Pantic},
    booktitle = {IEEE CVPR},
    title = {T-Net: Parametrizing Fully Convolutional Nets with a Single High-Order Tensor},
    year = {2019},
}

Disentangling Geometry and Appearance with Regularised Geometry-Aware Generative Adversarial Networks

L. Tran, J. Kossaifi, Y. Panagakis, M. Pantic. International Journal of Computer Vision (IJCV). 2019.

[pdf] [bibtex] [endnote]

@article{GAGAN-IJCV,
    author = {L. Tran and J. Kossaifi and Y. Panagakis and M. Pantic},
    journal = {International Journal of Computer Vision (IJCV)},
    title = {Disentangling Geometry and Appearance with Regularised Geometry-Aware Generative Adversarial Networks},
    year = {2019},
}

Robust Kronecker Component Analysis

M. Bahri, Y. Panagakis, S. Zafeiriou. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2019.

[pdf] [bibtex] [endnote]

@article{mehdi2019,
    author = {M. Bahri and Y. Panagakis and S. Zafeiriou},
    journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
    title = {Robust Kronecker Component Analysis},
    year = {2019},
}

Robust Conditional Generative Adversarial Networks

G. Chrysos, J. Kossaifi, S. Zafeiriou. ICLR. May 2019.

[pdf] [bibtex] [endnote]

@inproceedings{chrysos2019,
    booktitle = {ICLR},
    month = {May},
    title = {Robust Conditional Generative Adversarial Networks},
    year = {2019},
}

Combining 3D Morphable Models: A Large scale Face-and-Head Model

S. Ploumpis, H. Wang, W. Smith, N. Pears, S. Zafeiriou. CVPR (ORAL). June 2019.

[pdf] [bibtex] [endnote]

@inproceedings{ploumpis2019,
    booktitle = {CVPR (ORAL)},
    month = {June},
    title = {Combining 3D Morphable Models: A Large scale Face-and-Head Model},
    year = {2019},
}

Dense 3D Face Decoding over 2500FPS: Joint Texture & Shape Convolutional Mesh Decoders

Y. Zhou, J. Deng, I. Kotsia, S. Zafeiriou. CVPR. 2019.

[pdf] [bibtex] [endnote]

@inproceedings{yuxiang2019,
    author = {Y. Zhou and J. Deng and I. Kotsia and S. Zafeiriou},
    booktitle = {CVPR},
    title = {Dense 3D Face Decoding over 2500FPS: Joint Texture & Shape Convolutional Mesh Decoders},
    year = {2019},
}

GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction

B. Gecer, S. Ploumpis, I. Kotsia, S. Zafeiriou. CVPR 2019. 2019.

[pdf] [bibtex] [endnote]

@inproceedings{baris2019,
    author = {B. Gecer and S. Ploumpis and I. Kotsia and S. Zafeiriou},
    booktitle = {CVPR 2019},
    title = {GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction},
    year = {2019},
}

Time-series Clustering with Jointly Learning Deep Representations, Clusters and Temporal Boundaries

P. Tzirakis, M. A. Nicolaou, B. Schuller, S. Zafeiriou. FG'2019. May 2019.

[pdf] [bibtex] [endnote]

@inproceedings{tzirakis2019,
    booktitle = {FG'2019},
    month = {May},
    title = {Time-series Clustering with Jointly Learning Deep Representations, Clusters and Temporal Boundaries},
    year = {2019},
}

Reparameterising 3D Statistical Shape Models

H. Wang, S. Zafeiriou. FG'2019. May 2019.

[pdf] [bibtex] [endnote]

@inproceedings{haoyang2018,
    author = {H. Wang and S. Zafeiriou},
    booktitle = {FG'2019},
    month = {May},
    title = {Reparameterising 3D Statistical Shape Models},
    year = {2019},
}

TensorLy: Tensor Learning in Python

J. Kossaifi, Y. Panagakis, A. Anandkumar, M. Pantic. Journal of Machine Learning Research (JMLR). 20(26): pp. 1 - 6, 2019.

[pdf] [bibtex] [endnote]

@article{tensorly,
    author = {J. Kossaifi and Y. Panagakis and A. Anandkumar and M. Pantic},
    pages = {1--6},
    journal = {Journal of Machine Learning Research (JMLR)},
    number = {26},
    title = {TensorLy: Tensor Learning in Python},
    url = {http://jmlr.org/papers/v20/18-277.html},
    volume = {20},
    year = {2019},
}