Jean Kossaifi

Mr. Jean Kossaifi

Position:

Research Assistant / PhD Student

Email:

Personal website:

http://jeankossaifi.com/

Biography

Jean Kossaifi is a Research Assistant and PhD student within the Department of Computing, Imperial College London, working as part of the iBUG group under Professor Maja Pantic's supervision. His current position follows the completion of an MSc in Advanced Computing, obtained with Distinction from Imperial College London, UK. In addition, Jean also holds a French Engineering Diploma/MSc in applied mathematics, finance and computing, obtained in parallel with a BSc in Advanced Mathematics.

His research interests are primarily focused on the areas of machine learning, computer vision and pattern recognition, with applications in human-computer interaction, automatic non-verbal behaviour analysis and emotion recognition.

Projects:

sewa-project, TERESA

Publications

Journal articles

AFEW-VA database for valence and arousal estimation in-the-wild

J. Kossaifi, G. Tzimiropoulos, S. Todorovic, M. Pantic. Image and Vision Computing. 65: pp. 23 - 36, Multimodal Sentiment Analysis and Mining in the Wild Image and Vision Computing. 2017.

Bibtex reference [hide]
@article{kossaifi_afewva,
    author = {J. Kossaifi and G. Tzimiropoulos and S. Todorovic and M. Pantic},
    pages = {23--36},
    journal = {Image and Vision Computing},
    note = {Multimodal Sentiment Analysis and Mining in the Wild Image and Vision Computing},
    title = {AFEW-VA database for valence and arousal estimation in-the-wild},
    volume = {65},
    year = {2017},
}
Endnote reference [hide]

Fast and exact Newton and Bidirectional fitting of Active Appearance Models

J. Kossaifi, G. Tzimiropoulos, M. Pantic. IEEE Transactions on Image Processing (TIP). 26: pp. 1040 - 1053, 2016.

Bibtex reference [hide]
@article{kossaifi_aam_tip,
    author = {J. Kossaifi and G. Tzimiropoulos and M. Pantic},
    pages = {1040--1053},
    journal = {IEEE Transactions on Image Processing (TIP)},
    publisher = {IEEE},
    title = {Fast and exact Newton and Bidirectional fitting of Active Appearance Models},
    volume = {26},
    year = {2016},
}
Endnote reference [hide]

Machine Learning for Neuroimaging with Scikit-Learn

A. Abraham, F. Pedregosa, M. Eickenberg, P. Gervais, A. Mueller, J. Kossaifi, A. Gramfort, B. Thirion, G. Varoquaux. Frontiers in Neuroinformatics. 8(14): 2014.

Bibtex reference [hide]
@article{ml_neuroimaging_sklearn,
    author = {A. Abraham and F. Pedregosa and M. Eickenberg and P. Gervais and A. Mueller and J. Kossaifi and A. Gramfort and B. Thirion and G. Varoquaux},
    journal = {Frontiers in Neuroinformatics},
    number = {14},
    title = {Machine Learning for Neuroimaging with Scikit-Learn},
    url = {http://www.frontiersin.org/neuroinformatics/10.3389/fninf.2014.00014/abstract},
    volume = {8},
    year = {2014},
}
Endnote reference [hide]

Conference articles

GAGAN: Geometry-Aware Generative Adversarial Networks

J. Kossaifi, L. Tran, Y. Panagakis, M. Pantic. IEEE CVPR. pp. 878 - 887, June 2018.

Bibtex reference [hide]
@inproceedings{kossaifi2018gagan,
    author = {J. Kossaifi and L. Tran and Y. Panagakis and M. Pantic},
    pages = {878--887},
    booktitle = {IEEE CVPR},
    month = {June},
    title = {GAGAN: Geometry-Aware Generative Adversarial Networks},
    year = {2018},
}
Endnote reference [hide]

Stochastic activation pruning for robust adversarial defense

G. S. Dhillon, K. Azizzadenesheli, Z. Lipton, J. Bernstein, J. Kossaifi, A. Khanna, A. Anandkumar. International Conference on Learning Representations (ICLR). 2018.

Bibtex reference [hide]
@inproceedings{dhillon2018stochastic,
    author = {G. S. Dhillon and K. Azizzadenesheli and Z. Lipton and J. Bernstein and J. Kossaifi and A. Khanna and A. Anandkumar},
    booktitle = {International Conference on Learning Representations (ICLR)},
    title = {Stochastic activation pruning for robust adversarial defense},
    year = {2018},
}
Endnote reference [hide]

Tensor Regression Networks

J. Kossaifi, Z. Lipton, A. Khanna, T. Furlanello, A. Anandkumar. 2017.

Bibtex reference [hide]
@inproceedings{kossaifi_trl,
    author = {J. Kossaifi and Z. Lipton and A. Khanna and T. Furlanello and A. Anandkumar},
    journal = {CoRR},
    title = {Tensor Regression Networks},
    url = {http://arxiv.org/abs/1707.08308},
    year = {2017},
}
Endnote reference [hide]

Tensor Contraction Layers for Parsimonious Deep Nets

J. Kossaifi, A. Khanna, Z. Lipton, T. Furlanello, A. Anandkumar. 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). pp. 1940 - 1946, July 2017.

Bibtex reference [hide]
@inproceedings{kossaifi_tcl,
    author = {J. Kossaifi and A. Khanna and Z. Lipton and T. Furlanello and A. Anandkumar},
    pages = {1940--1946},
    booktitle = {2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
    month = {July},
    title = {Tensor Contraction Layers for Parsimonious Deep Nets},
    year = {2017},
}
Endnote reference [hide]

The First Facial Landmark Tracking in-the-Wild Challenge: Benchmark and Results

J. Shen, S. Zafeiriou, G. Chrysos, J. Kossaifi, G. Tzimiropoulos, M. Pantic. Proceedings of IEEE International Conference on Computer Vision, 300 Videos in the Wild (300-VW): Facial Landmark Tracking in-the-Wild Challenge & Workshop (ICCVW'15). December 2015.

Bibtex reference [hide]
@inproceedings{300VW,
    author = {J. Shen and S. Zafeiriou and G. Chrysos and J. Kossaifi and G. Tzimiropoulos and M. Pantic},
    booktitle = {Proceedings of IEEE International Conference on Computer Vision, 300 Videos in the Wild (300-VW): Facial Landmark Tracking in-the-Wild Challenge & Workshop (ICCVW'15)},
    month = {December},
    title = {The First Facial Landmark Tracking in-the-Wild Challenge: Benchmark and Results},
    year = {2015},
}
Endnote reference [hide]

Fast and exact Bi-directional Fitting of Active Appearance Models

J. Kossaifi, G. Tzimiropoulos, M. Pantic. Proceedings of the IEEE Int’l Conf. on Image Processing (ICIP’15). Quebec City, QC, Canada, pp. 1135 - 1139, September 2015.

Bibtex reference [hide]
@inproceedings{kossaifi_bidirectional_aam,
    author = {J. Kossaifi and G. Tzimiropoulos and M. Pantic},
    pages = {1135--1139},
    address = {Quebec City, QC, Canada},
    booktitle = {Proceedings of the IEEE Int’l Conf. on Image Processing (ICIP’15)},
    month = {September},
    title = {Fast and exact Bi-directional Fitting of Active Appearance Models},
    year = {2015},
}
Endnote reference [hide]

Fast Newton Active Appearance Models

J. Kossaifi, G. Tzimiropoulos, M. Pantic. Proceedings of the IEEE Int’l Conf. on Image Processing (ICIP’14). Paris, France, pp. 1420 - 1424, October 2014.

Bibtex reference [hide]
@inproceedings{kossaifi_newton_aam,
    author = {J. Kossaifi and G. Tzimiropoulos and M. Pantic},
    pages = {1420--1424},
    address = {Paris, France},
    booktitle = {Proceedings of the IEEE Int’l Conf. on Image Processing (ICIP’14)},
    month = {October},
    title = {Fast Newton Active Appearance Models},
    year = {2014},
}
Endnote reference [hide]

Other publications

TensorLy: Tensor Learning in Python

J. Kossaifi, Y. Panagakis, M. Pantic. NIPS Tensor-Learn Workshop. 2016.

Bibtex reference [hide]
@conference{tensorly,
    author = {J. Kossaifi and Y. Panagakis and M. Pantic},
    booktitle = {NIPS Tensor-Learn Workshop},
    title = {TensorLy: Tensor Learning in Python},
    year = {2016},
}
Endnote reference [hide]