Yannis Panagakis

Dr. Yannis Panagakis

Position:

Affiliated Academic

Email:

Biography

Yannis Panagakis is a Lecturer in Computer Science at Middlesex University London and a Research Fellow at the Department of Computing, Imperial College London. His research interests lie in machine learning and its interface with signal processing, high-dimensional statistics, and computational optimization. Specifically, Yannis is working on models and algorithms for robust and efficient learning from high-dimensional data and signals representing audio, visual, affective, and social information. He received his PhD and MSc degrees from the Department of Informatics, Aristotle University of Thessaloniki and his BSc degree in Informatics and Telecommunication from the University of Athens, Greece. Yannis has been awarded the prestigious Marie-Curie Fellowship, among various scholarships and awards for his studies and research.

Publications

Journal articles

Deep Polynomial Neural Networks

G. Chrysos, S. Moschoglou, G. Bouritsas, J. Deng, Y. Panagakis, S. Zafeiriou. TPAMI. 2022.

Bibtex reference [hide]
@article{TPAMI2021DeepPolynomialNeuralNetworks,
    author = {G. Chrysos and S. Moschoglou and G. Bouritsas and J. Deng and Y. Panagakis and S. Zafeiriou},
    journal = {TPAMI},
    title = {Deep Polynomial Neural Networks},
    year = {2022},
}
Endnote reference [hide]

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.

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

Robust Kronecker Component Analysis

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

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

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.

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

Side Information for Face Completion: a Robust PCA Approach

N. Xue, J. Deng, S. Cheng, Y. Panagakis, S. Zafeiriou. TPAMI. 2019.

Bibtex reference [hide]
@article{xueniannan_TPAMI_RPCA,
    author = {N. Xue and J. Deng and S. Cheng and Y. Panagakis and S. Zafeiriou},
    journal = {TPAMI},
    title = {Side Information for Face Completion: a Robust PCA Approach},
    year = {2019},
}
Endnote reference [hide]

An Adversarial Neuro-Tensorial Approach for Learning Disentangled Representations

M. Wang, Z. Shu, S. Cheng, Y. Panagakis, D. Samaras, S. Zafeiriou. International Journal of Computer Vision. Feb 2019.

Bibtex reference [hide]
@article{Wang2019,
    author = {M. Wang and Z. Shu and S. Cheng and Y. Panagakis and D. Samaras and S. Zafeiriou},
    journal = {International Journal of Computer Vision},
    month = {Feb},
    title = {An Adversarial Neuro-Tensorial Approach for Learning Disentangled Representations},
    url = {https://doi.org/10.1007/s11263-019-01163-7},
    year = {2019},
}
Endnote reference [hide]

Multi-Attribute Robust Component Analysis for Facial UV Maps

S. Moschoglou, E. Ververas, Y. Panagakis, M. A. Nicolaou, S. Zafeiriou. IEEE Journal of Selected Topics in Signal Processing,. December 2018.

Bibtex reference [hide]
@article{moschoglou2018,
    journal = {IEEE Journal of Selected Topics in Signal Processing,},
    month = {December},
    title = {Multi-Attribute Robust Component Analysis for Facial UV Maps},
    year = {2018},
}
Endnote reference [hide]

Modelling of Facial Aging and Kinship: A Survey

M. Georgopoulos, Y. Panagakis, M. Pantic. Image and Vision Computing. 2018.

Bibtex reference [hide]
@article{georgopoulos2018modelling,
    author = {M. Georgopoulos and Y. Panagakis and M. Pantic},
    journal = {Image and Vision Computing},
    publisher = {Elsevier},
    title = {Modelling of Facial Aging and Kinship: A Survey},
    year = {2018},
}
Endnote reference [hide]

Blind Audio-Visual Localization and Separation via Low-Rank and Sparsity

J. Pu, Y. Panagakis, S. Petridis, J. Shen, M. Pantic. IEEE transactions on cybernetics. 2018.

Bibtex reference [hide]
@article{pu2018blind,
    author = {J. Pu and Y. Panagakis and S. Petridis and J. Shen and M. Pantic},
    journal = {IEEE transactions on cybernetics},
    publisher = {IEEE},
    title = {Blind Audio-Visual Localization and Separation via Low-Rank and Sparsity},
    year = {2018},
}
Endnote reference [hide]

Disentangling the Modes of Variation in Unlabelled Data

M. Wang, Y. Panagakis, P. Snape, S. Zafeiriou. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2018.

Bibtex reference [hide]
@article{mwang2018disentangling,
    author = {M. Wang and Y. Panagakis and P. Snape and S. Zafeiriou},
    journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
    title = {Disentangling the Modes of Variation in Unlabelled Data},
    year = {2018},
}
Endnote reference [hide]

Recovering Joint and Individual Components in Facial Data

C. Sagonas, E. Ververas, Y. Panagakis, S. Zafeiriou. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Special issue on "The Computational Face". 2018.

Bibtex reference [hide]
@article{sagonas_robust_jive_2018,
    author = {C. Sagonas and E. Ververas and Y. Panagakis and S. Zafeiriou},
    journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Special issue on "The Computational Face"},
    title = {Recovering Joint and Individual Components in Facial Data},
    year = {2018},
}
Endnote reference [hide]

Nonnegative Decompositions for Dynamic Visual Data Analysis.

L. Zafeiriou, Y. Panagakis, M. Pantic, S. Zafeiriou. IEEE transactions on image processing: a publication of the IEEE Signal Processing Society. 26(12): pp. 5603, 2017.

Bibtex reference [hide]
@article{zafeiriou2017nonnegative,
    author = {L. Zafeiriou and Y. Panagakis and M. Pantic and S. Zafeiriou},
    pages = {5603},
    journal = {IEEE transactions on image processing: a publication of the IEEE Signal Processing Society},
    number = {12},
    title = {Nonnegative Decompositions for Dynamic Visual Data Analysis.},
    volume = {26},
    year = {2017},
}
Endnote reference [hide]

Dynamic Behavior Analysis via Structured Rank Minimization

C. Georgakis, Y. Panagakis, M. Pantic. International Journal of Computer Vision. 2017.

Bibtex reference [hide]
@article{georgakis_IJCV,
    author = {C. Georgakis and Y. Panagakis and M. Pantic},
    journal = {International Journal of Computer Vision},
    title = {Dynamic Behavior Analysis via Structured Rank Minimization},
    year = {2017},
}
Endnote reference [hide]

The Conflict Escalation Resolution (CONFER) Database

C. Georgakis, Y. Panagakis, S. Zafeiriou, M. Pantic. Image and Vision Computing. 2017.

Bibtex reference [hide]
@article{CONFER,
    author = {C. Georgakis and Y. Panagakis and S. Zafeiriou and M. Pantic},
    journal = {Image and Vision Computing},
    title = {The Conflict Escalation Resolution (CONFER) Database},
    year = {2017},
}
Endnote reference [hide]

Robust Statistical Frontalization of Human and Animal Faces

C. Sagonas, Y. Panagakis, S. Zafeiriou, M. Pantic. International Journal of Computer Vision (IJCV), Special Issue on "Machine Vision Applications". June 2016.

Bibtex reference [hide]
@article{sagonas2016rsf,
    author = {C. Sagonas and Y. Panagakis and S. Zafeiriou and M. Pantic},
    journal = {International Journal of Computer Vision (IJCV), Special Issue on "Machine Vision Applications"},
    month = {June},
    publisher = {Springer},
    title = {Robust Statistical Frontalization of Human and Animal Faces},
    year = {2016},
}
Endnote reference [hide]

Discriminant Incoherent Component Analysis

C. Georgakis, Y. Panagakis, M. Pantic. IEEE Transactions on Image Processing. 25(5): pp. 2021 - 2034, May 2016.

Bibtex reference [hide]
@article{georgakistip,
    author = {C. Georgakis and Y. Panagakis and M. Pantic},
    pages = {2021--2034},
    journal = {IEEE Transactions on Image Processing},
    month = {May},
    number = {5},
    title = {Discriminant Incoherent Component Analysis},
    volume = {25},
    year = {2016},
}
Endnote reference [hide]

Robust Correlated and Individual Component Analysis

Y. Panagakis, M. A. Nicolaou, S. Zafeiriou, M. Pantic. IEEE Transactions on Pattern Analysis and Machine Intelligence, Special Issue in Multimodal Pose Estimation and Behaviour Analysis, (accepted). 2016.

Bibtex reference [hide]
@article{RCICA,
    author = {Y. Panagakis and M. A. Nicolaou and S. Zafeiriou and M. Pantic},
    booktitle = { IEEE Transactions on Pattern Analysis and Machine Intelligence, Special Issue in Multimodal Pose Estimation and Behaviour Analysis, (accepted),},
    journal = { IEEE Transactions on Pattern Analysis and Machine Intelligence, Special Issue in Multimodal Pose Estimation and Behaviour Analysis, (accepted)},
    title = {Robust Correlated and Individual Component Analysis},
    year = {2016},
}
Endnote reference [hide]

Conference articles

Augmenting Deep Classifiers with Polynomial Neural Networks

G. Chrysos, M. Georgopoulos, J. Deng, J. Kossaifi, Y. Panagakis, A. Anandkumar. ECCV. 2022.

Bibtex reference [hide]
@inproceedings{ECCV2022Polynomial,
    booktitle = {ECCV},
    title = {Augmenting Deep Classifiers with Polynomial Neural Networks},
    year = {2022},
}
Endnote reference [hide]

Π-nets: Deep Polynomial Neural Networks

G. Chrysos, S. Moschoglou, G. Bouritsas, Y. Panagakis, J. Deng, S. Zafeiriou. CVPR. 2020.

Bibtex reference [hide]
@inproceedings{polynomialNets2020,
    author = {G. Chrysos and S. Moschoglou and G. Bouritsas and Y. Panagakis and J. Deng and S. Zafeiriou},
    booktitle = {CVPR},
    title = {Π-nets: Deep Polynomial Neural Networks},
    year = {2020},
}
Endnote reference [hide]

Learning Differentiable Sparse and Low Rank Networks for Audio-Visual Object Localization

J. Pu, Y. Panagakis, M. Pantic. Accepted to ICASSP (oral presentation). May 2020.

Bibtex reference [hide]
@inproceedings{ICASSP-2020-Jie,
    author = {J. Pu and Y. Panagakis and M. Pantic},
    booktitle = {Accepted to ICASSP (oral presentation)},
    month = {May},
    title = {Learning Differentiable Sparse and Low Rank Networks for Audio-Visual Object Localization},
    year = {2020},
}
Endnote reference [hide]

Learning Low Rank and Sparse Models via Robust Autoencoders

J. Pu, Y. Panagakis, M. Pantic. ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, pp. 3192 - 3196, 2019.

Bibtex reference [hide]
@inproceedings{pu2019learning,
    author = {J. Pu and Y. Panagakis and M. Pantic},
    pages = {3192--3196},
    booktitle = {ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
    organization = {IEEE},
    title = {Learning Low Rank and Sparse Models via Robust Autoencoders},
    year = {2019},
}
Endnote reference [hide]

Informed Non-convex Robust Principal Component Analysis with Features

N. Xue, J. Deng, Y. Panagakis, S. Zafeiriou. AAAI (Oral). 2018.

Bibtex reference [hide]
@inproceedings{xue2017informed,
    author = {N. Xue and J. Deng and Y. Panagakis and S. Zafeiriou},
    booktitle = {AAAI (Oral)},
    title = {Informed Non-convex Robust Principal Component Analysis with Features},
    year = {2018},
}
Endnote reference [hide]

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]

Robust Joint and Individual Variance Explained

C. Sagonas, Y. Panagakis, A. Leidinger, S. Zafeiriou. Proceedings of IEEE Int’l Conf. on Computer Vision & Pattern Recognition (CVPR). July 2017.

Bibtex reference [hide]
@inproceedings{rjive_sagonas_cvpr,
    author = {C. Sagonas and Y. Panagakis and A. Leidinger and S. Zafeiriou},
    booktitle = {Proceedings of IEEE Int’l Conf. on Computer Vision & Pattern Recognition (CVPR)},
    month = {July},
    title = { Robust Joint and Individual Variance Explained},
    year = {2017},
}
Endnote reference [hide]

Robust Kronecker-Decomposable Component Analysis for Low-Rank Modeling

M. Bahri, Y. Panagakis, S. Zafeiriou. The IEEE International Conference on Computer Vision (ICCV). Oct 2017.

Bibtex reference [hide]
@inproceedings{Bahri_2017_ICCV,
    author = {M. Bahri and Y. Panagakis and S. Zafeiriou},
    booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
    month = {Oct},
    title = {Robust Kronecker-Decomposable Component Analysis for Low-Rank Modeling},
    year = {2017},
}
Endnote reference [hide]

Behavior Prediction In-The-Wild

C. Georgakis, Y. Panagakis, M. Pantic. Affective Computing and Intelligent Interaction (ACII), 2nd Int'l Workshop on Automatic Sentiment Analysis in the Wild (WASA) (accepted for publication). San Antonio, Texas, USA, October 2017.

Bibtex reference [hide]
@inproceedings{georgakis_acii,
    author = {C. Georgakis and Y. Panagakis and M. Pantic},
    address = {San Antonio, Texas, USA},
    booktitle = {Affective Computing and Intelligent Interaction (ACII), 2nd Int'l Workshop on Automatic Sentiment Analysis in the Wild (WASA) (accepted for publication)},
    month = {October},
    title = {Behavior Prediction In-The-Wild},
    year = {2017},
}
Endnote reference [hide]

Robust Low-rank Tensor Modelling Using Tucker and CP Decomposition

N. Xue, G. Papamakarios, M. Bahri, Y. Panagakis, S. Zafeiriou. The 25th European Signal Processing Conference (EUSIPCO). Aug 2017.

Bibtex reference [hide]
@inproceedings{Xue_2017_EUSIPCO,
    author = {N. Xue and G. Papamakarios and M. Bahri and Y. Panagakis and S. Zafeiriou},
    booktitle = {The 25th European Signal Processing Conference (EUSIPCO)},
    month = {Aug},
    title = {Robust Low-rank Tensor Modelling Using Tucker and CP Decomposition},
    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]

3D Face Morphable Models "In-the-Wild"

J. Booth, E. Antonakos, S. Ploumpis, G. Trigeorgis, Y. Panagakis, S. Zafeiriou. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). July 2017.

Bibtex reference [hide]
@inproceedings{booth2017itw3dmm,
    author = {J. Booth and E. Antonakos and S. Ploumpis and G. Trigeorgis and Y. Panagakis and S. Zafeiriou},
    booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    month = {July},
    title = {3D Face Morphable Models "In-the-Wild"},
    url = {https://arxiv.org/abs/1701.05360},
    year = {2017},
}
Endnote reference [hide]

Audio-Visual Object Localization and Separation using Low-Rank and Sparsity

J. Pu, Y. Panagakis, S. Petridis, M. Pantic. ICASSP (oral presentation). pp. 2901 - 2905, March 2017.

Bibtex reference [hide]
@inproceedings{puPanagakisPetridisPantic_icassp2017,
    author = {J. Pu and Y. Panagakis and S. Petridis and M. Pantic},
    pages = {2901--2905},
    booktitle = {ICASSP (oral presentation)},
    month = {March},
    title = {Audio-Visual Object Localization and Separation using Low-Rank and Sparsity},
    year = {2017},
}
Endnote reference [hide]

Back to the future: A fully automatic method for robust age progression

C. Sagonas, Y. Panagakis, S. Arunkumar, N. Ratha, S. Zafeiriou. International Conference on Pattern Recognition (ICPR). Oral. December 2016.

Bibtex reference [hide]
@inproceedings{sagonas_icpr_2016,
    author = {C. Sagonas and Y. Panagakis and S. Arunkumar and N. Ratha and S. Zafeiriou},
    booktitle = {International Conference on Pattern Recognition (ICPR)},
    month = {December},
    note = {Oral},
    title = {Back to the future: A fully automatic method for robust age progression},
    year = {2016},
}
Endnote reference [hide]

Fusion and Community Detection in Multi-layer Graphs

V. Gligorijevic, Y. Panagakis, S. Zafeiriou. ICPR (oral). December 2016.

Bibtex reference [hide]
@inproceedings{vladicpr2016,
    author = {V. Gligorijevic and Y. Panagakis and S. Zafeiriou},
    booktitle = {ICPR (oral)},
    month = {December},
    title = {Fusion and Community Detection in Multi-layer Graphs},
    year = {2016},
}
Endnote reference [hide]

Robust Statistical Face Frontalization

C. Sagonas, Y. Panagakis, S. Zafeiriou, M. Pantic. Proceedings of IEEE Int’l Conf. on Computer Vision (ICCV). Santiago, Chile, December 2015.

Bibtex reference [hide]
@inproceedings{rsf_sagonas_iccv_2015,
    author = {C. Sagonas and Y. Panagakis and S. Zafeiriou and M. Pantic},
    address = {Santiago, Chile},
    booktitle = {Proceedings of IEEE Int’l Conf. on Computer Vision (ICCV)},
    month = {December},
    title = {Robust Statistical Face Frontalization},
    year = {2015},
}
Endnote reference [hide]

Face Flow

P. Snape, A. Roussos, Y. Panagakis, S. Zafeiriou. International Conference on Computer Vision (ICCV). pp. 2993 - 3001, December 2015.

Bibtex reference [hide]
@inproceedings{snape2015faceflow,
    author = {P. Snape and A. Roussos and Y. Panagakis and S. Zafeiriou},
    pages = {2993--3001},
    booktitle = {International Conference on Computer Vision (ICCV)},
    month = {December},
    title = {Face Flow},
    year = {2015},
}
Endnote reference [hide]

Automatic Construction Of Robust Spherical Harmonic Subspaces

P. Snape, Y. Panagakis, S. Zafeiriou. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Boston, MA, USA, pp. 91 - 100, June 2015.

Bibtex reference [hide]
@inproceedings{snape2015automatic,
    author = {P. Snape and Y. Panagakis and S. Zafeiriou},
    pages = {91--100},
    address = {Boston, MA, USA},
    booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    month = {June},
    title = {Automatic Construction Of Robust Spherical Harmonic Subspaces},
    year = {2015},
}
Endnote reference [hide]

Generalised Scalable Robust Principal Component Analysis

G. Papamakarios, Y. Panagakis, S. Zafeiriou. British Machine Vision Conference (BMVC 2014). 9 2014.

Bibtex reference [hide]
@inproceedings{GSRPCA,
    author = {G. Papamakarios and Y. Panagakis and S. Zafeiriou},
    booktitle = {British Machine Vision Conference (BMVC 2014)},
    month = {9},
    title = {Generalised Scalable Robust Principal Component Analysis},
    year = {2014},
}
Endnote reference [hide]
%0 Conference Proceedings
%T Generalised Scalable Robust Principal Component Analysis
%A Papamakarios, G.
%A Panagakis, Y.
%A Zafeiriou, S.
%B British Machine Vision Conference (BMVC 2014)
%D 2014
%8 September
%F GSRPCA

Robust Canonical Correlation Analysis: Audio-visual Fusion for Learning Continuous Interest

M. A. Nicolaou, Y. Panagakis, S. Zafeiriou, M. Pantic. Proceedings of IEEE Int’l Conf. Acoustics, Speech and Signal Processing (ICASSP 2014). 2014.

Bibtex reference [hide]
@inproceedings{nicolaou_icassp2014,
    author = {M. A. Nicolaou and Y. Panagakis and S. Zafeiriou and M. Pantic},
    booktitle = {Proceedings of IEEE Int’l Conf. Acoustics, Speech and Signal Processing (ICASSP 2014)},
    title = {Robust Canonical Correlation Analysis: Audio-visual Fusion for Learning Continuous Interest},
    year = {2014},
}
Endnote reference [hide]
%0 Conference Proceedings
%T Robust Canonical Correlation Analysis: Audio-visual Fusion for Learning Continuous Interest
%A Nicolaou, M. A.
%A Panagakis, Y.
%A Zafeiriou, S.
%A Pantic, M.
%B Proceedings of IEEE Int’l Conf. Acoustics, Speech and Signal Processing (ICASSP 2014)
%D 2014
%F nicolaou_icassp2014

RAPS: Robust and Efficient Automatic Construction of Person-Specific Deformable Models

C. Sagonas, Y. Panagakis, S. Zafeiriou, M. Pantic. Proceedings of IEEE Int’l Conf. on Computer Vision & Pattern Recognition (CVPR). June 2014.

Bibtex reference [hide]
@inproceedings{raps,
    author = {C. Sagonas and Y. Panagakis and S. Zafeiriou and M. Pantic},
    booktitle = {Proceedings of IEEE Int’l Conf. on Computer Vision & Pattern Recognition (CVPR)},
    month = {June},
    title = {RAPS: Robust and Efficient Automatic Construction of Person-Specific Deformable Models},
    year = {2014},
}
Endnote reference [hide]

Robust Canonical Time Warping for the Alignment of Grossly Corrupted Sequences

Y. Panagakis, M. A. Nicolaou, S. Zafeiriou, M. Pantic. Proc 26th IEEE Conference on Computer Vision and Pattern Recognition. Portland, Oregon, USA, pp. 540 - 547, June 2013.

Bibtex reference [hide]
@inproceedings{Panagakis_2013_CVPR,
    author = {Y. Panagakis and M. A. Nicolaou and S. Zafeiriou and M. Pantic},
    pages = {540--547},
    address = {Portland, Oregon, USA},
    booktitle = {Proc 26th IEEE Conference on Computer Vision and Pattern Recognition},
    month = {June},
    title = {Robust Canonical Time Warping for the Alignment of Grossly Corrupted Sequences},
    year = {2013},
}
Endnote reference [hide]
%0 Conference Proceedings
%T Robust Canonical Time Warping for the Alignment of Grossly Corrupted Sequences
%A Panagakis, Y.
%A Nicolaou, M. A.
%A Zafeiriou, S.
%A Pantic, M.
%B Proc 26th IEEE Conference on Computer Vision and Pattern Recognition
%D 2013
%8 June
%C Portland, Oregon, USA
%F Panagakis_2013_CVPR
%P 540-547

Other publications

Temporal Archetypal Analysis for Action Segmentation

E. Fotiadou, Y. Panagakis, M. Pantic. 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]