Dr. Yannis Panagakis
Position:
Affiliated Academic
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
@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},
}
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.
@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},
}
@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},
}
@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},
}
@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},
}
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.
@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},
}
@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},
}
@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},
}
@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},
}
@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},
}
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.
@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},
}
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.
@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},
}
@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},
}
@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},
}
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.
@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},
}
@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},
}
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.
@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},
}
Conference articles
@inproceedings{ECCV2022Polynomial,
booktitle = {ECCV},
title = {Augmenting Deep Classifiers with Polynomial Neural Networks},
year = {2022},
}
@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},
}
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.
@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},
}
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.
@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},
}
@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},
}
@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},
}
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.
@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},
}
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.
@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},
}
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.
@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},
}
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.
@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},
}
@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},
}
@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},
}
@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},
}
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.
@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},
}
Fusion and Community Detection in Multi-layer Graphs
V. Gligorijevic,
Y. Panagakis,
S. Zafeiriou.
ICPR (oral).
December
2016.
@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},
}
@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},
}
@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},
}
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.
@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},
}
Generalised Scalable Robust Principal Component Analysis
G. Papamakarios,
Y. Panagakis,
S. Zafeiriou.
British Machine Vision Conference (BMVC 2014).
9
2014.
@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},
}
%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.
@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},
}
%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.
@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},
}
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.
@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},
}
%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.
@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},
}