Mihalis A. Nicolaou

Dr. Mihalis A. Nicolaou

Position:

Past Member

New Position:

Lecturer at Goldsmiths, University of London

Email:

Biography

I am a Research Assistant/PhD student at the Department of Computing @ Imperial College, under the supervision of Prof Maja Pantic. I got my BSc (Ptychion) at the Department of Informatics & Telecommunications @ the University of Athens and my MSc in Advanced Computing (Research Stream) @ Imperial College. I am mostly interested in spontaneous continuous and dimensional (but also discrete or quantised) multimodal emotion recognition. In the affective computing area, fields such as psychology, cognitive sciences and computer science are highly amalgamated, in a way as art and science were during the early Renaissance.

Publications

Book chapters

Machine Learning Methods for Social Signal Processing

O. Rudovic, M. A. Nicolaou, V. Pavlovic. Social Signal Processing. Cambridge University Press, 2014.

Bibtex reference [hide]
@inbook{mlspp_chapter2014,
    author = {O. Rudovic and M. A. Nicolaou and V. Pavlovic},
    booktitle = {Social Signal Processing},
    publisher = {Cambridge University Press},
    title = {Machine Learning Methods for Social Signal Processing},
    year = {2014},
}
Endnote reference [hide]
%0 Book Section
%A Rudovic, O.
%A Nicolaou, M. A.
%A Pavlovic, V.
%B Social Signal Processing
%D 2014
%I Cambridge University Press
%F mlspp_chapter2014

Continuous Analysis of Affect from Voice and Face

H. Gunes, M. A. Nicolaou, M. Pantic. editors: A. Salah, T. Gevers. Computer Analysis of Human Behavior. Springer-Verlag, pp. 255 - 292, 2011.

Bibtex reference [hide]
@inbook{GunesEtAl2011ff,
    author = {H. Gunes and M. A. Nicolaou and M. Pantic},
    pages = {255--292},
    booktitle = {Computer Analysis of Human Behavior},
    editor = {A. Salah and T. Gevers},
    publisher = {Springer-Verlag},
    title = {Continuous Analysis of Affect from Voice and Face},
    year = {2011},
}
Endnote reference [hide]
%0 Book Section
%A Gunes, H.
%A Nicolaou, M. A.
%A Pantic, M.
%E Salah, A.
%E Gevers, T.
%B Computer Analysis of Human Behavior
%D 2011
%I Springer-Verlag
%F GunesEtAl2011ff
%P 255-292

Journal articles

Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond

D. Kollias, P. Tzirakis, M. A. Nicolaou, A. Papaioannou, G. Zhao, B. Schuller, I. Kotsia, S. Zafeiriou. International Journal of Computer Vision. feb 2019.

Bibtex reference [hide]
@article{Kollias_2019,
    author = {D. Kollias and P. Tzirakis and M. A. Nicolaou and A. Papaioannou and G. Zhao and B. Schuller and I. Kotsia and S. Zafeiriou},
    journal = {International Journal of Computer Vision},
    month = {feb},
    publisher = {Springer Nature},
    title = {Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond},
    url = {https://doi.org/10.1007/s11263-019-01158-4},
    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]

End-to-End Multimodal Emotion Recognition using Deep Neural Networks

P. Tzirakis, G. Trigeorgis, M. A. Nicolaou, B. Schuller, S. Zafeiriou. IEEE Journal of Selected Topics in Signal Processing 2017. January 2018.

Bibtex reference [hide]
@article{endtoendtzirakis2017,
    author = {P. Tzirakis and G. Trigeorgis and M. A. Nicolaou and B. Schuller and S. Zafeiriou},
    journal = {IEEE Journal of Selected Topics in Signal Processing 2017},
    month = {January},
    title = {End-to-End Multimodal Emotion Recognition using Deep Neural Networks},
    year = {2018},
}
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]

End-to-end multimodal emotion recognition using deep neural networks

P. Tzirakis, G. Trigeorgis, M. A. Nicolaou, B. Schuller, S. Zafeiriou. IEEE Journal of Selected Topics in Signal Processing. 11(8): pp. 1301 - 1309, 2017.

Bibtex reference [hide]
@article{tzirakis2017end,
    author = {P. Tzirakis and G. Trigeorgis and M. A. Nicolaou and B. Schuller and S. Zafeiriou},
    pages = {1301--1309},
    journal = {IEEE Journal of Selected Topics in Signal Processing},
    number = {8},
    publisher = {IEEE},
    title = {End-to-end multimodal emotion recognition using deep neural networks},
    volume = {11},
    year = {2017},
}
Endnote reference [hide]

End-to-end multimodal emotion recognition using deep neural networks

P. Tzirakis, G. Trigeorgis, M. A. Nicolaou, B. Schuller, S. Zafeiriou. IEEE Journal of Selected Topics in Signal Processing. 11(8): pp. 1301 - 1309, 2017.

Bibtex reference [hide]
@article{tzirakis2017end_duplicate,
    author = {P. Tzirakis and G. Trigeorgis and M. A. Nicolaou and B. Schuller and S. Zafeiriou},
    pages = {1301--1309},
    journal = {IEEE Journal of Selected Topics in Signal Processing},
    number = {8},
    publisher = {IEEE},
    title = {End-to-end multimodal emotion recognition using deep neural networks},
    volume = {11},
    year = {2017},
}
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]

Probabilistic Slow Features for Behavior Analysis

L. Zafeiriou, M. A. Nicolaou, S. Zafeiriou, S. Nikitidis, M. Pantic. IEEE Transactions on Neural Networks and Learning Systems. 2016.

Bibtex reference [hide]
@article{psfaba,
    journal = {IEEE Transactions on Neural Networks and Learning Systems},
    title = {Probabilistic Slow Features for Behavior Analysis},
    year = {2016},
}
Endnote reference [hide]
%0 Journal Article
%T Probabilistic Slow Features for Behavior Analysis
%J IEEE Transactions on Neural Networks and Learning Systems
%D 2016
%F psfaba

Dynamic Probabilistic CCA for Analysis of Affective Behaviour and Fusion of Continuous Annotations

M. A. Nicolaou, V. Pavlovic, M. Pantic. IEEE Transactions on Pattern Analysis and Machine Intelligence. 36(7): pp. 1299 - 1311, 2014.

Bibtex reference [hide]
@article{nicolaou_tpamiDPCCA,
    author = {M. A. Nicolaou and V. Pavlovic and M. Pantic},
    pages = {1299--1311},
    journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
    number = {7},
    title = {Dynamic Probabilistic CCA for Analysis of Affective Behaviour and Fusion of Continuous Annotations},
    volume = {36},
    year = {2014},
}
Endnote reference [hide]
%0 Journal Article
%T Dynamic Probabilistic CCA for Analysis of Affective Behaviour and Fusion of Continuous Annotations
%A Nicolaou, M. A.
%A Pavlovic, V.
%A Pantic, M.
%J IEEE Transactions on Pattern Analysis and Machine Intelligence
%D 2014
%V 36
%N 7
%F nicolaou_tpamiDPCCA
%P 1299-1311

Output-associative RVM regression for dimensional and continuous emotion prediction

M. A. Nicolaou, H. Gunes, M. Pantic. Image and Vision Computing, Special Issue on The Best of Automatic Face and Gesture Recognition 2011. 30: pp. 186 - 196, Issue 3. 2012.

Bibtex reference [hide]
@article{Nicolaou_OA-RVM_IVCJ_2012,
    author = {M. A. Nicolaou and H. Gunes and M. Pantic},
    pages = {186--196},
    journal = {Image and Vision Computing, Special Issue on The Best of Automatic Face and Gesture Recognition 2011},
    note = {Issue 3},
    title = {Output-associative RVM regression for dimensional and continuous emotion prediction},
    volume = {30},
    year = {2012},
}
Endnote reference [hide]
%0 Journal Article
%T Output-associative RVM regression for dimensional and continuous emotion prediction
%A Nicolaou, M. A.
%A Gunes, H.
%A Pantic, M.
%J Image and Vision Computing, Special Issue on The Best of Automatic Face and Gesture Recognition 2011
%D 2012
%V 30
%F Nicolaou_OA-RVM_IVCJ_2012
%O Issue 3
%P 186-196

Continuous Prediction of Spontaneous Affect from Multiple Cues and Modalities in Valence-Arousal Space

M. A. Nicolaou, H. Gunes, M. Pantic. IEEE Transactions on Affective Computing. pp. 92 - 105, 2011.

Bibtex reference [hide]
@article{NicolaouEtAlTAC2011,
    author = {M. A. Nicolaou and H. Gunes and M. Pantic},
    pages = {92--105},
    journal = {IEEE Transactions on Affective Computing},
    title = {Continuous Prediction of Spontaneous Affect from Multiple Cues and Modalities in Valence-Arousal Space},
    year = {2011},
}
Endnote reference [hide]
%0 Journal Article
%T Continuous Prediction of Spontaneous Affect from Multiple Cues and Modalities in Valence-Arousal Space
%A Nicolaou, M. A.
%A Gunes, H.
%A Pantic, M.
%J IEEE Transactions on Affective Computing
%D 2011
%F NicolaouEtAlTAC2011
%P 92-105

Conference articles

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.

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

Multi-Attribute Probabilistic Linear Discriminant Analysis for 3D Facial Shapes

S. Moschoglou, S. Ploumpis, M. A. Nicolaou, S. Zafeiriou. ACCV 2018. 2018.

Bibtex reference [hide]
@inproceedings{moschoglou2018a,
    author = {S. Moschoglou and S. Ploumpis and M. A. Nicolaou and S. Zafeiriou},
    booktitle = {ACCV 2018},
    title = {Multi-Attribute Probabilistic Linear Discriminant Analysis for 3D Facial Shapes},
    year = {2018},
}
Endnote reference [hide]

Aff-Wild: Valence and Arousal `In-the-Wild' Challenge

S. Zafeiriou, D. Kollias, M. A. Nicolaou, A. Papaioannou, G. Zhao, I. Kotsia. 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, jul 2017.

Bibtex reference [hide]
@inproceedings{kollias_2017,
    author = {S. Zafeiriou and D. Kollias and M. A. Nicolaou and A. Papaioannou and G. Zhao and I. Kotsia},
    booktitle = {2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
    month = {jul},
    publisher = {IEEE},
    title = {Aff-Wild: Valence and Arousal `In-the-Wild' Challenge},
    url = {https://doi.org/10.1109%2Fcvprw.2017.248},
    year = {2017},
}
Endnote reference [hide]

Recognition of Affect in the Wild Using Deep Neural Networks

D. Kollias, M. A. Nicolaou, I. Kotsia, G. Zhao, S. Zafeiriou. 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, jul 2017.

Bibtex reference [hide]
@inproceedings{Kollias_2017_ii,
    author = {D. Kollias and M. A. Nicolaou and I. Kotsia and G. Zhao and S. Zafeiriou},
    booktitle = {2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
    month = {jul},
    publisher = {IEEE},
    title = {Recognition of Affect in the Wild Using Deep Neural Networks},
    url = {https://doi.org/10.1109%2Fcvprw.2017.247},
    year = {2017},
}
Endnote reference [hide]

Dynamic Probabilistic Linear Discriminant Analysis For Video Classification

A. Fabris, M. A. Nicolaou, I. Kotsia, S. Zafeiriou. ICASSP 2017, accepted for publication. March 2017.

Bibtex reference [hide]
@inproceedings{dplda,
    booktitle = {ICASSP 2017, accepted for publication},
    month = {March},
    title = {Dynamic Probabilistic Linear Discriminant Analysis For Video Classification},
    year = {2017},
}
Endnote reference [hide]

Facial Affect ``in-the-wild": A survey and a new database

S. Zafeiriou, A. Papaioannou, I. Kotsia, M. A. Nicolaou, G. Zhao. International Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Affect "in-the-wild" Workshop. June 2016.

Bibtex reference [hide]
@inproceedings{zafeiriou_in_the_wild_2016,
    author = {S. Zafeiriou and A. Papaioannou and I. Kotsia and M. A. Nicolaou and G. Zhao},
    booktitle = {International Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Affect "in-the-wild" Workshop},
    month = {June},
    title = {Facial Affect ``in-the-wild": A survey and a new database},
    year = {2016},
}
Endnote reference [hide]

Deep Canonical Time Warping

G. Trigeorgis, M. A. Nicolaou, S. Zafeiriou, B. Schuller. Proceedings of IEEE International Conference on Computer Vision & Pattern Recognition (CVPR'16). June 2016.

Bibtex reference [hide]
@inproceedings{trigeorgis2016DCTW,
    booktitle = {Proceedings of IEEE International Conference on Computer Vision & Pattern Recognition (CVPR'16)},
    month = {June},
    title = {Deep Canonical Time Warping},
    year = {2016},
}
Endnote reference [hide]

Mnemonic Descent Method: A recurrent process applied for end-to-end face alignment

G. Trigeorgis, P. Snape, M. A. Nicolaou, E. Antonakos, S. Zafeiriou. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Las Vegas, NV, USA, pp. 4177 - 4187, June 2016.

Bibtex reference [hide]
@inproceedings{trigeorgis2016mnemonic,
    author = {G. Trigeorgis and P. Snape and M. A. Nicolaou and E. Antonakos and S. Zafeiriou},
    pages = {4177--4187},
    address = {Las Vegas, NV, USA},
    booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    month = {June},
    title = {Mnemonic Descent Method: A recurrent process applied for end-to-end face alignment},
    year = {2016},
}
Endnote reference [hide]

A Unified Framework for Probabilistic Component Analysis

M. A. Nicolaou, S. Zafeiriou, M. Pantic. Proceedings of the European Conf. Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD’14) . Nancy, France, pp. 469 - 484, September 2014.

Bibtex reference [hide]
@inproceedings{MIHALISAN_ECML2014,
    author = {M. A. Nicolaou and S. Zafeiriou and M. Pantic},
    pages = {469--484},
    address = {Nancy, France},
    booktitle = {Proceedings of the European Conf. Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD’14) },
    month = {September},
    title = {A Unified Framework for Probabilistic Component Analysis},
    year = {2014},
}
Endnote reference [hide]
%0 Conference Proceedings
%T A Unified Framework for Probabilistic Component Analysis
%A Nicolaou, M. A.
%A Zafeiriou, S.
%A Pantic, M.
%B Proceedings of the European Conf. Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD’14)
%D 2014
%8 September
%C Nancy, France
%F MIHALISAN_ECML2014
%P 469-484

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

Correlated-Spaces Regression for Learning Continuous Emotion Dimensions

M. A. Nicolaou, S. Zafeiriou, M. Pantic. The 21st ACM International Conference on Multimedia, ACM MM 2013. 2013.

Bibtex reference [hide]
@inproceedings{Nicolaouetal_ACM2013,
    author = {M. A. Nicolaou and S. Zafeiriou and M. Pantic},
    booktitle = {The 21st ACM International Conference on Multimedia, ACM MM 2013},
    title = {Correlated-Spaces Regression for Learning Continuous Emotion Dimensions},
    year = {2013},
}
Endnote reference [hide]
%0 Conference Proceedings
%T Correlated-Spaces Regression for Learning Continuous Emotion Dimensions
%A Nicolaou, M. A.
%A Zafeiriou, S.
%A Pantic, M.
%B The 21st ACM International Conference on Multimedia, ACM MM 2013
%D 2013
%F Nicolaouetal_ACM2013

Learning Slow Features for Behaviour Analysis

L. Zafeiriou, M. A. Nicolaou, S. Zafeiriou, S. Nikitidis, M. Pantic. Proceedings of IEEE Int’l Conf. on Computer Vision (ICCV 2013). Sydney, Australia , November 2013.

Bibtex reference [hide]
@inproceedings{SFA_iccv2013,
    author = {L. Zafeiriou and M. A. Nicolaou and S. Zafeiriou and S. Nikitidis and M. Pantic},
    address = {Sydney, Australia },
    booktitle = {Proceedings of IEEE Int’l Conf. on Computer Vision (ICCV 2013)},
    month = {November },
    title = {Learning Slow Features for Behaviour Analysis },
    year = {2013},
}
Endnote reference [hide]
%0 Conference Proceedings
%T Learning Slow Features for Behaviour Analysis
%A Zafeiriou, L.
%A Nicolaou, M. A.
%A Zafeiriou, S.
%A Nikitidis, S.
%A Pantic, M.
%B Proceedings of IEEE Int’l Conf. on Computer Vision (ICCV 2013)
%D 2013
%8 November
%C Sydney, Australia
%F SFA_iccv2013

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

Dynamic Probabilistic CCA for Analysis of Affective Behaviour

M. A. Nicolaou, V. Pavlovic, M. Pantic. Proceedings of the 12th European Conference on Computer Vision, ECCV 2012. . Florence, Italy, pp. 98 - 111, October 2012.

Bibtex reference [hide]
@inproceedings{NicolaouEtAlECCV2012,
    author = {M. A. Nicolaou and V. Pavlovic and M. Pantic},
    pages = {98--111},
    address = {Florence, Italy},
    booktitle = {Proceedings of the 12th European Conference on Computer Vision, ECCV 2012. },
    month = {October},
    title = {Dynamic Probabilistic CCA for Analysis of Affective Behaviour},
    year = {2012},
}
Endnote reference [hide]
%0 Conference Proceedings
%T Dynamic Probabilistic CCA for Analysis of Affective Behaviour
%A Nicolaou, M. A.
%A Pavlovic, V.
%A Pantic, M.
%B Proceedings of the 12th European Conference on Computer Vision, ECCV 2012.
%D 2012
%8 October
%C Florence, Italy
%F NicolaouEtAlECCV2012
%P 98-111

A Multi-layer Hybrid Framework for Dimensional Emotion Classification

M. A. Nicolaou, H. Gunes, M. Pantic. Proceedings of the ACM Int’l Conf. on Multimedia. Scottsdale, USA, pp. 933 - 936, November 2011.

Bibtex reference [hide]
@inproceedings{NicolaouEtAlACM2011,
    author = {M. A. Nicolaou and H. Gunes and M. Pantic},
    pages = {933--936},
    address = {Scottsdale, USA},
    booktitle = {Proceedings of the ACM Int’l Conf. on Multimedia},
    month = {November},
    title = {A Multi-layer Hybrid Framework for Dimensional Emotion Classification},
    year = {2011},
}
Endnote reference [hide]
%0 Conference Proceedings
%T A Multi-layer Hybrid Framework for Dimensional Emotion Classification
%A Nicolaou, M. A.
%A Gunes, H.
%A Pantic, M.
%B Proceedings of the ACM Int’l Conf. on Multimedia
%D 2011
%8 November
%C Scottsdale, USA
%F NicolaouEtAlACM2011
%P 933-936

Designing Frameworks for Automatic Affect Prediction and Classification in Dimensional Space

M. A. Nicolaou, H. Gunes, M. Pantic. Proceedings of IEEE Int’l Conf. Computer Vision and Pattern Recognition (CVPR-W’11), Workshop on Gesture Recognition. Colorado Springs, USA, pp. 20 - 26, June 2011.

Bibtex reference [hide]
@inproceedings{NicolaouEtAlCVPR2011,
    author = {M. A. Nicolaou and H. Gunes and M. Pantic},
    pages = {20--26},
    address = {Colorado Springs, USA},
    booktitle = {Proceedings of IEEE Int’l Conf. Computer Vision and Pattern Recognition (CVPR-W’11), Workshop on Gesture Recognition},
    month = {June},
    title = {Designing Frameworks for Automatic Affect Prediction and Classification in Dimensional Space},
    year = {2011},
}
Endnote reference [hide]
%0 Conference Proceedings
%T Designing Frameworks for Automatic Affect Prediction and Classification in Dimensional Space
%A Nicolaou, M. A.
%A Gunes, H.
%A Pantic, M.
%B Proceedings of IEEE Int’l Conf. Computer Vision and Pattern Recognition (CVPR-W’11), Workshop on Gesture Recognition
%D 2011
%8 June
%C Colorado Springs, USA
%F NicolaouEtAlCVPR2011
%P 20-26

Output-Associative RVM Regression for Dimensional and Continuous Emotion Prediction

M. A. Nicolaou, H. Gunes, M. Pantic. Proceedings of IEEE International Conference on Automatic Face and Gesture Recognition (FG'11). Santa Barbara, CA, USA, pp. 16 - 23, March 2011.

Bibtex reference [hide]
@inproceedings{NicolaouEtAlFG2011,
    author = {M. A. Nicolaou and H. Gunes and M. Pantic},
    pages = {16--23},
    address = {Santa Barbara, CA, USA},
    booktitle = {Proceedings of IEEE International Conference on Automatic Face and Gesture Recognition (FG'11)},
    month = {March},
    title = {Output-Associative RVM Regression for Dimensional and Continuous Emotion Prediction},
    year = {2011},
}
Endnote reference [hide]
%0 Conference Proceedings
%T Output-Associative RVM Regression for Dimensional and Continuous Emotion Prediction
%A Nicolaou, M. A.
%A Gunes, H.
%A Pantic, M.
%B Proceedings of IEEE International Conference on Automatic Face and Gesture Recognition (FG?11)
%D 2011
%8 March
%C Santa Barbara, CA, USA
%F NicolaouEtAlFG2011
%P 16-23

Audio-visual Classification and Fusion of Spontaneous Affect Data in Likelihood Space

M. A. Nicolaou, H. Gunes, M. Pantic. Proceedings of Int'l Conf. Pattern Recognition (ICPR'10). Istanbul, Turkey, pp. 3695 - 3699, August 2010.

Bibtex reference [hide]
@inproceedings{Nicolaou2010acafo,
    author = {M. A. Nicolaou and H. Gunes and M. Pantic},
    pages = {3695--3699},
    address = {Istanbul, Turkey},
    booktitle = {Proceedings of Int'l Conf. Pattern Recognition (ICPR'10)},
    month = {August},
    title = {Audio-visual Classification and Fusion of Spontaneous Affect Data in Likelihood Space},
    year = {2010},
}
Endnote reference [hide]
%0 Conference Proceedings
%T Audio-visual Classification and Fusion of Spontaneous Affect Data in Likelihood Space
%A Nicolaou, M. A.
%A Gunes, H.
%A Pantic, M.
%B Proceedings of Int?l Conf. Pattern Recognition (ICPR?10)
%D 2010
%8 August
%C Istanbul, Turkey
%F Nicolaou2010acafo
%P 3695-3699

Automatic Segmentation of Spontaneous Data using Dimensional Labels from Multiple Coders

M. A. Nicolaou, H. Gunes, M. Pantic. Proceedings of LREC Int'l Workshop on Multimodal Corpora: Advances in Capturing, Coding and Analyzing Multimodality. Valletta, Malta, pp. 43 - 48, May 2010.

Bibtex reference [hide]
@inproceedings{A2010asosd,
    author = {M. A. Nicolaou and H. Gunes and M. Pantic},
    pages = {43--48},
    address = {Valletta, Malta},
    booktitle = {Proceedings of LREC Int'l Workshop on Multimodal Corpora: Advances in Capturing, Coding and Analyzing Multimodality},
    month = {May},
    title = {Automatic Segmentation of Spontaneous Data using Dimensional Labels from Multiple Coders},
    year = {2010},
}
Endnote reference [hide]
%0 Conference Proceedings
%T Automatic Segmentation of Spontaneous Data using Dimensional Labels from Multiple Coders
%A Nicolaou, M. A.
%A Gunes, H.
%A Pantic, M.
%B Proceedings of LREC Int?l Workshop on Multimodal Corpora: Advances in Capturing, Coding and Analyzing Multimodality
%D 2010
%8 May
%C Valletta, Malta
%F A2010asosd
%P 43-48