Dr Mihalis Nicolaou

Staff details

Position Lecturer
Department Computing
Email m.nicolaou (@gold.ac.uk)
Dr Mihalis Nicolaou

Mihalis A. Nicolaou is lecturer in Computer Science. Previously, Mihalis was a postdoctoral research associate at Imperial College London (Department of Computing), where he also completed his PhD.

For more information, see Mihalis Nicolaou's website

Research Interests

Mihalis' research interests span the areas of machine learning and computer vision, particularly motivated by problems arising in the audio-visual analysis of affective behaviour under real-world conditions.  

Publications

Book Section

Rudovic, O.; Nicolaou, Mihalis and Pavlovic, V.. 2017. Machine Learning Methods for Social Signal Processing. In: Judee K. Burgoon; Nadia Magnenat-Thalmann; Maja Pantic and Alessandro Vinciarelli, eds. Social Signal Processing. Cambridge University Press, pp. 234-254. ISBN 9781316676202

Article

Kollias, Dimitrios; Tzirakis, Panagiotis; Nicolaou, Mihalis; Papaioannou, Athanasios; Zhao, Guoying; Schuller, Björn; Kotsia, Irene and Zafeiriou, Stefanos. 2019. Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond. International Journal of Computer Vision, ISSN 0920-5691

Moschoglou, Stylianos; Ververas, Evangelos; Panagakis, Yannis; Nicolaou, Mihalis and Zafeiriou, Stefanos. 2018. Multi-Attribute Robust Component Analysis for Facial UV Maps. IEEE Journal of Selected Topics in Signal Processing, 12(6), 1324 -1337. ISSN 1932-4553

Trigeorgis, G.; Nicolaou, M. A.; Zafeiriou, S. and Schuller, B.. 2017. Deep Canonical Time Warping for simultaneous alignment and representation learning of sequences. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(5), pp. 1128-1138. ISSN 0162-8828

Panagakis, Yannis; Nicolaou, Mihalis; Zafeiriou, Stefanos and Pantic, Maja. 2016. Robust Correlated and Individual Component Analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(8), pp. 1665-1678. ISSN 0162-8828

Zafeiriou, S.; Papaioannou, A.; Kotsia, I.; Nicolaou, M. A. and Zhao, G.. 2016. Facial Affect ``in-the-wild": A survey and a new database. Proceedings of IEEE International Conference on Computer Vision & Pattern Recognition Workshops (CVPRW '16), Affect in the wild workshop.,

Trigeorgis, George; Ringeval, Fabien; Brueckner, Raymond; Marchi, Erik; Nicolaou, Mihalis; Schuller, Björn and Zafeiriou, Stefanos. 2016. Adieu Features? End-to- End Speech Emotion Recognition using a Deep Convolutional Recurrent Network. Proceedings of IEEE Int'l Conf. Acoustics, Speech and Signal Processing (ICASSP), 2016,

Zafeiriou, Lazaros; Nicolaou, Mihalis; Zafeiriou, Stefanos; Nikitidis, Symeon and Pantic, Maja. 2015. Probabilistic Slow Features for Behavior Analysis. IEEE Transactions on Neural Networks and Learning Systems, 27(5), pp. 1034-1048. ISSN 2162-237X

Nicolaou, Mihalis; Zafeiriou, Stefanos and Pantic, Maja. 2014. A Unified Framework for Probabilistic Component Analysis. Proceedings of the European Conf. Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD’14), pp. 469-484.

Nicolaou, Mihalis; Pavlovic, Vladimir and Pantic, Maja. 2014. Dynamic Probabilistic CCA for Analysis of Affective Behaviour and Fusion of Continuous Annotations. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(7), pp. 1299-1311. ISSN 0162-8828

Nicolaou, Mihalis; Panagakis, Yannis; Zafeiriou, Stefanos and Pantic, Maja. 2014. Robust Canonical Correlation Analysis: Audio-visual Fusion for Learning Continuous Interest. Proceedings of IEEE Int’l Conf. Acoustics, Speech and Signal Processing (ICASSP 2014),

Conference or Workshop Item

Milne, Antony; Farrahi, Katayoun and Nicolaou, Mihalis. 2018. 'Less is More: Univariate Modelling to Detect Early Parkinson's Disease from Keystroke Dynamics'. In: Discovery Science 2018. Limassol, Cyprus.

Oroojeni, Hooman; Majid al-Rifaie, Mohammad and Nicolaou, Mihalis. 2018. 'Deep Neuroevolution: Training Deep Neural Networks for False Alarm Detection in Intensive Care Units'. In: 26th European Signal Processing Conference (EUSIPCO 2018). Rome, Italy.

Ringer, Charles and Nicolaou, Mihalis. 2018. 'Deep Unsupervised Multi-View Detection of Video Game Stream Highlights'. In: Foundations on Digital Games 2018. Malmo, Sweden 7-10 August 2018.

Nicolaou, Mihalis and Ringer, Charles. 2018. 'Streaming Behaviour: Live Streaming as a Paradigm for Multi-view Analysis of Emotional and Social Signals'. In: Foundations on Digital Games 2018, Twitch Workshop. Malmo, Sweden.

Milne, Antony; Mihalis, Nicolao and Farrahi, Katayoun. 2017. 'Discovering the typing behaviour of Parkinson's patients using topic models'. In: Social Informatics 2017. Oxford, United Kingdom.

Moschoglou, S.; Nicolaou, M. A.; Panagakis, Y. and Zafeiriou, S.. 2017. 'Initializing Probabilistic Linear Discriminant Analysis'. In: 25th European Signal Processing Conference (EUSIPCO). Kos, Greece.

Dimitrios, Kollias; Mihalis, Nicolao; Irene, Kotsia; Guoying, Zhao and Stefanos, Zafeiriou. 2017. 'Recognition of Affect in the wild using Deep Neural Networks'. In: CVPR (Computer Vision and Pattern Recognition). Hawaii, United States 21 - 26 July 2017.

Stefanos, Zafeiriou; Dimitrios, Kollias; Mihalis, Nicolao; Athanasios, Papaioannou; Guoying, Zhao and Irene, Kotsia. 2017. 'Aff-Wild: Valence and Arousal ‘in-the-wild’ Challenge'. In: CVPR 2017. Hawaii, United States 21 to July 26.

Fabris, Alessandro; Nicolaou, Mihalis; Kotsia, Irene and Zafeiriou, Stefanos. 2017. 'Dynamic Probabilistic Linear Discriminant Analysis For Video Classification'. In: Proceedings of IEEE Int'l Conf. Acoustics, Speech and Signal Processing (ICASSP). New Orleans, United States 5-9 Mar 2017.

George, Trigeorgis; Nicolaou, Mihalis; Zafeiriou, Stefanos and Schuller, Bjorn. 2016. 'Deep Canonical Time Warping'. In: Proceedings of IEEE International Conference on Computer Vision & Pattern Recognition (CVPR'16). Las Vegas, United States 27-30 June 2016.

Trigeorgis, G.; Snape, P.; Nicolaou, M. A.; Antonakos, E. and Zafeiriou, S.. 2016. 'Mnemonic Descent Method: A recurrent process applied for end-to-end face alignment'. In: Proceedings of IEEE International Conference on Computer Vision & Pattern Recognition (CVPR'16). Las Vegas, United States.