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ORCIDMihalis A. Nicolaou
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2020 – today
- 2024
[j17]Georgia Kourmouli
, Nikos Kostagiolas, Mihalis A. Nicolaou, Yannis Panagakis:
Locality-Preserving Directions for Interpreting the Latent Space of Satellite Image GANs. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024)- [j16]James Oldfield, Christos Tzelepis, Yannis Panagakis, Mihalis A. Nicolaou, Ioannis Patras:
Bilinear Models of Parts and Appearances in Generative Adversarial Networks. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8568-8579 (2024) - [c42]Panagiotis Koromilas, Giorgos Bouritsas, Theodoros Giannakopoulos, Mihalis Nicolaou, Yannis Panagakis:
Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses. ICML 2024 - [i18]James Oldfield, Markos Georgopoulos, Grigorios G. Chrysos, Christos Tzelepis, Yannis Panagakis, Mihalis A. Nicolaou, Jiankang Deng, Ioannis Patras:
Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization. CoRR abs/2402.12550 (2024) - [i17]Panagiotis Koromilas, Giorgos Bouritsas, Theodoros Giannakopoulos, Mihalis Nicolaou, Yannis Panagakis:
Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses. CoRR abs/2405.18045 (2024) - 2023
- [j15]Giannis Ashiotis, Pantelis Georgiades, Theodoros Christoudias, Mihalis A. Nicolaou:
Toward Explainable and Transferable Deep Downscaling of Atmospheric Pollutants. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [c41]Valeria Filippou, Mihalis A. Nicolaou, Nikolas Theodosiou, Georgia G. Panayiotou, Elena Constantinou, Marios Theodorou, Maria Panteli:
Multimodal Prediction of Alexithymia from Physiological and Audio Signals. ACIIW 2023: 1-8 - [c40]Panagiotis Koromilas, Mihalis A. Nicolaou, Theodoros Giannakopoulos, Yannis Panagakis:
MMATR: A Lightweight Approach for Multimodal Sentiment Analysis Based on Tensor Methods. ICASSP 2023: 1-5 - [c39]James Oldfield, Christos Tzelepis, Yannis Panagakis, Mihalis Nicolaou, Ioannis Patras:
PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs. ICLR 2023 - [c38]James Oldfield, Christos Tzelepis, Yannis Panagakis, Mihalis Nicolaou, Ioannis Patras:
Parts of Speech-Grounded Subspaces in Vision-Language Models. NeurIPS 2023 - [i16]James Oldfield, Christos Tzelepis, Yannis Panagakis, Mihalis A. Nicolaou, Ioannis Patras:
Parts of Speech-Grounded Subspaces in Vision-Language Models. CoRR abs/2305.14053 (2023) - [i15]Georgia Kourmouli, Nikos Kostagiolas, Yannis Panagakis, Mihalis A. Nicolaou:
Locality-preserving Directions for Interpreting the Latent Space of Satellite Image GANs. CoRR abs/2309.14883 (2023) - 2022
- [j14]James Oldfield, Yannis Panagakis, Mihalis A. Nicolaou:
Adversarial Learning of Disentangled and Generalizable Representations of Visual Attributes. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3498-3509 (2022) - [c37]Andrea Littardi, Anders Hildeman, Mihalis A. Nicolaou:
Deep Learning on the Sphere for Multi-model Ensembling of Significant Wave Height. ICASSP 2022: 3828-3832 - [c36]Valeria Filippou, Nikolas Theodosiou, Mihalis Nicolaou, Elena Constantinou, Georgia G. Panayiotou, Marios Theodorou:
A Wavelet-based Approach for Multimodal Prediction of Alexithymia from Physiological Signals. ICMI Companion 2022: 177-184 - [c35]Christos Papadopoulos, Yannis Panagakis, Manolis Koubarakis, Mihalis Nicolaou:
Efficient Learning of Multiple NLP Tasks via Collective Weight Factorization on BERT. NAACL-HLT (Findings) 2022: 882-890 - [c34]Giannis Ashiotis, Evgenios Tsigkanos, Theodoros Christoudias, Mihalis A. Nicolaou:
AI for Air Quality: Leveraging Data Fusion for Deep Downscaling of Atmospheric Pollutants. MACLEAN@PKDD/ECML 2022 - [c33]Nikos Kostagiolas, Mihalis Nicolaou, Yannis Panagakis:
Unsupervised Discovery of Semantic Concepts in Satellite Imagery with Style-based Wavelet-driven Generative Models. SETN 2022: 36:1-36:9 - [i14]James Oldfield, Christos Tzelepis, Yannis Panagakis, Mihalis A. Nicolaou, Ioannis Patras:
PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs. CoRR abs/2206.00048 (2022) - [i13]Nikos Kostagiolas, Mihalis A. Nicolaou, Yannis Panagakis:
Unsupervised Discovery of Semantic Concepts in Satellite Imagery with Style-based Wavelet-driven Generative Models. CoRR abs/2208.02089 (2022) - 2021
- [j13]Markos Georgopoulos, James Oldfield, Mihalis A. Nicolaou, Yannis Panagakis, Maja Pantic:
Mitigating Demographic Bias in Facial Datasets with Style-Based Multi-attribute Transfer. Int. J. Comput. Vis. 129(7): 2288-2307 (2021) - [j12]Yannis Panagakis, Jean Kossaifi, Grigorios G. Chrysos, James Oldfield, Mihalis A. Nicolaou, Anima Anandkumar, Stefanos Zafeiriou:
Tensor Methods in Computer Vision and Deep Learning. Proc. IEEE 109(5): 863-890 (2021) - [c32]James Oldfield, Markos Georgopoulos, Yannis Panagakis, Mihalis A. Nicolaou, Ioannis Patras:
Tensor Component Analysis for Interpreting the Latent Space of GANs. BMVC 2021: 222 - [c31]Charalambos Chrysostomou, Floris Alexandrou, Mihalis A. Nicolaou, Huseyin Seker:
Classification of Influenza Hemagglutinin Protein Sequences using Convolutional Neural Networks. EMBC 2021: 1682-1685 - [i12]Yannis Panagakis, Jean Kossaifi, Grigorios G. Chrysos, James Oldfield, Mihalis A. Nicolaou, Anima Anandkumar, Stefanos Zafeiriou:
Tensor Methods in Computer Vision and Deep Learning. CoRR abs/2107.03436 (2021) - [i11]Charalambos Chrysostomou, Floris Alexandrou, Mihalis A. Nicolaou, Huseyin Seker:
Classification of Influenza Hemagglutinin Protein Sequences using Convolutional Neural Networks. CoRR abs/2108.04240 (2021) - [i10]James Oldfield, Markos Georgopoulos, Yannis Panagakis, Mihalis A. Nicolaou, Ioannis Patras:
Tensor Component Analysis for Interpreting the Latent Space of GANs. CoRR abs/2111.11736 (2021) - 2020
- [j11]Stylianos Moschoglou, Stylianos Ploumpis, Mihalis A. Nicolaou, Athanasios Papaioannou, Stefanos Zafeiriou:
3DFaceGAN: Adversarial Nets for 3D Face Representation, Generation, and Translation. Int. J. Comput. Vis. 128(10): 2534-2551 (2020) - [c30]Charles Ringer, Mihalis A. Nicolaou, James Alfred Walker:
TwitchChat: A Dataset for Exploring Livestream Chat. AIIDE 2020: 259-265 - [c29]Markos Georgopoulos, James Oldfield, Mihalis A. Nicolaou, Yannis Panagakis, Maja Pantic:
Enhancing Facial Data Diversity with Style-based Face Aging. CVPR Workshops 2020: 66-74 - [c28]Giannis Ashiotis, James Oldfield, Charalambos Chrysostomou, Theodoros Christoudias, Mihalis A. Nicolaou:
Shared-Space Autoencoders with Randomized Skip Connections for Building Footprint Detection with Missing Views. ICPR Workshops (7) 2020: 536-549 - [i9]Markos Georgopoulos, James Oldfield, Mihalis A. Nicolaou, Yannis Panagakis, Maja Pantic:
Enhancing Facial Data Diversity with Style-based Face Aging. CoRR abs/2006.03985 (2020)
2010 – 2019
- 2019
- [j10]Dimitrios Kollias, Panagiotis Tzirakis, Mihalis A. Nicolaou, Athanasios Papaioannou, Guoying Zhao, Björn W. Schuller, Irene Kotsia, Stefanos Zafeiriou:
Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond. Int. J. Comput. Vis. 127(6-7): 907-929 (2019) - [j9]Mihalis A. Nicolaou, Stefanos Zafeiriou, Irene Kotsia, Guoying Zhao, Jeffrey F. Cohn:
Editorial of Special Issue on Human Behaviour Analysis "In-the-Wild". IEEE Trans. Affect. Comput. 10(1): 4-6 (2019) - [c27]Charles Ringer, Mihalis A. Nicolaou:
Streaming Behaviour: Livestreaming as a Paradigm for Analysis of Emotional and Social Signals. ACII Workshops 2019: 182-185 - [c26]Charles Ringer, James Alfred Walker, Mihalis A. Nicolaou:
Multimodal Joint Emotion and Game Context Recognition in League of Legends Livestreams. CoG 2019: 1-8 - [c25]Oroojeni M. J. Hooman, James Oldfield, Mihalis A. Nicolaou:
Detecting Early Parkinson's Disease from Keystroke Dynamics using the Tensor-Train Decomposition. EUSIPCO 2019: 1-5 - [c24]Panagiotis Tzirakis, Mihalis A. Nicolaou, Björn W. Schuller, Stefanos Zafeiriou:
Time-series Clustering with Jointly Learning Deep Representations, Clusters and Temporal Boundaries. FG 2019: 1-5 - [i8]James Oldfield, Yannis Panagakis, Mihalis A. Nicolaou:
Adversarial Learning of Disentangled and Generalizable Representations for Visual Attributes. CoRR abs/1904.04772 (2019) - [i7]Stylianos Moschoglou, Stylianos Ploumpis, Mihalis Nicolaou, Athanasios Papaioannou, Stefanos Zafeiriou:
3DFaceGAN: Adversarial Nets for 3D Face Representation, Generation, and Translation. CoRR abs/1905.00307 (2019) - [i6]Charles Ringer, James Alfred Walker, Mihalis A. Nicolaou:
Multimodal Joint Emotion and Game Context Recognition in League of Legends Livestreams. CoRR abs/1905.13694 (2019) - 2018
- [j8]Stylianos Moschoglou, Evangelos Ververas, Yannis Panagakis, Mihalis A. Nicolaou, Stefanos Zafeiriou:
Multi-Attribute Robust Component Analysis for Facial UV Maps. IEEE J. Sel. Top. Signal Process. 12(6): 1324-1337 (2018) - [j7]George Trigeorgis, Mihalis A. Nicolaou, Björn W. Schuller, Stefanos Zafeiriou:
Deep Canonical Time Warping for Simultaneous Alignment and Representation Learning of Sequences. IEEE Trans. Pattern Anal. Mach. Intell. 40(5): 1128-1138 (2018) - [c23]Stylianos Moschoglou, Stylianos Ploumpis, Mihalis A. Nicolaou, Stefanos Zafeiriou:
Multi-Attribute Probabilistic Linear Discriminant Analysis for 3D Facial Shapes. ACCV (3) 2018: 493-508 - [c22]Antony Milne, Katayoun Farrahi, Mihalis A. Nicolaou:
Less is More: Univariate Modelling to Detect Early Parkinson's Disease from Keystroke Dynamics. DS 2018: 435-446 - [c21]Oroojeni M. J. Hooman, Mohammad Majid al-Rifaie, Mihalis A. Nicolaou:
Deep Neuroevolution: Training Deep Neural Networks for False Alarm Detection in Intensive Care Units. EUSIPCO 2018: 1157-1161 - [c20]Charles Ringer, Mihalis A. Nicolaou:
Deep unsupervised multi-view detection of video game stream highlights. FDG 2018: 15:1-15:6 - [i5]Dimitrios Kollias, Panagiotis Tzirakis, Mihalis A. Nicolaou, Athanasios Papaioannou, Guoying Zhao, Björn W. Schuller, Irene Kotsia, Stefanos Zafeiriou:
Deep Affect Prediction in-the-wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond. CoRR abs/1804.10938 (2018) - [i4]Charles Ringer, Mihalis A. Nicolaou:
Deep Unsupervised Multi-View Detection of Video Game Stream Highlights. CoRR abs/1807.09715 (2018) - 2017
- [j6]Panagiotis Tzirakis, George Trigeorgis, Mihalis A. Nicolaou, Björn W. Schuller, Stefanos Zafeiriou:
End-to-End Multimodal Emotion Recognition Using Deep Neural Networks. IEEE J. Sel. Top. Signal Process. 11(8): 1301-1309 (2017) - [c19]Dimitrios Kollias, Mihalis A. Nicolaou, Irene Kotsia, Guoying Zhao, Stefanos Zafeiriou:
Recognition of Affect in the Wild Using Deep Neural Networks. CVPR Workshops 2017: 1972-1979 - [c18]Stefanos Zafeiriou, Dimitrios Kollias, Mihalis A. Nicolaou, Athanasios Papaioannou, Guoying Zhao, Irene Kotsia:
Aff-Wild: Valence and Arousal 'In-the-Wild' Challenge. CVPR Workshops 2017: 1980-1987 - [c17]Stylianos Moschoglou, Mihalis A. Nicolaou, Yannis Panagakis, Stefanos Zafeiriou:
Initializing probabilistic linear discriminant analysis. EUSIPCO 2017: 1175-1179 - [c16]Alessandro Fabris, Mihalis A. Nicolaou, Irene Kotsia, Stefanos Zafeiriou:
Dynamic Probabilistic Linear Discriminant Analysis for video classification. ICASSP 2017: 2781-2785 - [c15]Antony Milne, Mihalis Nicolaou, Katayoun Farrahi:
Discovering the Typing Behaviour of Parkinson's Patients Using Topic Models. SocInfo (2) 2017: 89-97 - [p2]Ognjen Rudovic, Mihalis A. Nicolaou, Vladimir Pavlovic:
Machine Learning Methods for Social Signal Processing. Social Signal Processing 2017: 234-254 - [i3]Panagiotis Tzirakis, George Trigeorgis, Mihalis A. Nicolaou, Björn W. Schuller, Stefanos Zafeiriou:
End-to-End Multimodal Emotion Recognition using Deep Neural Networks. CoRR abs/1704.08619 (2017) - [i2]Stylianos Moschoglou, Evangelos Ververas, Yannis Panagakis, Mihalis A. Nicolaou, Stefanos Zafeiriou:
Multi-Attribute Robust Component Analysis for Facial UV Maps. CoRR abs/1712.05799 (2017) - 2016
- [j5]Yannis Panagakis, Mihalis A. Nicolaou, Stefanos Zafeiriou, Maja Pantic:
Robust Correlated and Individual Component Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 38(8): 1665-1678 (2016) - [j4]Lazaros Zafeiriou, Mihalis A. Nicolaou, Stefanos Zafeiriou, Symeon Nikitidis, Maja Pantic:
Probabilistic Slow Features for Behavior Analysis. IEEE Trans. Neural Networks Learn. Syst. 27(5): 1034-1048 (2016) - [c14]Stefanos Zafeiriou, Athanasios Papaioannou, Irene Kotsia, Mihalis A. Nicolaou, Guoying Zhao:
Facial Affect "In-the-Wild": A Survey and a New Database. CVPR Workshops 2016: 1487-1498 - [c13]George Trigeorgis, Patrick Snape, Mihalis A. Nicolaou, Epameinondas Antonakos, Stefanos Zafeiriou:
Mnemonic Descent Method: A Recurrent Process Applied for End-to-End Face Alignment. CVPR 2016: 4177-4187 - [c12]George Trigeorgis, Mihalis A. Nicolaou, Stefanos Zafeiriou, Björn W. Schuller:
Deep Canonical Time Warping. CVPR 2016: 5110-5118 - [c11]George Trigeorgis, Fabien Ringeval, Raymond Brueckner, Erik Marchi, Mihalis A. Nicolaou, Björn W. Schuller, Stefanos Zafeiriou:
Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network. ICASSP 2016: 5200-5204 - 2014
- [b1]Mihalis Nicolaou:
Machine learning for automatic analysis of affective behaviour. Imperial College London, UK, 2014 - [j3]Mihalis A. Nicolaou, Vladimir Pavlovic, Maja Pantic:
Dynamic Probabilistic CCA for Analysis of Affective Behavior and Fusion of Continuous Annotations. IEEE Trans. Pattern Anal. Mach. Intell. 36(7): 1299-1311 (2014) - [c10]Mihalis A. Nicolaou, Yannis Panagakis, Stefanos Zafeiriou, Maja Pantic:
Robust Canonical Correlation Analysis: Audio-visual fusion for learning continuous interest. ICASSP 2014: 1522-1526 - [c9]Mihalis A. Nicolaou, Stefanos Zafeiriou, Maja Pantic:
A Unified Framework for Probabilistic Component Analysis. ECML/PKDD (2) 2014: 469-484 - 2013
- [c8]Yannis Panagakis, Mihalis A. Nicolaou, Stefanos Zafeiriou, Maja Pantic:
Robust Canonical Time Warping for the Alignment of Grossly Corrupted Sequences. CVPR 2013: 540-547 - [c7]Lazaros Zafeiriou, Mihalis A. Nicolaou, Stefanos Zafeiriou, Symeon Nikitidis, Maja Pantic:
Learning Slow Features for Behaviour Analysis. ICCV 2013: 2840-2847 - [c6]Mihalis A. Nicolaou, Stefanos Zafeiriou, Maja Pantic:
Correlated-spaces regression for learning continuous emotion dimensions. ACM Multimedia 2013: 773-776 - [i1]Stefanos Zafeiriou, Mihalis A. Nicolaou, Maja Pantic:
A Unified Framework for Probabilistic Component Analysis. CoRR abs/1303.3240 (2013) - 2012
- [j2]Mihalis A. Nicolaou, Hatice Gunes, Maja Pantic:
Output-associative RVM regression for dimensional and continuous emotion prediction. Image Vis. Comput. 30(3): 186-196 (2012) - [c5]Mihalis A. Nicolaou, Vladimir Pavlovic, Maja Pantic:
Dynamic Probabilistic CCA for Analysis of Affective Behaviour. ECCV (7) 2012: 98-111 - 2011
- [j1]Mihalis A. Nicolaou, Hatice Gunes, Maja Pantic:
Continuous Prediction of Spontaneous Affect from Multiple Cues and Modalities in Valence-Arousal Space. IEEE Trans. Affect. Comput. 2(2): 92-105 (2011) - [c4]Mihalis A. Nicolaou, Hatice Gunes, Maja Pantic:
Designing frameworks for automatic affect prediction and classification in dimensional space. CVPR Workshops 2011: 20-26 - [c3]Mihalis A. Nicolaou, Hatice Gunes, Maja Pantic:
Output-associative RVM regression for dimensional and continuous emotion prediction. FG 2011: 16-23 - [c2]Mihalis A. Nicolaou, Hatice Gunes, Maja Pantic:
A multi-layer hybrid framework for dimensional emotion classification. ACM Multimedia 2011: 933-936 - [p1]Hatice Gunes, Mihalis A. Nicolaou, Maja Pantic:
Continuous Analysis of Affect from Voice and Face. Computer Analysis of Human Behavior 2011: 255-291 - 2010
- [c1]Mihalis A. Nicolaou, Hatice Gunes, Maja Pantic:
Audio-Visual Classification and Fusion of Spontaneous Affective Data in Likelihood Space. ICPR 2010: 3695-3699
Coauthor Index
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