Athanasios Papaioannou
Athanasios Papaioannou
Verified email at imperial.ac.uk
TitleCited byYear
Agedb: the first manually collected, in-the-wild age database
S Moschoglou, A Papaioannou, C Sagonas, J Deng, I Kotsia, S Zafeiriou
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
742017
Principal component analysis with complex kernel: The widely linear model
A Papaioannou, S Zafeiriou
IEEE Transactions on Neural networks and Learning systems 25 (9), 1719-1726, 2013
432013
Aff-wild: Valence and arousal'in-the-wild'challenge
S Zafeiriou, D Kollias, MA Nicolaou, A Papaioannou, G Zhao, I Kotsia
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
332017
Deep affect prediction in-the-wild: Aff-wild database and challenge, deep architectures, and beyond
D Kollias, P Tzirakis, MA Nicolaou, A Papaioannou, G Zhao, B Schuller, ...
International Journal of Computer Vision 127 (6-7), 907-929, 2019
302019
Facial Affect``In-The-Wild
S Zafeiriou, A Papaioannou, I Kotsia, M Nicolaou, G Zhao
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
292016
Facial affect
S Zafeiriou, A Papaioannou, I Kotsia, M Nicolaou, G Zhao
the-wild”: A survey and a new database,” in The IEEE Conference on Computer …, 2016
72016
A novel updating scheme for probabilistic latent semantic indexing
C Kotropoulos, A Papaioannou
Springer Berlin Heidelberg, 2006
72006
Synthesising 3D Facial Motion from" In-the-Wild" Speech
P Tzirakis, A Papaioannou, A Lattas, M Tarasiou, B Schuller, S Zafeiriou
arXiv preprint arXiv:1904.07002, 2019
12019
Component analysis of complex-valued data for machine learning and computer vision tasks
A Papaioannou
Imperial College London, 2017
12017
A machine learning framework for automated diagnosis and computer-assisted planning in plastic and reconstructive surgery
PGM Knoops, A Papaioannou, A Borghi, RWF Breakey, AT Wilson, ...
Scientific reports 9 (1), 1-12, 2019
2019
Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks
B Gecer, A Lattas, S Ploumpis, J Deng, A Papaioannou, S Moschoglou, ...
arXiv preprint arXiv:1909.02215, 2019
2019
S4B-03 SESSION 4B: ORTHOGNATHIC/TREACHER-COLLINS A MACHINE LEARNING FRAMEWORK FOR AUTOMATED DIAGNOSIS AND COMPUTER-ASSISTED SURGERY PLANNING IN ORTHOGNATHIC SURGERY
PG Knoops, A Papaioannou, A Borghi, RW Breakey, AT Wilson, O Jeelani, ...
Plastic and Reconstructive Surgery–Global Open 7 (8S-2), 95, 2019
2019
S12-09 SESSION 12: FACIOCRANIOSYNOSTOSIS–PART II A MACHINE LEARNING APPROACH FOR OUTCOME PREDICTION OF MIDFACIAL BIPARTITION DISTRACTION IN APERT PATIENTS
LS van de Lande, A Papaioannou, S Zafeiriou, DJ Dunaway
Plastic and Reconstructive Surgery–Global Open 7 (8S-2), 155-156, 2019
2019
S15-01 SESSION 15: PLANNING/IMAGING-PART I STATISTICAL SHAPE MODELING AND RELATED TECHNIQUES AS A METHOD TO AID DIAGNOSIS, PLAN SURGERY AND ASSESS OUTCOME IN CRANIOFACIAL SURGERY.
DJ Dunaway, A Papaioannou, A Borghi, L van de Lande, P Knoops, ...
Plastic and Reconstructive Surgery–Global Open 7 (8S-2), 174, 2019
2019
Geometric morphometrics aided by machine learning in craniofacial surgery
LS van de Lande, A Papaioannou, DJ Dunaway
Journal of orthodontics 46 (1_suppl), 81-83, 2019
2019
A new 3D statistical model for treacher collins syndrome using machine learning techniques to quantify facial shape differences from the normal
L Van de Lande, A Papaioannou, R Breakey, S Schievano, D Dunaway
International Journal of Oral and Maxillofacial Surgery 48, 163, 2019
2019
Complex representations for learning statistical shape priors
A Papaioannou, E Antonakos, S Zafeiriou
2017 25th European Signal Processing Conference (EUSIPCO), 1180-1184, 2017
2017
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Articles 1–17