关注
Athanasios Papaioannou
Athanasios Papaioannou
Senior Research Scientist at Huawei Technologies Research & Development (UK)
在 huawei.com 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
7862017
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), 907-929, 2019
4382019
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
3682017
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
1232016
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), 13597, 2019
1012019
Synthesizing coupled 3d face modalities by trunk-branch generative adversarial networks
B Gecer, A Lattas, S Ploumpis, J Deng, A Papaioannou, S Moschoglou, ...
European conference on computer vision, 415-433, 2020
712020
3dfacegan: Adversarial nets for 3d face representation, generation, and translation
S Moschoglou, S Ploumpis, MA Nicolaou, A Papaioannou, S Zafeiriou
International Journal of Computer Vision 128, 2534-2551, 2020
592020
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
562013
Synthesising 3D facial motion from “in-the-wild” speech
P Tzirakis, A Papaioannou, A Lattas, M Tarasiou, B Schuller, S Zafeiriou
2020 15th IEEE International Conference on Automatic Face and Gesture …, 2020
172020
The 3D skull 0–4 years: A validated, generative, statistical shape model
E O'Sullivan, LS van de Lande, AJC Oosting, A Papaioannou, NO Jeelani, ...
Bone Reports 15, 101154, 2021
142021
Convolutional mesh autoencoders for the 3-dimensional identification of FGFR-related craniosynostosis
E O’Sullivan, LS van de Lande, A Papaioannou, RWF Breakey, ...
Scientific reports 12 (1), 2230, 2022
122022
Mimicme: A large scale diverse 4d database for facial expression analysis
A Papaioannou, B Gecer, S Cheng, G Chrysos, J Deng, E Fotiadou, ...
European Conference on Computer Vision, 467-484, 2022
72022
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
72019
A novel updating scheme for probabilistic latent semantic indexing
C Kotropoulos, A Papaioannou
Springer Berlin Heidelberg, 2006
72006
ILSH: The imperial light-stage head dataset for human head view synthesis
J Zheng, Y Jang, A Papaioannou, C Kampouris, RA Potamias, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
62023
Local Soft Tissue and Bone Displacements Following Midfacial Bipartition Distraction in Apert Syndrome–Quantification Using a Semi-Automated Method
LS van de Lande, E O'Sullivan, PGM Knoops, A Papaioannou, J Ong, ...
Journal of Craniofacial Surgery 32 (8), 2646-2650, 2021
52021
Component analysis of complex-valued data for machine learning and computer vision tasks.
A Papaioannou
Imperial College London, UK, 2017
52017
Craniofacial syndrome identification using convolutional mesh autoencoders
E O'Sullivan, LS van de Lande, A Papaioannou, RWF Breakey, ...
Available at SSRN 3795325, 2021
32021
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
12019
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
12019
系统目前无法执行此操作,请稍后再试。
文章 1–20