| 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 | 746 | 2017 |
| 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 | 431 | 2019 |
| 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 | 365 | 2017 |
| 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 | 122 | 2016 |
| 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 | 101 | 2019 |
| 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 | 70 | 2020 |
| 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 | 59 | 2020 |
| 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 | 55 | 2013 |
| 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 | 16 | 2020 |
| 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 | 14 | 2021 |
| 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 | 11 | 2022 |
| 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 | 7 | 2019 |
| A novel updating scheme for probabilistic latent semantic indexing C Kotropoulos, A Papaioannou Springer Berlin Heidelberg, 2006 | 7 | 2006 |
| 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 | 6 | 2023 |
| 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 | 6 | 2022 |
| 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 | 5 | 2021 |
| Component analysis of complex-valued data for machine learning and computer vision tasks. A Papaioannou Imperial College London, UK, 2017 | 5 | 2017 |
| Craniofacial syndrome identification using convolutional mesh autoencoders E O'Sullivan, LS van de Lande, A Papaioannou, RWF Breakey, ... Available at SSRN 3795325, 2021 | 3 | 2021 |
| 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 | 1 | 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 | 1 | 2019 |
Stefanos ZafeiriouProfessor, Imperial College London在 imperial.ac.uk 的电子邮件经过验证
