Georgios (Yorgos) Tzimiropoulos
Georgios (Yorgos) Tzimiropoulos
Associate Professor, Queen Mary University of London | Principal Scientist, Samsung AI Center
Email verificata su qmul.ac.uk - Home page
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Citata da
Citata da
Anno
300 Faces in-the-Wild Challenge: The first facial landmark localization Challenge
C Sagonas, G Tzimiropoulos, S Zafeiriou, M Pantic
International Conference on Computer Vision, (ICCV-W), 300 Faces in-the-Wild …, 2013
7462013
How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)
A Bulat, G Tzimiropoulos
Proceedings of the IEEE International Conference on Computer Vision, 1021-1030, 2017
4992017
300 faces in-the-wild challenge: Database and results
C Sagonas, E Antonakos, G Tzimiropoulos, S Zafeiriou, M Pantic
Image and vision computing 47, 3-18, 2016
4292016
Human pose estimation via convolutional part heatmap regression
A Bulat, G Tzimiropoulos
European Conference on Computer Vision, 717-732, 2016
3682016
A semi-automatic methodology for facial landmark annotation
C Sagonas, G Tzimiropoulos, S Zafeiriou, M Pantic
Proceedings of the IEEE conference on computer vision and pattern …, 2013
3512013
Optimization problems for fast AAM fitting in-the-wild
G Tzimiropoulos, M Pantic
Computer Vision (ICCV), 2013 IEEE International Conference on, 2013
2502013
The first facial landmark tracking in-the-wild challenge: Benchmark and results
J Shen, S Zafeiriou, GG Chrysos, J Kossaifi, G Tzimiropoulos, M Pantic
Proceedings of the IEEE international conference on computer vision …, 2015
2462015
Large pose 3D face reconstruction from a single image via direct volumetric CNN regression
AS Jackson, A Bulat, V Argyriou, G Tzimiropoulos
Proceedings of the IEEE International Conference on Computer Vision, 1031-1039, 2017
2402017
Gauss-Newton Deformable Part Models for Face Alignment in-the-Wild
G Tzimiropoulos, M Pantic
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
2402014
Project-out cascaded regression with an application to face alignment
G Tzimiropoulos
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
2132015
Subspace learning from image gradient orientations
G Tzimiropoulos, S Zafeiriou, M Pantic
Pattern Analysis and Machine Intelligence, IEEE Transactions on 34 (12 …, 2012
1772012
Robust FFT-based scale-invariant image registration with image gradients
G Tzimiropoulos, V Argyriou, S Zafeiriou, T Stathaki
IEEE transactions on pattern analysis and machine intelligence 32 (10), 1899 …, 2010
1732010
Deep machine learning provides state-of-the-art performance in image-based plant phenotyping.
MP Pound, AJ Burgess, MH Wilson, JA Atkinson, M Griffiths, AS Jackson, ...
GigaScience, 2017
1522017
Super-fan: Integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with gans
A Bulat, G Tzimiropoulos
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1262018
Binarized convolutional landmark localizers for human pose estimation and face alignment with limited resources
A Bulat, G Tzimiropoulos
Proceedings of the IEEE International Conference on Computer Vision, 3706-3714, 2017
1242017
Combining residual networks with LSTMs for lipreading
T Stafylakis, G Tzimiropoulos
Proceedings of Interspeech, 2017
1082017
Feature-based lucas–kanade and active appearance models
E Antonakos, J Alabort-i-Medina, G Tzimiropoulos, SP Zafeiriou
IEEE Transactions on Image Processing 24 (9), 2617-2632, 2015
992015
To learn image super-resolution, use a gan to learn how to do image degradation first
A Bulat, J Yang, G Tzimiropoulos
Proceedings of the European conference on computer vision (ECCV), 185-200, 2018
952018
Generic active appearance models revisited
G Tzimiropoulos, J Alabort-i-Medina, S Zafeiriou, M Pantic
Computer Vision–ACCV 2012, 650-663, 2013
912013
End-to-end audiovisual speech recognition
S Petridis, T Stafylakis, P Ma, F Cai, G Tzimiropoulos, M Pantic
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
802018
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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