Stefanos Zafeiriou
Titel
Zitiert von
Zitiert von
Jahr
Arcface: Additive angular margin loss for deep face recognition
J Deng, J Guo, N Xue, S Zafeiriou
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
11442019
300 faces in-the-wild challenge: The first facial landmark localization challenge
C Sagonas, G Tzimiropoulos, S Zafeiriou, M Pantic
Proceedings of the IEEE International Conference on Computer Vision …, 2013
7882013
Robust discriminative response map fitting with constrained local models
A Asthana, S Zafeiriou, S Cheng, M Pantic
Proceedings of the IEEE conference on computer vision and pattern …, 2013
5802013
Adieu features? end-to-end speech emotion recognition using a deep convolutional recurrent network
G Trigeorgis, F Ringeval, R Brueckner, E Marchi, MA Nicolaou, B Schuller, ...
2016 IEEE international conference on acoustics, speech and signal …, 2016
5682016
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
4742016
Incremental face alignment in the wild
A Asthana, S Zafeiriou, S Cheng, M Pantic
Proceedings of the IEEE conference on computer vision and pattern …, 2014
4602014
Static and dynamic 3D facial expression recognition: A comprehensive survey
G Sandbach, S Zafeiriou, M Pantic, L Yin
Image and Vision Computing 30 (10), 683-697, 2012
3802012
A survey on face detection in the wild: past, present and future
S Zafeiriou, C Zhang, Z Zhang
Computer Vision and Image Understanding 138, 1-24, 2015
3732015
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
3642013
Exploiting discriminant information in nonnegative matrix factorization with application to frontal face verification
S Zafeiriou, A Tefas, I Buciu, I Pitas
IEEE Transactions on Neural Networks 17 (3), 683-695, 2006
3482006
Mnemonic descent method: A recurrent process applied for end-to-end face alignment
G Trigeorgis, P Snape, MA Nicolaou, E Antonakos, S Zafeiriou
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
2802016
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
2552015
End-to-end multimodal emotion recognition using deep neural networks
P Tzirakis, G Trigeorgis, MA Nicolaou, BW Schuller, S Zafeiriou
IEEE Journal of Selected Topics in Signal Processing 11 (8), 1301-1309, 2017
2412017
A 3d morphable model learnt from 10,000 faces
J Booth, A Roussos, S Zafeiriou, A Ponniah, D Dunaway
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
1872016
Subspace learning from image gradient orientations
G Tzimiropoulos, S Zafeiriou, M Pantic
IEEE transactions on pattern analysis and machine intelligence 34 (12), 2454 …, 2012
1812012
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
1752010
Blind robust watermarking schemes for copyright protection of 3D mesh objects
S Zafeiriou, A Tefas, I Pitas
IEEE Transactions on Visualization and Computer Graphics 11 (5), 596-607, 2005
1752005
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
1502017
Automatic sleep stage scoring with single-channel EEG using convolutional neural networks
O Tsinalis, PM Matthews, Y Guo, S Zafeiriou
arXiv preprint arXiv:1610.01683, 2016
1492016
A deep matrix factorization method for learning attribute representations
G Trigeorgis, K Bousmalis, S Zafeiriou, BW Schuller
IEEE transactions on pattern analysis and machine intelligence 39 (3), 417-429, 2016
1422016
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20