Segui
Andreas Morel-Forster
Andreas Morel-Forster
Shapemeans GmbH, before University of Basel
Email verificata su shapemeans.com
Titolo
Citata da
Citata da
Anno
Morphable face models-an open framework
T Gerig, A Morel-Forster, C Blumer, B Egger, M Luthi, S Schönborn, ...
2018 13th IEEE international conference on automatic face & gesture …, 2018
2822018
Shape Modeling Using Gaussian Process Morphable Models
M Lüthi, A Forster, T Gerig, T Vetter
Statistical Shape and Deformation Analysis: Methods, Implementation and …, 2017
237*2017
Analyzing and reducing the damage of dataset bias to face recognition with synthetic data
A Kortylewski, B Egger, A Schneider, T Gerig, A Morel-Forster, T Vetter
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1252019
Occlusion-aware 3d morphable models and an illumination prior for face image analysis
B Egger, S Schönborn, A Schneider, A Kortylewski, A Morel-Forster, ...
International Journal of Computer Vision 126, 1269-1287, 2018
822018
Markov chain monte carlo for automated face image analysis
S Schönborn, B Egger, A Morel-Forster, T Vetter
International Journal of Computer Vision 123, 160-183, 2017
742017
Empirically analyzing the effect of dataset biases on deep face recognition systems
A Kortylewski, B Egger, A Schneider, T Gerig, A Morel-Forster, T Vetter
Proceedings of the IEEE conference on computer vision and pattern …, 2018
722018
Training deep face recognition systems with synthetic data
A Kortylewski, A Schneider, T Gerig, B Egger, A Morel-Forster, T Vetter
arXiv preprint arXiv:1802.05891, 2018
712018
A monte carlo strategy to integrate detection and model-based face analysis
S Schönborn, A Forster, B Egger, T Vetter
Pattern Recognition: 35th German Conference, GCPR 2013, Saarbrücken, Germany …, 2013
302013
Background modeling for generative image models
S Schönborn, B Egger, A Forster, T Vetter
Computer Vision and Image Understanding 136, 117-127, 2015
202015
A closest point proposal for MCMC-based probabilistic surface registration
D Madsen, A Morel-Forster, P Kahr, D Rahbani, T Vetter, M Lüthi
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
172020
Can synthetic faces undo the damage of dataset bias to face recognition and facial landmark detection?
A Kortylewski, B Egger, A Morel-Forster, A Schneider, T Gerig, C Blumer, ...
arXiv preprint arXiv:1811.08565, 2018
16*2018
Occlusion-aware 3D Morphable Face Models.
B Egger, A Schneider, C Blumer, A Forster, S Schönborn, T Vetter
BMVC 2, 4, 2016
162016
To fit or not to fit: Model-based face reconstruction and occlusion segmentation from weak supervision
C Li, A Morel-Forster, T Vetter, B Egger, A Kortylewski
arXiv preprint arXiv:2106.09614 3, 2021
132021
Informed mcmc with bayesian neural networks for facial image analysis
A Kortylewski, M Wieser, A Morel-Forster, A Wieczorek, S Parbhoo, ...
arXiv preprint arXiv:1811.07969, 2018
132018
Probabilistic fitting of active shape models
A Morel-Forster, T Gerig, M Lüthi, T Vetter
Shape in Medical Imaging: International Workshop, ShapeMI 2018, Held in …, 2018
132018
Pose normalization for eye gaze estimation and facial attribute description from still images
B Egger, S Schönborn, A Forster, T Vetter
Pattern Recognition: 36th German Conference, GCPR 2014, Münster, Germany …, 2014
122014
Greedy structure learning of hierarchical compositional models
A Kortylewski, A Wieczorek, M Wieser, C Blumer, S Parbhoo, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
112019
Human face shape analysis under spherical harmonics illumination considering self occlusion
J Zivanov, A Forster, S Schönborn, T Vetter
2013 International conference on biometrics (ICB), 1-8, 2013
102013
Generative shape and image analysis by combining Gaussian processes and MCMC sampling
A Morel-Forster
University_of_Basel, 2016
92016
Robust model-based face reconstruction through weakly-supervised outlier segmentation
C Li, A Morel-Forster, T Vetter, B Egger, A Kortylewski
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
62023
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