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Thomas Gerig
Thomas Gerig
Shapemeans GmbH (before University of Basel)
Verified email at shapemeans.com - Homepage
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Cited by
Year
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
2862018
Gaussian process morphable models
M Lüthi, T Gerig, C Jud, T Vetter
IEEE transactions on pattern analysis and machine intelligence 40 (8), 1860-1873, 2017
2312017
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
1272019
Posterior shape models
T Albrecht, M Lüthi, T Gerig, T Vetter
Medical image analysis 17 (8), 959-973, 2013
942013
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
732018
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
Spatially varying registration using gaussian processes
T Gerig, K Shahim, M Reyes, T Vetter, M Lüthi
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014
272014
Supervised learning for bone shape and cortical thickness estimation from CT images for finite element analysis
V Chandran, G Maquer, T Gerig, P Zysset, M Reyes
Medical image analysis 52, 42-55, 2019
262019
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
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
Shape modeling using gaussian process morphable models
M Lüthi, A Forster, T Gerig, T Vetter
Statistical shape and deformation analysis, 165-191, 2017
132017
Error-controlled model approximation for Gaussian process morphable models
J Dölz, T Gerig, M Lüthi, H Harbrecht, T Vetter
Journal of Mathematical Imaging and Vision 61, 443-457, 2019
42019
Gaussian process morphable models for spatially-varying multi-scale registration
T Gerig
University_of_Basel, 2021
32021
Efficient computation of low-rank Gaussian process models for surface and image registration
J Dölz, T Gerig, H Harbrecht, M Lüthi, T Vetter
Universität Basel 2017 (01), 2017
22017
Gaussian process morphable models for spatially-varying multi-scale registration: modeling and approximation
T Gerig
Philosophisch-Naturwissenschaftliche Fakultät der Universität Basel, 2021
2021
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