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Thomas Vetter
Thomas Vetter
Emeritus Professor in Computer Science, University of Basel
在 unibas.ch 的电子邮件经过验证 - 首页
标题
引用次数
年份
A morphable model for the synthesis of 3D faces
V Blanz, T Vetter
Seminal Graphics Papers: Pushing the Boundaries, Volume 2, 157-164, 2023
64822023
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
132023
GiNGR: Generalized Iterative Non-Rigid Point Cloud and Surface Registration Using Gaussian Process Regression
D Madsen, J Aellen, A Morel-Forster, T Vetter, M Lüthi
arXiv preprint arXiv:2203.09986, 2022
2022
Explaining face representation in the primate brain using different computational models
L Chang, B Egger, T Vetter, DY Tsao
Current Biology 31 (13), 2785-2795. e4, 2021
392021
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
172021
Sequential Gaussian process regression for simultaneous pathology detection and shape reconstruction
D Rahbani, A Morel-Forster, D Madsen, J Aellen, T Vetter
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
42021
3d morphable face models—past, present, and future
B Egger, WAP Smith, A Tewari, S Wuhrer, M Zollhoefer, T Beeler, ...
ACM Transactions on Graphics (ToG) 39 (5), 1-38, 2020
4002020
What computational model provides the best explanation of face representations in the primate brain?
L Chang, B Egger, T Vetter, DY Tsao
bioRxiv, 2020.06. 07.111930, 2020
52020
Learning shape priors from pieces
D Madsen, J Aellen, A Morel-Forster, T Vetter, M Lüthi
Shape in Medical Imaging: International Workshop, ShapeMI 2020, Held in …, 2020
32020
Uncertainty reduction in contour-based 3d/2d registration of bone surfaces
XO Thusini, CJF Reyneke, J Aellen, A Forster, JR Fouefack, ...
Shape in Medical Imaging: International Workshop, ShapeMI 2020, Held in …, 2020
42020
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
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
52019
Photo-Realistic Exemplar-Based Face Ageing
A Schneider, G Bouabene, A Shaiek, S Schönborn, F Flament, G François, ...
2019 14th IEEE International Conference on Automatic Face & Gesture …, 2019
22019
Robust registration of statistical shape models for unsupervised pathology annotation
D Rahbani, A Morel-Forster, D Madsen, M Lüthi, T Vetter
Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and …, 2019
62019
Probabilistic surface reconstruction with unknown correspondence
D Madsen, T Vetter, M Lüthi
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and …, 2019
32019
3D morphable models (Dagstuhl Seminar 19102)
B Egger, W Smith, C Theobalt, T Vetter
Schloss Dagstuhl–Leibniz-Zentrum für Informatik, 2019
12019
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
1402019
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
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
852018
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
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