Timo Bolkart
Timo Bolkart
Max Planck Institute for Intelligent Systems
Verified email at tuebingen.mpg.de - Homepage
TitleCited byYear
Learning a model of facial shape and expression from 4D scans
T Li, T Bolkart, MJ Black, H Li, J Romero
ACM Transactions on Graphics (ToG) 36 (6), 194, 2017
672017
Review of statistical shape spaces for 3D data with comparative analysis for human faces
A Brunton, A Salazar, T Bolkart, S Wuhrer
Computer Vision and Image Understanding 128, 1-17, 2014
562014
Generating 3D faces using Convolutional Mesh Autoencoders
A Ranjan, T Bolkart, S Sanyal, MJ Black
European Conference on Computer Vision (ECCV), 725--741, 2018
542018
Fitting a 3D morphable model to edges: A comparison between hard and soft correspondences
A Bas, WAP Smith, T Bolkart, S Wuhrer
Asian Conference on Computer Vision, 377-391, 2016
532016
Multilinear wavelets: A statistical shape space for human faces
A Brunton, T Bolkart, S Wuhrer
European Conference on Computer Vision, 297-312, 2014
422014
3D faces in motion: Fully automatic registration and statistical analysis
T Bolkart, S Wuhrer
Computer Vision and Image Understanding 131, 100-115, 2015
39*2015
A groupwise multilinear correspondence optimization for 3d faces
T Bolkart, S Wuhrer
Proceedings of the IEEE international conference on computer vision, 3604-3612, 2015
342015
Improved pre-warping for wide angle, head mounted displays
D Pohl, GS Johnson, T Bolkart
Proceedings of the 19th ACM symposium on Virtual reality software and …, 2013
302013
Expressive body capture: 3d hands, face, and body from a single image
G Pavlakos, V Choutas, N Ghorbani, T Bolkart, AAA Osman, D Tzionas, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
222019
A robust multilinear model learning framework for 3d faces
T Bolkart, S Wuhrer
Proceedings of the IEEE conference on computer vision and pattern …, 2016
142016
Learning to regress 3D face shape and expression from an image without 3D supervision
S Sanyal, T Bolkart, H Feng, MJ Black
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
72019
Using astigmatism in wide angle HMDs to improve rendering
D Pohl, T Bolkart, S Nickels, O Grau
2015 IEEE Virtual Reality (VR), 263-264, 2015
72015
Capture, learning, and synthesis of 3D speaking styles
D Cudeiro, T Bolkart, C Laidlaw, A Ranjan, MJ Black
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
52019
A statistical shape space model of the palate surface trained on 3D MRI scans of the vocal tract
A Hewer, I Steiner, T Bolkart, S Wuhrer, K Richmond
International Congress of Phonetic Sciences, 2015
52015
A General Framework to Generate Sizing Systems from 3D Motion Data Applied to Face Mask Design.
T Bolkart, P Bose, C Shu, S Wuhrer
International Conference on 3D Vision (3DV), 425-431, 2014
32014
3D Morphable Face Models--Past, Present and Future
B Egger, WAP Smith, A Tewari, S Wuhrer, M Zollhoefer, T Beeler, ...
arXiv preprint arXiv:1909.01815, 2019
12019
Decoding the Viewpoint and Identity of Faces and Bodies
C Foster, M Zhao, T Bolkart, MJ Black, A Bartels, I Bülthoff
Scholar One, Inc., 2019
2019
Dynamic and groupwise statistical analysis of 3D faces
T Bolkart
2016
Expressive Body Capture: 3D Hands, Face, and Body from a Single Image** Supplementary Material
G Pavlakos, V Choutas, N Ghorbani, T Bolkart, AAA Osman, D Tzionas, ...
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Articles 1–19