Timo Bolkart
Timo Bolkart
Max Planck Institute for Intelligent Systems
Verified email at tuebingen.mpg.de - Homepage
Title
Cited by
Cited by
Year
Generating 3D faces using Convolutional Mesh Autoencoders
A Ranjan, T Bolkart, S Sanyal, MJ Black
European Conference on Computer Vision (ECCV), 725--741, 2018
1252018
Learning a model of facial shape and expression from 4D scans.
T Li, T Bolkart, MJ Black, H Li, J Romero
ACM Trans. Graph. 36 (6), 194:1-194:17, 2017
1082017
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
942019
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
642014
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
602016
Multilinear wavelets: A statistical shape space for human faces
A Brunton, T Bolkart, S Wuhrer
European Conference on Computer Vision, 297-312, 2014
492014
3D faces in motion: Fully automatic registration and statistical analysis
T Bolkart, S Wuhrer
Computer Vision and Image Understanding 131, 100-115, 2015
42*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
402015
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
352013
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
272019
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
242019
A robust multilinear model learning framework for 3d faces
T Bolkart, S Wuhrer
Proceedings of the IEEE conference on computer vision and pattern …, 2016
152016
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
102020
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
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
Monocular expressive body regression through body-driven attention
V Choutas, G Pavlakos, T Bolkart, D Tzionas, MJ Black
arXiv preprint arXiv:2008.09062, 2020
12020
GIF: Generative Interpretable Faces
P Ghosh, PS Gupta, R Uziel, A Ranjan, M Black, T Bolkart
arXiv preprint arXiv:2009.00149, 2020
2020
STAR: Sparse Trained Articulated Human Body Regressor
AAA Osman, T Bolkart, MJ Black
arXiv preprint arXiv:2008.08535, 2020
2020
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
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Articles 1–20