Timo Bolkart - Google Scholar

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	All	Since 2015
Citations	709	699
h-index	12	12
i10-index	13	13

300

150

225

20142015201620172018201920207 17 50 55 97 189 286

Co-authors

Stefanie WuhrerINRIA Grenoble Rhone-AlpesVerified email at inria.fr
Michael J. BlackMax Planck Institute for Intelligent Systems and AmazonVerified email at tuebingen.mpg.de
Alan BruntonResearcher, Fraunhofer Institute for Computer Graphics Research, IGD, Darmstadt, GermanyVerified email at igd.fraunhofer.de
Anurag RanjanResearcher, Apple AI ResearchVerified email at tue.mpg.de
Augusto SalazarProfessor at Universidad de AntioquiaVerified email at udea.edu.co
Georgios PavlakosUniversity of PennsylvaniaVerified email at seas.upenn.edu
Soubhik SanyalPhD Student Max Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Dimitrios TzionasMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Vasileios ChoutasPerceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck ETH Center for LearningVerified email at tuebingen.mpg.de
Ahmed A. A. OsmanMax Planck Institute for Intelligent SystemsVerified email at tue.mpg.de
Nima GhorbaniMax-Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
William A. P. SmithReader, University of YorkVerified email at york.ac.uk
Tianye LiUniversity of Southern CaliforniaVerified email at usc.edu
Javier RomeroSenior Applied Scientist, AmazonVerified email at amazon.com
Hao LiPinscreen, University of Southern California, USC Institute for Creative TechnologiesVerified email at hao-li.com
Daniel PohlIntel CorporationVerified email at intel.com
Anil BasDepartment of Computer Engineering, Faculty of Technology, Marmara UniversityVerified email at marmara.edu.tr
Cassidy LaidlawUniversity of MarylandVerified email at umd.edu
Adam KortylewskiPostdoctoral Researcher, Johns Hopkins UniversityVerified email at jhu.edu
Volker BlanzProfessor of Computer Science, Universitaet SiegenVerified email at informatik.uni-siegen.de

Timo Bolkart

Max Planck Institute for Intelligent Systems

Verified email at tuebingen.mpg.de - Homepage

Non-rigid Shape Analysis Statistical Analysis Statistical Models Facial Motion Analysis Geometric Deep Learning


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Generating 3D faces using Convolutional Mesh Autoencoders A Ranjan, T Bolkart, S Sanyal, MJ Black European Conference on Computer Vision (ECCV), 725--741, 2018	125	2018
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	108	2017
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	94	2019
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	64	2014
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	60	2016
Multilinear wavelets: A statistical shape space for human faces A Brunton, T Bolkart, S Wuhrer European Conference on Computer Vision, 297-312, 2014	49	2014
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	40	2015
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	35	2013
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	27	2019
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	24	2019
A robust multilinear model learning framework for 3d faces T Bolkart, S Wuhrer Proceedings of the IEEE conference on computer vision and pattern …, 2016	15	2016
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	10	2020
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	7	2015
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	5	2015
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	3	2014
Monocular expressive body regression through body-driven attention V Choutas, G Pavlakos, T Bolkart, D Tzionas, MJ Black arXiv preprint arXiv:2008.09062, 2020	1	2020
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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