Zorah Lähner

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Daniel CremersTechnical University of MunichVerified email at tum.de
Michael BronsteinDeepMind Professor of AI, University of Oxford / Head Graph ML Research, TwitterVerified email at cs.ox.ac.uk
Emanuele RodolàProfessor of Computer Science, Sapienza University of RomeVerified email at di.uniroma1.it
Alex BronsteinTechnion, Department of Computer ScienceVerified email at technion.ac.il
Tony TUNGResearch Scientist Manager, Facebook Reality LabsVerified email at fb.com
Or LitanyResearch Scientist, NVIDIAVerified email at nvidia.com
Ron KimmelMontreal Chair Professor of Computer Science (& ECE), Technion, IsraelVerified email at cs.technion.ac.il
Ron SlossbergTechnion - Israel Institute of TechnologyVerified email at tx.technion.ac.il
Tal RemezGoogle ResearchVerified email at google.com
Marvin EisenbergerPhD Student, Technische Universität MünchenVerified email at in.tum.de
Matthias VestnerComputer Vision Group, Technische Universität MünchenVerified email at in.tum.de
Luca CosmoCa' Foscari University of VeniceVerified email at unive.it
Michael MoellerProfessor for Computer Vision, University of Siegen, GermanyVerified email at uni-siegen.de
Justin SolomonMITVerified email at mit.edu
Frank R. SchmidtBosch Center for Artificial IntelligenceVerified email at de.bosch.com
Florian BernardAssistant Professor, University of BonnVerified email at in.tum.de
Johan ThunbergAssociate Professor, Halmstad University, SwedenVerified email at hh.se
Vladislav GolyanikMPI for InformaticsVerified email at mpi-inf.mpg.de
Christian TheobaltProfessor, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland UniversityVerified email at mpi-inf.mpg.de
Jonas GeipingPostdoc at University of Maryland, College ParkVerified email at umd.edu

Zorah Lähner

Postdoctoral Researcher, University of Siegen

Verified email at uni-siegen.de - Homepage

Shape Analysis Computer Vision Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Deepwrinkles: Accurate and realistic clothing modeling Z Lahner, D Cremers, T Tung Proceedings of the European conference on computer vision (ECCV), 667-684, 2018	134	2018
Efficient deformable shape correspondence via kernel matching M Vestner, Z Lähner, A Boyarski, O Litany, R Slossberg, T Remez, ... 2017 International Conference on 3D Vision (3DV), 517-526, 2017	63	2017
SHREC’16: Matching of deformable shapes with topological noise Z Lähner, E Rodola, MM Bronstein, D Cremers, O Burghard, L Cosmo, ... Proc. 3DOR 2 (10.2312), 2016	38	2016
Smooth shells: Multi-scale shape registration with functional maps M Eisenberger, Z Lahner, D Cremers Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	27	2020
Efficient globally optimal 2d-to-3d deformable shape matching Z Lahner, E Rodola, FR Schmidt, MM Bronstein, D Cremers Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016	24	2016
Efficient deformable shape correspondence via kernel matching A Boyarski, A Bronstein, M Bronstein, D Cremers, R Kimmel, Z Lähner, ... arXiv preprint arXiv 1707, 2017	20*	2017
Divergence‐Free Shape Correspondence by Deformation M Eisenberger, Z Lähner, D Cremers Computer Graphics Forum 38 (5), 1-12, 2019	19*	2019
Efficient deformable shape correspondence via kernel matching Z Lähner, M Vestner, A Boyarski, O Litany, R Slossberg, T Remez, ... arXiv preprint arXiv:1707.08991, 2017	18*	2017
Shape correspondence with isometric and non-isometric deformations RM Dyke, C Stride, YK Lai, PL Rosin, M Aubry, A Boyarski, AM Bronstein, ... The Eurographics Association, 2019	13*	2019
Functional maps representation on product manifolds E Rodolà, Z Lähner, AM Bronstein, MM Bronstein, J Solomon Computer Graphics Forum 38 (1), 678-689, 2019	12	2019
Efficient deformable shape correspondence via kernel matching Z Lähner, M Vestner, A Boyarski, O Litany, R Slossberg, T Remez, ... arXiv preprint arXiv:1707.08991, 2017	11	2017
Isometric multi-shape matching M Gao, Z Lahner, J Thunberg, D Cremers, F Bernard Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	7	2021
Simulated annealing for 3d shape correspondence B Holzschuh, Z Lähner, D Cremers 2020 International Conference on 3D Vision (3DV), 252-260, 2020	7	2020
Q-match: Iterative shape matching via quantum annealing MS Benkner, Z Lähner, V Golyanik, C Wunderlich, C Theobalt, M Moeller Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021	6	2021
Unsupervised dense shape correspondence using heat kernels M Aygün, Z Lähner, D Cremers 2020 International Conference on 3D Vision (3DV), 573-582, 2020	5	2020
Training or Architecture? How to Incorporate Invariance in Neural Networks KV Gandikota, J Geiping, Z Lähner, A Czapliński, M Moeller arXiv preprint arXiv:2106.10044, 2021	2	2021
Intrinsic neural fields: Learning functions on manifolds L Koestler, D Grittner, M Moeller, D Cremers, Z Lähner arXiv preprint arXiv:2203.07967, 2022	1	2022
Systems and methods for generating accurate and realistic clothing models with wrinkles T Tung, Z Lähner US Patent 11,158,121, 2021	1	2021
Training or Architecture? How to Incorporate Invariance in Neural Networks K Vaishnavi Gandikota, J Geiping, Z Lähner, A Czapliński, M Moeller arXiv e-prints, arXiv: 2106.10044, 2021		2021
Continuous Correspondence of Non-Rigid 3D Shapes. Z Lähner Technical University of Munich, Germany, 2021		2021

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