Zorah joined the Research Group for Computer Vision and Pattern Recognition as a Ph.D. student in November 2015.

Zorah received her Master's degree with distinction in Informatics in 2015 from the Technical University of Munich and her Bachelor's degree in Informatics in 2013 from the University of Bonn. In 2017 she spent one month at Technion under the supervision of Prof. Alex Bronstein and six months at Oculus Research as a Research Intern under the supervision of Dr. Tony Tung. In 2019 she got a DAAD short-term scholarship to visit Prof. Emanuele Rodolà for two months at Sapienza Università di Roma and did a three months internship at Toshiba Research Europe in Cambridge under the supervision of Dr. Roberto Mecca.

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Journal Articles
2019
[]		Functional Maps Representation on Product Manifolds (E Rodolà, Z Lähner, AM. Bronstein, MM. Bronstein and J Solomon), In Computer Graphics Forum, volume 38, 2019. ((Presented at Symposium on Geometry Processing (SGP)) [arxiv]) [bibtex] [pdf]
Conference and Workshop Papers
2023
[]		SIGMA: Quantum Scale-Invariant Global Sparse Shape Matching (M Gao, P Roetzer, M Eisenberger, Z Lähner, M Moeller, D Cremers and F Bernard), In International Conference on Computer Vision (ICCV), 2023. ([pdf]) [bibtex]
2022
[]		Intrinsic Neural Fields: Learning Functions on Manifolds (L Koestler, D Grittner, M Moeller, D Cremers and Z Lähner), In European Conference on Computer Vision (ECCV), 2022. (Code will be released soon.) [bibtex] [arXiv:2203.07967] [pdf]
2021
[]		Isometric Multi-Shape Matching (M Gao, Z Lähner, J Thunberg, D Cremers and F Bernard), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021. ([arxiv]) [bibtex]Oral Presentation
2020
[]		Unsupervised Dense Shape Correspondence using Heat Kernels (M Aygün, Z Lähner and D Cremers), In International Conference on 3D Vision (3DV), 2020. ([arxiv]) [bibtex] [pdf]
[]		Simulated Annealing for 3D Shape Correspondence (B Holzschuh, Z Lähner and D Cremers), In International Conference on 3D Vision (3DV), 2020.  [bibtex] [pdf]Oral Presentation
[]		Smooth Shells: Multi-Scale Shape Registration with Functional Maps (M. Eisenberger, Z. Lähner and D. Cremers), In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2020. ([pdf] [arXiv] [code]) [bibtex]Oral Presentation
2019
[]		Divergence-Free Shape Correspondence by Deformation (M. Eisenberger, Z. Lähner and D. Cremers), In Computer Graphics Forum, volume 38, 2019. ([arxiv]) [bibtex] [pdf]
[]		Shape Correspondence with Isometric and Non-Isometric Deformations (R. Dyke, C. Stride, Y.-K. Lai, P. L. Rosin, M. Aubry, A. Boyarski, A. M. Bronstein, M. M. Bronstein, D. Cremers, M. Fisher, T. Groueix, D. Guo, V. G. Kim, R. Kimmel, Z. Lähner, K. Li, O. Litany, T. Remez, E. Rodolà, B. C. Russell, Y. Sahillioglu, R. Slossberg, G. K. L. Tam, M. Vestner, Z. Wu and J. Yang), In 12th Eurographics Workshop on 3D Object Retrieval, 3DOR@Eurographics 2019, Genoa, Italy, May 5-6, 2019 (S Biasotti, G Lavoué, RC. Veltkamp, eds.), Eurographics Association, 2019.  [bibtex]
2018
[]		DeepWrinkles: Accurate and Realistic Clothing Modeling (Z. Lähner, D. Cremers and T. Tung), In European Conference on Computer Vision (ECCV), 2018. ([Homepage], [Oral Presentation]) [bibtex] [pdf]Oral Presentation
2017
[]		Efficient Deformable Shape Correspondence via Kernel Matching (M. Vestner, Z. Lähner, A. Boyarski, O. Litany, R. Slossberg, T. Remez, E. Rodolà, A. M. Bronstein, M. M. Bronstein, R. Kimmel and D. Cremers), In International Conference on 3D Vision (3DV), 2017. ([arxiv],[Code]) [bibtex] [pdf]Oral Presentation
2016
[]		SHREC’16: Matching of Deformable Shapes with Topological Noise (Z. Lähner, E. Rodola, M. M. Bronstein, D. Cremers, O. Burghard, L. Cosmo, A. Dieckmann, R. Klein and Y. Sahillioglu), In Proc. of Eurographics Workshop on 3D Object Retrieval (3DOR), 2016. ([Dataset]) [bibtex] [pdf] [pdf]
[]		Efficient Globally Optimal 2D-to-3D Deformable Shape Matching (Z. Lähner, E. Rodola, F. R. Schmidt, M. M. Bronstein and D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. ([Code], [Homepage]) [bibtex] [pdf] [pdf]

Winter 2020 - Seminar
Recent Advances in 3D Computer Vision (IN2107)
Seminar for computer science master students (2h / 4 ECTS).

Summer 2020 - Seminar
Shape Analysis and Applications in Computer Vision (IN2107)
Seminar for computer science master students (2h / 4 ECTS).

Winter 2018 - Lecture (tutorials)
Diskrete Strukturen (IN0015)
Mandatory lecture for computer science bachelor students (4h+2h / 8 ECTS).

Winter 2018 - Seminar
Shape Analysis and Optimization (IN2107)
Seminar for computer science and mathematics master students (2h / 4 ECTS).

Summer 2017 - Lecture (tutorials)
Analysis of Three-Dimensional Shapes (IN2238)
Lecture for computer science master students (4h + 2h / 8 ECTS).

Winter 2016 - Seminar
Image Segmentation and Shape Analysis (IN2107)
Seminar for computer science master students (2h / 4 ECTS).

Summer 2016 - Lecture (tutorials)
Analysis of Three-Dimensional Shapes (IN2238)
Lecture for computer science master students (4h + 2h / 8 ECTS).

Summer 2016 - Seminar
Shape Analysis and Applications in Computer Vision (IN2107)
Seminar for computer science master students and mathematics bachelor and master students (2h / 4 ECTS).