I will be leaving the University of Siegen at the end of December for an assistant professorship at the University of Bonn! Find more information on my webpage.

Publications

Publications since 2021. You can find a full list of my publication here.

	On the Direct Alignment of Latent Spaces Zorah Lähner, Michael Moeller NeuRIPS Workshop on Unifying Representations in Neural Models (UniReps), 2023
	Kissing to Find a Match: Efficient Low-Rank Permutation Representation Hannah Dröge, Zorah Lähner, Yuval Bahat, Onofre Martorell, Felix Heide, Michael Moeller International Conference on Neural Information Processing Systems (NeuRIPS), 2023
	SIGMA: Scale-Invariant Global Sparse Shape Matching Maolin Gao, Paul Roetzer, Marvin Eisenberger, Zorah Lähner, Michael Moeller, Daniel Cremers, Florian Bernard International Conference on Computer Vision (ICCV), 2023
	A Network Analysis for Correspondence Learning via Linearly-Embedded Functions Sharik Siddiqi, Zorah Lähner German Conference on Pattern Recognition (GCPR), 2023
	Conjugate Product Graphs for Globally Optimal 2D-3D Shape Matching Paul Roetzer, Zorah Lähner, Florian Bernard Conference on Computer Vision and Pattern Recognition (CVPR), 2023	[arXiv]
	CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes Harshil Bhatia, Edith Tretschk, Zorah Lähner, Marcel Seelbach Benkner, Michael Moeller, Christian Theobalt, Vladislav Golyanik Conference on Computer Vision and Pattern Recognition (CVPR), 2023
	QuAnt: Quantum Annealing with Learnt Couplings Marcel Seelbach Benkner, Maximilian Krahn, Edith Tretschk, Zorah Lähner, Michael Moeller, Vladisklav Golyanik International Conference on Learning Representations (ICLR), 2023	[arXiv]
	A Simple Strategy to Provable Invariance via Orbit Mapping Kanchana Vaishnavi Gandikota, Jonas Geiping, Zorah Lähner, Adam Czapliński, Michael Moeller Asian Conference on Computer Vision (ACCV), 2022	[arXiv]
	Light-Weight Learning-Based Depth Estimation From A Single Image Zekarias Negese, Hartmut Bauermeister, Michael Moeller, Emanuele Rodolà, Zorah Lähner ATHENA Research Book, 2022
	Intrinsic Neural Fields: Learning Functions on Manifolds Lukas Koestler, Daniel Grittner, Michael Moeller, Daniel Cremers, Zorah Lähner European Conference on Computer Vision (ECCV), 2022	[arXiv]
	Continuous Correspondence of Non-Rigid 3D Shapes Zorah Lähner Dissertation, TUM University Press, 2021	[pdf]
	Q-Match: Iterative Shape Matching via Quantum Annealing Marcel Seelbach Benkner, Zorah Lähner, Vladislav Golyanik, Christof Wunderlich, Christian Theobalt, Michael Moeller International Conference on Computer Vision (ICCV), 2021	[arXiv]
	Isometric Multi-Shape Matching Maolin Gao, Zorah Lähner, Johan Thunberg, Daniel Cremers, Florian Bernard IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021	[arXiv]