Zorah Lähner | DeepAI

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Featured Co-authors

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∙ 08/25/2023

Kissing to Find a Match: Efficient Low-Rank Permutation Representation

Permutation matrices play a key role in matching and assignment problems...

0 Hannah Dröge, et al. ∙

∙ 08/16/2023

SIGMA: Scale-Invariant Global Sparse Shape Matching

We propose a novel mixed-integer programming (MIP) formulation for gener...

0 Maolin Gao, et al. ∙

∙ 03/28/2023

CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes

Jointly matching multiple, non-rigidly deformed 3D shapes is a challengi...

0 Harshil Bhatia, et al. ∙

∙ 11/21/2022

Conjugate Product Graphs for Globally Optimal 2D-3D Shape Matching

We consider the problem of finding a continuous and non-rigid matching b...

0 Paul Roetzer, et al. ∙

∙ 10/13/2022

QuAnt: Quantum Annealing with Learnt Couplings

Modern quantum annealers can find high-quality solutions to combinatoria...

0 Marcel Seelbach Benkner, et al. ∙

∙ 09/24/2022

A Simple Strategy to Provable Invariance via Orbit Mapping

Many applications require robustness, or ideally invariance, of neural n...

0 Kanchana Vaishnavi Gandikota, et al. ∙

∙ 03/15/2022

Intrinsic Neural Fields: Learning Functions on Manifolds

Neural fields have gained significant attention in the computer vision c...

0 Lukas Koestler, et al. ∙

∙ 06/18/2021

Training or Architecture? How to Incorporate Invariance in Neural Networks

Many applications require the robustness, or ideally the invariance, of ...

0 Kanchana Vaishnavi Gandikota, et al. ∙

∙ 05/06/2021

Q-Match: Iterative Shape Matching via Quantum Annealing

Finding shape correspondences can be formulated as an NP-hard quadratic ...

0 Marcel Seelbach Benkner, et al. ∙

∙ 12/04/2020

Isometric Multi-Shape Matching

Finding correspondences between shapes is a fundamental problem in compu...

0 Maolin Gao, et al. ∙

∙ 10/23/2020

Unsupervised Dense Shape Correspondence using Heat Kernels

In this work, we propose an unsupervised method for learning dense corre...

0 Mehmet Aygün, et al. ∙

∙ 05/29/2019

Smooth Shells: Multi-Scale Shape Registration with Functional Maps

We propose a novel 3D shape correspondence method based on the iterative...

0 Marvin Eisenberger, et al. ∙

∙ 09/28/2018

Functional Maps Representation on Product Manifolds

We consider the tasks of representing, analyzing and manipulating maps b...

0 Emanuele Rodolà, et al. ∙

∙ 06/27/2018

Divergence-Free Shape Interpolation and Correspondence

We present a novel method to model and calculate deformation fields betw...

0 Marvin Eisenberger, et al. ∙

∙ 07/25/2017

Efficient Deformable Shape Correspondence via Kernel Matching

We present a method to match three dimensional shapes under non-isometri...

0 Zorah Lähner, et al. ∙

∙ 01/22/2016

Efficient Globally Optimal 2D-to-3D Deformable Shape Matching

We propose the first algorithm for non-rigid 2D-to-3D shape matching, wh...

0 Zorah Lähner, et al. ∙

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