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

, , , , and . CVPR, page 2185-2193. IEEE Computer Society, (2016)

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Continuous Correspondence of Non-Rigid 3D Shapes.. Technical University of Munich, Germany, (2021)ΣIGMA: Scale-Invariant Global Sparse Shape Matching., , , , , , and . ICCV, page 645-654. IEEE, (2023)Training or Architecture? How to Incorporate Invariance in Neural Networks., , , , and . CoRR, (2021)SIGMA: Scale-Invariant Global Sparse Shape Matching., , , , , , and . CoRR, (2023)Isometric Multi-Shape Matching., , , , and . CVPR, page 14183-14193. Computer Vision Foundation / IEEE, (2021)Isometric Multi-Shape Matching., , , , and . CoRR, (2020)A Network Analysis for Correspondence Learning via Linearly-Embedded Functions., and . DAGM, volume 14264 of Lecture Notes in Computer Science, page 100-114. Springer, (2023)CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes., , , , , , and . CVPR, page 1296-1305. IEEE, (2023)Divergence-Free Shape Correspondence by Deformation., , and . Comput. Graph. Forum, 38 (5): 1-12 (2019)Kissing to Find a Match: Efficient Low-Rank Permutation Representation., , , , , and . CoRR, (2023)