Matthias Vestner
Title
Cited by
Cited by
Year
Dense non-rigid shape correspondence using random forests
E Rodolà, S Rota Bulo, T Windheuser, M Vestner, D Cremers
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
1592014
Product Manifold Filter: Non-rigid shape correspondence via kernel density estimation in the product space
M Vestner, R Litman, E Rodolà, A Bronstein, D Cremers
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
902017
Efficient Deformable Shape Correspondence via Kernel Matching
M Vestner, Z Lähner, A Boyarski, O Litany, R Slossberg, T Remez, ...
Intl. Conference on 3D Vision (3DV), 2017
55*2017
Optimal Intrinsic Descriptors for Non-Rigid Shape Analysis.
T Windheuser, M Vestner, E Rodolà, R Triebel, D Cremers
BMVC, 2014
352014
Bayesian inference of bijective non-rigid shape correspondence
M Vestner, R Litman, A Bronstein, E Rodolà, D Cremers
arXiv preprint arXiv:1607.03425, 2016
122016
Applying Random Forests to the Problem of Dense Non-rigid Shape Correspondence
M Vestner, E Rodolà, T Windheuser, SR Bulò, D Cremers
Perspectives in Shape Analysis, 231-248, 2016
2016
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Articles 1–6