Direkt zum Inhalt springen
Computer Vision Group
TUM Department of Informatics
Technical University of Munich

Technical University of Munich

Menu


Export as PDF, TEX or BIB

Book Chapters
2016
[]Applying Random Forests to the Problem of Dense Non-rigid Shape Correspondence (Vestner, M., Rodolà, E., Windheuser, T., Bulò, Rota Bulo, S. and Cremers, D.), Chapter in Perspectives in Shape Analysis, Springer, 2016.  [bibtex]
Preprints
2016
[]Bayesian Inference of Bijective Non-Rigid Shape Correspondence (Vestner, M., Litman, R., Bronstein, A., Rodola, E. and Cremers, D.), In arXiv preprint arXiv:1607.03425, 2016. ([slides]) [bibtex] [pdf]
Conference and Workshop Papers
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
[]Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space (Vestner, M., Litman, R., Rodola, E., Bronstein, A. and Cremers, D.), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. ([Code], also check the related github repository) [bibtex] [pdf]
2014
[]Optimal Intrinsic Descriptors for Non-Rigid Shape Analysis (T. Windheuser, M. Vestner, E. Rodola, R. Triebel and D. Cremers), In British Machine Vision Conference (BMVC), 2014.  [bibtex] [pdf]
[]Dense Non-Rigid Shape Correspondence Using Random Forests (E. Rodola, S. Rota Bulo, T. Windheuser, M. Vestner and D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.  [bibtex] [pdf] [code]
Powered by bibtexbrowser
Export as PDF, TEX or BIB

Rechte Seite

Informatik IX
Chair for Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching

info@vision.in.tum.de