% generated by bibtexbrowser % % Encoding: UTF-8 @inproceedings{rodola-cvpr14, author = {E. Rodola and S. R Bulo and T. Windheuser and M. Vestner and D. Cremers}, title = {Dense Non-Rigid Shape Correspondence Using Random Forests}, booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2014}, titleurl = {randomforests.zip}, topic = {Shape Analysis, Shape Matching, Machine Learning}, } @inproceedings{windheus-bmvc14, author = {T. Windheuser and M. Vestner and E. Rodola and R. Triebel and D. Cremers}, title = {Optimal Intrinsic Descriptors for Non-Rigid Shape Analysis}, booktitle = {British Machine Vision Conference (BMVC)}, year = {2014}, titleurl = {windheus-bmvc14.pdf}, topic = {Shape Analysis, Shape Matching, Machine Learning}, } @article{vestner2016bayesian, title = {Bayesian Inference of Bijective Non-Rigid Shape Correspondence}, author = {M. Vestner and R. Litman and A. Bronstein and E. Rodola and D. Cremers}, journal = {arXiv preprint arXiv:1607.03425}, year = {2016}, titleurl = {2016_Bayesian_Inference_Shape.pdf}, topic = {Shape Analysis, Shape Matching}, } @inproceedings{vestner2017pmf, title = {Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space}, author = {M. Vestner and R. Litman and E. Rodola and A. Bronstein and D. Cremers}, booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2017}, titleurl = {2017_ProductManifoldFilter.pdf}, topic = {Shape Analysis, Shape Matching}, keywords = {Geometry Processing}, } @incollection{vestner2016applying, title = {Applying Random Forests to the Problem of Dense Non-rigid Shape Correspondence}, author = {M. Vestner and E. Rodolà and T. Windheuser and RBS. Bulò and D. Cremers}, booktitle = {Perspectives in Shape Analysis}, pages = {231--248}, year = {2016}, publisher = {Springer}, keywords = {Geometry Processing}, } @inproceedings{kernel17, author = {M. Vestner and Z. Lähner and A. Boyarski and O. Litany and R. Slossberg and T. Remez and E. Rodolà and A. M. Bronstein and M. M. Bronstein and R. Kimmel and D. Cremers}, title = {Efficient Deformable Shape Correspondence via Kernel Matching}, booktitle = {International Conference on 3D Vision (3DV)}, year = {2017}, month = {October}, address = {Qingdao, China}, award = {Oral Presentation}, keywords = {Shape Analysis, Shape Matching, Geometry Processing}, } @inproceedings{DykeSLRABBBCFGG19, author = {R. Dyke and C. Stride and Y.-K. Lai and P. L. Rosin and M. Aubry and A. Boyarski and A. M. Bronstein and M. M. Bronstein and D. Cremers and M. Fisher and T. Groueix and D. Guo and V. G. Kim and R. Kimmel and Z. Lähner and K. Li and O. Litany and T. Remez and E. Rodolà and B. C. Russell and Y. Sahillioglu and R. Slossberg and G. K. L. Tam and M. Vestner and Z. Wu and J. Yang}, editor = {Silvia Biasotti and Guillaume Lavou{\'{e}} and Remco C. Veltkamp}, title = {Shape Correspondence with Isometric and Non-Isometric Deformations}, booktitle = {12th Eurographics Workshop on 3D Object Retrieval, 3DOR@Eurographics 2019, Genoa, Italy, May 5-6, 2019}, pages = {111--119}, publisher = {Eurographics Association}, year = {2019}, keywords = {Geometry Processing}, }