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@inproceedings{Windheuser-et-al-iccv11,
 author = {T. Windheuser and U. Schlickewei and F. R. Schmidt and D. Cremers},
 title = {Geometrically Consistent Elastic Matching of 3D Shapes: A Linear Programming Solution},
 booktitle = {IEEE International Conference on Computer Vision (ICCV)},
 year = {2011},
 titleurl = {WSSC_iccv11.pdf},
 topic = {Shape Analysis},
}

@article{Windheuser-et-al-sgp11,
 author = {T. Windheuser and U. Schlickewei and F. R. Schmidt and D. Cremers},
 title = {Large-Scale Integer Linear Programming for Orientation-Preserving 3D Shape Matching},
 journal = {Computer Graphics Forum (Proceedings Symposium Geometry Processing)},
 number = {5},
 volume = {30},
 pages = {1471--1480},
 year = {2011},
 publisher = {Eurographics},
 titleurl = {WSSC_sgp11.pdf},
 topic = {Shape Analysis},
}

@inproceedings{Windheuser-et-al-iccv09,
 author = {T. Windheuser and T. Schoenemann and D. Cremers},
 title = {Beyond Connecting the Dots: A Polynomial-time Algorithm for
                  Segmentation and Boundary Estimation with Imprecise
                  User Input},
 booktitle = {IEEE International Conference on Computer Vision (ICCV)},
 year = {2009},
 address = {Kyoto, Japan},
 titleurl = {windheuser_et_al_iccv09.pdf},
}

@inproceedings{Windheuser-et-al-eccv12,
 author = {T. Windheuser and H. Ishikawa and D. Cremers},
 title = {Generalized Roof Duality for Multi-Label Optimization: Optimal Lower Bounds and Persistency},
 booktitle = {European Conference on Computer Vision (ECCV)},
 year = {2012},
 address = {Firenze, Italy},
 month = {oct},
}

@inproceedings{Windheuser-et-al-miru12,
 author = {T. Windheuser and H. Ishikawa and D. Cremers},
 title = {QPBOアルゴリズムの多値化による非劣モジュラエネルギー最小化 [QPBO arugorizumu no tachika ni yoru hiretsu mojura enerugī saishōka]},
 booktitle = {Meeting on Image Recognition and Understanding},
 year = {2012},
 address = {Fukuoka, Japan},
 month = {aug},
}

@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{cremers-dcurv14,
 author = {D. Cremers and E. Rodola and T. Windheuser},
 title = {Relaxations for Minimizing Metric Distortion and Elastic Energies for 3D Shape Matching},
 booktitle = {Actes des recontres du CIRM: Courbure discrete: théorie et applications},
 year = {2013},
 volume = {3},
 number = {1},
 pages = {107--117},
 topic = {Shape Analysis, Shape Matching},
}

@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},
}

@inproceedings{Schmidt-et-al-14,
 author = {F. R. Schmidt and T. Windheuser and U. Schlickewei and D. Cremers},
 title = {Dense Elastic 3D Shape Matching},
 booktitle = {Global Optimization Methods},
 series = {LNCS},
 volume = {8293},
 pages = {1--18},
 year = {2014},
 publisher = {Springer},
 titleurl = {schmidt-et-al-14.pdf},
}

@inproceedings{chiotellis2016csdlmnn,
 author = {I. Chiotellis and R. Triebel and T. Windheuser and D. Cremers},
 title = {Non-Rigid 3D Shape Retrieval via Large Margin Nearest Neighbor Embedding},
 booktitle = {European Conference on Computer Vision (ECCV)},
 year = {2016},
 month = {October},
 keywords = {Geometry Processing},
}

@inproceedings{windheusercremers2016,
 author = {T. Windheuser and D. Cremers},
 title = {A Convex Solution to Spatially-Regularized Correspondence Problems},
 booktitle = {European Conference on Computer Vision (ECCV)},
 year = {2016},
 month = {October},
 topic = {Shape Analysis, Convex Relaxation Methods, Correspondence},
 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},
}