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Computer Vision & Artificial Intelligence
TUM School of Computation, Information and Technology
Technical University of Munich

Technical University of Munich

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Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

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Book Chapters
2016
[]Applying Random Forests to the Problem of Dense Non-rigid Shape Correspondence (M. Vestner, E. Rodolà, T. Windheuser, RBS. Bulò and D. Cremers), Chapter in Perspectives in Shape Analysis, Springer, 2016.  [bibtex]
Journal Articles
2011
[]Large-Scale Integer Linear Programming for Orientation-Preserving 3D Shape Matching (T. Windheuser, U. Schlickewei, F. R. Schmidt and D. Cremers), In Computer Graphics Forum (Proceedings Symposium Geometry Processing), Eurographics, volume 30, 2011.  [bibtex] [pdf]
Conference and Workshop Papers
2016
[]A Convex Solution to Spatially-Regularized Correspondence Problems (T. Windheuser and D. Cremers), In European Conference on Computer Vision (ECCV), 2016.  [bibtex] [pdf]
[]Non-Rigid 3D Shape Retrieval via Large Margin Nearest Neighbor Embedding (I. Chiotellis, R. Triebel, T. Windheuser and D. Cremers), In European Conference on Computer Vision (ECCV), 2016. ([code]) [bibtex] [pdf]
2014
[]Dense Elastic 3D Shape Matching (F. R. Schmidt, T. Windheuser, U. Schlickewei and D. Cremers), In Global Optimization Methods, Springer, volume 8293, 2014.  [bibtex] [pdf]
[]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. R Bulo, T. Windheuser, M. Vestner and D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.  [bibtex] [pdf] [code]
2013
[]Relaxations for Minimizing Metric Distortion and Elastic Energies for 3D Shape Matching (D. Cremers, E. Rodola and T. Windheuser), In Actes des recontres du CIRM: Courbure discrete: théorie et applications, volume 3, 2013.  [bibtex] [pdf]
2012
[]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] (T. Windheuser, H. Ishikawa and D. Cremers), In Meeting on Image Recognition and Understanding, 2012.  [bibtex] [pdf]
[]Generalized Roof Duality for Multi-Label Optimization: Optimal Lower Bounds and Persistency (T. Windheuser, H. Ishikawa and D. Cremers), In European Conference on Computer Vision (ECCV), 2012.  [bibtex] [pdf]
2011
[]Geometrically Consistent Elastic Matching of 3D Shapes: A Linear Programming Solution (T. Windheuser, U. Schlickewei, F. R. Schmidt and D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2011.  [bibtex] [pdf]
2009
[]Beyond Connecting the Dots: A Polynomial-time Algorithm for Segmentation and Boundary Estimation with Imprecise User Input (T. Windheuser, T. Schoenemann and D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2009.  [bibtex] [pdf]
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Rechte Seite

Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:
CVG Group DVL Group SRL Group