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2003

B. Ommer and Buhmann, J. M., “A Compositionality Architecture for Perceptual Feature Grouping”, in Proceedings of the International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, 2003, vol. 2683, p. 275--290.

Technical Report (2.89 MB)

2005

B. Ommer and Buhmann, J. M., “Object Categorization by Compositional Graphical Models”, in Proceedings of the International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, 2005, vol. 3757, p. 235--250.

Technical Report (2.07 MB)

2006

V. Roth and Ommer, B., “Exploiting Low-level Image Segmentation for Object Recognition”, in Pattern Recognition, Symposium of the DAGM, 2006, vol. 4174, p. 11--20.

Technical Report (473.84 KB)

B. Ommer and Buhmann, J. M., “Learning Compositional Categorization Models”, in Proceedings of the European Conference on Computer Vision, 2006, vol. 3953, p. 316--329.

Technical Report (1.35 MB)

B. Ommer, Sauter, M., and M., B. J., “Learning Top-Down Grouping of Compositional Hierarchies for Recognition”, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Workshop on Perceptual Organization in Computer Vision, 2006, p. 194--194.

Technical Report (358.98 KB)

2007

B. Ommer and Buhmann, J. M., “Compositional Object Recognition, Segmentation, and Tracking in Video”, in Proceedings of the International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, 2007, vol. 4679, p. 318--333.

Technical Report (2.78 MB)

B. Ommer and Buhmann, J. M., “Learning the Compositional Nature of Visual Objects”, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2007, p. 1--8.

Technical Report (2.78 MB)

C. Sigg, Fischer, B., Ommer, B., Roth, V., and Buhmann, J. M., “Nonnegative CCA for Audiovisual Source Separation”, in International Workshop on Machine Learning for Signal Processing, 2007, p. 253--258.

Technical Report (1.27 MB)

2008

B. Ommer, Seeing the Objects Behind the Parts: Learning Compositional Models for Visual Recognition. VDM Verlag, 2008.

2009

S. V. E. Keränen, DePace, A., Hendriks, C. L. Luengo, Fowlkes, C., Arbelaez, P., Ommer, B., Brox, T., Henriquez, C., Wunderlich, Z., Eckenrode, K., Fischer, B., Hammonds, A., and Celniker, S. E., “Computational Analysis of Quantitative Changes in Gene Expression and Embryo Morphology between Species”, in Evolution-The Molecular Landscape, 2009.

B. Ommer and Malik, J., “Multi-scale Object Detection by Clustering Lines”, in Proceedings of the IEEE International Conference on Computer Vision, 2009, p. 484--491.

Technical Report (3.18 MB)

B. Ommer, Mader, T., and Buhmann, J. M., “Seeing the Objects Behind the Dots: Recognition in Videos from a Moving Camera”, International Journal of Computer Vision, vol. 83, p. 57--71, 2009.

Technical Report (9.61 MB)

P. Yarlagadda, Monroy, A., Carque, B., and Ommer, B., “Towards a Computer-based Understanding of Medieval Images”, in Scientific Computing & Cultural Heritage, 2009, p. 89--97.

2010

J. Wagner and Ommer, B., “Efficiently Clustering Earth Mover's Distance”, in Proceedins of the Aian Conference on Computer Vision, 2010, p. 477--488.

Technical Report (841.98 KB)

B. Ommer and Buhmann, J. M., “Learning the Compositional Nature of Visual Object Categories for Recognition”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, p. 501--516, 2010.

Technical Report (2.78 MB)

P. Yarlagadda, Monroy, A., Carque, B., and Ommer, B., “Recognition and Analysis of Objects in Medieval Images”, in Proceedins of the Aian Conference on Computer Vision, Workshop on e-Heritage, 2010, p. 296--305.

Technical Report (2.76 MB)

P. Yarlagadda, Monroy, A., and Ommer, B., “Voting by Grouping Dependent Parts”, in Proceedings of the European Conference on Computer Vision, 2010, vol. 6315, p. 197--210.

Technical Report (2.99 MB)

2011

A. Monroy, Eigenstetter, A., and Ommer, B., “Beyond Straight Lines - Object Detection using Curvature”, in International Conference on Image Processing (ICIP), 2011.

Technical Report (2.65 MB)

J. Schlecht and Ommer, B., “Contour-based Object Detection”, in BMVC, 2011, p. 1--9.

Technical Report (2.62 MB)

J. Schlecht, Carque, B., and Ommer, B., “Detecting Gestures in Medieval Images”, in Proceedings of the International Conference on Image Processing, 2011, p. 1309--1312.

Technical Report (1.61 MB)

A. Monroy, Kröger, T., Arnold, M., and Ommer, B., “Parametric Object Detection for Iconographic Analysis”, in Scientific Computing & Cultural Heritage, 2011.

A. Monroy, Carque, B., and Ommer, B., “Reconstructing the Drawing Process of Reproductions from Medieval Images”, in Proceedings of the International Conference on Image Processing, 2011, p. 2974--2977.

Technical Report (2.43 MB)

P. Yarlagadda, Monroy, A., Carque, B., and Ommer, B., “Top-down Analysis of Low-level Object Relatedness Leading to Semantic Understanding of Medieval Image Collections”, in Conference on Computer Vision and Image Analysis of Art II, 2011, vol. 7869, p. 61--69.

Technical Report (11.06 MB)

B. Antic and Ommer, B., “Video Parsing for Abnormality Detection”, in Proceedings of the IEEE International Conference on Computer Vision, 2011, p. 2415--2422.

Technical Report (990.21 KB)

2012

A. Monroy and Ommer, B., “Beyond Bounding-Boxes: Learning Object Shape by Model-driven Grouping”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 7574. Springer, p. 582--595, 2012.

Technical Report (1.58 MB)

P. Yarlagadda and Ommer, B., “From Meaningful Contours to Discriminative Object Shape”, in Proceedings of the European Conference on Computer Vision, 2012, vol. 7572, p. 766--779.

Technical Report (4.58 MB)

P. Yarlagadda, Eigenstetter, A., and Ommer, B., “Learning Discriminative Chamfer Regularization”, in BMVC, 2012, p. 1--11.

A. Eigenstetter, Yarlagadda, P., and Ommer, B., “Max-Margin Regularization for Reducing Accidentalness in Chamfer Matching”, in Proceedins of the Aian Conference on Computer Vision, 2012, p. 152--163.

Technical Report (7.31 MB)

B. Antic and Ommer, B., “Robust Multiple-Instance Learning with Superbags”, in Proceedings of the Aian Conference on Computer Vision (ACCV) (Oral), 2012, p. 242--255.

Technical Report (319.58 KB)

A. Monroy, Bell, P., and Ommer, B., “Shaping Art with Art: Morphological Analysis for Investigating Artistic Reproductions”, in Proceedings of the European Conference on Computer Vision, Workshop on VISART, 2012, vol. 7583, p. 571--580.

Technical Report (7 MB)

A. Eigenstetter and Ommer, B., “Visual Recognition using Embedded Feature Selection for Curvature Self-Similarity”, in Proceedings of the Conference on Advances in Neural Information Processing Systems, 2012, p. 377--385.

Technical Report (3.27 MB)

2013

M. Arnold, Bell, P., and Ommer, B., “Automated Learning of Self-Similarity and Informative Structures in Architecture”, in Scientific Computing & Cultural Heritage, 2013.

B. Antic, Milbich, T., and Ommer, B., “Less is More: Video Trimming for Action Recognition”, in Proceedings of the IEEE International Conference on Computer Vision, Workshop on Understanding Human Activities: Context and Interaction, 2013, p. 515--521.

Technical Report (984.89 KB)

A. Monroy, Bell, P., and Ommer, B., “A Morphometric Approach to Reception Analysis of Premodern Art”, in Scientific Computing & Cultural Heritage, 2013.

Technical Report (17.75 MB)

P. Bell, Schlecht, J., and Ommer, B., “Nonverbal Communication in Medieval Illustrations Revisited by Computer Vision and Art History”, Visual Resources Journal, Special Issue on Digital Art History, vol. 29, p. 26--37, 2013.

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