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Book

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

Book Chapter

P. Bell and Ommer, B., “Computer Vision und Kunstgeschichte — Dialog zweier Bildwissenschaften”, in Computing Art Reader: Einführung in die digitale Kunstgeschichte, P. Kuroczyński et al. (ed.), 2018.

413-17-83318-2-10-20181210.pdf (2.98 MB)

P. Bell and Ommer, B., “Digital Connoisseur? How Computer Vision Supports Art History”, in Connoisseurship nel XXI secolo. Approcci, Limiti, Prospettive, A. Aggujaro & S. Albl (ed.), Rome: Artemide, 2016.

D. Halsema, Jähne, B., Calkoen, C. J., and Snoeij, P., “First results of the VIERS-1 experiment”, in Radar Scattering from Modulated Wind Waves, W. A. Oost, Komen, G. J., and Oost, W. A., Eds. Kluwer Academic Publishers, 1989, p. 49--57.

D. Halsema, Jähne, B., Calkoen, C. J., and Snoeij, P., “First results of the VIERS-1 experiment”, in Radar Scattering from Modulated Wind Waves, W. A. Oost, Komen, G. J., and Oost, W. A., Eds. Kluwer Academic Publishers, 1989, p. 49--57.

C. S. Garbe and Ommer, B., “Parameter Estimation in Image Processing and Computer Vision”, in Model Based Parameter Estimation: Theory and Applications, Springer, 2013, p. 311--334.

Technical Report (928 KB)

B. Ommer, “The Role of Shape in Visual Recognition”, in Shape Perception in Human Computer Vision: An Interdisciplinary Perspective, Springer, 2013, p. 373--385.

Technical Report (8.18 MB)

P. Yarlagadda, Monroy, A., Carque, B., and Ommer, B., “Towards a Computer-based Understanding of Medieval Images”, in Scientific Computing & Cultural Heritage, Springer, 2013, p. 89--97.

Conference Paper

M. Takami, Bell, P., and Ommer, B., “An Approach to Large Scale Interactive Retrieval of Cultural Heritage”, in Eurographics Workshop on Graphics and Cultural Heritage, 2014.

Technical Report (7.94 MB)

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

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)

M. Bautista, Sanakoyeu, A., Sutter, E., and Ommer, B., “CliqueCNN: Deep Unsupervised Exemplar Learning”, in Proceedings of the Conference on Advances in Neural Information Processing Systems (NIPS), Barcelona, 2016.

Article (5.79 MB)

P. Snoeij, van Halsema, D., Oost, W. A., Calkoen, C. J., Vogelzang, J., and Jähne, B., “Comparison of microwave backscatter measurements and small-scale surface wave measurements made from the Dutch ocean research tower 'Noordwijk'”, in Proceedings IGARSS '91, 1991, vol. 3, p. 1289--1292.

D. van Halsema, Calkoen, C. J., Oost, W. A., Snoeij, P., Vogelzang, J., and Jähne, B., “Comparisons of backscattering calculations with measurements made in a large wind/wave flume”, in Proc. IGARSS'92, 1992, vol. 2, p. 1451--1453.

D. van Halsema, Calkoen, C. J., Oost, W. A., Snoeij, P., and Jähne, B., “Comparisons of X-band Radar Backscatter Measurements with Area extended wave slop measurements made in a large Wind/Wave Tank”, in Proc. IGARSS'89, 1989, vol. 5, p. 2997--3001.

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., “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)

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.

D. Kotovenko, Sanakoyeu, A., Lang, S., and Ommer, B., “Content and Style Disentanglement for Artistic Style Transfer”, in Proceedings of the Intl. Conf. on Computer Vision (ICCV), 2019.

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

Technical Report (2.62 MB)

N. Sayed, Brattoli, B., and Ommer, B., “Cross and Learn: Cross-Modal Self-Supervision”, in German Conference on Pattern Recognition (GCPR) (Oral), Stuttgart, Germany, 2018.

Article (891.47 KB)

Oral slides (9.17 MB)

N. Ufer and Ommer, B., “Deep Semantic Feature Matching”, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

article (8.88 MB)

M. Bautista, Sanakoyeu, A., and Ommer, B., “Deep Unsupervised Similarity Learning using Partially Ordered Sets”, in The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

deep_unsupervised_similarity_learning_cvpr_2017_paper.pdf (905.82 KB)

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)

P. Snoeij, Calkoen, C. J., Oost, W. A., van Halsema, D., Vogelzang, J., and Jähne, B., “Dual-polarized scatterometer measurements of generated Wind and Gravity Wave in a Very Large Wind/Wave Tank”, in Proc. IGARSS'90, 1990, p. 2157--2160.

D. van Halsema, Calkoen, C. J., Oost, W. A., Snoeij, P., Vogelzang, J., and Jähne, B., “Dual-polarized scatterometer measurements of wind and mechanically generated waves in a very large wind/wave flume, the VIERS-1 project”, in Proc.\ 5th Int. Coll. Physical Measurements and Signatures in Remote Sensing, Courchevel, France, 1991, vol. ESA SP-319, p. 247--252.

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. Jähne, “Energy balance in small-scale waves: an experimental approach using optical slope measuring technique and image processing”, in Radar Scattering from Modulated Wind Waves, 1989, p. 105--120.

B. Jähne and Jähne, B., “Evaluation of a two-scale model using extensive radar backscatter and wave measurements in a large wind-wave flume”, in Proceedings IGARSS '91, 1991, vol. 2, p. 885--888.

B. Jähne and Jähne, B., “Evaluation of a two-scale model using extensive radar backscatter and wave measurements in a large wind-wave flume”, in Proceedings IGARSS '91, 1991, vol. 2, p. 885--888.

M. Kandemir, Rubio, J. C., Schmidt, U., Wojek, C., Welbl, J., Ommer, B., and Hamprecht, F. A., “Event Detection by Feature Unpredictability in Phase-Contrast Videos of Cell Cultures”, in Medical Image Computing and Computer-Assisted Intervention, 2014, p. 154--161.

Technical Report (2 MB)

M. Kandemir, Rubio, J. C., Schmidt, U., Welbl, J., Ommer, B., and Hamprecht, F. A., “Event Detection by Feature Unpredictability in Phase-Contrast Videos of Cell Cultures”, in MICCAI. Proceedings, 2014, pp. 154-161.

Paper (2 MB)

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)

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)

R. Rombach, Esser, P., and Ommer, B., “Geometry-Free View Synthesis: Transformers and no 3D Priors”, in Proceedings of the Intl. Conf. on Computer Vision (ICCV), 2021.

Pages