A.  Blattmann, Milbich, T., Dorkenwald, M., and Ommer, B., ?Behavior-Driven Synthesis of Human Dynamics?, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2021.

T.  Milbich, Roth, K., Sinha, S., Schmidt, L., Ghassemi, M., and Ommer, B., ?Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning?. 2021.

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.

M.  Jahn, Rombach, R., and Ommer, B., ?High-Resolution Complex Scene Synthesis with Transformers?, in CVPR 2021, AI for Content Creation Workshop, 2021.

P.  Esser, Rombach, R., Blattmann, A., and Ommer, B., ?ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis?. 2021.

A.  Sanakoyeu, Ma, P., Tschernezki, V., and Ommer, B., ?Improving Deep Metric Learning by Divide and Conquer?, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.

A.  Blattmann, Milbich, T., Dorkenwald, M., and Ommer, B., ?iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis?, in Proceedings of the International Conference on Computer Vision (ICCV), 2021.

M.  Afifi, Derpanis, K. G., Ommer, B., and Brown, M. S., ?Learning Multi-Scale Photo Exposure Correction?, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

C.  Pape, Remme, R., Wolny, A., Olberg, S., Wolf, S., Cerrone, L., Cortese, M., Klaus, S., Lucic, B., Ullrich, S., Anders-Össwein, M., Wolf, S., Cerikan, B., Neufeldt, C. J., Ganter, M., Schnitzler, P., Merle, U., Lusic, M., Boulant, S., Stanifer, M., Bartenschlager, R., Hamprecht, F. A., Kreshuk, A., Tischer, C., Kräusslich, H. - G., Müller, B., and Laketa, V., ?Microscopy-based assay for semi-quantitative detection of SARS-CoV-2 specific antibodies in human sera?, BioEssays, vol. 43, no. 3, 2021.

D.  Kotovenko, Wright, M., Heimbrecht, A., and Ommer, B., ?Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes?, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2021.

K.  Roth, Milbich, T., Ommer, B., Cohen, J. Paul, and Ghassemi, M., ?S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning?, Proceedings of International Conference on Machine Learning (ICML). 2021.

M. Amirul Islam, Kowal, M., Esser, P., Jia, S., Ommer, B., Derpanis, K. G., and Bruce, N., ?Shape or Texture: Understanding Discriminative Features in CNNs?, International Conference on Learning Representations (ICLR). 2021.

M.  Dorkenwald, Milbich, T., Blattmann, A., Rombach, R., Derpanis, K. G., and Ommer, B., ?Stochastic Image-to-Video Synthesis usin cINNs?, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2021.

P.  Esser, Rombach, R., and Ommer, B., ?Taming Transformers for High-Resolution Image Synthesis?, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2021.

S.  Lang and Ommer, B., ?Transforming Information Into Knowledge: How Computational Methods Reshape Art History?, Digital Humanities Quaterly (DHQ), vol. 15, no. 3, 2021.

S.  Lang and Ommer, B., ?Transforming Information Into Knowledge: How Computational Methods Reshape Art History?, Digital Humanities Quaterly (DHQ), vol. 15, no. 3, 2021.

A.  Blattmann, Milbich, T., Dorkenwald, M., and Ommer, B., ?Understanding Object Dynamics for Interactive Image-to-Video Synthesis?, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2021.

B.  Brattoli, Büchler, U., Dorkenwald, M., Reiser, P., Filli, L., Helmchen, F., Wahl, A. - S., and Ommer, B., ?Unsupervised behaviour analysis and magnification (uBAM) using deep learning?, Nature Machine Intelligence, 2021.

S.  Lang and Ommer, B., ?Das Objekt jenseits der Digitalisierung?, Das digitale Objekt, vol. 7. 2020.

T.  Dencker, Klinkisch, P., Maul, S. M., and Ommer, B., ?Deep learning of cuneiform sign detection with weak supervision using transliteration alignment?, PLoS ONE, vol. 15, no. 12, 2020.

P.  Esser, Rombach, R., and Ommer, B., ?A Disentangling Invertible Interpretation Network for Explaining Latent Representations?, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2020.

T.  Milbich, Roth, K., Bharadhwaj, H., Sinha, S., Bengio, Y., Ommer, B., and Cohen, J. Paul, ?DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning?, IEEE European Conference on Computer Vision (ECCV). 2020.

R.  Rombach, Esser, P., and Ommer, B., ?Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with INNs?, IEEE European Conference on Computer Vision (ECCV). 2020.

R.  Rombach, Esser, P., and Ommer, B., ?Network Fusion for Content Creation with Conditional INNs?, in CVPRW 2020 (AI for Content Creation), 2020.

R.  Rombach, Esser, P., and Ommer, B., ?Network-to-Network Translation with Conditional Invertible Neural Networks?,  Neural Information Processing Systems (NeurIPS) (Oral). 2020.

P.  Esser, Rombach, R., and Ommer, B., ?A Note on Data Biases in Generative Models?, in NeurIPS 2020 Workshop on Machine Learning for Creativity and Design, 2020.

N.  Ufer, Lang, S., and Ommer, B., ?Object Retrieval and Localization in Large Art Collections Using Deep Multi-style Feature Fusion and Iterative Voting?, IEEE European Conference on Computer Vision (ECCV), VISART Workshop . 2020.

T.  Milbich, Roth, K., and Ommer, B., ?PADS: Policy-Adapted Sampling for Visual Similarity Learning?, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020, vol. 1, no. 1.

K.  Roth, Milbich, T., Sinha, S., Gupta, P., Ommer, B., and Cohen, J. Paul, ?Revisiting Training Strategies and Generalization Performance in Deep Metric Learning?, International Conference on Machine Learning (ICML). 2020.

T.  Milbich, Roth, K., Brattoli, B., and Ommer, B., ?Sharing Matters for Generalization in Deep Metric Learning?, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.

M.  Dorkenwald, Büchler, U., and Ommer, B., ?Unsupervised Magnification of Posture Deviations Across Subjects?, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2020.

S.  Braun, Esser, P., and Ommer, B., ?Unsupervised Part Discovery by Unsupervised Disentanglement?, Proceedings of the German Conference on Pattern Recognition (GCPR) (Oral). Tübingen, 2020.

T.  Milbich, Ghori, O., and Ommer, B., ?Unsupervised Representation Learning by Discovering Reliable Image Relations?, Pattern Recognition, vol. 102, 2020.

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.

A.  Sanakoyeu, Tschernezki, V., Büchler, U., and Ommer, B., ?Divide and Conquer the Embedding Space for Metric Learning?,  Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2019.

B.  Brattoli, Roth, K., and Ommer, B., ?MIC: Mining Interclass Characteristics for Improved Metric Learning?, in Proceedings of the Intl. Conf. on Computer Vision (ICCV), 2019.

D.  Lorenz, Bereska, L., Milbich, T., and Ommer, B., ?Unsupervised Part-Based Disentangling of Object Shape and Appearance?, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Oral + Best paper finalist: top 45 / 5160 submissions), 2019.

P.  Esser, Haux, J., and Ommer, B., ?Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis?, in Proceedings of the Intl. Conf. on Computer Vision (ICCV), 2019.

D.  Kotovenko, Sanakoyeu, A., Lang, S., Ma, P., and Ommer, B., ?Using a Transformation Content Block For Image Style Transfer?, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2019.

N.  Ufer, Lui, K. To, Schwarz, K., Warkentin, P., and Ommer, B., ?Weakly Supervised Learning of Dense SemanticCorrespondences and Segmentation?, in German Conference on Pattern Recognition (GCPR), 2019.

S.  Lang and Ommer, B., ?Attesting Similarity: Supporting the Organization and Study of Art Image Collections with Computer Vision?, Digital Scholarship in the Humanities, Oxford University Press, vol. 33, no. 4, pp. 845-856, 2018.

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

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.

A.  Sanakoyeu, Bautista, M., and Ommer, B., ?Deep Unsupervised Learning of Visual Similarities?, Pattern Recognition, vol. 78, 2018.

A. - S.  Wahl, Erlebach, E., Brattoli, B., Büchler, U., Kaiser, J., Ineichen, V. B., Mosberger, A. C., Schneeberger, S., Imobersteg, S., Wieckhorst, M., Stirn, M., Schroeter, A., Ommer, B., and Schwab, M. E., ?Early reduced behavioral activity induced by large strokes affects the efficiency of enriched environment in rats?, Sage Journals, vol.  Journal of Cerebral Blood Flow & Metabolism, 2018.

U.  Büchler, Brattoli, B., and Ommer, B., ?Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning?, in Proceedings of the European Conference on Computer Vision (ECCV), Munich, Germany, 2018.

O.  Ghori, Mackowiak, R., Bautista, M., Beuter, N., Drumond, L., Diego, F., and Ommer, B., ?Learning to Forecast Pedestrian Intention from Pose Dynamics?, in Intelligent Vehicles, IEEE, 2018, 2018.

S.  Lang and Ommer, B., ?Reconstructing Histories: Analyzing Exhibition Photographs with Computational Methods?, Arts, Computational Aesthetics, vol. 7, 64, no. 64, 2018.

S.  Lang and Ommer, B., ?Reflecting on How Artworks Are Processed and Analyzed by Computer Vision?, European Conference on Computer Vision (ECCV - VISART). Springer, 2018.

A.  Sanakoyeu, Kotovenko, D., Lang, S., and Ommer, B., ?A Style-Aware Content Loss for Real-time HD Style Transfer?, in Proceedings of the European Conference on Computer Vision (ECCV) (Oral), 2018.

P.  Esser, Haux, J., Milbich, T., and Ommer, B., ?Towards Learning a Realistic Rendering of Human Behavior?, in European Conference on Computer Vision (ECCV - HBUGEN), 2018.

P.  Esser, Sutter, E., and Ommer, B., ?A Variational U-Net for Conditional Appearance and Shape Generation?, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (short Oral), 2018.

O.  Blum, Brattoli, B., and Ommer, B., ?X-GAN: Improving Generative Adversarial Networks with ConveX Combinations?, in German Conference on Pattern Recognition (GCPR) (Oral), Stuttgart, Germany, 2018.

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

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.

E.  Levinkov, Uhrig, J., Tang, S., Omran, M., Insafutdinov, E., Kirillov, A., Rother, C., Brox, T., Schiele, B., and Andres, B., ?Joint graph decomposition & node labeling: Problem, algorithms, applications?, in Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, 2017, vol. 2017-Janua, pp. 1904?1912.

M.  Bautista, Fuchs, P., and Ommer, B., ?Learning Where to Drive by Watching Others?, Proceedings of the German Conference Pattern Recognition, vol. 1. Springer-Verlag, Basel, 2017.

B.  Brattoli, Büchler, U., Wahl, A. - S., Schwab, M. E., and Ommer, B., ?LSTM Self-Supervision for Detailed Behavior Analysis?, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

V.  Ulman, Ma?ka, M., Magnusson, K. E. G., Ronneberger, O., Haubold, C., Harder, N., Matula, P., Matula, P., Svoboda, D., Radojevic, M., Smal, I., Rohr, K., Jaldén, J., Blau, H. M., Dzyubachyk, O., Lelieveldt, B., Xiao, P., Li, Y., Cho, S. - Y., Dufour, A., Olivo-Marin, J. C., Reyes-Aldasoro, C. C., Solis-Lemus, J. A., Bensch, R., Brox, T., Stegmaier, J., Mikut, R., Wolf, S., Hamprecht, F. A., Esteves, T., Quelhas, P., Demirel, Ö., Malström, L., Jug, F., Toman?ák, P., Meijering, E., Muñoz-Barrutia, A., Kozubek, M., and Ortiz-de-Solorzano, C., ?An Objective Comparison of Cell Tracking Algorithms?, Nature Methods, vol. 14, no. 12, pp. 1141-1152, 2017.

A. - S.  Wahl, Büchler, U., Brändli, A., Brattoli, B., Musall, S., Kasper, H., Ineichen, B. V., Helmchen, F., Ommer, B., and Schwab, M. E., ?Optogenetically stimulating the intact corticospinal tract post-stroke restores motor control through regionalized functional circuit formation?, Nature Communications, p. (ASW & UB contributed equally; BO and MES contributed equally), 2017.

Ö.  Sümer, Dencker, T., and Ommer, B., ?Self-supervised Learning of Pose Embeddings from Spatiotemporal Relations in Videos?, in Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2017.

T.  Milbich, Bautista, M., Sutter, E., and Ommer, B., ?Unsupervised Video Understanding by Reconciliation of Posture Similarities?, in Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2017.

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.

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.

E.  Meijering, Carpenter, A. E., Peng, H., Hamprecht, F. A., and Olivo-Marin, J., ?Imagining the future of bioimage analysis?, Nature Biotechnology, vol. 34, no. 12, pp. 1250-1255, 2016.

P.  Yarlagadda and Ommer, B., ?Beyond the Sum of Parts: Voting with Groups of Dependent Entities?, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, p. 1134--1147, 2015.

J. C.  Rubio, Eigenstetter, A., and Ommer, B., ?Generative Regularization with Latent Topics for Discriminative Object Recognition?, Pattern Recognition, vol. 48, p. 3871--3880, 2015.

B.  Antic and Ommer, B., ?Per-Sample Kernel Adaptation for Visual Recognition and Grouping?, in Proceedings of the IEEE International Conference on Computer Vision, 2015.

J. C.  Rubio and Ommer, B., ?Regularizing Max-Margin Exemplars by Reconstruction and Generative Models?, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015, p. 4213--4221.

B.  Antic, Büchler, U., Wahl, A. - S., Schwab, M. E., and Ommer, B., ?Spatiotemporal Parsing of Motor Kinematics for Assessing Stroke Recovery?, in Medical Image Computing and Computer-Assisted Intervention, 2015.

B.  Antic and Ommer, B., ?Spatio-temporal Video Parsing for Abnormality Detection?, arXiv, vol. abs/1502.06235, 2015.

P.  Bell and Ommer, B., ?Training Argus?, Kunstchronik. Monatsschrift für Kunstwissenschaft, Museumswesen und Denkmalpflege, vol. 68, p. 414--420, 2015.

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.

A. - S.  Wahl, Omlor, W., Rubio, J. C., Chen, J. L., Zheng, H., Schröter, A., Gullo, M., Weinmann, O., Kobayashi, K., Helmchen, F., Ommer, B., and Schwab, M. E., ?Asynchronous Therapy Restores Motor Control by Rewiring of the Rat Corticospinal Tract after Stroke?, Science, vol. 344, p. 1250--1255, 2014.

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.

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.

B.  Antic and Ommer, B., ?Learning Latent Constituents for Recognition of Group Activities in Video?, in Proceedings of the European Conference on Computer Vision (ECCV) (Oral), 2014, p. 33--47.

A.  Monroy, Bell, P., and Ommer, B., ?Morphological Analysis for Investigating Artistic Images?, Image and Vision Computing, vol. 32, p. 414--423, 2014.

M.  Takami, Bell, P., and Ommer, B., ?Offline Learning of Prototypical Negatives for Efficient Online Exemplar SVM?, in Winter Conference on Applications of Computer Vision, 2014, p. 377--384.

A.  Eigenstetter, Takami, M., and Ommer, B., ?Randomized Max-Margin Compositions for Visual Recognition?, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014, p. 3590--3597.

S.  Lenor, Martini, J., Jähne, B., Stopper, U., Weber, S., and Ohr, F., ?Tracking-based visibility estimation?, in Pattern Recognition, 36th German Conference, GCPR 2014, Münster, Germany, September 2-5, 2014, 2014, vol. 8753, p. 365--376.

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.

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

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.

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.

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

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.

P.  Swoboda and Schnörr, C., ?Variational Image Segmentation and Cosegmentation with the Wasserstein Distance?, in Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013, vol. 8081, p. 321--334.

P.  Swoboda and Schnörr, C., ?Variational Image Segmentation and Cosegmentation with the Wasserstein Distance?, in Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013, vol. 8081, pp. 321?334.

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.

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.

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.

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.

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.

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.

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

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

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.

E.  Töppe, Oswald, M. R., Cremers, D., and Rother, C., ?Image-based 3D modeling via cheeger sets?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2011, vol. 6492 LNCS, pp. 53?64.

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.

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.

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

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

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.

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.

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.

N.  Ozlu, Monigatti, F., Renard, B. Y., Field, C. M., Steen, H., Mitchison, T. J., and Steen, J. J., ?Binding partner switching on microtubules and aurora-B in the mitosis to cytokinesis transition?, Molecular & Cellular Proteomics, 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.

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.

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.

J. F.  Acker, Berkels, B., Bredies, K., Diallo, M. S., Droske, M., Garbe, C. S., Holschneider, M., Hron, J., Kondermann, C., Kulesh, M., Maass, P., Olischläger, N., and Peitgen, H. - O., ?Inverse Problems and Parameter Identification in Image Processing?, Mathematical Methods in Time Series Analysis and Digital Image Processing. Springer, p. 111--151, 2008.

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

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.

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.

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.

B. H.  Menze, Muehl, S., and Sherratt, A. G., ?Virtual Survey on North Mesopotamian Tell Sites by Means of Satellite Remote Sensing?, in Broadening Horizons: Multidisciplinary Approaches to Landscape Study, 2007, pp. 5-29.

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.

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.

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.

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.

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.

J. A. M.  Janssen, Calkoen, C. J., van Halsema, D., Jähne, B., Janssen, P. A. E. M., Oost, W. A., Snoeij, P., Vogelzang, J., and Wallbrink, H., ?The VIERS scatterometer algorithm?, in Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993, 1996, p. 749--754.

J. A. M.  Janssen, Calkoen, C. J., van Halsema, D., Jähne, B., Janssen, P. A. E. M., Oost, W. A., Snoeij, P., Vogelzang, J., and Wallbrink, H., ?The VIERS scatterometer algorithm?, in Proc. The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993, 1993, p. 749--754.

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.

P.  Snoeij, van Halsema, D., Oost, W. A., Calkoen, C. J., Jähne, B., and Vogelzang, J., ?Microwave backscatter measurements made from the Dutch Ocean Research Tower 'Noordwijk' compared with model predictions?, in Proc. IGARSS'92, 1992.

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., ?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.

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.

D.  van Halsema, Snoeij, P., Calkoen, C. J., Oost, W. A., Vogelzang, J., and Jähne, B., ?Modulation of the microwave backscatter by long gravity waves as measured in a very large wind/wave flume?, in Proc. IGARSS '91, 1991, vol. 3, p. 1293--1296.

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.

P.  Snoeij, Vogelzang, J., Calkoen, C. J., Oost, W. A., van Halsema, D., and Jähne, B., ?A high resolution scatterometer for radar backscatter measurements of wind generated waves in wind/wave tanks?, in European Micro Wave Conference 1990, 1990.

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.  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.

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.