Publications

S. Petra and Schnörr, C., “TomoPIV meets Compressed Sensing”, Pure Math. Appl., vol. 20, pp. 49 – 76, 2009.

S. Petra and Schnörr, C., “TomoPIV meets Compressed Sensing”, IWR, University of Heidelberg, 2009.

S. Petra and Schnörr, C., “TomoPIV meets Compressed Sensing”, Pure Math.~Appl., vol. 20, p. 49 -- 76, 2009.

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)

N. Gianniotis, Tiño, P., Spreckley, S., and Raychaudhury, S., “Topographic Mapping of Astronomical Light Curves via a Physically Inspired Probabilistic Model”, in Proceedings of ICANN 2009, 2009, pp. 567-576.

H. Meine, Köthe, U., and Stelldinger, P., “A Topological Sampling Theorem for Robust Boundary Reconstruction and Image Segmentation”, Discrete Applied Mathematics, vol. 157, pp. 524-541, 2008.

K. Bredies, Holler, M., Storath, M., and Weinmann, A., “Total Generalized Variation for Manifold-valued Data”, SIAM Journal on Imaging Sciences, vol. 11, no. 3, pp. 1785 - 1848, 2018.

H. Haußecker, Garbe, C. S., Spies, H., and Jähne, B., “A total least squares framework for low-level analysis of dynamic scenes and processes”, in Proceedings of the 21th DAGM Symposium on Pattern Recognition, 1999, p. 240--249.

M. Esposito, Hennersperger, C., Göbl, R., Demaret, L., Storath, M., Navab, N., Baust, M., and Weinmann, A., “Total variation regularization of pose signals with an application to 3D freehand ultrasound”, IEEE Transactions on Medical Imaging, vol. 38(10), pp. 2245-2258, 2019.

J. Yuan, Schnörr, C., and Steidl, G., “Total-Variation Based Piecewise Affine Regularization”, in Scale Space and Variational Methods in Computer Vision (SSVM 2009), 2009, vol. 5567, pp. 552-564.

Technical Report (478.04 KB)

J. Yuan, Schnörr, C., and Steidl, G., “Total-Variation Based Piecewise Affine Regularization”, in Scale Space and Variational Methods in Computer Vision (SSVM 2009), 2009, vol. 5567, pp. 552-564.

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. 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. P. Kauppi, Kandemir, M., Saarinen, V. M., Hirvenkari, L., Parkkonen, L., Klami, A., Hari, R., and Kaski, S., “Towards brain-activity-controlled information retrieval: Decoding image relevance from MEG signals”, NeuroImage, vol. 112, pp. 288-298, 2015.

Technical Report (2.39 MB)

M. Hanselmann, Köthe, U., Kirchner, M., Renard, B. Y., Amstalden, E. R., Glunde, K., Heeren, R. M. A., and Hamprecht, F. A., “Towards Digital Staining using Imaging Mass Spectrometry and Random Forests”, Journal of Proteome Research, vol. 8, pp. 3558-3567, 2009.

Technical Report (1.47 MB)

J. H. Kappes, Speth, M., Reinelt, G., and Schnörr, C., “Towards Efficient and Exact MAP-Inference for Large Scale Discrete Computer Vision Problems via Combinatorial Optimization”, in CVPR, 2013.

Technical Report (623.84 KB)

J. H. Kappes, Speth, M., Reinelt, G., and Schnörr, C., “Towards Efficient and Exact MAP-Inference for Large Scale Discrete Computer Vision Problems via Combinatorial Optimization”, in CVPR, 2013.

D. Trofimova, “Towards Four Dimensional Visualization of Air-Water Gas Exchange”, vol. Dissertation. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ. Heidelberg, 2015.

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.

L. Maier-Hein, Franz, A. M., Fangerau, M., Schmidt, M., Seitel, A., Mersmann, S., Kilgus, T., Groch, A., Yung, K., Santos, T. R. dos, and Meinzer, H. - P., “Towards mobile augmented reality for on-patient visualization of medical images”, in Bildverarbeitung für die Medizin (2011), 2011, p. 389--393.

B. Jähne and Garbe, C. S., “Towards objective performance analysis for estimation of complex motion: analytic motion modeling, filter optimization, and test sequences”, in In Proceedings of IEEE International Conference on Image Processing, 2003.

D. Cremers, Sochen, N., and Schnörr, C., “Towards Recognition-Based Variational Segmentation Using Shape Priors and Dynamic Labeling”, in Scale Space Methods in Computer Vision, 2003, vol. 2695, p. 388--400.

Technical Report (451.82 KB)

D. Cremers, Sochen, N., and Schnörr, C., “Towards Recognition-Based Variational Segmentation Using Shape Priors and Dynamic Labeling”, in Scale Space Methods in Computer Vision, 2003, vol. 2695, pp. 388–400.

J. Esparza, Helmle, M., and Jähne, B., “Towards surround stereo vision: analysis of a new surround view camera configuration for driving asistance applications”, in 17th International Conference on Intelligent Transportation Systems (ITSC 2014), 2014.

S. Xiao, “Tracking Dividing Cells Using Spatio-Temporal Embeddings”, Heidelberg University, 2019.

D. Wierzimok, Hering, F., and Brunswig, F., “Tracking in Strömungsbildfolgen”, in Proc. 14. DAGM-Symposium Mustererkennung, 1992.

L. Fiaschi, Diego, F., Grosser, K. - H., Schiegg, M., Köthe, U., Zlatic, M., and Hamprecht, F. A., “Tracking indistinguishable translucent objects over time using weakly supervised structured learning”, in CVPR. Proceedings, 2014, pp. 2736 - 2743.

Technical Report (1.47 MB)

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.

B. X. Kausler, “Tracking-by-Assignment as a Probabilistic Graphical Model with Applications in Developmental Biology”. University of Heidelberg, 2013.

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

B. Jähne, “Transfer processes across the free water interface”, vol. Habilitation. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ. Heidelberg, 1985.

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

B. Jähne and Schwarzkopf, P., “Transparency for Industrial Cameras and Sensors”. 2009.

B. Jähne, Transport at the Air Sea Interface --- Measurements, Models and Parameterizations. Springer, 2007.

Pages