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S

P. Swoboda, Savchynskyy, B., Kappes, J. H., and Schnörr, C., “Partial Optimality via Iterative Pruning for the Potts Model”, in Proceedings of the 4th International Conference on Scale Space and Variational Methods in Computer Vision SSVM, 2013, pp. 477-488.

P. Swoboda, Savchynskyy, B., Kappes, J. H., and Schnörr, C., “Persistency by Pruning for General Graphical Models”, in submitted to NIPS 2013., 2013.

P. Swoboda, Savchynskyy, B., Kappes, J. H., and Schnörr, C., “Partial Optimality by Pruning for MAP-inference with General GraphicalModels”, CVPR. Proceedings. pp. 1170-1177, 2014.

R. Szeliski, Zabih, R., Scharstein, D., Veksler, O., Kolmogorov, V., Agarwala, A., Tappen, M., and Rother, C., “A comparative study of energy minimization methods for Markov random fields with smoothness-based priors”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, pp. 1068–1080, 2008.

R. Szeliski, Zabih, R., Scharstein, D., Veksler, O., Kolmogorov, V., Agarwala, A., Tappen, M., and Rother, C., “A comparative study of energy minimization methods for Markov random fields with smoothness-based priors”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, pp. 1068–1080, 2008.

T

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. 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.

B. Tamburic, “Measurement of the Modulation Transfer Function through the Use of Regional Circular Targets”, Imperial College London, 2006.

B. F. Tek, Kröger, T., Mikula, S., and Hamprecht, F. A., “Automated Cell Nucleus Detection for Large-Volume Electron Microscopy of Neural Tissue”, in ISBI. Proceedings, 2014, pp. 69-72.

Technical Report (533.92 KB)

A. Telea, Preußer, T., Garbe, C. S., Droske, M., and Rumpf, M., “A variational approach to joint denoising, edge detection and motion estimation”, in Proceedings of the 28th DAGM Symposium on Pattern Recognition, 2006, p. 525--535.

C. Thieke, Nix, O., Koehn, A., Floca, R., van Straaten, D., Hahn, H., Strauss, L. G., Siems, U., Graf, M., Pruem, H., Klein, J., Laue, H., and Kaster, F. O., “A framework and multi-application prototype for integrated radiological diagnostics and radiation therapy”, Strahlentherapie und Onkologie, vol. 185, p. 81, 2009.

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.

L. Torresani, Kolmogorov, V., and Rother, C., “Feature correspondence via graph matching: Models and global optimization”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2008, vol. 5303 LNCS, pp. 596–609.

L. Torresani, Kolmogorov, V., and Rother, C., “Feature correspondence via graph matching: Models and global optimization”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2008, vol. 5303 LNCS, pp. 596–609.

S. Tourani, Shekhovtsov, A., Rother, C., and Savchynskyy, B., “MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018, vol. 11208 LNCS, pp. 264–281.

S. Tourani, Shekhovtsov, A., Rother, C., and Savchynskyy, B., “Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization”, in AISTATS 2020, 2020.

PDF (2.58 MB)

H. G. Tremmel, “Untersuchungen zur Wiederbelüftung von Neckar und Rhein mit der Konstantflußmethode”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1989.

S. Trittler, “Processing of Interferometric Data”. University of Heidelberg, 2007.

S. Trittler and Hamprecht, F. A., “Near-Optimum Sampling Design and an Efficient Algorithm for Single Tone Frequency Estimation”, Digital Signal Processing, vol. 19, pp. 628-639, 2009.

Technical Report (511.23 KB)

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

A. Trukenmüller, “Einflüsse von Viskosität u. Oberflächenspannung auf winderzeugte Wasseroberflächenwellen”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1989.

J. Tschiersch, “Optische Messung von Kapillarwellen im Hinblick auf den Gasaustausch”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1980.

J. Tschiersch and Jähne, B., “Gas exchange trough a rough water surface in a circular windtunnel; wave characteristics under limited and unlimited fetch”, Berichte aus dem Sonderforschungsbereich 94 Meeresforschung - Symposium on Capillary Waves and Gas Exchange, Trier July 2--6, 1979. Univ. Hamburg, p. 63--70, 1980.

W. Tvarusk\´o, “Zeitaufgelöste Analyse und Visualisierung in lebenden Zellen”. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2000.

U

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)

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.

article (6.1 MB)

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.

Paper (1.03 MB)

V. Uhlmann, Haubold, C., Hamprecht, F. A., and Unser, M., “Diverse Shortest Paths for Bioimage Analysis”, Bioinformatics, pp. 1-3, 2017.

V. Ulman, Maška, 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., Tomančák, 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.

Technical Report (4.24 MB)

G. Urban, “Neural Networks: Optimization and Applications”, University of Heidelberg, 2014.

G. Urban, Bendszus, M., Hamprecht, F. A., and Kleesiek, J., “Multi-modal Brain Tumor Segmentation using Deep Convolutional NeuralNetworks”, in MICCAI BraTS (Brain Tumor Segmentation) Challenge. Proceedings, winningcontribution, 2014, pp. 31-35.

D. Uttenweiler, Veigel, C., Steubing, R., Götz, C., Mann, S., Haußecker, H., Jähne, B., and Fink, R. H. A., “Motion determination in actin filament fluorescence images with a spatio-temporal orientation analysis method.”, Biophys J, vol. 78, p. 2709--2715, 2000.

D. Uttenweiler, Weber, C., Jähne, B., Fink, R. H. A., and Schaar, H., “Spatiotemporal anisotropic diffusion filtering to improve signal-to-noise ratios and object restoration in fluorescence microscopic image sequences.”, J Biomed Opt, vol. 8, p. 40--47, 2003.

V

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.

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.

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