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D

A. Sellen, Fogg, A., Aitken, M., Hodges, S., Rother, C., and Wood, K., “Do life-logging technologies support memory for the past? An experimental study using sensecam”, in Conference on Human Factors in Computing Systems - Proceedings, 2007, pp. 81–90.

S. Kraus, “DOASIS a framework design for DOAS”. Technische Informatik, Univ.\ Mannheim, 2006.

S. Kraus, “DOASIS a framework design for DOAS”. Technische Informatik, Univ. Mannheim, 2006.

T. Kohlberger, Schnörr, C., Bruhn, A., and Weickert, J., “Domain Decomposition for Parallel Variational Optical Flow Computation”, in Pattern Recognition, Proc. 25th DAGM Symposium, 2003, vol. 2781, pp. 196–203.

T. Kohlberger, Schnörr, C., Bruhn, A., and Weickert, J., “Domain decomposition for variational optical flow computation”, IEEE Trans. Image Proc., vol. 14, pp. 1125-1137, 2005.

T. Kohlberger, Schnörr, C., Bruhn, A., and Weickert, J., “Domain Decomposition for Variational Optical Flow Computation”, Dept. Math. and Comp. Science, University of Mannheim, Germany, 07/2003, 2003.

F. Aström and Schnörr, C., “Double-Opponent Vectorial Total Variation”, in Proc. ECCV, 2016.

J. Scholz, Wiersbinski, T., Ruhnau, P., Kondermann, D., Garbe, C. S., Hain, R., and Beushausen, V., “Double-pulse planar-LIF investigations using fluorescence motion analysis for mixture formation investigation”, Exp. Fluids, vol. 45, p. 583--593, 2008.

J. Scholz, Wiersbinski, T., Ruhnau, P., Kondermann, D., Garbe, C. S., Hain, R., and Beushausen, V., “Double-pulse planar-LIF investigations using fluorescence motion analysis for mixture formation investigation”, in 7th International Symposium on Particle Image Velocimetry Rome, 11. - 14.Sept., 2007.

T. Netzsch and Jähne, B., “Dreidimensionale Messung turbulenter Strömung mit Bildverarbeitung”, in Proc. 14. DAGM-Symposium zur Mustererkennung, 1992, p. 150--153.

T. Netzsch, “Dreidimensionale Particle Tracking Velocimetry”. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1995.

E. Brachmann, Krull, A., Nowozin, S., Shotton, J., Michel, F., Gumhold, S., and Rother, C., “DSAC - Differentiable RANSAC for camera localization”, in Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, 2017, vol. 2017-Janua, pp. 2492–2500.

P. Swoboda, Kuske, J., and Savchynskyy, B., “A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems”, arXiv, preprint, 2016.

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.

T. Münsterer, Mayer, H. Jürgen, Jähne, B., and Jähne, B., “Dual-tracer measurements of concentration profiles in the aqueous mass boundary layer”, in Air-water Gas Transfer, Selected Papers from the Third International Symposium on Air--Water Gas Transfer, 1995, p. 637--648.

K. Wiehler, Grigat, R. –R., Heers, J., Schnörr, C., and Stiehl, H. S., “Dynamic Circular Cellular Networks for Adaptive Smoothing of Multi–Dimensional Signals”, in Proc. 5th IEEE Int. Workshop on Cellular Neural Networks and their Applications, London, 1998.

C. M. Senet, “Dynamics of dispersive boundaries: the determination of spatial hydrographic parameter maps from optical sea surface image sequences”. Universität Hamburg, FB Informatik, 2004.

E

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.

0271678x18777661.pdf (770.87 KB)

H. Schäfer, Lenzen, F., Meister, S., and Garbe, C. S., “Edge Detection in Time-of-Flight Images”, in submitted to ECCV, 2nd Workshop on Consumer Depth Cameras for Computer Vision, 2012.

M. Storath, Brandt, C., Hofmann, M., Knopp, T., Salamon, J., Weber, A., and Weinmann, A., “Edge preserving and noise reducing reconstruction for magnetic particle imaging”, IEEE Transactions on Medical Imaging, vol. 36, no. 1, pp. 74 - 85, 2017.

Technical Report (1.43 MB)

C. J. Zappa, Asher, W. E., Jessup, A. T., Klinke, J., and Long, S. R., “Effect of microscale wave breaking on air-water gas transfer”, in Gas Transfer at Water Surfaces, 2002, vol. 127, p. 23--29.

J. Neumann, Schnörr, C., and Steidl, G., “Effectively Finding the Optimal Wavelet for Hybrid Wavelet - Large Margin Signal Classification”, Dept. Math. and Comp. Science, University of Mannheim, Germany, 5, 2003.

L. Kiefer, Storath, M., and Weinmann, A., “An efficient algorithm for the piecewise affine-linear Mumford-Shah model based on a Taylor jet splitting”, IEEE Transactions on Image Processing, vol. 29, 2019.

Technical Report (2.04 MB)

M. Schmidt and Jähne, B., “Efficient and robust reduction of motion artifacts for 3D time-of-flight cameras”, in International Conference on 3D Imaging 2011, Liège, Belgium, 2011.

K. Rohr and Schnörr, C., “An Efficient Approach to the Identification of Characteristic Intensity Variations”, vol. 11, pp. 273–277, 1993.

J. Funke, Andres, B., Hamprecht, F. A., Cardona, A., and Cook, M., “Efficient Automatic 3D-Reconstruction of Branching Neurons from EM Data”, CVPR 2012. Proceedings, pp. 1004-1011, 2012.

Technical Report (1.64 MB)

A. Criminisi, Shotton, J., Blake, A., and Torr, P., “Efficient dense stereo and novel-view synthesis for gaze manipulation in one-to-one teleconferencing”, 2004.

A. Criminisi, Blake, A., Rother, C., Shotton, J., and Torr, P. H. S., “Efficient dense stereo with occlusions for new view-synthesis by four-state dynamic programming”, International Journal of Computer Vision, vol. 71, pp. 89–110, 2007.

S. Hader and Hamprecht, F. A., “Efficient Density Clustering”, Between Data Science and Applied Data Analysis. Springer, pp. 39-48, 2003.

M. Heiler, Cremers, D., and Schnörr, C., “Efficient Feature Subset Selection for Support Vector Machines”, Dept. Math. and Comp. Science, University of Mannheim, Germany, 21/2001, 2001.

T. Beier, Andres, B., Köthe, U., and Hamprecht, F. A., “An Efficient Fusion Move Algorithm for the Minimum Cost Lifted Multicut Problem”, ECCV. Proceedings, vol. LNCS 9906. Springer, pp. 715-730, 2016.

Technical Report (4.89 MB)

B. Savchynskyy, Schmidt, S., Kappes, J. H., and Schnörr, C., “Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing”, in UAI 2012, 2012.

Technical Report (529 KB)

B. Savchynskyy, Schmidt, S., Kappes, J. H., and Schnörr, C., “Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing”, UAI. Proceedings, pp. 746-755, 2012.

J. Neumann, Schnörr, C., and Steidl, G., “Efficient Wavelet Adaption for Hybrid Wavelet-Large Margin Classifiers”, Pattern Recognition, vol. 38, pp. 1815-1830, 2005.

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