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Publications

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2014
E. Mesarchaki, Kräuter, C., Krall, K. Ellen, Bopp, M., Helleis, F., Williams, J., and Jähne, B., “Measuring air-sea gas exchange velocities in a large scale annular wind-wave tank”, Ocean Sci. Discuss., vol. 11, p. 1643--1689, 2014.
H. Schäfer, Lenzen, F., and Garbe, C. S., “Model based scattering correction in time-of-flight cameras”, Optics Express, vol. 22, pp. 29835-29846, 2014.
A. Monroy, Bell, P., and Ommer, B., “Morphological Analysis for Investigating Artistic Images”, Image and Vision Computing, vol. 32, p. 414--423, 2014.PDF icon Technical Report (2.86 MB)
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.
M. Wieler, “Multiple Instance Learning with Random Forests and Applications in Industrial Optical Inspection”. University of Heidelberg, 2014.
C. N. Straehle, Kandemir, M., Köthe, U., and Hamprecht, F. A., “Multiple instance learning with response-optimized random forests”, in ICPR. Proceedings, 2014, pp. 3768 - 3773.PDF icon Technical Report (296.66 KB)
M. Kandemir, Klami, A., Gonen, M., Vetek, A., and Kaski, S., “Multi-task and multi-view learning of user state”, Neurocomputing, vol. 139, pp. 97-106, 2014.
2013
B. Schmitzer and Schnörr, C., “Modelling convex shape priors and matching based on the Gromov-Wasserstein distance”, Journal of Mathematical Imaging and Vision, vol. 46, pp. 143-159, 2013.PDF icon Technical Report (957.78 KB)
B. Schmitzer and Schnörr, C., “Modelling convex shape priors and matching based on the Gromov-Wasserstein distance”, Journal of Mathematical Imaging and Vision, vol. 46, pp. 143-159, 2013.
A. Monroy, Bell, P., and Ommer, B., “A Morphometric Approach to Reception Analysis of Premodern Art”, in Scientific Computing & Cultural Heritage, 2013.PDF icon Technical Report (17.75 MB)
D. Kondermann and Becker, M., “Movie Dimensionalization Via Sparse User Annotations”, in submitted to ICCV, 2013.
M. Becker, Baron, M., Kondermann, D., Bussler, M., and Helzle, V., “Movie Dimensionalization Via Sparse User Annotations”, in submitted to 3DTV-Con, 2013.
2012
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.PDF icon Technical Report (7.31 MB)
P. Eger, “Messung der Luftströmung über kleinskaligen Wasserwellen mittels Particle Streak Velocimetry in einem linearen Wind-Wellen-Kanal”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2012.
M. Glas, “Methoden zur sechsdimensionalen Objektlageerkennung aus Tiefenbildern”, vol. Dissertation. IWR, Fakultät für Physik und Astronomie, Univ. Heidelberg, 2012.
M. Glas, “Methoden zur sechsdimensionalen Objektlageerkennung aus Tiefenbildern”. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2012.
2011
M. Lindner, “A Machine Learning Approach to Improve Digital Embryo Analysis”, University of Heidelberg, 2011.
D. Kiefhaber, Rocholz, R., Schaper, J., Balschbach, G., and Jähne, B., “Mean square slope measurements in the field with the reflective stereo slope gauge”, in EGU General Assembly, Vienna, 2011.
D. Kiefhaber, Rocholz, R., Balschbach, G., Schaper, J., and Jähne, B., “Measurement of ocean wave statistics with the reflective stereo slope gauge”, in DPG Frühjahrstagung Dresden, Fachverband Umweltphysik, 2011.
M. Bopp, “Messung der Schubspannungsgeschwindigkeit am Heidelberger Aeolotron mittels der Impulsbilanzmethode”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2011.
D. Breitenreicher and Schnörr, C., “Model-Based Multiple Rigid Object Detection and Registration in Unstructured Range Data”, Int.~J.~Comp.~Vision, vol. 92, p. 32--52, 2011.PDF icon Technical Report (4.3 MB)
D. Breitenreicher and Schnörr, C., “Model-Based Multiple Rigid Object Detection and Registration in Unstructured Range Data”, Int. J. Comp. Vision, vol. 92, pp. 32–52, 2011.
2010
D. Niegel, “Messung konvektionsgetriebener Transfergeschwindigkeit von Sauerstoff an der Luft-Wasser-Grenzfläche”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2010.
M. Kirchner, Steen, J. A. J., Hamprecht, F. A., and Steen, H., “MGFp: An Open Mascot Generic Format Parser Library Implementation”, Journal of Proteome Research, vol. 9 (5), p. 27622763, 2010.PDF icon Technical Report (125.18 KB)
C. Rother, Kohli, P., Feng, W., and Jia, J., “Minimizing sparse higher order energy functions of discrete variables”, 2010, pp. 1382–1389.
B. X. Kausler, “Modeling of Spectral Peaks for Mass-Spectrometry-based Proteomics”, Universities of Karlsruhe and Heidelberg, 2010.
J. H. Kappes, Schmidt, S., and Schnörr, C., “MRF Inference by k-Fan Decomposition and Tight Lagrangian Relaxation”, in European Conference on Computer Vision (ECCV), 2010, vol. 6313, p. 735--747.PDF icon Technical Report (1.49 MB)
J. H. Kappes, Schmidt, S., and Schnörr, C., “MRF Inference by k-Fan Decomposition and Tight Lagrangian Relaxation”, in European Conference on Computer Vision (ECCV), 2010, vol. 6313, p. 735--747.
J. H. Kappes, Schmidt, S., and Schnörr, C., “MRF Inference by k-Fan Decomposition and Tight Lagrangian Relaxation”, in European Conference on Computer Vision (ECCV), 2010, vol. 6313, pp. 735–747.
Z. Lin, Erz, M., and Jähne, B., “Multi-frequency multi-sampling fluorescence lifetime imaging using a high-speed line-scan camera”, in Optics, Photonics, and Digital Technologies for Multimedia Applications, 12--15 April 2010, Brussels, 2010, vol. 7723, p. 77231S.
B. H. Menze and Hamprecht, F. A., “Multimodal Medical Image Analysis: from Visualization to Disease Modeling”, Zeitschrift für Med. Physik, vol. 1, pp. 1-2, 2010.PDF icon Technical Report (481.58 KB)
2009
B. Jähne, “Methoden zur schnellen und genauen Messung der Gasaustauschrate im Aelotron mit Gasen niedriger und hoher Löslichkeit”, Forschungsgruppe Bildverarbeitung, Interdisziplinäres Zentrum für Wissenschaftliches Rechnen und Institut für Umweltphysik, Universität Heidelberg, 2009.
D. Kondermann, “Modular Optical Flow Estimation with Applications to Fluid Dynamics”. IWR, Fakultät für Mathematik und Informatik, Univ. Heidelberg, 2009.
D. Kondermann, “Modular Optical Flow Estimation with Applications to Fluid Dynamics”. IWR, Fakultät für Mathematik und Informatik, Univ.\ Heidelberg, 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.PDF icon Technical Report (3.18 MB)

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