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Publications

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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.
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”. IWR, 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.
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)
M. Becker, Baron, M., Kondermann, D., Bussler, M., and Helzle, V., “Movie Dimensionalization Via Sparse User Annotations”, in submitted to 3DTV-Con, 2013.
D. Kondermann and Becker, M., “Movie Dimensionalization Via Sparse User Annotations”, in submitted to ICCV, 2013.
2014
J. H. Kappes, Beier, T., and Schnörr, C., “MAP-Inference on Large Scale Higher-Order Discrete Graphical Models by Fusion Moves”, in Computer Vision - {ECCV} 2014 Workshops - Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part {II}, 2014.PDF icon Technical Report (557.49 KB)
J. Hendrik Kappes, Beier, T., and Schnörr, C., “MAP-Inference on Large Scale Higher-Order Discrete Graphical Models by Fusion Moves”, in International Workshop on Graphical Models in Computer Vision, 2014.
D. Kiefhaber, Zappa, C. J., and Jähne, B., “Measurement of wind waves statistics from specular reflections”, in Ocean Science Meeting, 23--28. 02. 2014, Honolulu Hawaii, 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.
2015
A. Kirillov, Schlesinger, D., Vetrov, D., Rother, C., and Savchynskyy, B., “M-best-diverse labelings for submodular energies and beyond”, in Advances in Neural Information Processing Systems, 2015, vol. 2015-Janua, pp. 613–621.
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., vol. 11, p. 121--138, 2015.
M. Schiegg, “Multi-Target Tracking with Probabilistic Graphical Models”. University of Heidelberg, 2015.
2016
D. L. Richmond, Kainmueller, D., Yang, M. Y., Myers, E. W., and Rother, C., “Mapping auto-context decision forests to deep convnets for semantic segmentation”, in British Machine Vision Conference 2016, BMVC 2016, 2016, vol. 2016-Septe, pp. 144.1–144.12.
D. L. Richmond, Kainmueller, D., Yang, M. Y., Myers, E. W., and Rother, C., “Mapping auto-context decision forests to deep convnets for semantic segmentation”, in British Machine Vision Conference 2016, BMVC 2016, 2016, vol. 2016-Septe, pp. 144.1–144.12.
D. L. Richmond, Kainmueller, D., Yang, M. Y., Myers, E. W., and Rother, C., “Mapping auto-context decision forests to deep convnets for semantic segmentation”, in British Machine Vision Conference 2016, BMVC 2016, 2016, vol. 2016-Septe, pp. 144.1–144.12.
T. M. D. Strouse, “Marijuana's Public Health Pros and Cons | For Better | US News”, U.S. News and World Report, 2016.
S. Lenor, “Model-Based Estimation of Meteorological Visibility in the Context of Automotive Camera Systems”, vol. Dissertation. IWR, Univ. Heidelberg, 2016.
J. Hendrik Kappes, Swoboda, P., Savchynskyy, B., Hazan, T., and Schnörr, C., “Multicuts and Perturb & MAP for Probabilistic Graph Clustering”, Journal of Mathematical Imaging and Vision, vol. 56, pp. 221–237, 2016.
J. H. Kappes, Swoboda, P., Savchynskyy, B., Hazan, T., and Schnörr, C., “Multicuts and Perturb & MAP for Probabilistic Graph Clustering”, J. Math. Imag. Vision, vol. 56, pp. 221–237, 2016.

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