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Publications

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Author Title Type [ Year(Asc)]
2014
J. Welbl, “Casting Random Forests as Artificial Neural Networks (and Profiting from It)”, in GCPR. Proceedings, 2014, pp. 765-771.PDF icon Technical Report (376.24 KB)
C. Zhang, Yarkony, J., and Hamprecht, F. A., “Cell detection and segmentation using correlation clustering”, in MICCAI. Proceedings, 2014, pp. 9-16.PDF icon Technical Report (8.06 MB)
L. Nagel, Krall, K. Ellen, and Jähne, B., “Comparative heat and gas exchange measurements in the Heidelberg Aeolotron, a large annular wind-wave tank”, Ocean Sci. Discuss., vol. 11, p. 1691--1718, 2014.
J. H. Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., “A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems”, CoRR, 2014.
J. H. Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., “A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems”, CoRR, vol. abs/1404.0533, 2014.PDF icon Technical Report (3.32 MB)
M. Kandemir and Hamprecht, F. A., “Computer-aided diagnosis from weak supervision: A benchmarking study”, Computerized Medical Imaging and Graphics, vol. 42, pp. 44-50, 2014.PDF icon Technical Report (4.28 MB)
S. Meister, “On Creating Reference Data for Performance Analysis in Image Processing”. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2014.
S. Nicolas Ro Meister, “On Creating Reference Data for Performance Analysis in Image Processing”, vol. Dissertation. IWR, Fakultät für Physik und Astronomie, Univ. Heidelberg, 2014.
L. Maier-Hein, Mersmann, S., Kondermann, D., Stock, C., Kenngott, H., Sanchez, A., Wagner, M., Preukschas, A., Wekerle, A. - L., Helfert, S., Bodenstedt, S., and Speidel, S., “Crowdsourcing for reference correspondence generation in endoscopic images”, in MICCAI, 2014.
T. Beier, Kröger, T., Kappes, J. H., Köthe, U., and Hamprecht, F. A., “Cut, Glue and Cut: A Fast, Approximate Solver for Multicut Partitioning”, in 2014 {IEEE} Conference on Computer Vision and Pattern Recognition, {CVPR} 2014, Columbus, OH, USA, June 23-28, 2014, 2014.PDF icon Technical Report (10.06 MB)
S. Zheng, Cheng, M. Ming, Warrell, J., Sturgess, P., Vineet, V., Rother, C., and Torr, P. H. S., “Dense semantic image segmentation with objects and attributes”, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2014, pp. 3214–3221.
C. Decker and Hamprecht, F. A., “Detecting individual body parts improves mouse behavior classification”, in Workshop on visual observation and analysis of Vertebrate And Insect Behavior (VAIB), 22nd International Conference on Pattern Recognition (ICPR). Proceedings, 2014.PDF icon Technical Report (1.48 MB)
E. Eyjolfsdottir, Branson, S., Burgos-Artizzu, X. P., Hoopfer, E. D., Schor, J., Anderson, D. J., and Perona, P., “Detection of social actions in fruit flies”, Lecture Notes in Computer Science, vol. 8690, pp. 772–787, 2014.
M. Kandemir, Feuchtinger, A., Walch, A., and Hamprecht, F. A., “Digital Pathology: Multiple instance learning can detect Barrett'scancer”, ISBI. Proceedings. pp. 1348-1351, 2014.PDF icon Technical Report (2.86 MB)
M. Kandemir, Zhang, C., and Hamprecht, F. A., “Empowering multiple instance histopathology cancer diagnosis by cell graphs”, in MICCAI. Proceedings, 2014, vol. 8674, pp. 228-235.PDF icon Technical Report (1.76 MB)
A. Denitiu, Petra, S., Schnörr, C., and Schnörr, C., “An Entropic Perturbation Approach to TV-Minimization for Limited-Data Tomography”, in Discrete Geometry for Computer Imagery (DGCI) 2014, 2014, p. 262--274.PDF icon Technical Report (894.83 KB)
A. Denitiu, Petra, S., Schnörr, C., and Schnörr, C., “An Entropic Perturbation Approach to TV-Minimization for Limited-Data Tomography”, in Discrete Geometry for Computer Imagery (DGCI) 2014, 2014, pp. 262–274.
A. Rennebaum, “Entwicklung einer reflexionsbasierten Technik zur Messung statistischer Parameter von Windwellen auf der Wasseroberfläche im Labor und Feld”, Institut für Umweltphysik, Universität Heidelberg, Germany, 2014.
M. Kandemir, Rubio, J. C., Schmidt, U., Wojek, C., Welbl, J., Ommer, B., and Hamprecht, F. A., “Event Detection by Feature Unpredictability in Phase-Contrast Videos of Cell Cultures”, in Medical Image Computing and Computer-Assisted Intervention, 2014, p. 154--161.PDF icon Technical Report (2 MB)
M. Kandemir, Rubio, J. C., Schmidt, U., Welbl, J., Ommer, B., and Hamprecht, F. A., “Event Detection by Feature Unpredictability in Phase-Contrast Videos of Cell Cultures”, in MICCAI. Proceedings, 2014, pp. 154-161.PDF icon Paper (2 MB)
M. Knorr, Esparza, J., Niehsen, W., and Stiller, C., “Extrinsic calibration of a fisheye multi-camera setup using overlapping fields of view”, in Intelligent Vehicles Symposium Proceedings, 2014, p. 1276--1281.
K. Ellen Krall and Jähne, B., “First laboratory study of air-sea gas exchange at hurricane wind speeds”, Ocean Sci., vol. 10, p. 257--265, 2014.
B. Schmitzer and Schnörr, C., “Globally Optimal Joint Image Segmentation and Shape Matching based on Wasserstein Modes”. 2014.PDF icon Technical Report (2.9 MB)
B. Schmitzer and Schnörr, C., “Globally Optimal Joint Image Segmentation and Shape Matching based on Wasserstein Modes”. 2014.
T. Beier, “Graph based image analysis”, University of Heidelberg, 2014.
R. Lindner, Lou, X., Reinstein, J., Shoeman, R. L., Hamprecht, F. A., and Winkler, A., “Hexicon 2: Automated Processing of Hydrogen-Deuterium Exchange Mass Spectrometry Data with Improved Deuteration Distribution Estimation”, Journal of The American Society for Mass Spectrometry, vol. 25, pp. 1018-1028, 2014.PDF icon Technical Report (2.1 MB)
J. Yarkony, Zhang, C., and Fowlkes, C. C., “Hierarchical Planar Correlation Clustering for Cell Segmentation”, in EMMCVPR. Proceedings, 2014, vol. 8932, pp. 492-504.PDF icon Technical Report (548.12 KB)
C. Kräuter, Trofimova, D., Kiefhaber, D., Krah, N., and Jähne, B., “High resolution 2-D fluorescence imaging of the mass boundary layer thickness at free water surfaces”, J. Europ. Opt. Soc. Rap. Public., vol. 9, p. 14016, 2014.
M. Hornáček, Besse, F., Kautz, J., Fitzgibbon, A., and Rother, C., “Highly overparameterized optical flow using PatchMatch belief propagation”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, vol. 8691 LNCS, pp. 220–234.
C. Kräuter, Trofimova, D., Nagel, L., and Jähne, B., “High-resolution 2-D fluorescence imaging of gas transfer at a free water surface”, in Ocean Science Meeting, 23--28. 02. 2014, Honolulu Hawaii, 2014.
D. Kiefhaber, Reith, S., Rocholz, R., and Jähne, B., “High-speed imaging of short wind waves by shape from refraction”, J. Europ. Opt. Soc. Rap. Public., vol. 9, p. 14015, 2014.
J. Kleesiek, Biller, A., Urban, G., Köthe, U., Bendszus, M., and Hamprecht, F. A., “ilastik for Multi-modal Brain Tumor Segmentation”, in MICCAI BraTS (Brain Tumor Segmentation) Challenge. Proceedings, 3rdplace, 2014, pp. 12-17.PDF icon Technical Report (405.91 KB)
F. Blumenthal, “Information-Geometric Optimization for Image Segmentation”, University of Heidelberg, 2014.
M. Kandemir and Hamprecht, F. A., “Instance Label Prediction by Dirichlet Process Multiple Instance Learning”, in UAI. Proceedings, 2014.PDF icon Technical Report (4.26 MB)
C. N. Straehle, “Interactive Segmentation, Uncertainty and Learning”. University of Heidelberg, 2014.

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