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2021
A. Vijayan, Tofanelli, R., Strauss, S., Cerrone, L., Wolny, A., Strohmeier, J., Kreshuk, A., Hamprecht, F. A., Smith, R. S., and Schneitz, K., “A Digital 3D Reference Atlas Reveals Cellular Growth Patterns Shaping the Arabidopsis Ovule”, eLife, 2021.
L. M. Schütz, Louveaux, M., Vilches-Barro, A., Bouziri, S., Cerrone, L., Wolny, A., Kreshuk, A., Hamprecht, F. A., and Maizel, A., “Integration of Cell Growth and Asymmetric Division during Lateral Root Initiation in Arabidopsis thaliana”, Plant and Cell Physiology, vol. 62, no. 8, pp. 1269-1279, 2021.
2020
A. Wolny, Cerrone, L., Vijayan, A., Tofanelli, R., Vilches-Barro, A., Louveaux, M., Wenzel, C., Strauss, S., Wilson-Sanchez, D., Lymbouridou, R., Steigleder, S. S., Pape, C., Bailoni, A., Duran-Nebreda, S., Bassel, G. W., Lohmann, J. U., Tsiantis, M., Hamprecht, F. A., Schneitz, K., Maizel, A., and Kreshuk, A., “Accurate and Versatile 3D Segmentation of Plant Tissues at Cellular Resolution”, eLife, vol. 9, 2020.
A. Wolny, Cerrone, L., Vijayan, A., Tofanelli, R., Vilches-Barro, A., Louveaux, M., Wenzel, C., Strauss, S., Wilson-Sanchez, D., Lymbouridou, R., Steigleder, S. S., Pape, C., Bailoni, A., Duran-Nebreda, S., Bassel, G. W., Lohmann, J. U., Tsiantis, M., Hamprecht, F. A., Schneitz, K., Maizel, A., and Kreshuk, A., “Accurate and Versatile 3D Segmentation of Plant Tissues at Cellular Resolution”, eLife, vol. 9, 2020.
S. T. Radev, Mertens, U. K., Voss, A., Ardizzone, L., and Köthe, U., “BayesFlow: Learning complex stochastic models with invertible neural networks”, 2020.PDF icon PDF (5.36 MB)
B. Jähne, “What controls air-sea gas exchange at extreme wind speeds? Evidence from laboratory experiments”, Recent Advances in the Study of Oceanic Whitecaps. Springer, pp. 133–150, 2020.
2019
T. J. Adler, Ayala, L., Ardizzone, L., Kenngott, H. G., Vemuri, A., Müller-Stich, B. P., Rother, C., Köthe, U., and Maier-Hein, L., “Out of Distribution Detection for Intra-operative Functional Imaging”, in MICCAI UNSURE Workshop 2019, 2019, vol. 11840 LNCS, pp. 75–82.PDF icon PDF (3.1 MB)
P. Voigt, “Simulation and Measurement of the Water-sided Viscous Shear Stress without Waves”, Institut für Umweltphysik, Universität Heidelberg, Germany, 2019.
2018
T. Hodaň, Michel, F., Brachmann, E., Kehl, W., Buch, A. Glent, Kraft, D., Drost, B., Vidal, J., Ihrke, S., Zabulis, X., Sahin, C., Manhardt, F., Tombari, F., Kim, T. Kyun, Matas, J., and Rother, C., “BOP: Benchmark for 6D object pose estimation”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018, vol. 11214 LNCS, pp. 19–35.
F. Draxler, Veschgini, K., Salmhofer, M., and Hamprecht, F. A., “Essentially No Barriers in Neural Network Energy Landscape”, ICML. Proceedings, vol. 80. p. 1308--1317, 2018.PDF icon Technical Report (685.93 KB)
A. Vianello, Ackermann, J., Diebold, M., and Jähne, B., “Robust Hough transform based 3D reconstruction from circular light fields”, in Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
2017
A. Vianello, Manfredi, G., Diebold, M., and Jähne, B., “3D reconstruction by a combined structure tensor and Hough transform light field approach”, tm - Technisches Messen, 2017.
E. Bodnariuc, Petra, S., Schnörr, C., and Voorneveld, J., “A Local Spatio-Temporal Approach to Plane Wave Ultrasound Particle Image Velocimetry”, in Proc. GCPR, 2017.
A. Vianello, “Robust 3D Surface Reconstruction from Light Fields”, vol. Dissertation. IWR, Univ. Heidelberg, 2017.
N. von Schmude, “Visual Localization with Lines”, vol. Dissertation. IWR, Univ. Heidelberg, 2017.
2016
A. Vianello, Manfredi, G., Diebold, M., and Jähne, B., “3D Reconstruction by a Combined Structure Tensor and Hough Transform Light-Field Approach”, Forum Bildverarbeitung. 2016.
M. von Borstel, Kandemir, M., Schmidt, P., Rao, M., Rajamani, K., and Hamprecht, F. A., “Gaussian process density counting from weak supervision”, ECCV. Proceedings, vol. LNCS 9905. Springer, pp. 365-380 , 2016.PDF icon Technical Report (1.71 MB)
M. von Borstel, “Learning to Count from Weak Supervision”, University of Heidelberg, 2016.
N. von Schmude, Lothe, P., and Jähne, B., “Relative Pose Estimation from Straight Lines using Parallel Line Clustering and its Application to Monocular Visual Odometry”, in Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2016.
M. Kandemir, Haußmann, M., Diego, F., Rajamani, K., van der Laak, J., and Hamprecht, F. A., “Variational weakly-supervised Gaussian processes”, BMVC. Proceedings. 2016.PDF icon Technical Report (3.28 MB)
2015
A. Biesdorf, Wörz, S., von Tengg-Kobligk, H., Rohr, K., and Schnörr, C., “3D Segmentation of Vessels by Incremental Implicit Polynomial Fitting and Convex Optimization”, in Proc.~ISBI, 2015.PDF icon Technical Report (611.33 KB)
N. Krah, Testa, M., Brons, S., Jäkel, O., Parodi, K., Voss, B., and Rinaldi, I., “An advanced image processing method to improve the spatial resolution of ion radiographies”, Physics in Medicine and Biology, vol. 60, p. 8525, 2015.
A. Kirillov, Savchynskyy, B., Schlesinger, D., Vetrov, D., and Rother, C., “Inferring M-best diverse labelings in a single one”, in Proceedings of the IEEE International Conference on Computer Vision, 2015, vol. 2015 Inter, pp. 1814–1822.
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.
2014
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.
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.
F. Jug, Pietzsch, T., Kainmüller, D., Funke, J., Kaiser, M., van Nimwegen, E., Rother, C., and Myers, G., “Optimal joint segmentation and tracking of escherichia coli in the mother machine”, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8677, pp. 25–36, 2014.
J. Esparza, Vepa, L., Helmle, M., and Jähne, B., “Registration of a multi-camera system with a 3D laser range finder”, in 9th Workshop Driver Assistance Systems (FAS2014), 26.-28.03.2014, Walting, 2014, p. 37--46.
2013
V. Vineet, Rother, C., and Torr, P. H. S., “Higher order priors for joint intrinsic image, objects, and attributes estimation”, in Advances in Neural Information Processing Systems, 2013.
2012
B. Voss, Stapf, J., Berthe, A., and Garbe, C. S., “Bichromatic Particle Streak Velocimetry bPSV -- Interfacial, v3C3D velocimetry using a single camera”, Exp. Fluids, 2012.
B. Voss, “Novel Single Camera Techniques for 3D3C Lagrangian Trajectory Measurements in Interfacial Flows”. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2012.
C. S. Garbe, Voss, B., and Stapf, J., “Plenoptic Particle Streak Velocimetry (pPSV): 3D3C fluid flow measurement from light fields with a single plenoptic camera”, 16th International Symposium on Applications of Laser Techniques to Fluid Mechanics. Instituto Superior Técnico, pp. 1-12, 2012.
A. Mansfield, Gehler, P., Van Gool, L., and Rother, C., “Visibility maps for improving seam carving”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, vol. 6554 LNCS, pp. 131–144.
2011
S. Vicente, Rother, C., and Kolmogorov, V., “Object cosegmentation”, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2011, pp. 2217–2224.
M. Hanselmann, Voss, B., Renard, B. Y., Lindner, M., Köthe, U., Kirchner, M., and Hamprecht, F. A., “SIMA: Simultaneous Multiple Alignment of LC/MS Peak Lists”, Bioinformatics, vol. 27 (7), pp. 987-993, 2011.PDF icon Technical Report (2.2 MB)

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