Publications

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Author Title Type [ Year(Asc)]
2014
Yarkony, J, Zhang, C and Fowlkes, C C (2014). Hierarchical Planar Correlation Clustering for Cell Segmentation. EMMCVPR. Proceedings. Springer. 8932 492-504PDF icon Technical Report (548.12 KB)
Kräuter, C, Trofimova, D, Kiefhaber, D, Krah, N and Jähne, B (2014). High resolution 2-D fluorescence imaging of the mass boundary layer thickness at free water surfaces. J. Europ. Opt. Soc. Rap. Public. 9 14016
Hornáček, M, Besse, F, Kautz, J, Fitzgibbon, A and Rother, C (2014). Highly overparameterized optical flow using PatchMatch belief propagation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8691 LNCS 220–234
Kräuter, C, Trofimova, D, Nagel, L and Jähne, B (2014). High-resolution 2-D fluorescence imaging of gas transfer at a free water surface. Ocean Science Meeting, 23--28. 02. 2014, Honolulu Hawaii
Kiefhaber, D, Reith, S, Rocholz, R and Jähne, B (2014). High-speed imaging of short wind waves by shape from refraction. J. Europ. Opt. Soc. Rap. Public. 9 14015
Kleesiek, J, Biller, A, Urban, G, Köthe, U, Bendszus, M and Hamprecht, F A (2014). ilastik for Multi-modal Brain Tumor Segmentation. MICCAI BraTS (Brain Tumor Segmentation) Challenge. Proceedings, 3rdplace. 12-17PDF icon Technical Report (405.91 KB)
Blumenthal, F (2014). Information-Geometric Optimization For Image Segmentation. University of Heidelberg
Kandemir, M and Hamprecht, F A (2014). Instance Label Prediction by Dirichlet Process Multiple Instance Learning. UAI. ProceedingsPDF icon Technical Report (4.26 MB)
Straehle, C N (2014). Interactive Segmentation, Uncertainty and Learning. University of Heidelberg
Hoai, M, Torresani, L, De La Torre, F and Rother, C (2014). Learning discriminative localization from weakly labeled data. Pattern Recognition. 47 1523–1534
Antic, B and Ommer, B (2014). Learning Latent Constituents for Recognition of Group Activities in Video. Proceedings of the European Conference on Computer Vision (ECCV) (Oral). Springer. 33--47PDF icon Technical Report (4.54 MB)
Kröger, (2014). Learning-based Segmentation for Connectomics. University of Heidelberg
Bopp, M (2014). Luft- Und Wasserseitige Strömungsverhältnisse Im Ringförmigen Heidelberger Wind-Wellen-Kanal (Aeolotron). Institut für Umweltphysik, Universität Heidelberg, Germany. http://www.ub.uni-heidelberg.de/archiv/17151
Bopp, M (2014). Luft- Und Wasserseitige Strömungsverhältnisse Im Ringförmigen Heidelberger Wind-Wellen-Kanal (Aeolotron). Institut für Umweltphysik, Universität Heidelberg, Germany
Kappes, J H, Beier, T and Schnörr, C (2014). MAP-Inference on Large Scale Higher-Order Discrete Graphical Models by Fusion Moves. Computer Vision - {ECCV} 2014 Workshops - Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part {II}. http://dx.doi.org/10.1007/978-3-319-16181-5_37PDF icon Technical Report (557.49 KB)
Kappes, J Hendrik, Beier, T and Schnörr, C (2014). MAP-Inference on Large Scale Higher-Order Discrete Graphical Models by Fusion Moves. International Workshop on Graphical Models in Computer Vision
Kiefhaber, D, Zappa, C J and Jähne, B (2014). Measurement of wind waves statistics from specular reflections. Ocean Science Meeting, 23--28. 02. 2014, Honolulu Hawaii
Mesarchaki, E, Kräuter, C, Krall, K Ellen, Bopp, M, Helleis, F, Williams, J and Jähne, B (2014). Measuring air-sea gas exchange velocities in a large scale annular wind-wave tank. Ocean Sci. Discuss. 11 1643--1689
Schäfer, H, Lenzen, F and Garbe, C S (2014). Model based scattering correction in time-of-flight cameras. Optics Express. 22 29835-29846
Monroy, A, Bell, P and Ommer, B (2014). Morphological Analysis for Investigating Artistic Images. Image and Vision Computing. Elsevier. 32 414--423PDF icon Technical Report (2.86 MB)
Urban, G, Bendszus, M, Hamprecht, F A and Kleesiek, J (2014). Multi-modal Brain Tumor Segmentation using Deep Convolutional NeuralNetworks. MICCAI BraTS (Brain Tumor Segmentation) Challenge. Proceedings, winningcontribution. 31-35
Wieler, M (2014). Multiple Instance Learning with Random Forests and Applications in Industrial Optical Inspection. University of Heidelberg
Straehle, C N, Kandemir, M, Köthe, U and Hamprecht, F A (2014). Multiple instance learning with response-optimized random forests. ICPR. Proceedings. 3768 - 3773PDF icon Technical Report (296.66 KB)
Kandemir, M, Klami, A, Gonen, M, Vetek, A and Kaski, S (2014). Multi-task and multi-view learning of user state. Neurocomputing. 139 97-106
Urban, G (2014). Neural Networks: Optimization And Applications. University of Heidelberg
Márquez-Neila, P, Kohli, P, Rother, C and Baumela, L (2014). Non-parametric higher-order random fields for image segmentation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8694 LNCS 269–284
Takami, M, Bell, P and Ommer, B (2014). Offline Learning of Prototypical Negatives for Efficient Online Exemplar SVM. Winter Conference on Applications of Computer Vision. IEEE. 377--384. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6836075
Becker, F, Petra, S and Schnörr, C (2014). Optical Flow. Handbook of Mathematical Methods in Imaging. Springer
Kiefhaber, D (2014). Optical Measurement of Short Wind Waves --- from the Laboratory to the Field. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg. Dissertation. http://www.ub.uni-heidelberg.de/archiv/16304
Jug, F, Pietzsch, T, Kainmüller, D, Funke, J, Kaiser, M, van Nimwegen, E, Rother, C and Myers, G (2014). 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). 8677 25–36
Wanner, S (2014). Orientation Analysis in 4D Light Fields. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg. http://www.ub.uni-heidelberg.de/archiv/16439
Wanner, S (2014). Orientation Analysis in 4D Light Fields. IWR, Univ. Heidelberg. Dissertation
Yarkony, J, Beier, T, Baldi, P and Hamprecht, F A (2014). Parallel Multicut Segmentation via Dual Decomposition. New Frontiers in Mining Complex Patterns - Third International Workshop, {NFMCP} 2014, Held in Conjunction with {ECML-PKDD} 2014, Nancy, France, September 19, 2014, Revised Selected Papers. http://dx.doi.org/10.1007/978-3-319-17876-9_4
Swoboda, P, Savchynskyy, B, Kappes, J H and Schnörr, C (2014). Partial Optimality by Pruning for MAP-inference with General Graphical Models. IEEE Conference on Computer Vision and Pattern Recognition 2014PDF icon Technical Report (703.34 KB)
Swoboda, P, Savchynskyy, B, Kappes, J H and Schnörr, C (2014). Partial Optimality by Pruning for MAP-inference with General Graphical Models. IEEE Conference on Computer Vision and Pattern Recognition 2014

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