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Conference Paper

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.

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.

P. Snoeij, Vogelzang, J., Calkoen, C. J., Oost, W. A., van Halsema, D., and Jähne, B., “A high resolution scatterometer for radar backscatter measurements of wind generated waves in wind/wave tanks”, in European Micro Wave Conference 1990, 1990.

C. Rhemann, Rother, C., Rav-Acha, A., and Sharp, T., “High resolution matting via interactive trimap segmentation”, in 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2008.

C. Rhemann, Rother, C., Rav-Acha, A., and Sharp, T., “High resolution matting via interactive trimap segmentation”, in 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2008.

C. Rhemann, Rother, C., Rav-Acha, A., and Sharp, T., “High resolution matting via interactive trimap segmentation”, in 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2008.

M. Schmidt, Zimmermann, K., and Jähne, B., “High frame rate for 3D time-of-flight cameras by dynamic sensor calibration”, in Proceedings IEEE International Conference on Computational Photography (ICCP), 2011, p. 1--8.

R. Nair, Lenzen, F., Meister, S., Schäfer, H., Garbe, C. S., and Kondermann, D., “High accuracy TOF and stereo sensor fusion at interactive rates”, in Computer Vision--ECCV 2012. Workshops and Demonstrations, 2012, p. 1--11.

Technical Report (7.29 MB)

R. Nair, Lenzen, F., Meister, S., Schäfer, H., Garbe, C. S., and Kondermann, D., “High accuracy TOF and stereo sensor fusion at interactive rates”, in Computer Vision–ECCV 2012. Workshops and Demonstrations, 2012, pp. 1–11.

R. Nair, Lenzen, F., Schäfer, H., Meister, S., Garbe, C. S., and Kondermann, D., “High Accuracy TOF and Stereo Sensor Fusion at Interactive Rates”, in submitted to ECCV 2012, 2012, vol. 7584, pp. 1-11.

J. Yarkony, Zhang, C., and Fowlkes, C. C., “Hierarchical Planar Correlation Clustering for Cell Segmentation”, in EMMCVPR. Proceedings, 2014, vol. 8932, pp. 492-504.

Technical Report (548.12 KB)

J. Keuchel, Heiler, M., and Schnörr, C., “Hierarchical Image Segmentation based on Semidefinite Programming”, in Pattern Recognition, Proc. 26th DAGM Symposium, 2004, vol. 3175, pp. 120-128.

B. Schmitzer and Schnörr, C., “A Hierarchical Approach to Optimal Transport”, in Scale Space and Variational Methods (SSVM 2013), 2013, pp. 452-464.

M. Diebold, Gatto, A., and Jähne, B., “Heterogeneous Light Fields”, in 2016 {IEEE} Conference on Computer Vision and Pattern Recognition, {CVPR} 2016, Las Vegas, NV, USA, June 27-30, 2016, 2016.

B. Jähne, Schimpf, U., Garbe, C. S., and Degreif, K., “The Heidelberg Aeolotron: new perspectives for laboratory investigations of small-scale air-sea interaction”, in Poster presented at: International Liege Colloquium on Ocean Dynamics, Gas Transfer at Water Surfaces, 2005.

B. Jähne, Haußecker, H., Schimpf, U., and Balschbach, G., “The Heidelberg Aeolotron - a new facility for laboratory investigations of small scale air-sea interaction”, in Poster presented at: The Wind-Driven Air-Sea Interface: Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes, 1999.

B. Jähne, Haußecker, H., Schimpf, U., and Balschbach, G., “The Heidelberg Aelotron --- a new facility for laboratory investigations of small-scale air-sea interaction”, in The Wind-Driven Air-Sea Interface: Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes, 1999.

H. Haußecker, Reinelt, S., Jähne, B., and Jähne, B., “Heat as a proxy tracer for gas exchange measurements in the field: principles and technical realization”, in Air--Water Gas Transfer: Selected Papers from the Third International Symposium on Air--Water Gas Transfer, 1995, p. 405--413.

K. Honauer, Maier-Hein, L., and Kondermann, D., “The HCI Stereo Metrics: Geometry-Aware Performance Analysis of Stereo Algorithms”, in The IEEE International Conference on Computer Vision (ICCV), 2015.

D. Kondermann, Nair, R., Honauer, K., Krispin, K., Andrulis, J., Brock, A., Güssefeld, B., Rahimimoghaddam, M., Hofmann, S., Brenner, C., and Jähne, B., “The HCI Benchmark Suite: Stereo and Flow Ground Truth With Uncertainties for Urban Autonomous Driving”, in The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2016.

R. Karim, Bergtholdt, M., Kappes, J. H., and Schnörr, C., “Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification”, in Pattern Recognition – 29th DAGM Symposium, 2007, vol. 4713, pp. 395-404.

R. Karim, Bergtholdt, M., Kappes, J. H., and Schnörr, C., “Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification”, in Pattern Recognition -- 29th DAGM Symposium, 2007, vol. 4713, pp. 395-404.

Technical Report (491.56 KB)

H. Abu Alhaija, Sellent, A., Kondermann, D., and Rother, C., “Graphflow—6D large displacement scene flow via graph matching”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015, vol. 9358, pp. 285–296.

S. Vicente, Kolmogorov, V., and Rother, C., “Graph cut based image segmentation with connectivity priors”, in 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2008.

M. Zisler, Savarino, F., Petra, S., and Schnörr, C., “Gradient Flows on a Riemannian Submanifold for Discrete Tomography”, in Proc. GCPR, 2017.

C. Rother, Kolmogorov, V., and Blake, A., “"GrabCut" - Interactive foreground extraction using iterated graph cuts”, in ACM Transactions on Graphics, 2004, vol. 23, pp. 309–314.

J. Hendrik Kappes, Speth, M., Andres, B., Reinelt, G., and Schnörr, C., “Globally Optimal Image Partitioning by Multicuts”, in EMMCVPR, 2011.

J. H. Kappes, Speth, M., Andres, B., Reinelt, G., and Schnörr, C., “Globally Optimal Image Partitioning by Multicuts”, in EMMCVPR, 2011.

Technical Report (7.47 MB)

J. H. Kappes, Speth, M., Andres, B., Reinelt, G., and Schnörr, C., “Globally Optimal Image Partitioning by Multicuts”, in EMMCVPR, 2011, pp. 31-44.

Technical Report (7.3 MB)

B. Andres, Kröger, T., Briggmann, K. L., Denk, W., Norogod, N., Knott, G. W., Köthe, U., and Hamprecht, F. A., “Globally Optimal Closed-Surface Segmentation for Connectomics”, in ECCV 2012. Proceedings, Part 3, 2012, pp. 778-791.

Technical Report (2.72 MB)

S. Wanner, Straehle, C. N., and Goldlücke, B., “Globally consistent multi-label assignment on the ray space of 4D light fields”, in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.

S. Wanner and Goldlücke, B., “Globally Consistent Depth Labeling of 4D Lightfields”, in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012.

S. Wanner and Goldlücke, B., “Globally Consistent Depth Labeling of 4D Light Fields”, in CVPR. Proceedings, 2012, pp. 41-48.

C. Schnörr, Stiehl, H. - S., and Grigat, R. - R., “On Globally Asymptotically Stable Continuous-Time CNNs for Adaptive Smoothing of Multidimensional Signals”, in Proc. 4th IEEE Int. Workshop on Cellular Neural Networks and their Applications, Seville, Spain, 1996.

K. He, Rhemann, C., Rother, C., Tang, X., and Sun, J., “A global sampling method for alpha matting”, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2011, pp. 2049–2056.

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