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G

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)

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

B. Schmitzer and Schnörr, C., “Globally Optimal Joint Image Segmentation and Shape Matching based on Wasserstein Modes”. 2014.

Technical Report (2.9 MB)

B. Schmitzer and Schnörr, C., “Globally Optimal Joint Image Segmentation and Shape Matching based on Wasserstein Modes”, J.~Math.~Imag.~Vision, vol. 52, p. 436--458, 2015.

Technical Report (1.97 MB)

B. Schmitzer and Schnörr, C., “Globally Optimal Joint Image Segmentation and Shape Matching based on Wasserstein Modes”. 2014.

B. Schmitzer and Schnörr, C., “Globally Optimal Joint Image Segmentation and Shape Matching based on Wasserstein Modes”, J. Math. Imag. Vision, vol. 52, pp. 436–458, 2015.

L. Kostrykin, Schnörr, C., and Rohr, K., “Globally Optimal Segmentation of Cell Nuclei in Fluoroscence Microscopy Images using Shape and Intensity Information”, Medical Image Analysis, 2019.

J. Heers, Schnörr, C., and Stiehl, H. S., “Globally–Convergent Iterative Numerical Schemes for Non–Linear Variational Image Smoothing and Segmentation on a Multi–Processor Machine”, IEEE Trans. Image Proc., vol. 10, pp. 852–864, 2001.

C. Leue, Wenig, M., Jähne, B., and Platt, U., “GOME mißt atmosphärische Stickoxide. Globale Biomassenverbrennung und Industrieemissionen”, Physik in unserer Zeit, vol. 29, p. 179, 1998.

M. Wenig, “GOME-Spurenstoffauswertung und Bildverarbeitung”. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2001.

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.

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

T. Beier, “Graph based image analysis”, University of Heidelberg, 2014.

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.

A. Haja, “Graph-based Spatial Motion Tracking using Affine-covariant Regions”. IWR, Fakultät für Mathematik und Informatik, Univ.\ Heidelberg, 2008.

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.

M. Schiegg, Hanslovsky, P., Haubold, C., Köthe, U., Hufnagel, L., and Hamprecht, F. A., “Graphical Model for Joint Segmentation and Tracking of Multiple Dividing Cell”, Bioinformatics, vol. 31, no. 6, pp. 948-956, 2015.

Technical Report (534.29 KB)

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)

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. Nair, Meister, S., Lambers, M., Balda, M., Hofmann, H., Kolb, A., Kondermann, D., and Jähne, B., “Ground truth for evaluating time of flight imaging”, Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications, vol. 8200. Springer, p. 52--74, 2012.

L. Ardizzone, Lüth, C., Kruse, J., Rother, C., and Köthe, U., “Guided Image Generation with Conditional Invertible Neural Networks”, 2019.

L. Ardizzone, Lüth, C., Kruse, J., Rother, C., and Köthe, U., “Guided Image Generation with Conditional Invertible Neural Networks”, 2019.

B. Jähne, “Gut beleuchtet ist halb gemessen”, QZ, vol. 44, p. 1283--1288, 1999.

H

B. Jähne, Geißler, P., and Haußecker, H., Handbook of Computer Vision and Applications. Academic Press, 1999.

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.

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.

M. Jehle, “HCI's Parabolic Lighting Facility - Design and Usage”, Heidelberg Collaboratory for Image Processing, University of Heidelberg, 2011.

G. Balschbach, “HD-WHOI Measurements October 2004 CISG”, Institute for Environmental Physics, University of Heidelberg, 2004.

B. Jähne, Wais, T., Memery, L., Caulliez, G., Merlivat, L., Münnich, K. O., and Coantic, M., “He and Rn gas exchange experiments in the large wind-wave facility of IMST”, J. Geophys. Res., vol. 90, p. 11,989--11,998, 1985.

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.

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.

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, 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.

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.

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