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H. Spies and Barron, J. L., “Evaluating the range flow motion constraint.”, in ICPR, 2002, p. 517--.

C. Schellewald, Roth, S., and Schnörr, C., “Evaluation of a convex relaxation to a quadratic assignment matching approach for relational object views”, Image Vision Comp., vol. 25, p. 1301--1314, 2007.

Technical Report (439.9 KB)

C. Schellewald, Roth, S., and Schnörr, C., “Evaluation of a convex relaxation to a quadratic assignment matching approach for relational object views”, Image Vision Comp., vol. 25, pp. 1301–1314, 2007.

S. Schmidt, Savchynskyy, B., Kappes, J. Hendrik, and Schnörr, C., “Evaluation of a First-Order Primal-Dual Algorithm for MRF Energy Minimization”, in EMMCVPR, 2011, vol. 6819, pp. 89-103.

S. Schmidt, Savchynskyy, B., Kappes, J. H., and Schnörr, C., “Evaluation of a First-Order Primal-Dual Algorithm for MRF Energy Minimization”, in EMMCVPR 2011, 2011, vol. 6819, pp. 89-103.

S. Schmidt, Savchynskyy, B., Kappes, J. H., and Schnörr, C., “Evaluation of a First-Order Primal-Dual Algorithm for MRF Energy Minimization”, in EMMCVPR, 2011, vol. 6819, pp. 89-103.

Technical Report (684.13 KB)

B. Jähne and Jähne, B., “Evaluation of a two-scale model using extensive radar backscatter and wave measurements in a large wind-wave flume”, in Proceedings IGARSS '91, 1991, vol. 2, p. 885--888.

C. Schellewald, Roth, S., and Schnörr, C., “Evaluation of Convex Optimization Techniques for the Weighted Graph–Matching Problem in Computer Vision”, in Mustererkennung 2001, Munich, Germany, 2001, vol. 2191, pp. 361–368.

B. Michael Kelm, “Evaluation of Vector-Valued Clinical Image Data Using Probabilistic Graphical Models: Quantification and Pattern Recognition”. University of Heidelberg, 2007.

Technical Report (4.89 MB)

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.

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.

Paper (2 MB)

M. Kandemir, Agkül, A., Haußmann, M., and Ünal, G., “Evidential Turing Processes”. arXiv preprint, 2021.

L. Ardizzone, Mackowiak, R., Rother, C., and Köthe, U., “Exact Information Bottleneck with Invertible Neural Networks: Getting the Best of Discriminative and Generative Modeling”, 2020.

PDF (2.87 MB)

S. Haller, Swoboda, P., and Savchynskyy, B., “Exact MAP-Inference by Confining Combinatorial Search With LP Relaxation”, in Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018, 2018.

2018-02-02_aaai_dense_combilp.pdf (325.08 KB)

M. Schmidt, Erz, M., Zimmermann, K., and Jähne, B., “Exact modelling of time-of-flight cameras for optimal depth maps”, in International Conference on Computational Photography (ICCP) 2010, 2010.

B. Jähne, Schimpf, U., Popp, C., and Garbe, C. S., “Exchange processes at the ocean surface: their role in coupling atmosphere and ocean, a contribution to the SOLAS project”, in Verhandlungen der Deutschen Physikalischen Gesellschaft, Spring Conference, Munich, 22.-26.03.2004, 2004.

M. Desana and Schnörr, C., “Expectation Maximization for Sum-Product Networks as Exponential Family Mixture Models”. 2016.

A. Imle, Kumberger, P., Schnellbächer, N. D., Fehr, J., Carillo-Bustamente, P., Ales, J., Schmidt, P., Ritter, C., Godinez, W. J., Müller, B., Rohr, K., Hamprecht, F. A., Schwarz, U. S., Graw, F., and Fackler, O. T., “Experimental and computational analyses reveal that environmental restrictions shape HIV-1 spread in 3D cultures”, Nature Communications, vol. 13;10(1), 2019.

H. Rapp, “Experimental and Theoretical Investigation of Correlating TOF-Camera Systems”, IWR, Fakultät für Physik und Astronomie, Universität Heidelberg, 2007.

W. Mischler, Rocholz, R., and Jähne, B., “Experimental setup for the investigation of bubble mediated gas exchange”, in Gas Transfer at Water Surfaces 2010, 2011, p. 238--248.

E. Brachmann and Rother, C., “Expert sample consensus applied to camera re-localization”, in Proceedings of the IEEE International Conference on Computer Vision, 2019, vol. 2019-Octob, pp. 7524–7533.

V. Roth and Ommer, B., “Exploiting Low-level Image Segmentation for Object Recognition”, in Pattern Recognition, Symposium of the DAGM, 2006, vol. 4174, p. 11--20.

Technical Report (473.84 KB)

T. Kröger, “Exploratory and computational analysis of huge volume images for connectomics”, University of Heidelberg, 2010.

F. A. Hamprecht and Agrell, E., “Exploring a space of materials: spatial sampling design and subset selection”, Experimental Design for Combinatorial and High Throughput Materials Development. Wiley, 2003.

Technical Report (2.28 MB)

S. Petra, Popa, C., and Schnörr, C., “Extended and Constrained Cimmino-type Algorithms with Applications in Tomographic Image Reconstruction”, IWR, University of Heidelberg, 2008.

Technical Report (2.13 MB)

S. Petra, Popa, C., and Schnörr, C., “Extended and Constrained Cimmino-type Algorithms with Applications in Tomographic Image Reconstruction”, IWR, University of Heidelberg, 2008.

D. M. Kirchhöfer, Holst, G. A., Wouters, F. S., Hock, S., and Jähne, B., “Extended noise equalisation for image compression in microscopical applications”, tm - Technisches Messen, vol. 86, pp. 422–432, 2019.

E. Jenner, Fita, E., and Hamprecht, F. A., “Extensions of Karger's Algorithm: Why They Fail in Theory and How They Are Useful in Practice”, ICCV. Proceedings. pp. 4602-4611, 2021.

Technical Report (1.1 MB)

M. Bleyer, Rhemann, C., and Rother, C., “Extracting 3D scene-consistent object proposals and depth from stereo images”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, vol. 7576 LNCS, pp. 467–481.

M. Bleyer, Rhemann, C., and Rother, C., “Extracting 3D scene-consistent object proposals and depth from stereo images”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, vol. 7576 LNCS, pp. 467–481.

N. Kirchgeßner, “Extraktion physiologischer Koordinatensysteme von Pflanzenwurzeln und -blättern aus Bildsequenzen”. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2003.

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.

F

C. Bähnisch, Stelldinger, P., and Köthe, U., “Fast and Accurate 3D Edge Detection for Surface Reconstruction”, in Pattern Recognition, 2009, vol. 5748, pp. 111-120.

J. Lellmann, Breitenreicher, D., and Schnörr, C., “Fast and Exact Primal-Dual Iterations for Variational Problems in Computer Vision”, in European Conference on Computer Vision (ECCV), 2010, vol. 6312, p. 494--505.

Technical Report (1.94 MB)

J. Lellmann, Breitenreicher, D., and Schnörr, C., “Fast and Exact Primal-Dual Iterations for Variational Problems in Computer Vision”, in European Conference on Computer Vision (ECCV), 2010, vol. 6312, pp. 494–505.

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