Publications

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A
B. Jähne, Air-Sea Gas Exchange, Encyclopedia of Ocean Sciences, vol. 6. Academic Press, pp. 1–13, 2019.
O. Hosseini Jafari, Groth, O., Kirillov, A., Yang, M. Ying, and Rother, C., Analyzing modular CNN architectures for joint depth prediction and semantic segmentation, in Proceedings - IEEE International Conference on Robotics and Automation, 2017, pp. 4620–4627.
B
P. Yarlagadda and Ommer, B., Beyond the Sum of Parts: Voting with Groups of Dependent Entities, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, p. 1134--1147, 2015.
C
S. Karthik Mustikovela, Yang, M. Ying, and Rother, C., Can ground truth label propagation from video help semantic segmentation?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2016, vol. 9915 LNCS, pp. 804–820.
C. Zhang, Yarkony, J., and Hamprecht, F. A., Cell detection and segmentation using correlation clustering, in MICCAI. Proceedings, 2014, pp. 9-16.PDF icon Technical Report (8.06 MB)
F. Kluger, Brachmann, E., Ackermann, H., Rother, C., Yang, M. Ying, and Rosenhahn, B., CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus, in CVPR 2020, 2020.PDF icon PDF (9.95 MB)
J. Yuan, Schnörr, C., and Steidl, G., Convex Hodge Decomposition and Regularization of Image Flows, J.~Math.~Imag.~Vision, vol. 33, pp. 169-177, 2009.PDF icon Technical Report (1003.75 KB)
J. Yuan, Steidl, G., and Schnörr, C., Convex Hodge Decomposition of Image Flows, in Pattern Recognition -- 30th DAGM Symposium, 2008, vol. 5096, p. 416--425.PDF icon Technical Report (290.72 KB)
J. Lellmann, Kappes, J. H., Yuan, J., Becker, F., and Schnörr, C., Convex Multi-Class Image Labeling by Simplex-Constrained Total Variation, IWR, University of Heidelberg, 2008.PDF icon Technical Report (2.6 MB)
J. Lellmann, Kappes, J. H., Yuan, J., Becker, F., and Schnörr, C., Convex Multi-Class Image Labeling by Simplex-Constrained Total Variation, in Scale Space and Variational Methods in Computer Vision (SSVM 2009), 2009, vol. 5567, pp. 150-162.PDF icon Technical Report (1.75 MB)
J. Lellmann, Kappes, J. H., Yuan, J., Becker, F., Schnörr, C., Mórken, K., and Lysaker, M., Convex Multi-Class Image Labeling by Simplex-Constrained Total Variation, in Scale Space and Variational Methods in Computer Vision (SSVM 2009), 2009, vol. 5567, pp. 150-162.
J. Yuan, Schnörr, C., Kohlberger, T., and Ruhnau, P., Convex Set-Based Estimation of Image Flows, in ICPR 2004 – 17th Int. Conf. on Pattern Recognition, Cambridge, UK, 2004, vol. 1, pp. 124-127.
D
B. Jähne, Data acquisition by imaging detectors, Handbook of Experimental Fluid Mechanics. Springer, p. 1419--1436, 2007.
B. Jähne, Klar, M., and Jehle, M., Data analysis, Handbook of Experimental Fluid Mechanics. Springer, p. 1437--1491, 2007.
S. Nowozin, Rother, C., Bagon, S., Sharp, T., Yao, B., and Kohli, P., Decision tree fields, in Proceedings of the IEEE International Conference on Computer Vision, 2011, pp. 1668–1675.
J. Yuan, Schnörr, C., and Mémin, E., Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation, J.~Math.~Imag.~Vision, vol. 28, pp. 67-80, 2007.PDF icon Technical Report (752.44 KB)
J. Yuan, Ruhnau, P., Mémin, E., and Schnörr, C., Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation, in Scale-Space 2005, 2005, vol. 3459, pp. 267–278.
F
P. Yarlagadda and Ommer, B., From Meaningful Contours to Discriminative Object Shape, in Proceedings of the European Conference on Computer Vision, 2012, vol. 7572, p. 766--779.PDF icon Technical Report (4.58 MB)
P
J. Yarkony, Beier, T., Baldi, P., and Hamprecht, F. A., Parallel Multicut Segmentation via Dual Decomposition, in 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, 2014.
F. Michel, Krull, A., Brachmann, E., Yang, M. Ying, Gumhold, S., and Rother, C., Pose Estimation of Kinematic Chain Instances via Object Coordinate Regression, 2015, pp. 181.1–181.11.
R
O. Hosseini Jafari and Yang, M. Ying, Real-time RGB-D based template matching pedestrian detection, in Proceedings - IEEE International Conference on Robotics and Automation, 2016, vol. 2016-June, pp. 5520–5527.
P. Yarlagadda, Monroy, A., Carque, B., and Ommer, B., Recognition and Analysis of Objects in Medieval Images, in Proceedins of the Aian Conference on Computer Vision, Workshop on e-Heritage, 2010, p. 296--305.PDF icon Technical Report (2.76 MB)

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