Publications
] (2009). Convex Multi-Class Image Labeling by Simplex-Constrained Total Variation. Scale Space and Variational Methods in Computer Vision (SSVM 2009). Springer. 5567 150-162
(2009). Convex Optimization for Multi-Class Image Labeling with a Novel Family
of Total Variation Based Regularizers. Proceedings of the IEEE Conference on Computer Vision (ICCV 09) Kyoto, Japan. 646-653
(2009). Convex Optimization for Multi-Class Image Labeling with a Novel Family of Total Variation Based Regularizers. IEEE International Conference on Computer Vision (ICCV). 646 -- 653
Technical Report (930.18 KB)
Technical Report (930.18 KB) (2015). A Convex Relaxation Approach to the Affine Subspace Clustering Problem. Proc.~GCPR Technical Report (878.63 KB)
Technical Report (878.63 KB) (2001). Convex Relaxations for Binary Image Partitioning and Perceptual Grouping. Mustererkennung 2001. Springer. 2191 353--360
(2004). Convex Set-Based Estimation of Image Flows. ICPR 2004 -- 17th Int.~Conf.~on Pattern Recognition. IEEE. 1 124-127
(2013). Convex Variational Image Restoration with Histogram Priors. SIAM J.~Imag.~Sci. 6 1719-1735 Technical Report (553.54 KB)
Technical Report (553.54 KB) (1996). Convex Variational Segmentation of Multi-Channel Images. Proc. 12th Int. Conf. on Analysis and Optimization of Systems: Images, Wavelets and PDE's. Springer-Verlag. 219
(2009). Correlated speckle noise in white-light interferometry: theoretical analysis of measurement uncertainty. Appl. Optics. 48 525--538
(2017). Correlation Of Performance And Entropy In Active Learning With Convolutional Neural Networks. Heidelberg University
(2013). Correlative in vivo 2 photon and focused ion beam scanning electron microscopy of cortical neurons. PloS one. 8 (2) Technical Report (2.13 MB)
Technical Report (2.13 MB) (2017). Cost-efficient Gradient Boosting. NIPS, poster
(2016). Creating Feasible Reflectance Data for Synthetic Optical Flow Datasets. Advances in Visual Computing - 12th International Symposium, {ISVC} 2016, Las Vegas, NV, USA, December 12-14, 2016, Proceedings, Part {I}. http://dx.doi.org/10.1007/978-3-319-50835-1_8
(2013). On Creating Reference Data for Performance Analysis in Image Processing. University of Heidelberg
(2014). On Creating Reference Data for Performance Analysis in Image Processing. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg. http://www.ub.uni-heidelberg.de/archiv/16193
(2012). Critical Parameter Values and Reconstruction Properties of Discrete Tomography: Application to Experimental Fluid Dynamics. http://arxiv.org/abs/1209.4316
(2013). Critical Parameter Values and Reconstruction Propertiesof Discrete Tomography: Application to Experimental FluidDynamics. Fundamenta Informaticae. 125 285--312 Technical Report (1.42 MB)
Technical Report (1.42 MB) (1992). A critical theoretical review of optical techniques for short ocean wave measurements. Optics of the Air-Sea Interface: Theory and Measurements. 1749 204--215
(2018). Cross and Learn: Cross-Modal Self-Supervision. German Conference on Pattern Recognition (GCPR) (Oral). Stuttgart, Germany. https://arxiv.org/abs/1811.03879v1 Article (891.47 KB) Oral slides (9.17 MB)
Article (891.47 KB) Oral slides (9.17 MB) (2009). Cross-Correlation and Rotation Estimation of Local 3D Vector FieldPatches. Proceedings of the ISVC 2009, Part I. Springer. 5875 287-296
(2014). Cut, Glue and Cut: A Fast, Approximate Solver for Multicut Partitioning. 2014 {IEEE} Conference on Computer Vision and Pattern Recognition, {CVPR} 2014, Columbus, OH, USA, June 23-28, 2014. http://dx.doi.org/10.1109/CVPR.2014.17 Technical Report (10.06 MB)
Technical Report (10.06 MB) (2007). Data acquisition by imaging detectors. Handbook of Experimental Fluid Mechanics. Springer. 1419--1436
(2007). Data analysis. Handbook of Experimental Fluid Mechanics. Springer. 1437--1491
(2006). Data Mining auf multidimensionalen und komplexen Daten in der industriellen Bildverarbeitung. University of Heidelberg
(2016). A Dataset and Evaluation Methodology for Depth Estimation on 4D Light Fields. Computer Vision - ACCV 2016 : 13th Asian Conference on Computer Vision, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part III. Springer, Cham
(2013). Datasets and Benchmarks for Densely Sampled 4D Light Fields. Vision, Modeling & Visualization. 225--226
(1998). Datenbank Gestützte Verwaltung Kalibrierter Bildsequenzen Zur Qualitätsbewertung Von Algorithmen. Fakultät für Physik und Astronomie Universität Heidelberg
(2008). Decomposition of Quadratric Variational Problems. Pattern Recognition -- 30th DAGM Symposium. 5096 325--334
(2008). Decomposition of Quadratric Variational Problems. Pattern Recognition -- 30th DAGM Symposium. Springer Verlag. 5096 325--334 Technical Report (1.29 MB)
Technical Report (1.29 MB) (2019). Deep Active Learning with Adaptive Acquisition. IJCAI. Proceedings, in press
(2018). Deep End-To-End Learning Of A Diffusion Process For Seeded Image Segmentation. Heidelberg University
(2015). The Deep Feed-Forward Gaussian Process: An Effective Generalization to Covariance Priors. NIPS. Proceedings. 44 145-159 Supplementary Material (223.39 KB) Technical Report (2.58 MB)
Supplementary Material (223.39 KB) Technical Report (2.58 MB) (2016). Deep Learning For Bioimage Analysis. University of Heidelberg
(2016). Deep Learning For Diabetic Retinopathy Diagnostics. University of Heidelberg