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ORCIDChristoph Schnörr
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- affiliation: Heidelberg University, HCI, Germany
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2020 – today
- 2024
[c146]Felix Draxler, Stefan Wahl, Christoph Schnörr, Ullrich Köthe:
On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows. ICML 2024- [i47]Bastian Boll, Jonas Cassel, Peter Albers, Stefania Petra, Christoph Schnörr:
A Geometric Embedding Approach to Multiple Games and Multiple Populations. CoRR abs/2401.05918 (2024) - [i46]Felix Draxler, Stefan Wahl, Christoph Schnörr, Ullrich Köthe:
On the Universality of Coupling-based Normalizing Flows. CoRR abs/2402.06578 (2024) - [i45]Bastian Boll, Daniel Gonzalez-Alvarado, Christoph Schnörr:
Generative Modeling of Discrete Joint Distributions by E-Geodesic Flow Matching on Assignment Manifolds. CoRR abs/2402.07846 (2024) - [i44]Enrique Fita Sanmartín, Christoph Schnörr, Fred A. Hamprecht:
The Central Spanning Tree Problem. CoRR abs/2404.06447 (2024) - [i43]Bastian Boll, Daniel Gonzalez-Alvarado, Stefania Petra, Christoph Schnörr:
Generative Assignment Flows for Representing and Learning Joint Distributions of Discrete Data. CoRR abs/2406.04527 (2024) - [i42]Peter Sorrenson, Daniel Behrend-Uriarte, Christoph Schnörr, Ullrich Köthe:
Learning Distances from Data with Normalizing Flows and Score Matching. CoRR abs/2407.09297 (2024) - [i41]Jonas Cassel, Bastian Boll, Stefania Petra, Peter Albers, Christoph Schnörr:
Sigma Flows for Image and Data Labeling and Learning Structured Prediction. CoRR abs/2408.15946 (2024) - 2023
- [j89]Jonathan Schwarz, Jonas Cassel, Bastian Boll
, Martin Gärttner, Peter Albers, Christoph Schnörr:
Quantum State Assignment Flows. Entropy 25(9): 1253 (2023) - [j88]Alexander Zeilmann, Stefania Petra, Christoph Schnörr:
Learning Linearized Assignment Flows for Image Labeling. J. Math. Imaging Vis. 65(1): 164-184 (2023) - [j87]David Schnörr, Christoph Schnörr:
Learning system parameters from turing patterns. Mach. Learn. 112(9): 3151-3190 (2023) - [j86]Dmitrij Sitenko, Bastian Boll, Christoph Schnörr:
A Nonlocal Graph-PDE and Higher-Order Geometric Integration for Image Labeling. SIAM J. Imaging Sci. 16(1): 501-567 (2023) - [c145]Christian Homeyer, Christoph Schnörr:
On Moving Object Segmentation from Monocular Video with Transformers. ICCV (Workshops) 2023: 880-891 - [c144]Felix Draxler, Lars Kühmichel, Armand Rousselot, Jens Müller, Christoph Schnörr, Ullrich Köthe:
On the Convergence Rate of Gaussianization with Random Rotations. ICML 2023: 8449-8468 - [c143]Bastian Boll, Christoph Schnörr:
On Certified Generalization in Structured Prediction. NeurIPS 2023 - [c142]Max Kahl, Stefania Petra, Christoph Schnörr, Gabriele Steidl, Matthias Zisler:
On the Remarkable Efficiency of SMART. SSVM 2023: 418-430 - [c141]Bastian Boll, Jonathan Schwarz, Daniel Gonzalez-Alvarado, Dmitrij Sitenko, Stefania Petra, Christoph Schnörr:
Modeling Large-Scale Joint Distributions and Inference by Randomized Assignment. SSVM 2023: 730-742 - [c140]Jonathan Schwarz, Bastian Boll, Daniel Gonzalez-Alvarado, Dmitrij Sitenko, Martin Gärttner, Peter Albers, Christoph Schnörr:
Quantum State Assignment Flows. SSVM 2023: 743-756 - [i40]Bastian Boll, Christoph Schnörr:
On Certified Generalization in Structured Prediction. CoRR abs/2306.09112 (2023) - [i39]Felix Draxler, Lars Kühmichel, Armand Rousselot, Jens Müller, Christoph Schnörr, Ullrich Köthe:
On the Convergence Rate of Gaussianization with Random Rotations. CoRR abs/2306.13520 (2023) - [i38]Jonathan Schwarz, Jonas Cassel, Bastian Boll, Martin Gärttner, Peter Albers, Christoph Schnörr:
Quantum State Assignment Flows. CoRR abs/2307.00075 (2023) - 2022
- [c139]Christian Homeyer, Oliver Lange, Christoph Schnörr:
Multi-view Monocular Depth and Uncertainty Prediction with Deep SfM in Dynamic Environments. ICPRAI (1) 2022: 373-385 - [c138]Felix Draxler, Christoph Schnörr, Ullrich Köthe:
Whitening Convergence Rate of Coupling-based Normalizing Flows. NeurIPS 2022 - [i37]Christian Homeyer, Oliver Lange, Christoph Schnörr:
Multi-view Monocular Depth and Uncertainty Prediction with Deep SfM in Dynamic Environments. CoRR abs/2201.08633 (2022) - [i36]Bastian Boll, Alexander Zeilmann, Stefania Petra, Christoph Schnörr:
Self-Certifying Classification by Linearized Deep Assignment. CoRR abs/2201.11162 (2022) - [i35]Dmitrij Sitenko, Bastian Boll, Christoph Schnörr:
A Nonlocal Graph-PDE and Higher-Order Geometric Integration for Image Labeling. CoRR abs/2205.03991 (2022) - [i34]Felix Draxler, Christoph Schnörr, Ullrich Köthe:
Whitening Convergence Rate of Coupling-based Normalizing Flows. CoRR abs/2210.14032 (2022) - 2021
- [j85]Dmitrij Sitenko, Bastian Boll, Christoph Schnörr:
Assignment Flow for Order-Constrained OCT Segmentation. Int. J. Comput. Vis. 129(11): 3088-3118 (2021) - [j84]Ruben Hühnerbein, Fabrizio Savarino, Stefania Petra, Christoph Schnörr:
Learning Adaptive Regularization for Image Labeling Using Geometric Assignment. J. Math. Imaging Vis. 63(2): 186-215 (2021) - [c137]Daniel Gonzalez-Alvarado, Alexander Zeilmann, Christoph Schnörr:
Quantifying Uncertainty of Image Labelings Using Assignment Flows. GCPR 2021: 453-466 - [c136]Dmitrij Sitenko, Bastian Boll, Christoph Schnörr:
Assignment Flows and Nonlocal PDEs on Graphs. GCPR 2021: 498-512 - [c135]Bastian Boll, Jonathan Schwarz, Christoph Schnörr:
On the Correspondence Between Replicator Dynamics and Assignment Flows. SSVM 2021: 373-384 - [c134]Alexander Zeilmann, Stefania Petra, Christoph Schnörr:
Learning Linear Assignment Flows for Image Labeling via Exponential Integration. SSVM 2021: 385-397 - [c133]Fabrizio Savarino, Peter Albers, Christoph Schnörr:
On the Geometric Mechanics of Assignment Flows for Metric Data Labeling. SSVM 2021: 398-410 - [i33]Alexander Zeilmann, Stefania Petra, Christoph Schnörr:
Learning Linearized Assignment Flows for Image Labeling. CoRR abs/2108.02571 (2021) - [i32]David Schnörr, Christoph Schnörr:
Learning System Parameters from Turing Patterns. CoRR abs/2108.08542 (2021) - 2020
- [j83]Artjom Zern, Matthias Zisler, Stefania Petra, Christoph Schnörr:
Unsupervised Assignment Flow: Label Learning on Feature Manifolds by Spatially Regularized Geometric Assignment. J. Math. Imaging Vis. 62(6-7): 982-1006 (2020) - [j82]Mattia Desana, Christoph Schnörr:
Sum-product graphical models. Mach. Learn. 109(1): 135-173 (2020) - [j81]Matthias Zisler, Artjom Zern, Stefania Petra, Christoph Schnörr:
Self-Assignment Flows for Unsupervised Data Labeling on Graphs. SIAM J. Imaging Sci. 13(3): 1113-1156 (2020) - [c132]Felix Draxler, Jonathan Schwarz, Christoph Schnörr, Ullrich Köthe:
Characterizing the Role of a Single Coupling Layer in Affine Normalizing Flows. GCPR 2020: 1-14 - [c131]Dmitrij Sitenko, Bastian Boll, Christoph Schnörr:
Assignment Flow for Order-Constrained OCT Segmentation. GCPR 2020: 58-71 - [c130]Jonathan Schwarz, Felix Draxler, Ullrich Köthe, Christoph Schnörr:
Riemannian SOS-Polynomial Normalizing Flows. GCPR 2020: 218-231 - [i31]Artjom Zern, Alexander Zeilmann, Christoph Schnörr:
Assignment Flows for Data Labeling on Graphs: Convergence and Stability. CoRR abs/2002.11571 (2020) - [i30]Dmitrij Sitenko, Bastian Boll, Christoph Schnörr:
Assignment Flow for Order-Constrained OCT Segmentation. CoRR abs/2009.04632 (2020)
2010 – 2019
- 2019
- [j80]Fabian Rathke, Christoph Schnörr:
Fast multivariate log-concave density estimation. Comput. Stat. Data Anal. 140: 41-58 (2019) - [j79]Leonid Kostrykin, Christoph Schnörr, Karl Rohr:
Globally optimal segmentation of cell nuclei in fluorescence microscopy images using shape and intensity information. Medical Image Anal. 58 (2019) - [c129]Ruben Hühnerbein, Fabrizio Savarino, Stefania Petra, Christoph Schnörr:
Learning Adaptive Regularization for Image Labeling Using Geometric Assignment. SSVM 2019: 393-405 - [c128]Matthias Zisler, Artjom Zern, Stefania Petra, Christoph Schnörr:
Unsupervised Labeling by Geometric and Spatially Regularized Self-assignment. SSVM 2019: 432-444 - [c127]Fabrizio Savarino, Christoph Schnörr:
A Variational Perspective on the Assignment Flow. SSVM 2019: 547-558 - [i29]Artjom Zern, Matthias Zisler, Stefania Petra, Christoph Schnörr:
Unsupervised Assignment Flow: Label Learning on Feature Manifolds by Spatially Regularized Geometric Assignment. CoRR abs/1904.10863 (2019) - [i28]Nikolaos Gianniotis, Christoph Schnörr, Christian Molkenthin, Sanjay Singh Bora:
Approximate Variational Inference Based on a Finite Sample of Gaussian Latent Variables. CoRR abs/1906.04507 (2019) - [i27]Fabrizio Savarino, Christoph Schnörr:
Continuous-Domain Assignment Flows. CoRR abs/1910.07287 (2019) - [i26]Ruben Hühnerbein, Fabrizio Savarino, Stefania Petra, Christoph Schnörr:
Learning Adaptive Regularization for Image Labeling Using Geometric Assignment. CoRR abs/1910.09976 (2019) - [i25]Matthias Zisler, Artjom Zern, Stefania Petra, Christoph Schnörr:
Self-Assignment Flows for Unsupervised Data Labeling on Graphs. CoRR abs/1911.03472 (2019) - [i24]Yair Censor, Stefania Petra, Christoph Schnörr:
Superiorization vs. Accelerated Convex Optimization: The Superiorized/Regularized Least-Squares Case. CoRR abs/1911.05498 (2019) - 2018
- [j78]Ruben Hühnerbein, Fabrizio Savarino, Freddie Åström, Christoph Schnörr:
Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment. SIAM J. Imaging Sci. 11(2): 1317-1362 (2018) - [c126]Artjom Zern, Matthias Zisler, Freddie Åström, Stefania Petra, Christoph Schnörr:
Unsupervised Label Learning on Manifolds by Spatially Regularized Geometric Assignment. GCPR 2018: 698-713 - [c125]Leonid Kostrykin, Christoph Schnörr, Karl Rohr:
Segmentation of cell nuclei using intensity-based model fitting and sequential convex programming. ISBI 2018: 654-657 - 2017
- [j77]Freddie Åström, Christoph Schnörr:
A geometric approach for color image regularization. Comput. Vis. Image Underst. 165: 43-59 (2017) - [j76]Katsushi Ikeuchi, Christoph Schnörr, Josef Sivic, René Vidal:
Guest Editorial: Best Papers from ICCV 2015. Int. J. Comput. Vis. 125(1-3): 1-2 (2017) - [j75]Johannes Berger, Frank Lenzen, Florian Becker, Andreas Neufeld, Christoph Schnörr:
Second-Order Recursive Filtering on the Rigid-Motion Lie Group SE3 Based on Nonlinear Observations. J. Math. Imaging Vis. 58(1): 102-129 (2017) - [j74]Freddie Åström, Stefania Petra, Bernhard Schmitzer, Christoph Schnörr:
Image Labeling by Assignment. J. Math. Imaging Vis. 58(2): 211-238 (2017) - [c124]Ecaterina Bodnariuc, Stefania Petra, Christoph Schnörr, Jason D. Voorneveld:
A Local Spatio-Temporal Approach to Plane Wave Ultrasound Particle Image Velocimetry. GCPR 2017: 138-149 - [c123]Matthias Zisler, Fabrizio Savarino, Stefania Petra, Christoph Schnörr:
Gradient Flows on a Riemannian Submanifold for Discrete Tomography. GCPR 2017: 294-305 - [c122]Artjom Zern, Karl Rohr, Christoph Schnörr:
Geometric Image Labeling with Global Convex Labeling Constraints. EMMCVPR 2017: 533-547 - [c121]Peter Markowsky, Svenja Reith, Tabea E. Zuber, Rainer König, Karl Rohr, Christoph Schnörr:
Segmentation of cell structures using Model-Based Set Covering with iterative reweighting. ISBI 2017: 392-396 - [c120]Fabian Rathke, Mattia Desana, Christoph Schnörr:
Locally Adaptive Probabilistic Models for Global Segmentation of Pathological OCT Scans. MICCAI (1) 2017: 177-184 - [c119]Matthias Zisler, Freddie Åström, Stefania Petra, Christoph Schnörr:
Image Reconstruction by Multilabel Propagation. SSVM 2017: 247-259 - [c118]Fabrizio Savarino, Ruben Hühnerbein, Freddie Åström, Judit Recknagel, Christoph Schnörr:
Numerical Integration of Riemannian Gradient Flows for Image Labeling. SSVM 2017: 361-372 - [c117]Freddie Åström, Ruben Hühnerbein, Fabrizio Savarino, Judit Recknagel, Christoph Schnörr:
MAP Image Labeling Using Wasserstein Messages and Geometric Assignment. SSVM 2017: 373-385 - [c116]Robert Dalitz, Stefania Petra, Christoph Schnörr:
Compressed Motion Sensing. SSVM 2017: 602-613 - [i23]Mattia Desana, Christoph Schnörr:
Sum-Product Graphical Models. CoRR abs/1708.06438 (2017) - [i22]Ruben Hühnerbein, Fabrizio Savarino, Freddie Åström, Christoph Schnörr:
Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment. CoRR abs/1710.01493 (2017) - 2016
- [j73]Jörg Hendrik Kappes, Markus Speth, Gerhard Reinelt, Christoph Schnörr:
Higher-order segmentation via multicuts. Comput. Vis. Image Underst. 143: 104-119 (2016) - [j72]Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr:
Multicuts and Perturb & MAP for Probabilistic Graph Clustering. J. Math. Imaging Vis. 56(2): 221-237 (2016) - [j71]Nikolaos Gianniotis, Christoph Schnörr, Christian Molkenthin, Sanjay Singh Bora:
Approximate variational inference based on a finite sample of Gaussian latent variables. Pattern Anal. Appl. 19(2): 475-485 (2016) - [j70]Paul Swoboda, Alexander Shekhovtsov, Jörg Hendrik Kappes, Christoph Schnörr, Bogdan Savchynskyy:
Partial Optimality by Pruning for MAP-Inference with General Graphical Models. IEEE Trans. Pattern Anal. Mach. Intell. 38(7): 1370-1382 (2016) - [j69]Matthias Zisler, Jörg Hendrik Kappes, Claudius Schnörr, Stefania Petra, Christoph Schnörr:
Non-Binary Discrete Tomography by Continuous Non-Convex Optimization. IEEE Trans. Computational Imaging 2(3): 335-347 (2016) - [c115]Freddie Åström, Stefania Petra, Bernhard Schmitzer, Christoph Schnörr:
The Assignment Manifold: A Smooth Model for Image Labeling. CVPR Workshops 2016: 963-971 - [c114]Johannes Berger, Christoph Schnörr:
Joint Recursive Monocular Filtering of Camera Motion and Disparity Map. GCPR 2016: 233-244 - [c113]Matthias Zisler, Stefania Petra, Claudius Schnörr, Christoph Schnörr:
Discrete Tomography by Continuous Multilabeling Subject to Projection Constraints. GCPR 2016: 261-272 - [c112]Ecaterina Bodnariuc, Stefania Petra, Christian Poelma, Christoph Schnörr:
Parametric Dictionary-Based Velocimetry for Echo PIV. GCPR 2016: 332-343 - [c111]Freddie Åström, Stefania Petra, Bernhard Schmitzer, Christoph Schnörr:
A Geometric Approach to Image Labeling. ECCV (5) 2016: 139-154 - [c110]Freddie Åström, Christoph Schnörr:
Double-Opponent Vectorial Total Variation. ECCV (2) 2016: 644-659 - [i21]Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr:
Multicuts and Perturb & MAP for Probabilistic Graph Clustering. CoRR abs/1601.02088 (2016) - [i20]Freddie Åström, Stefania Petra, Bernhard Schmitzer, Christoph Schnörr:
Image Labeling by Assignment. CoRR abs/1603.05285 (2016) - [i19]Mattia Desana, Christoph Schnörr:
Expectation Maximization for Sum-Product Networks as Exponential Family Mixture Models. CoRR abs/1604.07243 (2016) - [i18]Freddie Åström, Christoph Schnörr:
A Geometric Approach to Color Image Regularization. CoRR abs/1605.05977 (2016) - [i17]Johannes Berger, Christoph Schnörr:
Joint Recursive Monocular Filtering of Camera Motion and Disparity Map. CoRR abs/1606.02092 (2016) - [i16]Francesco Silvestri, Gerhard Reinelt, Christoph Schnörr:
Symmetry-free SDP Relaxations for Affine Subspace Clustering. CoRR abs/1607.07387 (2016) - 2015
- [j68]Jörg H. Kappes, Björn Andres, Fred A. Hamprecht, Christoph Schnörr, Sebastian Nowozin, Dhruv Batra, Sungwoong Kim, Bernhard X. Kausler, Thorben Kröger, Jan Lellmann, Nikos Komodakis, Bogdan Savchynskyy, Carsten Rother:
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. Int. J. Comput. Vis. 115(2): 155-184 (2015) - [j67]Bernhard Schmitzer, Christoph Schnörr:
Globally Optimal Joint Image Segmentation and Shape Matching Based on Wasserstein Modes. J. Math. Imaging Vis. 52(3): 436-458 (2015) - [c109]Freddie Åström, Christoph Schnörr:
On coupled regularization for non-convex variational image enhancement. ACPR 2015: 786-790 - [c108]Andreas Neufeld, Johannes Berger, Florian Becker, Frank Lenzen, Christoph Schnörr:
Estimating Vehicle Ego-Motion and Piecewise Planar Scene Structure from Optical Flow in a Continuous Framework. GCPR 2015: 41-52 - [c107]Francesco Silvestri, Gerhard Reinelt, Christoph Schnörr:
A Convex Relaxation Approach to the Affine Subspace Clustering Problem. GCPR 2015: 67-78 - [c106]Jörg Hendrik Kappes, Stefania Petra, Christoph Schnörr, Matthias Zisler:
TomoGC: Binary Tomography by Constrained GraphCuts. GCPR 2015: 262-273 - [c105]Andreas Biesdorf, Stefan Wörz, Hendrik von Tengg-Kobligk, Karl Rohr, Christoph Schnörr:
3D segmentation of vessels by incremental implicit polynomial fitting and convex optimization. ISBI 2015: 1540-1543 - [c104]Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr:
Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts. SSVM 2015: 231-242 - [c103]Johannes Berger, Andreas Neufeld, Florian Becker, Frank Lenzen, Christoph Schnörr:
Second Order Minimum Energy Filtering on $${\text {SE}}_{3}$$ with Nonlinear Measurement Equations. SSVM 2015: 397-409 - [r1]Florian Becker, Stefania Petra, Christoph Schnörr:
Optical Flow. Handbook of Mathematical Methods in Imaging 2015: 1945-2004 - 2014
- [j66]Andreea Denitiu, Stefania Petra, Claudius Schnörr, Christoph Schnörr:
Phase Transitions and Cosparse Tomographic Recovery of Compound Solid Bodies from Few Projections. Fundam. Informaticae 135(1-2): 73-102 (2014) - [j65]Fabian Rathke, Stefan Schmidt, Christoph Schnörr:
Probabilistic intra-retinal layer segmentation in 3-D OCT images using global shape regularization. Medical Image Anal. 18(5): 781-794 (2014) - [j64]Frank Lenzen, Jan Lellmann, Florian Becker, Christoph Schnörr:
Solving Quasi-Variational Inequalities for Image Restoration with Adaptive Constraint Sets. SIAM J. Imaging Sci. 7(4): 2139-2174 (2014) - [c102]Paul Swoboda, Bogdan Savchynskyy, Jörg H. Kappes, Christoph Schnörr:
Partial Optimality by Pruning for MAP-Inference with General Graphical Models. CVPR 2014: 1170-1177 - [c101]Andreea Denitiu, Stefania Petra, Claudius Schnörr, Christoph Schnörr:
An Entropic Perturbation Approach to TV-Minimization for Limited-Data Tomography. DGCI 2014: 262-274 - [c100]Jörg Hendrik Kappes, Thorsten Beier, Christoph Schnörr:
MAP-Inference on Large Scale Higher-Order Discrete Graphical Models by Fusion Moves. ECCV Workshops (2) 2014: 469-484 - [c99]Ecaterina Bodnariuc, Arati Gurung, Stefania Petra, Christoph Schnörr:
Adaptive Dictionary-Based Spatio-temporal Flow Estimation for Echo PIV. EMMCVPR 2014: 378-391 - [i15]Fabian Rathke, Stefan Schmidt, Christoph Schnörr:
Probabilistic Intra-Retinal Layer Segmentation in 3-D OCT Images Using Global Shape Regularization. CoRR abs/1403.8003 (2014) - [i14]Jörg H. Kappes, Björn Andres, Fred A. Hamprecht, Christoph Schnörr, Sebastian Nowozin, Dhruv Batra, Sungwoong Kim, Bernhard X. Kausler, Thorben Kröger, Jan Lellmann, Nikos Komodakis, Bogdan Savchynskyy, Carsten Rother:
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. CoRR abs/1404.0533 (2014) - [i13]Frank Lenzen, Jan Lellmann, Florian Becker, Christoph Schnörr:
Solving QVIs for Image Restoration with Adaptive Constraint Sets. CoRR abs/1407.0921 (2014) - [i12]Bernhard Schmitzer, Christoph Schnörr:
Globally Optimal Joint Image Segmentation and Shape Matching based on Wasserstein Modes. CoRR abs/1407.3956 (2014) - [i11]Paul Swoboda, Alexander Shekhovtsov, Jörg Hendrik Kappes, Christoph Schnörr, Bogdan Savchynskyy:
Partial Optimality by Pruning for MAP-Inference with General Graphical Models. CoRR abs/1410.6641 (2014) - 2013
- [j63]Frank Lenzen, Florian Becker, Jan Lellmann, Stefania Petra, Christoph Schnörr:
A class of quasi-variational inequalities for adaptive image denoising and decomposition. Comput. Optim. Appl. 54(2): 371-398 (2013) - [j62]Stefania Petra, Christoph Schnörr, Andreas Schröder:
Critical Parameter Values and Reconstruction Properties of Discrete Tomography: Application to Experimental Fluid Dynamics. Fundam. Informaticae 125(3-4): 285-312 (2013) - [j61]Jan Lellmann, Björn Lellmann, Florian Widmann, Christoph Schnörr:
Discrete and Continuous Models for Partitioning Problems. Int. J. Comput. Vis. 104(3): 241-269 (2013) - [j60]Florian Becker, Frank Lenzen,