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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- [i50]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) - [i49]Felix Draxler, Stefan Wahl, Christoph Schnörr, Ullrich Köthe:
On the Universality of Coupling-based Normalizing Flows. CoRR abs/2402.06578 (2024) - [i48]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) - [i47]Enrique Fita Sanmartín, Christoph Schnörr, Fred A. Hamprecht:
The Central Spanning Tree Problem. CoRR abs/2404.06447 (2024) - [i46]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) - [i45]Peter Sorrenson, Daniel Behrend-Uriarte, Christoph Schnörr, Ullrich Köthe:
Learning Distances from Data with Normalizing Flows and Score Matching. CoRR abs/2407.09297 (2024) - [i44]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) - [i43]Enrique Fita Sanmartín, Christoph Schnörr, Fred A. Hamprecht:
Expectation and Variance of the Degree of a Node in Random Spanning Trees. CoRR abs/2409.13472 (2024) - [i42]Christian Homeyer, Leon Begiristain, Christoph Schnörr:
DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting. CoRR abs/2411.17660 (2024) - [i41]Christian Homeyer, Christoph Schnörr:
On Moving Object Segmentation from Monocular Video with Transformers. CoRR abs/2411.19141 (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, Jörg H. Kappes, Christoph Schnörr:
Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences. Int. J. Comput. Vis. 105(3): 269-297 (2013) - [j59]Bernhard Schmitzer, Christoph Schnörr:
Modelling Convex Shape Priors and Matching Based on the Gromov-Wasserstein Distance. J. Math. Imaging Vis. 46(1): 143-159 (2013) - [j58]Bart M. ter Haar Romeny, Christoph Schnörr:
Guest Editorial: Scale-Space and Variational Methods. J. Math. Imaging Vis. 46(3): 275 (2013) - [j57]Antonin Chambolle, Michael Hintermüller, Thomas Pock, Christoph Schnörr, Gabriele Steidl:
Guest Editorial: Variational Models, Convex Analysis and Numerical Optimization in Mathematical Imaging. J. Math. Imaging Vis. 47(3): 165-166 (2013) - [j56]Jan Lellmann, Frank Lenzen, Christoph Schnörr:
Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem. J. Math. Imaging Vis. 47(3): 239-257 (2013) - [j55]Dirk Breitenreicher, Jan Lellmann, Christoph Schnörr:
COAL: a generic modelling and prototyping framework for convex optimization problems of variational image analysis. Optim. Methods Softw. 28(5): 1081-1094 (2013) - [j54]Paul Swoboda, Christoph Schnörr:
Convex Variational Image Restoration with Histogram Priors. SIAM J. Imaging Sci. 6(3): 1719-1735 (2013) - [c98]Jörg H. Kappes, Björn Andres, Fred A. Hamprecht, Christoph Schnörr, Sebastian Nowozin, Dhruv Batra, Sungwoong Kim, Bernhard X. Kausler, Jan Lellmann, Nikos Komodakis, Carsten Rother:
A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems. CVPR 2013: 1328-1335 - [c97]Jörg Hendrik Kappes, Markus Speth, Gerhard Reinelt, Christoph Schnörr:
Towards Efficient and Exact MAP-Inference for Large Scale Discrete Computer Vision Problems via Combinatorial Optimization. CVPR 2013: 1752-1758 - [c96]Bernhard Schmitzer, Christoph Schnörr:
Object Segmentation by Shape Matching with Wasserstein Modes. EMMCVPR 2013: 123-136 - [c95]Paul Swoboda, Christoph Schnörr:
Variational Image Segmentation and Cosegmentation with the Wasserstein Distance. EMMCVPR 2013: 321-334 - [c94]Bogdan Savchynskyy, Jörg Hendrik Kappes, Paul Swoboda, Christoph Schnörr:
Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation. NIPS 2013: 1950-1958 - [c93]Stefania Petra, Christoph Schnörr, Florian Becker, Frank Lenzen:
B-SMART: Bregman-Based First-Order Algorithms for Non-negative Compressed Sensing Problems. SSVM 2013: 110-124 - [c92]Bernhard Schmitzer, Christoph Schnörr:
A Hierarchical Approach to Optimal Transport. SSVM 2013: 452-464 - [c91]Paul Swoboda, Bogdan Savchynskyy, Jörg H. Kappes, Christoph Schnörr:
Partial Optimality via Iterative Pruning for the Potts Model. SSVM 2013: 477-488 - [i10]Paul Swoboda, Christoph Schnörr:
Convex Variational Image Restoration with Histogram Priors. CoRR abs/1301.3683 (2013) - [i9]Jörg Hendrik Kappes, Markus Speth, Gerhard Reinelt, Christoph Schnörr:
Higher-order Segmentation via Multicuts. CoRR abs/1305.6387 (2013) - [i8]Bernhard Schmitzer, Christoph Schnörr:
Contour Manifolds and Optimal Transport. CoRR abs/1309.2240 (2013) - [i7]Andreea Denitiu, Stefania Petra, Claudius Schnörr, Christoph Schnörr:
Phase Transitions and Cosparse Tomographic Recovery of Compound Solid Bodies from Few Projections. CoRR abs/1311.0423 (2013) - [i6]Eva-Maria Didden, Thordis Linda Thorarinsdottir, Alex Lenkoski, Christoph Schnörr:
Shape from Texture using Locally Scaled Point Processes. CoRR abs/1311.7401 (2013) - 2012
- [j53]Aurelian Nicola, Stefania Petra, Constantin Popa, Christoph Schnörr:
A general extending and constraining procedure for linear iterative methods. Int. J. Comput. Math. 89(2): 231-253 (2012) - [j52]Florian Becker, Bernhard Wieneke, Stefania Petra, Andreas Schröder, Christoph Schnörr:
Variational Adaptive Correlation Method for Flow Estimation. IEEE Trans. Image Process. 21(6): 3053-3065 (2012) - [j51]Florian Becker, Bernhard Wieneke, Stefania Petra, Andreas Schröder, Christoph Schnörr:
Corrections to "Variational Adaptive Correlation Method for Flow Estimation". IEEE Trans. Image Process. 21(8): 3813-3814 (2012) - [c90]Jörg Hendrik Kappes, Bogdan Savchynskyy, Christoph Schnörr:
A bundle approach to efficient MAP-inference by Lagrangian relaxation. CVPR 2012: 1688-1695 - [c89]Bogdan Savchynskyy, Stefan Schmidt, Jörg H. Kappes, Christoph Schnörr:
Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing. UAI 2012: 746-755 - [i5]Stefania Petra, Christoph Schnörr:
Average Case Recovery Analysis of Tomographic Compressive Sensing. CoRR abs/1208.5894 (2012) - [i4]Stefania Petra, Christoph Schnörr, Andreas Schröder:
Critical Parameter Values and Reconstruction Properties of Discrete Tomography: Application to Experimental Fluid Dynamics. CoRR abs/1209.4316 (2012) - [i3]Bogdan Savchynskyy, Stefan Schmidt, Jörg Hendrik Kappes, Christoph Schnörr:
Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing. CoRR abs/1210.4906 (2012) - 2011
- [j50]Dirk Breitenreicher, Jan Lellmann, Christoph Schnörr:
Sparse Template-Based variational Image Segmentation. Adv. Data Sci. Adapt. Anal. 3(1-2): 149-166 (2011) - [j49]Dirk Breitenreicher, Christoph Schnörr:
Model-Based Multiple Rigid Object Detection and Registration in Unstructured Range Data. Int. J. Comput. Vis. 92(1): 32-52 (2011) - [j48]Jan Lellmann, Christoph Schnörr:
Continuous Multiclass Labeling Approaches and Algorithms. SIAM J. Imaging Sci. 4(4): 1049-1096 (2011) - [j47]Christoph Gustav Keller, Markus Enzweiler, Marcus Rohrbach, David Fernández Llorca, Christoph Schnörr, Dariu M. Gavrila:
The Benefits of Dense Stereo for Pedestrian Detection. IEEE Trans. Intell. Transp. Syst. 12(4): 1096-1106 (2011) - [c88]Bogdan Savchynskyy, Jörg H. Kappes, Stefan Schmidt, Christoph Schnörr:
A study of Nesterov's scheme for Lagrangian decomposition and MAP labeling. CVPR 2011: 1817-1823 - [c87]Jörg H. Kappes, Markus Speth, Björn Andres, Gerhard Reinelt, Christoph Schnörr:
Globally Optimal Image Partitioning by Multicuts. EMMCVPR 2011: 31-44 - [c86]Stefan Schmidt, Bogdan Savchynskyy, Jörg H. Kappes, Christoph Schnörr:
Evaluation of a First-Order Primal-Dual Algorithm for MRF Energy Minimization. EMMCVPR 2011: 89-103 - [c85]Jan Lellmann, Frank Lenzen, Christoph Schnörr:
Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem. EMMCVPR 2011: 132-146 - [c84]Florian Becker, Frank Lenzen, Jörg H. Kappes, Christoph Schnörr:
Variational recursive joint estimation of dense scene structure and camera motion from monocular high speed traffic sequences. ICCV 2011: 1692-1699 - [c83]Fabian Rathke, Stefan Schmidt, Christoph Schnörr:
Order Preserving and Shape Prior Constrained Intra-retinal Layer Segmentation in Optical Coherence Tomography. MICCAI (3) 2011: 370-377 - [c82]Frank Lenzen, Florian Becker, Jan Lellmann, Stefania Petra, Christoph Schnörr:
Variational Image Denoising with Adaptive Constraint Sets. SSVM 2011: 206-217 - [c81]Bernhard Schmitzer, Christoph Schnörr:
Weakly Convex Coupling Continuous Cuts and Shape Priors. SSVM 2011: 423-434 - [i2]Jan Lellmann, Christoph Schnörr:
Continuous Multiclass Labeling Approaches and Algorithms. CoRR abs/1102.5448 (2011) - [i1]Jan Lellmann, Frank Lenzen, Christoph Schnörr:
Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem. CoRR abs/1112.0974 (2011) - 2010
- [j46]Martin Bergtholdt, Jörg H. Kappes, Stefan Schmidt, Christoph Schnörr:
A Study of Parts-Based Object Class Detection Using Complete Graphs. Int. J. Comput. Vis. 87(1-2): 93-117 (2010) - [j45]Dirk Breitenreicher, Christoph Schnörr:
Robust 3D object registration without explicit correspondence using geometric integration. Mach. Vis. Appl. 21(5): 601-611 (2010) - [j44]Andrey Vlasenko, Christoph Schnörr:
Physically Consistent and Efficient Variational Denoising of Image Fluid Flow Estimates. IEEE Trans. Image Process. 19(3): 586-595 (2010) - [c80]Björn Andres, Jörg H. Kappes, Ullrich Köthe, Christoph Schnörr, Fred A. Hamprecht:
An Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM. DAGM-Symposium 2010: 353-362 - [c79]Jan Lellmann, Dirk Breitenreicher, Christoph Schnörr:
Fast and Exact Primal-Dual Iterations for Variational Problems in Computer Vision. ECCV (2) 2010: 494-505 - [c78]Jörg H. Kappes, Stefan Schmidt, Christoph Schnörr:
MRF Inference by k-Fan Decomposition and Tight Lagrangian Relaxation. ECCV (3) 2010: 735-747
2000 – 2009
- 2009
- [j43]Jing Yuan, Christoph Schnörr, Gabriele Steidl:
Convex Hodge Decomposition and Regularization of Image Flows. J. Math. Imaging Vis. 33(2): 169-177 (2009) - [c77]Andrey Vlasenko, Christoph Schnörr:
Superresolution and Denoising of 3D Fluid Flow Estimates. DAGM-Symposium 2009: 482-491 - [c76]Dirk Breitenreicher, Christoph Schnörr:
Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration without Correspondence. EMMCVPR 2009: 274-287 - [c75]Jan Lellmann, Florian Becker, Christoph Schnörr:
Convex optimization for multi-class image labeling with a novel family of total variation based regularizers. ICCV 2009: 646-653 - [c74]Fabien Lauer, Christoph Schnörr:
Spectral clustering of linear subspaces for motion segmentation. ICCV 2009: 678-685 - [c73]Jan Lellmann, Jörg H. Kappes, Jing Yuan, Florian Becker, Christoph Schnörr:
Convex Multi-class Image Labeling by Simplex-Constrained Total Variation. SSVM 2009: 150-162 - [c72]Jing Yuan, Christoph Schnörr, Gabriele Steidl:
Total-Variation Based Piecewise Affine Regularization. SSVM 2009: 552-564 - 2008
- [j42]Stefan Munder, Christoph Schnörr, Dariu M. Gavrila:
Pedestrian Detection and Tracking Using a Mixture of View-Based Shape-Texture Models. IEEE Trans. Intell. Transp. Syst. 9(2): 333-343 (2008) - [c71]Jörg H. Kappes, Christoph Schnörr:
MAP-Inference for Highly-Connected Graphs with DC-Programming. DAGM-Symposium 2008: 1-10 - [c70]Stefania Petra, Andreas Schröder, Bernhard Wieneke, Christoph Schnörr:
On Sparsity Maximization in Tomographic Particle Image Reconstruction. DAGM-Symposium 2008: 294-303 - [c69]Florian Becker, Christoph Schnörr:
Decomposition of Quadratic Variational Problems. DAGM-Symposium 2008: 325-334 - [c68]Florian Becker, Bernhard Wieneke, Jing Yuan, Christoph Schnörr:
A Variational Approach to Adaptive Correlation for Motion Estimation in Particle Image Velocimetry. DAGM-Symposium 2008: 335-344 - [c67]Andrey Vlasenko, Christoph Schnörr:
Physically Consistent Variational Denoising of Image Fluid Flow Estimates. DAGM-Symposium 2008: 406-415 - [c66]Jing Yuan, Gabriele Steidl, Christoph Schnörr:
Convex Hodge Decomposition of Image Flows. DAGM-Symposium 2008: 416-425 - [c65]Christian Gosch, Ketut Fundana, Anders Heyden, Christoph Schnörr:
View Point Tracking of Rigid Objects Based on Shape Sub-manifolds. ECCV (3) 2008: 251-263 - [c64]Ketut Fundana, Anders Heyden, Christian Gosch, Christoph Schnörr:
Continuous graph cuts for prior-based object segmentation. ICPR 2008: 1-4 - 2007
- [j41]Christoph Schnörr:
Signal and image approximation with level-set constraints. Computing 81(2-3): 137-160 (2007) - [j40]Christoph Schnörr:
Editorial: Marr Prize and Honorable Mentions at ICCV 2005. Int. J. Comput. Vis. 74(1): 1 (2007) - [j39]Christian Schellewald, Stefan Roth, Christoph Schnörr:
Evaluation of a convex relaxation to a quadratic assignment matching approach for relational object views. Image Vis. Comput. 25(8): 1301-1314 (2007) - [j38]Jürgen Gall, Jürgen Potthoff, Christoph Schnörr, Bodo Rosenhahn, Hans-Peter Seidel:
Interacting and Annealing Particle Filters: Mathematics and a Recipe for Applications. J. Math. Imaging Vis. 28(1): 1-18 (2007) - [j37]Jing Yuan, Christoph Schnörr, Étienne Mémin:
Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation. J. Math. Imaging Vis. 28(1): 67-80 (2007) - [j36]Jing Yuan, Christoph Schnörr, Gabriele Steidl:
Simultaneous Higher-Order Optical Flow Estimation and Decomposition. SIAM J. Sci. Comput. 29(6): 2283-2304 (2007) - [j35]Martin Welk, Joachim Weickert, Florian Becker, Christoph Schnörr, Christian Feddern, Bernhard Burgeth:
Median and related local filters for tensor-valued images. Signal Process. 87(2): 291-308 (2007) - [c63]Rezaul Karim, Martin Bergtholdt, Jörg H. Kappes, Christoph Schnörr:
Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification. DAGM-Symposium 2007: 395-404 - [c62]Stefan Schmidt, Jörg H. Kappes, Martin Bergtholdt, Vladimir Pekar, Sebastian P. M. Dries, Daniel Bystrov, Christoph Schnörr:
Spine Detection and Labeling Using a Parts-Based Graphical Model. IPMI 2007: 122-133 - [e2]Fred A. Hamprecht, Christoph Schnörr, Bernd Jähne:
Pattern Recognition, 29th DAGM Symposium, Heidelberg, Germany, September 12-14, 2007, Proceedings. Lecture Notes in Computer Science 4713, Springer 2007, ISBN 978-3-540-74933-2 [contents] - 2006
- [j34]Daniel Cremers, Nir A. Sochen, Christoph Schnörr:
A Multiphase Dynamic Labeling Model for Variational Recognition-driven Image Segmentation. Int. J. Comput. Vis. 66(1): 67-81 (2006) - [j33]Andrés Bruhn, Joachim Weickert, Timo Kohlberger, Christoph Schnörr:
A Multigrid Platform for Real-Time Motion Computation with Discontinuity-Preserving Variational Methods. Int. J. Comput. Vis. 70(3): 257-277 (2006) - [j32]Matthias Heiler, Christoph Schnörr:
Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming. J. Mach. Learn. Res. 7: 1385-1407 (2006) - [c61]Martin Bergtholdt, Jörg H. Kappes, Christoph Schnörr:
Learning of Graphical Models and Efficient Inference for Object Class Recognition. DAGM-Symposium 2006: 273-283 - [c60]Paul Ruhnau, Annette Stahl, Christoph Schnörr:
On-Line Variational Estimation of Dynamical Fluid Flows with Physics-Based Spatio-temporal Regularization. DAGM-Symposium 2006: 444-454 - [c59]Stefan Weber, Antal Nagy, Thomas Schüle, Christoph Schnörr, Attila Kuba:
A Benchmark Evaluation of Large-Scale Optimization Approaches to Binary Tomography. DGCI 2006: 146-156 - [c58]Matthias Heiler, Christoph Schnörr:
Controlling Sparseness in Non-negative Tensor Factorization. ECCV (1) 2006: 56-67 - [c57]Stefan Weber, Thomas Schüle, Attila Kuba, Christoph Schnörr:
Binary Tomography with Deblurring. IWCIA 2006: 375-388 - [p2]Martin Bergtholdt, Daniel Cremers, Christoph Schnörr:
Variational Segmentation with Shape Priors. Handbook of Mathematical Models in Computer Vision 2006: 131-143 - 2005
- [j31]Thomas Schüle, Christoph Schnörr, Stefan Weber, Joachim Hornegger:
Discrete tomography by convex-concave regularization and D.C. programming. Discret. Appl. Math. 151(1-3): 229-243 (2005) - [j30]Stefan Weber, Thomas Schüle, Christoph Schnörr:
Prior Learning and Convex-Concave Regularization of Binary Tomography. Electron. Notes Discret. Math. 20: 313-327 (2005) - [j29]Thomas Schüle, Stefan Weber, Christoph Schnörr:
Adaptive Reconstruction of Discrete-Valued Objects from few Projections. Electron. Notes Discret. Math. 20: 365-384 (2005) - [j28]Andrés Bruhn, Joachim Weickert, Christoph Schnörr:
Lucas/Kanade Meets Horn/Schunck: Combining Local and Global Optic Flow Methods. Int. J. Comput. Vis. 61(3): 211-231 (2005) - [j27]Matthias Heiler, Christoph Schnörr:
Natural Image Statistics for Natural Image Segmentation. Int. J. Comput. Vis. 63(1): 5-19 (2005) - [j26]Julia Neumann, Christoph Schnörr, Gabriele Steidl:
Combined SVM-Based Feature Selection and Classification. Mach. Learn. 61(1-3): 129-150 (2005) - [j25]Julia Neumann, Christoph Schnörr, Gabriele Steidl:
Efficient wavelet adaptation for hybrid wavelet-large margin classifiers. Pattern Recognit. 38(11): 1815-1830 (2005) - [j24]Andrés Bruhn, Joachim Weickert, Christian Feddern, Timo Kohlberger, Christoph Schnörr:
Variational optical flow computation in real time. IEEE Trans. Image Process. 14(5): 608-615 (2005) - [j23]Timo Kohlberger, Christoph Schnörr, Andrés Bruhn, Joachim Weickert:
Domain decomposition for variational optical-flow computation. IEEE Trans. Image Process. 14(8): 1125-1137 (2005) - [c56]Matthias Heiler, Jens Keuchel, Christoph Schnörr:
Semidefinite Clustering for Image Segmentation with A-priori Knowledge. DAGM-Symposium 2005: 309-317 - [c55]Martin Bergtholdt, Christoph Schnörr:
Shape Priors and Online Appearance Learning for Variational Segmentation and Object Recognition in Static Scenes. DAGM-Symposium 2005: 342-350 - [c54]Christian Schellewald, Christoph Schnörr:
Probabilistic Subgraph Matching Based on Convex Relaxation. EMMCVPR 2005: 171-186 - [c53]Matthias Heiler, Christoph Schnörr:
Reverse-Convex Programming for Sparse Image Codes. EMMCVPR 2005: 600-616 - [c52]Matthias Heiler, Christoph Schnörr:
Learning Non-Negative Sparse Image Codes by Convex Programming. ICCV 2005: 1667-1674 - [c51]Martin Welk, Florian Becker, Christoph Schnörr, Joachim Weickert:
Matrix-Valued Filters as Convex Programs. Scale-Space 2005: 204-216 - [c50]Jing Yuan, Paul Ruhnau, Étienne Mémin, Christoph Schnörr:
Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation. Scale-Space 2005: 267-278 - [c49]Andrés Bruhn, Joachim Weickert, Timo Kohlberger, Christoph Schnörr:
Discontinuity-Preserving Computation of Variational Optic Flow in Real-Time. Scale-Space 2005: 279-290 - [c48]Jing Yuan, Christoph Schnörr, Gabriele Steidl, Florian Becker:
A Study of Non-smooth Convex Flow Decomposition. VLSM 2005: 1-12 - [e1]Nikos Paragios, Olivier D. Faugeras, Tony Chan, Christoph Schnörr:
Variational, Geometric, and Level Set Methods in Computer Vision, Third International Workshop, VLSM 2005, Beijing, China, October 16, 2005, Proceedings. Lecture Notes in Computer Science 3752, Springer 2005, ISBN 3-540-29348-5 [contents] - 2004
- [j22]Andrés Bruhn, Tobias Jakob, Markus Fischer, Timo Kohlberger, Joachim Weickert, Ulrich Brüning, Christoph Schnörr:
High performance cluster computing with 3-D nonlinear diffusion filters. Real Time Imaging 10(1): 41-51 (2004) - [c47]Marcus Prümmer, Joachim Hornegger, Christoph Schnörr:
Computerunterstützte Gefäßanalyse für die interventionelle Anwendung. Bildverarbeitung für die Medizin 2004: 314-318 - [c46]Jens Keuchel, Matthias Heiler, Christoph Schnörr:
Hierarchical Image Segmentation Based on Semidefinite Programming. DAGM-Symposium 2004: 120-128 - [c45]Julia Neumann, Christoph Schnörr, Gabriele Steidl:
SVM-Based Feature Selection by Direct Objective Minimisation. DAGM-Symposium 2004: 212-219 - [c44]Daniel Cremers, Nir A. Sochen, Christoph Schnörr:
Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation. ECCV (4) 2004: 74-86 - [c43]Timo Kohlberger, Christoph Schnörr, Andrés Bruhn, Joachim Weickert:
Parallel Variational Motion Estimation by Domain Decomposition and Cluster Computing. ECCV (4) 2004: 205-216 - [c42]Jan Giebel, Dariu Gavrila, Christoph Schnörr:
A Bayesian Framework for Multi-cue 3D Object Tracking. ECCV (4) 2004: 241-252 - [c41]Jing Yuan, Christoph Schnörr, Timo Kohlberger, Paul Ruhnau:
Convex Set-Based Estimation of Image Flows. ICPR (1) 2004: 124-127 - [c40]Stefan Weber, Thomas Schüle, Joachim Hornegger, Christoph Schnörr:
Binary Tomography by Iterating Linear Programs from Noisy Projections. IWCIA 2004: 38-51 - [c39]Paul Ruhnau, Jing Yuan, Christoph Schnörr:
On Variational Methods for Fluid Flow Estimation. IWCM 2004: 124-145 - 2003
- [j21]Stefan Weber, Christoph Schnörr, Joachim Hornegger:
A Linear Programming Relaxation for Binary Tomography with Smoothness Priors. Electron. Notes Discret. Math. 12: 243-254 (2003) - [j20]Christian Schellewald, Christoph Schnörr:
Subgraph Matching with Semidefinite Programming. Electron. Notes Discret. Math. 12: 279-289 (2003) - [j19]Daniel Cremers, Christoph Schnörr:
Statistical shape knowledge in variational motion segmentation. Image Vis. Comput. 21(1): 77-86 (2003) - [j18]Jens Keuchel, Christoph Schnörr, Christian Schellewald, Daniel Cremers:
Binary Partitioning, Perceptual Grouping, and Restoration with Semidefinite Programming. IEEE Trans. Pattern Anal. Mach. Intell. 25(11): 1364-1379 (2003) - [j17]Daniel Cremers, Timo Kohlberger, Christoph Schnörr:
Shape statistics in kernel space for variational image segmentation. Pattern Recognit. 36(9): 1929-1943 (2003) - [c38]Stefan Weber, Thomas Schüle, Christoph Schnörr, Joachim Hornegger:
A Linear Programming Approach to Limited Angle 3D Reconstruction from DSA Projections. Bildverarbeitung für die Medizin 2003: 41-45 - [c37]Andrés Bruhn, Joachim Weickert, Christian Feddern, Timo Kohlberger, Christoph Schnörr:
Real-Time Optic Flow Computation with Variational Methods. CAIP 2003: 222-229 - [c36]Julia Neumann, Christoph Schnörr, Gabriele Steidl:
Feasible Adaptation Criteria for Hybrid Wavelet - Large Margin Classifiers. CAIP 2003: 588-595 - [c35]Timo Kohlberger, Christoph Schnörr, Andrés Bruhn, Joachim Weickert:
Domain Decomposition for Parallel Variational Optical Flow Computation. DAGM-Symposium 2003: 196-203 - [c34]Matthias Heiler, Christoph Schnörr:
Natural Image Statistics for Natural Image Segmentation. ICCV 2003: 1259-1266 - [c33]Timo Kohlberger, Christoph Schnörr, Étienne Mémin:
Variational dense motion estimation using a div-curl high-order regularization. ISSPA (1) 2003: 641-644 - [c32]Daniel Cremers, Nir A. Sochen, Christoph Schnörr:
Towards Recognition-Based Variational Segmentation Using Shape Priors and Dynamic Labeling. Scale-Space 2003: 388-400 - [c31]Timo Kohlberger, Étienne Mémin, Christoph Schnörr:
Variational Dense Motion Estimation Using the Helmholtz Decomposition. Scale-Space 2003: 432-448 - 2002
- [j16]Daniel Cremers, Florian Tischhäuser, Joachim Weickert, Christoph Schnörr:
Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford-Shah Functional. Int. J. Comput. Vis. 50(3): 295-313 (2002) - [c30]Jens Keuchel, Christoph Schnörr, Christian Schellewald, Daniel Cremers:
Unsupervised Image Partitioning with Semidefinite Programming. DAGM-Symposium 2002: 141-149 - [c29]Andrés Bruhn, Tobias Jakob, Markus Fischer, Timo Kohlberger, Joachim Weickert, Ulrich Brüning, Christoph Schnörr:
Designing 3-D Nonlinear Diffusion Filters for High Performance Cluster Computing. DAGM-Symposium 2002: 290-297 - [c28]Andrés Bruhn, Joachim Weickert, Christoph Schnörr:
Combining the Advantages of Local and Global Optic Flow Methods. DAGM-Symposium 2002: 454-462 - [c27]Daniel Cremers, Christoph Schnörr:
Motion Competition: Variational Integration of Motion Segmentation and Shape Regularization. DAGM-Symposium 2002: 472-480 - [c26]Daniel Cremers, Timo Kohlberger, Christoph Schnörr:
Nonlinear Shape Statistics in Mumford-Shah Based Segmentation. ECCV (2) 2002: 93-108 - 2001
- [j15]Joachim Weickert, Christoph Schnörr:
A Theoretical Framework for Convex Regularizers in PDE-Based Computation of Image Motion. Int. J. Comput. Vis. 45(3): 245-264 (2001) - [j14]Joachim Weickert, Christoph Schnörr:
Variational Optic Flow Computation with a Spatio-Temporal Smoothness Constraint. J. Math. Imaging Vis. 14(3): 245-255 (2001) - [j13]Joachim Weickert, Josef Heers, Christoph Schnörr, Karel J. Zuiderveld, Otmar Scherzer, H. Siegfried Stiehl:
Fast Parallel Algorithms for a Broad Class of Nonlinear Variational Diffusion Approaches. Real Time Imaging 7(1): 31-45 (2001) - [j12]Klaus Wiehler, Josef Heers, Christoph Schnörr, H. Siegfried Stiehl, Rolf-Rainer Grigat:
A One-Dimensional Analog VLSI Implementation for Nonlinear Real-Time Signal Preprocessing. Real Time Imaging 7(1): 127-142 (2001) - [j11]Josef Heers, Christoph Schnörr, H. Siegfried Stiehl:
Globally convergent iterative numerical schemes for nonlinear variational image smoothing and segmentation on a multiprocessor machine. IEEE Trans. Image Process. 10(6): 852-864 (2001) - [c25]Daniel Cremers, Timo Kohlberger, Christoph Schnörr:
Nonlinear Shape Statistics via Kernel Spaces. DAGM-Symposium 2001: 269-276 - [c24]Jens Keuchel, Christian Schellewald, Daniel Cremers, Christoph Schnörr:
Convex Relaxations for Binary Image Partitioning and Perceptual Grouping. DAGM-Symposium 2001: 353-360 - [c23]Christian Schellewald, Stefan Roth, Christoph Schnörr:
Evaluation of Convex Optimization Techniques for the Weighted Graph-Matching Problem in Computer Vision. DAGM-Symposium 2001: 361-368 - [c22]Christian Schellewald, Jens Keuchel, Christoph Schnörr:
Image Labeling and Grouping by Minimizing Linear Functionals over Cones. EMMCVPR 2001: 267-282 - 2000
- [j10]Joachim Weickert, Christoph Schnörr:
PDE - Based Preprocessing of Medical Images. Künstliche Intell. 14(3): 5-10 (2000) - [j9]Christoph Schnörr, Joachim Weickert:
Medical Computer Vision - Service Page. Künstliche Intell. 14(3): 43 (2000) - [c21]Daniel Cremers, Christoph Schnörr, Joachim Weickert, Christian Schellewald:
Diffusion-Snakes Using Statistical Shape Knowledge. AFPAC 2000: 164-174 - [c20]Christoph Schnörr, Joachim Weickert:
Variational Image Motion Computation: Theoretical Framework, Problems and Perspectives. DAGM-Symposium 2000: 476-487 - [p1]Christoph Schnörr:
Variational Methods for Adaptive Smoothing and Segmentation. Computer Vision and Applications 2000: 459-482
1990 – 1999
- 1999
- [j8]Wladimir Peckar, Christoph Schnörr, Karl Rohr, H. Siegfried Stiehl:
Parameter-Free Elastic Deformation Approach for 2D and 3D Registration Using Prescribed Displacements. J. Math. Imaging Vis. 10(2): 143-162 (1999) - [c19]Joachim Weickert, Christoph Schnörr:
Räumlich-zeitliche Berechnung des optischen Flusses mit nichtlinearen flußabhängigen Glattheitstermen. DAGM-Symposium 1999: 317-324 - 1998
- [j7]Christoph Schnörr:
A Study of a Convex Variational Diffusion Approach for Image Segmentation and Feature Extraction. J. Math. Imaging Vis. 8(3): 271-292 (1998) - [c18]Wladimir Peckar, Christoph Schnörr, Karl Rohr, H. Siegfried Stiehl:
Non-Rigid Image Registration Using a Parameter-Free Elastic Model. BMVC 1998: 1-10 - [c17]Josef Heers, Christoph Schnörr, H. Siegfried Stiehl:
Parallele und global konvergente iterative Minimierung nichtlinearer Variationsansätze zur adaptiven Glättung und Segmentation von Bildern. DAGM-Symposium 1998: 109-116 - [c16]Klaus Wiehler, Rolf-Rainer Grigat, Josef Heers, Christoph Schnörr, H. Siegfried Stiehl:
Real-Time Adaptive Smoothing with a 1-D Nonlinear Relaxation. DAGM-Symposium 1998: 341-348 - [c15]Josef Heers, Christoph Schnörr, H. Siegfried Stiehl:
Investigation of Parallel and Globally Convergent Iterative Schemes for Nonlinear Variational Image Smoothing and Segmentation. ICIP (3) 1998: 279-283 - [c14]Josef Heers, Christoph Schnörr, H. Siegfried Stiehl:
A Class of Parallel Algorithms for Nonlinear Variational Segmentation: A preprocess for robust feature-based image coding. NMBIA 1998: 146-151 - 1997
- [c13]Pär Fornland, Christoph Schnörr:
A robust and convergent iterative approach for determining the dominant plane from two views without correspondence and calibration. CVPR 1997: 508-513 - [c12]Wladimir Peckar, Christoph Schnörr, Karl Rohr, H. Siegfried Stiehl:
Two-Step Parameter-Free Elastic Image Registration with Prescribed Point Displacements. ICIAP (1) 1997: 527-534 - 1996
- [c11]Christoph Schnörr:
Repräsentation von Bilddaten mit einem konvexen Variationsansatz. DAGM-Symposium 1996: 21-28 - 1995
- [c10]Christoph Schnörr, Wladimir Peckar:
Motion-Based Identification of Deformable Templates. CAIP 1995: 122-129 - 1994
- [j6]Christoph Schnörr, Rainer Sprengel:
A nonlinear regularization approach to early vision. Biol. Cybern. 72(2): 141-149 (1994) - [j5]Christoph Schnörr:
Unique reconstruction of piecewise-smooth images by minimizing strictly convex nonquadratic functionals. J. Math. Imaging Vis. 4(2): 189-198 (1994) - [c9]Jukka Heikkonen, Pasi Koikkalainen, Christoph Schnörr:
Learning motion trajectories via self-organization. ICPR (2) 1994: 554-556 - [c8]Christoph Schnörr:
Segmentation of visual motion by minimizing convex non-quadratic functionals. ICPR (1) 1994: 661-663 - [c7]Christoph Schnörr, Rainer Sprengel, Bernd Neumann:
A Variational Approach to the Design of Early Vision Algorithms. Theoretical Foundations of Computer Vision 1994: 149-165 - 1993
- [j4]Karl Rohr, Christoph Schnörr:
An efficient approach to the identification of characteristic intensity variations. Image Vis. Comput. 11(5): 273-277 (1993) - [j3]Christoph Schnörr:
On Functionals with Greyvalue-Controlled Smoothness Terms for Determining Optical Flow. IEEE Trans. Pattern Anal. Mach. Intell. 15(10): 1074-1079 (1993) - [c6]Rainer Sprengel, Christoph Schnörr:
Nichtlineare Diffusion zur Integration visueller Daten-Anwendung auf Kernspintomogramme. DAGM-Symposium 1993: 134-141 - [c5]Christoph Schnörr, Heinrich Niemann, Jörg Kopecz:
Architekturkonzepte zur Bildauswertung. KI 1993: 268-274 - 1992
- [j2]Christoph Schnörr:
Computation of discontinuous optical flow by domain decomposition and shape optimization. Int. J. Comput. Vis. 8(2): 153-165 (1992) - [c4]Christoph Schnörr, Bernd Neumann:
Ein Ansatz zur effizienten und eindeutigen Rekonstruktion stückweise glatter Funktionen. DAGM-Symposium 1992: 411-416 - 1991
- [b1]Christoph Schnörr:
Funktionalanalytische Methoden zur Gewinnung von Bewegungsinformation aus TV-Bildfolgen. Karlsruhe Institute of Technology, Germany, 1991, pp. 1-121 - [j1]Christoph Schnörr:
Determining optical flow for irregular domains by minimizing quadratic functionals of a certain class. Int. J. Comput. Vis. 6(1): 25-38 (1991) - 1990
- [c3]Christoph Schnörr:
Computation of discontinous optical flow by domain decomposition and shape optimization. BMVC 1990: 1-6 - [c2]D. Bister, Karl Rohr, Christoph Schnörr:
Automatische Bestimmung der Trajektorien von sich bewegenden Objekten aus einer Bildfolge. DAGM-Symposium 1990: 44-51
1980 – 1989
- 1989
- [c1]Christoph Schnörr:
Zur Schätzung von Geschwindigkeitsvektorferldern in Bildfolgen mit einer richtungsabhängigen Glattheitsforderung. DAGM-Symposium 1989: 294-301
Coauthor Index
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