Christoph Schnörr

299 papers A* 16A 3B 1C 5Misc 1Journal 143Unranked 124

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Generative Modeling of Discrete Data Using Geometric Latent Subspaces. CoRR Daniel Gonzalez-Alvarado, Jonas Cassel, Stefania Petra, Christoph Schnörr
2025	—	`conf`	Bundle Scale Spaces and Local Gauge Symmetries for Graph Networks. SSVM (2) Jonas Cassel, Fabio Schlindwein, Peter Albers, Christoph Schnörr
2025	—	`conf`	DROID-Splat Combining End-to-End SLAM with 3D Gaussian Splatting. ICCVW Christian Homeyer, Leon Begiristain, Christoph Schnörr
2025	J	`jnl`	Generative Assignment Flows for Representing and Learning Joint Distributions of Discrete Data. J. Math. Imaging Vis. Bastian Boll, Daniel Gonzalez-Alvarado, Stefania Petra, Christoph Schnörr
2025	A*	`conf`	Learning Distances from Data with Normalizing Flows and Score Matching. ICML Peter Sorrenson, Daniel Behrend-Uriarte, Christoph Schnörr, Ullrich Köthe
2025	—	`conf`	Riemannian Patch Assignment Gradient Flows. SSVM (2) Daniel Gonzalez-Alvarado, Fabio Schlindwein, Jonas Cassel, Laura Steingruber, Stefania Petra, Christoph Schnörr
2025	J	`jnl`	Riemannian Patch Assignment Gradient Flows. CoRR Daniel Gonzalez-Alvarado, Fabio Schlindwein, Jonas Cassel, Laura Steingruber, Stefania Petra, Christoph Schnörr
2025	J	`jnl`	Sigma Flows for Image and Data Labeling and Learning Structured Prediction. J. Math. Imaging Vis. Jonas Cassel, Bastian Boll, Stefania Petra, Peter Albers, Christoph Schnörr
2024	J	`jnl`	A Geometric Embedding Approach to Multiple Games and Multiple Populations. CoRR Bastian Boll, Jonas Cassel, Peter Albers, Stefania Petra, Christoph Schnörr
2024	J	`jnl`	DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting. CoRR Christian Homeyer, Leon Begiristain, Christoph Schnörr
2024	J	`jnl`	Expectation and Variance of the Degree of a Node in Random Spanning Trees. CoRR Enrique Fita Sanmartín, Christoph Schnörr, Fred A. Hamprecht
2024	J	`jnl`	Generative Assignment Flows for Representing and Learning Joint Distributions of Discrete Data. CoRR Bastian Boll, Daniel Gonzalez-Alvarado, Stefania Petra, Christoph Schnörr
2024	J	`jnl`	Generative Modeling of Discrete Joint Distributions by E-Geodesic Flow Matching on Assignment Manifolds. CoRR Bastian Boll, Daniel Gonzalez-Alvarado, Christoph Schnörr
2024	J	`jnl`	Learning Distances from Data with Normalizing Flows and Score Matching. CoRR Peter Sorrenson, Daniel Behrend-Uriarte, Christoph Schnörr, Ullrich Köthe
2024	J	`jnl`	On Moving Object Segmentation from Monocular Video with Transformers. CoRR Christian Homeyer, Christoph Schnörr
2024	J	`jnl`	On the Universality of Coupling-based Normalizing Flows. CoRR Felix Draxler, Stefan Wahl, Christoph Schnörr, Ullrich Köthe
2024	A*	`conf`	On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows. ICML Felix Draxler, Stefan Wahl, Christoph Schnörr, Ullrich Köthe
2024	J	`jnl`	Sigma Flows for Image and Data Labeling and Learning Structured Prediction. CoRR Jonas Cassel, Bastian Boll, Stefania Petra, Peter Albers, Christoph Schnörr
2024	J	`jnl`	The Central Spanning Tree Problem. CoRR Enrique Fita Sanmartín, Christoph Schnörr, Fred A. Hamprecht
2023	J	`jnl`	A Nonlocal Graph-PDE and Higher-Order Geometric Integration for Image Labeling. SIAM J. Imaging Sci. Dmitrij Sitenko, Bastian Boll, Christoph Schnörr
2023	J	`jnl`	Learning Linearized Assignment Flows for Image Labeling. J. Math. Imaging Vis. Alexander Zeilmann, Stefania Petra, Christoph Schnörr
2023	J	`jnl`	Learning system parameters from turing patterns. Mach. Learn. David Schnörr, Christoph Schnörr
2023	—	`conf`	Modeling Large-Scale Joint Distributions and Inference by Randomized Assignment. SSVM Bastian Boll, Jonathan Schwarz, Daniel Gonzalez-Alvarado, Dmitrij Sitenko, Stefania Petra, Christoph Schnörr
2023	A*	`conf`	On Certified Generalization in Structured Prediction. NeurIPS Bastian Boll, Christoph Schnörr
2023	J	`jnl`	On Certified Generalization in Structured Prediction. CoRR Bastian Boll, Christoph Schnörr
2023	—	`conf`	On Moving Object Segmentation from Monocular Video with Transformers. ICCV (Workshops) Christian Homeyer, Christoph Schnörr
2023	A*	`conf`	On the Convergence Rate of Gaussianization with Random Rotations. ICML Felix Draxler, Lars Kühmichel, Armand Rousselot, Jens Müller, Christoph Schnörr, Ullrich Köthe
2023	J	`jnl`	On the Convergence Rate of Gaussianization with Random Rotations. CoRR Felix Draxler, Lars Kühmichel, Armand Rousselot, Jens Müller, Christoph Schnörr, Ullrich Köthe
2023	—	`conf`	On the Remarkable Efficiency of SMART. SSVM Max Kahl, Stefania Petra, Christoph Schnörr, Gabriele Steidl, Matthias Zisler
2023	—	`conf`	Quantum State Assignment Flows. SSVM Jonathan Schwarz, Bastian Boll, Daniel Gonzalez-Alvarado, Dmitrij Sitenko, Martin Gärttner, Peter Albers, Christoph Schnörr
2023	J	`jnl`	Quantum State Assignment Flows. CoRR Jonathan Schwarz, Jonas Cassel, Bastian Boll, Martin Gärttner, Peter Albers, Christoph Schnörr
2023	J	`jnl`	Quantum State Assignment Flows. Entropy Jonathan Schwarz, Jonas Cassel, Bastian Boll, Martin Gärttner, Peter Albers, Christoph Schnörr
2022	J	`jnl`	A Nonlocal Graph-PDE and Higher-Order Geometric Integration for Image Labeling. CoRR Dmitrij Sitenko, Bastian Boll, Christoph Schnörr
2022	—	`conf`	Multi-view Monocular Depth and Uncertainty Prediction with Deep SfM in Dynamic Environments. ICPRAI (1) Christian Homeyer, Oliver Lange, Christoph Schnörr
2022	J	`jnl`	Multi-view Monocular Depth and Uncertainty Prediction with Deep SfM in Dynamic Environments. CoRR Christian Homeyer, Oliver Lange, Christoph Schnörr
2022	J	`jnl`	Self-Certifying Classification by Linearized Deep Assignment. CoRR Bastian Boll, Alexander Zeilmann, Stefania Petra, Christoph Schnörr
2022	A*	`conf`	Whitening Convergence Rate of Coupling-based Normalizing Flows. NeurIPS Felix Draxler, Christoph Schnörr, Ullrich Köthe
2022	J	`jnl`	Whitening Convergence Rate of Coupling-based Normalizing Flows. CoRR Felix Draxler, Christoph Schnörr, Ullrich Köthe
2021	J	`jnl`	Assignment Flow for Order-Constrained OCT Segmentation. Int. J. Comput. Vis. Dmitrij Sitenko, Bastian Boll, Christoph Schnörr
2021	—	`conf`	Assignment Flows and Nonlocal PDEs on Graphs. GCPR Dmitrij Sitenko, Bastian Boll, Christoph Schnörr
2021	J	`jnl`	Learning Adaptive Regularization for Image Labeling Using Geometric Assignment. J. Math. Imaging Vis. Ruben Hühnerbein, Fabrizio Savarino, Stefania Petra, Christoph Schnörr
2021	—	`conf`	Learning Linear Assignment Flows for Image Labeling via Exponential Integration. SSVM Alexander Zeilmann, Stefania Petra, Christoph Schnörr
2021	J	`jnl`	Learning Linearized Assignment Flows for Image Labeling. CoRR Alexander Zeilmann, Stefania Petra, Christoph Schnörr
2021	J	`jnl`	Learning System Parameters from Turing Patterns. CoRR David Schnörr, Christoph Schnörr
2021	—	`conf`	On the Correspondence Between Replicator Dynamics and Assignment Flows. SSVM Bastian Boll, Jonathan Schwarz, Christoph Schnörr
2021	—	`conf`	On the Geometric Mechanics of Assignment Flows for Metric Data Labeling. SSVM Fabrizio Savarino, Peter Albers, Christoph Schnörr
2021	—	`conf`	Quantifying Uncertainty of Image Labelings Using Assignment Flows. GCPR Daniel Gonzalez-Alvarado, Alexander Zeilmann, Christoph Schnörr
2020	—	`conf`	Assignment Flow for Order-Constrained OCT Segmentation. GCPR Dmitrij Sitenko, Bastian Boll, Christoph Schnörr
2020	J	`jnl`	Assignment Flow for Order-Constrained OCT Segmentation. CoRR Dmitrij Sitenko, Bastian Boll, Christoph Schnörr
2020	J	`jnl`	Assignment Flows for Data Labeling on Graphs: Convergence and Stability. CoRR Artjom Zern, Alexander Zeilmann, Christoph Schnörr
2020	—	`conf`	Characterizing the Role of a Single Coupling Layer in Affine Normalizing Flows. GCPR Felix Draxler, Jonathan Schwarz, Christoph Schnörr, Ullrich Köthe
2020	—	`conf`	Riemannian SOS-Polynomial Normalizing Flows. GCPR Jonathan Schwarz, Felix Draxler, Ullrich Köthe, Christoph Schnörr
2020	J	`jnl`	Self-Assignment Flows for Unsupervised Data Labeling on Graphs. SIAM J. Imaging Sci. Matthias Zisler, Artjom Zern, Stefania Petra, Christoph Schnörr
2020	J	`jnl`	Sum-product graphical models. Mach. Learn. Mattia Desana, Christoph Schnörr
2020	J	`jnl`	Unsupervised Assignment Flow: Label Learning on Feature Manifolds by Spatially Regularized Geometric Assignment. J. Math. Imaging Vis. Artjom Zern, Matthias Zisler, Stefania Petra, Christoph Schnörr
2019	—	`conf`	A Variational Perspective on the Assignment Flow. SSVM Fabrizio Savarino, Christoph Schnörr
2019	J	`jnl`	Approximate Variational Inference Based on a Finite Sample of Gaussian Latent Variables. CoRR Nikolaos Gianniotis, Christoph Schnörr, Christian Molkenthin, Sanjay Singh Bora
2019	J	`jnl`	Continuous-Domain Assignment Flows. CoRR Fabrizio Savarino, Christoph Schnörr
2019	J	`jnl`	Fast multivariate log-concave density estimation. Comput. Stat. Data Anal. Fabian Rathke, Christoph Schnörr
2019	J	`jnl`	Globally optimal segmentation of cell nuclei in fluorescence microscopy images using shape and intensity information. Medical Image Anal. Leonid Kostrykin, Christoph Schnörr, Karl Rohr
2019	—	`conf`	Learning Adaptive Regularization for Image Labeling Using Geometric Assignment. SSVM Ruben Hühnerbein, Fabrizio Savarino, Stefania Petra, Christoph Schnörr
2019	J	`jnl`	Learning Adaptive Regularization for Image Labeling Using Geometric Assignment. CoRR Ruben Hühnerbein, Fabrizio Savarino, Stefania Petra, Christoph Schnörr
2019	J	`jnl`	Self-Assignment Flows for Unsupervised Data Labeling on Graphs. CoRR Matthias Zisler, Artjom Zern, Stefania Petra, Christoph Schnörr
2019	J	`jnl`	Superiorization vs. Accelerated Convex Optimization: The Superiorized/Regularized Least-Squares Case. CoRR Yair Censor, Stefania Petra, Christoph Schnörr
2019	J	`jnl`	Unsupervised Assignment Flow: Label Learning on Feature Manifolds by Spatially Regularized Geometric Assignment. CoRR Artjom Zern, Matthias Zisler, Stefania Petra, Christoph Schnörr
2019	—	`conf`	Unsupervised Labeling by Geometric and Spatially Regularized Self-assignment. SSVM Matthias Zisler, Artjom Zern, Stefania Petra, Christoph Schnörr
2018	J	`jnl`	Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment. SIAM J. Imaging Sci. Ruben Hühnerbein, Fabrizio Savarino, Freddie Åström, Christoph Schnörr
2018	—	`conf`	Segmentation of cell nuclei using intensity-based model fitting and sequential convex programming. ISBI Leonid Kostrykin, Christoph Schnörr, Karl Rohr
2018	—	`conf`	Unsupervised Label Learning on Manifolds by Spatially Regularized Geometric Assignment. GCPR Artjom Zern, Matthias Zisler, Freddie Åström, Stefania Petra, Christoph Schnörr
2017	—	`conf`	A Local Spatio-Temporal Approach to Plane Wave Ultrasound Particle Image Velocimetry. GCPR Ecaterina Bodnariuc, Stefania Petra, Christoph Schnörr, Jason D. Voorneveld
2017	J	`jnl`	A geometric approach for color image regularization. Comput. Vis. Image Underst. Freddie Åström, Christoph Schnörr
2017	—	`conf`	Compressed Motion Sensing. SSVM Robert Dalitz, Stefania Petra, Christoph Schnörr
2017	—	`conf`	Geometric Image Labeling with Global Convex Labeling Constraints. EMMCVPR Artjom Zern, Karl Rohr, Christoph Schnörr
2017	—	`conf`	Gradient Flows on a Riemannian Submanifold for Discrete Tomography. GCPR Matthias Zisler, Fabrizio Savarino, Stefania Petra, Christoph Schnörr
2017	J	`jnl`	Guest Editorial: Best Papers from ICCV 2015. Int. J. Comput. Vis. Katsushi Ikeuchi, Christoph Schnörr, Josef Sivic, René Vidal
2017	J	`jnl`	Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment. CoRR Ruben Hühnerbein, Fabrizio Savarino, Freddie Åström, Christoph Schnörr
2017	J	`jnl`	Image Labeling by Assignment. J. Math. Imaging Vis. Freddie Åström, Stefania Petra, Bernhard Schmitzer, Christoph Schnörr
2017	—	`conf`	Image Reconstruction by Multilabel Propagation. SSVM Matthias Zisler, Freddie Åström, Stefania Petra, Christoph Schnörr
2017	—	`conf`	Locally Adaptive Probabilistic Models for Global Segmentation of Pathological OCT Scans. MICCAI (1) Fabian Rathke, Mattia Desana, Christoph Schnörr
2017	—	`conf`	MAP Image Labeling Using Wasserstein Messages and Geometric Assignment. SSVM Freddie Åström, Ruben Hühnerbein, Fabrizio Savarino, Judit Recknagel, Christoph Schnörr
2017	—	`conf`	Numerical Integration of Riemannian Gradient Flows for Image Labeling. SSVM Fabrizio Savarino, Ruben Hühnerbein, Freddie Åström, Judit Recknagel, Christoph Schnörr
2017	J	`jnl`	Second-Order Recursive Filtering on the Rigid-Motion Lie Group SE J. Math. Imaging Vis. Johannes Berger, Frank Lenzen, Florian Becker, Andreas Neufeld, Christoph Schnörr
2017	—	`conf`	Segmentation of cell structures using Model-Based Set Covering with iterative reweighting. ISBI Peter Markowsky, Svenja Reith, Tabea E. Zuber, Rainer König, Karl Rohr, Christoph Schnörr
2017	J	`jnl`	Sum-Product Graphical Models. CoRR Mattia Desana, Christoph Schnörr
2016	J	`jnl`	A Geometric Approach to Color Image Regularization. CoRR Freddie Åström, Christoph Schnörr
2016	—	`conf`	A Geometric Approach to Image Labeling. ECCV (5) Freddie Åström, Stefania Petra, Bernhard Schmitzer, Christoph Schnörr
2016	J	`jnl`	Approximate variational inference based on a finite sample of Gaussian latent variables. Pattern Anal. Appl. Nikolaos Gianniotis, Christoph Schnörr, Christian Molkenthin, Sanjay Singh Bora
2016	—	`conf`	Discrete Tomography by Continuous Multilabeling Subject to Projection Constraints. GCPR Matthias Zisler, Stefania Petra, Claudius Schnörr, Christoph Schnörr
2016	—	`conf`	Double-Opponent Vectorial Total Variation. ECCV (2) Freddie Åström, Christoph Schnörr
2016	J	`jnl`	Expectation Maximization for Sum-Product Networks as Exponential Family Mixture Models. CoRR Mattia Desana, Christoph Schnörr
2016	J	`jnl`	Higher-order segmentation via multicuts. Comput. Vis. Image Underst. Jörg Hendrik Kappes, Markus Speth, Gerhard Reinelt, Christoph Schnörr
2016	J	`jnl`	Image Labeling by Assignment. CoRR Freddie Åström, Stefania Petra, Bernhard Schmitzer, Christoph Schnörr
2016	—	`conf`	Joint Recursive Monocular Filtering of Camera Motion and Disparity Map. GCPR Johannes Berger, Christoph Schnörr
2016	J	`jnl`	Joint Recursive Monocular Filtering of Camera Motion and Disparity Map. CoRR Johannes Berger, Christoph Schnörr
2016	J	`jnl`	Multicuts and Perturb & MAP for Probabilistic Graph Clustering. CoRR Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr
2016	J	`jnl`	Multicuts and Perturb & MAP for Probabilistic Graph Clustering. J. Math. Imaging Vis. Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr
2016	J	`jnl`	Non-Binary Discrete Tomography by Continuous Non-Convex Optimization. IEEE Trans. Computational Imaging Matthias Zisler, Jörg Hendrik Kappes, Claudius Schnörr, Stefania Petra, Christoph Schnörr
2016	—	`conf`	Parametric Dictionary-Based Velocimetry for Echo PIV. GCPR Ecaterina Bodnariuc, Stefania Petra, Christian Poelma, Christoph Schnörr
2016	J	`jnl`	Partial Optimality by Pruning for MAP-Inference with General Graphical Models. IEEE Trans. Pattern Anal. Mach. Intell. Paul Swoboda, Alexander Shekhovtsov, Jörg Hendrik Kappes, Christoph Schnörr, Bogdan Savchynskyy
2016	J	`jnl`	Symmetry-free SDP Relaxations for Affine Subspace Clustering. CoRR Francesco Silvestri, Gerhard Reinelt, Christoph Schnörr
2016	—	`conf`	The Assignment Manifold: A Smooth Model for Image Labeling. CVPR Workshops Freddie Åström, Stefania Petra, Bernhard Schmitzer, Christoph Schnörr
2015	—	`conf`	3D segmentation of vessels by incremental implicit polynomial fitting and convex optimization. ISBI Andreas Biesdorf, Stefan Wörz, Hendrik von Tengg-Kobligk, Karl Rohr, Christoph Schnörr
2015	J	`jnl`	A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. Int. J. Comput. Vis. 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
2015	—	`conf`	A Convex Relaxation Approach to the Affine Subspace Clustering Problem. GCPR Francesco Silvestri, Gerhard Reinelt, Christoph Schnörr
2015	—	`conf`	Estimating Vehicle Ego-Motion and Piecewise Planar Scene Structure from Optical Flow in a Continuous Framework. GCPR Andreas Neufeld, Johannes Berger, Florian Becker, Frank Lenzen, Christoph Schnörr
2015	J	`jnl`	Globally Optimal Joint Image Segmentation and Shape Matching Based on Wasserstein Modes. J. Math. Imaging Vis. Bernhard Schmitzer, Christoph Schnörr
2015	—	`conf`	On coupled regularization for non-convex variational image enhancement. ACPR Freddie Åström, Christoph Schnörr
2015	—	`ch.`	Optical Flow. Handbook of Mathematical Methods in Imaging Florian Becker, Stefania Petra, Christoph Schnörr
2015	—	`conf`	Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts. SSVM Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr
2015	—	`conf`	Second Order Minimum Energy Filtering on $${\text {SE}}_{3}$$ with Nonlinear Measurement Equations. SSVM Johannes Berger, Andreas Neufeld, Florian Becker, Frank Lenzen, Christoph Schnörr
2015	—	`conf`	TomoGC: Binary Tomography by Constrained GraphCuts. GCPR Jörg Hendrik Kappes, Stefania Petra, Christoph Schnörr, Matthias Zisler
2014	J	`jnl`	A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. CoRR 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
2014	—	`conf`	Adaptive Dictionary-Based Spatio-temporal Flow Estimation for Echo PIV. EMMCVPR Ecaterina Bodnariuc, Arati Gurung, Stefania Petra, Christoph Schnörr
2014	—	`conf`	An Entropic Perturbation Approach to TV-Minimization for Limited-Data Tomography. DGCI Andreea Denitiu, Stefania Petra, Claudius Schnörr, Christoph Schnörr
2014	J	`jnl`	Globally Optimal Joint Image Segmentation and Shape Matching based on Wasserstein Modes. CoRR Bernhard Schmitzer, Christoph Schnörr
2014	—	`conf`	MAP-Inference on Large Scale Higher-Order Discrete Graphical Models by Fusion Moves. ECCV Workshops (2) Jörg Hendrik Kappes, Thorsten Beier, Christoph Schnörr
2014	A*	`conf`	Partial Optimality by Pruning for MAP-Inference with General Graphical Models. CVPR Paul Swoboda, Bogdan Savchynskyy, Jörg H. Kappes, Christoph Schnörr
2014	J	`jnl`	Partial Optimality by Pruning for MAP-Inference with General Graphical Models. CoRR Paul Swoboda, Alexander Shekhovtsov, Jörg Hendrik Kappes, Christoph Schnörr, Bogdan Savchynskyy
2014	J	`jnl`	Phase Transitions and Cosparse Tomographic Recovery of Compound Solid Bodies from Few Projections. Fundam. Informaticae Andreea Denitiu, Stefania Petra, Claudius Schnörr, Christoph Schnörr
2014	J	`jnl`	Probabilistic Intra-Retinal Layer Segmentation in 3-D OCT Images Using Global Shape Regularization. CoRR Fabian Rathke, Stefan Schmidt, Christoph Schnörr
2014	J	`jnl`	Probabilistic intra-retinal layer segmentation in 3-D OCT images using global shape regularization. Medical Image Anal. Fabian Rathke, Stefan Schmidt, Christoph Schnörr
2014	J	`jnl`	Solving QVIs for Image Restoration with Adaptive Constraint Sets. CoRR Frank Lenzen, Jan Lellmann, Florian Becker, Christoph Schnörr
2014	J	`jnl`	Solving Quasi-Variational Inequalities for Image Restoration with Adaptive Constraint Sets. SIAM J. Imaging Sci. Frank Lenzen, Jan Lellmann, Florian Becker, Christoph Schnörr
2013	A*	`conf`	A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems. CVPR 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
2013	—	`conf`	A Hierarchical Approach to Optimal Transport. SSVM Bernhard Schmitzer, Christoph Schnörr
2013	J	`jnl`	A class of quasi-variational inequalities for adaptive image denoising and decomposition. Comput. Optim. Appl. Frank Lenzen, Florian Becker, Jan Lellmann, Stefania Petra, Christoph Schnörr
2013	—	`conf`	B-SMART: Bregman-Based First-Order Algorithms for Non-negative Compressed Sensing Problems. SSVM Stefania Petra, Christoph Schnörr, Florian Becker, Frank Lenzen
2013	J	`jnl`	COAL: a generic modelling and prototyping framework for convex optimization problems of variational image analysis. Optim. Methods Softw. Dirk Breitenreicher, Jan Lellmann, Christoph Schnörr
2013	J	`jnl`	Contour Manifolds and Optimal Transport. CoRR Bernhard Schmitzer, Christoph Schnörr
2013	J	`jnl`	Convex Variational Image Restoration with Histogram Priors CoRR Paul Swoboda, Christoph Schnörr
2013	J	`jnl`	Convex Variational Image Restoration with Histogram Priors. SIAM J. Imaging Sci. Paul Swoboda, Christoph Schnörr
2013	J	`jnl`	Critical Parameter Values and Reconstruction Properties of Discrete Tomography: Application to Experimental Fluid Dynamics. Fundam. Informaticae Stefania Petra, Christoph Schnörr, Andreas Schröder
2013	J	`jnl`	Discrete and Continuous Models for Partitioning Problems. Int. J. Comput. Vis. Jan Lellmann, Björn Lellmann, Florian Widmann, Christoph Schnörr
2013	—	`conf`	Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation. NIPS Bogdan Savchynskyy, Jörg Hendrik Kappes, Paul Swoboda, Christoph Schnörr
2013	J	`jnl`	Guest Editorial: Scale-Space and Variational Methods. J. Math. Imaging Vis. Bart M. ter Haar Romeny, Christoph Schnörr
2013	J	`jnl`	Guest Editorial: Variational Models, Convex Analysis and Numerical Optimization in Mathematical Imaging. J. Math. Imaging Vis. Antonin Chambolle, Michael Hintermüller, Thomas Pock, Christoph Schnörr, Gabriele Steidl
2013	J	`jnl`	Higher-order Segmentation via Multicuts CoRR Jörg Hendrik Kappes, Markus Speth, Gerhard Reinelt, Christoph Schnörr
2013	J	`jnl`	Modelling Convex Shape Priors and Matching Based on the Gromov-Wasserstein Distance. J. Math. Imaging Vis. Bernhard Schmitzer, Christoph Schnörr
2013	—	`conf`	Object Segmentation by Shape Matching with Wasserstein Modes. EMMCVPR Bernhard Schmitzer, Christoph Schnörr
2013	J	`jnl`	Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem. J. Math. Imaging Vis. Jan Lellmann, Frank Lenzen, Christoph Schnörr
2013	—	`conf`	Partial Optimality via Iterative Pruning for the Potts Model. SSVM Paul Swoboda, Bogdan Savchynskyy, Jörg H. Kappes, Christoph Schnörr
2013	J	`jnl`	Phase Transitions and Cosparse Tomographic Recovery of Compound Solid Bodies from Few Projections. CoRR Andreea Denitiu, Stefania Petra, Claudius Schnörr, Christoph Schnörr
2013	J	`jnl`	Shape from Texture using Locally Scaled Point Processes. CoRR Eva-Maria Didden, Thordis Linda Thorarinsdottir, Alex Lenkoski, Christoph Schnörr
2013	A*	`conf`	Towards Efficient and Exact MAP-Inference for Large Scale Discrete Computer Vision Problems via Combinatorial Optimization. CVPR Jörg Hendrik Kappes, Markus Speth, Gerhard Reinelt, Christoph Schnörr
2013	—	`conf`	Variational Image Segmentation and Cosegmentation with the Wasserstein Distance. EMMCVPR Paul Swoboda, Christoph Schnörr
2013	J	`jnl`	Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences. Int. J. Comput. Vis. Florian Becker, Frank Lenzen, Jörg H. Kappes, Christoph Schnörr
2012	A*	`conf`	A bundle approach to efficient MAP-inference by Lagrangian relaxation. CVPR Jörg Hendrik Kappes, Bogdan Savchynskyy, Christoph Schnörr
2012	J	`jnl`	A general extending and constraining procedure for linear iterative methods. Int. J. Comput. Math. Aurelian Nicola, Stefania Petra, Constantin Popa, Christoph Schnörr
2012	J	`jnl`	Average Case Recovery Analysis of Tomographic Compressive Sensing CoRR Stefania Petra, Christoph Schnörr
2012	J	`jnl`	Corrections to "Variational Adaptive Correlation Method for Flow Estimation". IEEE Trans. Image Process. Florian Becker, Bernhard Wieneke, Stefania Petra, Andreas Schröder, Christoph Schnörr
2012	J	`jnl`	Critical Parameter Values and Reconstruction Properties of Discrete Tomography: Application to Experimental Fluid Dynamics CoRR Stefania Petra, Christoph Schnörr, Andreas Schröder
2012	J	`jnl`	Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing CoRR Bogdan Savchynskyy, Stefan Schmidt, Jörg Hendrik Kappes, Christoph Schnörr
2012	A	`conf`	Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing. UAI Bogdan Savchynskyy, Stefan Schmidt, Jörg H. Kappes, Christoph Schnörr
2012	J	`jnl`	Variational Adaptive Correlation Method for Flow Estimation. IEEE Trans. Image Process. Florian Becker, Bernhard Wieneke, Stefania Petra, Andreas Schröder, Christoph Schnörr
2011	A*	`conf`	A study of Nesterov's scheme for Lagrangian decomposition and MAP labeling. CVPR Bogdan Savchynskyy, Jörg H. Kappes, Stefan Schmidt, Christoph Schnörr
2011	J	`jnl`	Continuous Multiclass Labeling Approaches and Algorithms CoRR Jan Lellmann, Christoph Schnörr
2011	J	`jnl`	Continuous Multiclass Labeling Approaches and Algorithms. SIAM J. Imaging Sci. Jan Lellmann, Christoph Schnörr
2011	—	`conf`	Evaluation of a First-Order Primal-Dual Algorithm for MRF Energy Minimization. EMMCVPR Stefan Schmidt, Bogdan Savchynskyy, Jörg H. Kappes, Christoph Schnörr
2011	—	`conf`	Globally Optimal Image Partitioning by Multicuts. EMMCVPR Jörg H. Kappes, Markus Speth, Björn Andres, Gerhard Reinelt, Christoph Schnörr
2011	J	`jnl`	Model-Based Multiple Rigid Object Detection and Registration in Unstructured Range Data. Int. J. Comput. Vis. Dirk Breitenreicher, Christoph Schnörr
2011	J	`jnl`	Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem CoRR Jan Lellmann, Frank Lenzen, Christoph Schnörr
2011	—	`conf`	Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem. EMMCVPR Jan Lellmann, Frank Lenzen, Christoph Schnörr
2011	—	`conf`	Order Preserving and Shape Prior Constrained Intra-retinal Layer Segmentation in Optical Coherence Tomography. MICCAI (3) Fabian Rathke, Stefan Schmidt, Christoph Schnörr
2011	J	`jnl`	Sparse Template-Based variational Image Segmentation. Adv. Data Sci. Adapt. Anal. Dirk Breitenreicher, Jan Lellmann, Christoph Schnörr
2011	J	`jnl`	The Benefits of Dense Stereo for Pedestrian Detection. IEEE Trans. Intell. Transp. Syst. Christoph Gustav Keller, Markus Enzweiler, Marcus Rohrbach, David Fernández Llorca, Christoph Schnörr, Dariu M. Gavrila
2011	—	`conf`	Variational Image Denoising with Adaptive Constraint Sets. SSVM Frank Lenzen, Florian Becker, Jan Lellmann, Stefania Petra, Christoph Schnörr
2011	A*	`conf`	Variational recursive joint estimation of dense scene structure and camera motion from monocular high speed traffic sequences. ICCV Florian Becker, Frank Lenzen, Jörg H. Kappes, Christoph Schnörr
2011	—	`conf`	Weakly Convex Coupling Continuous Cuts and Shape Priors. SSVM Bernhard Schmitzer, Christoph Schnörr
2010	J	`jnl`	A Study of Parts-Based Object Class Detection Using Complete Graphs. Int. J. Comput. Vis. Martin Bergtholdt, Jörg H. Kappes, Stefan Schmidt, Christoph Schnörr
2010	—	`conf`	An Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM. DAGM-Symposium Björn Andres, Jörg H. Kappes, Ullrich Köthe, Christoph Schnörr, Fred A. Hamprecht
2010	—	`conf`	Fast and Exact Primal-Dual Iterations for Variational Problems in Computer Vision. ECCV (2) Jan Lellmann, Dirk Breitenreicher, Christoph Schnörr
2010	—	`conf`	MRF Inference by ECCV (3) Jörg H. Kappes, Stefan Schmidt, Christoph Schnörr
2010	J	`jnl`	Physically Consistent and Efficient Variational Denoising of Image Fluid Flow Estimates. IEEE Trans. Image Process. Andrey Vlasenko, Christoph Schnörr
2010	J	`jnl`	Robust 3D object registration without explicit correspondence using geometric integration. Mach. Vis. Appl. Dirk Breitenreicher, Christoph Schnörr
2009	J	`jnl`	Convex Hodge Decomposition and Regularization of Image Flows. J. Math. Imaging Vis. Jing Yuan, Christoph Schnörr, Gabriele Steidl
2009	—	`conf`	Convex Multi-class Image Labeling by Simplex-Constrained Total Variation. SSVM Jan Lellmann, Jörg H. Kappes, Jing Yuan, Florian Becker, Christoph Schnörr
2009	A*	`conf`	Convex optimization for multi-class image labeling with a novel family of total variation based regularizers. ICCV Jan Lellmann, Florian Becker, Christoph Schnörr
2009	—	`conf`	Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration without Correspondence. EMMCVPR Dirk Breitenreicher, Christoph Schnörr
2009	A*	`conf`	Spectral clustering of linear subspaces for motion segmentation. ICCV Fabien Lauer, Christoph Schnörr
2009	—	`conf`	Superresolution and Denoising of 3D Fluid Flow Estimates. DAGM-Symposium Andrey Vlasenko, Christoph Schnörr
2009	—	`conf`	Total-Variation Based Piecewise Affine Regularization. SSVM Jing Yuan, Christoph Schnörr, Gabriele Steidl
2008	—	`conf`	A Variational Approach to Adaptive Correlation for Motion Estimation in Particle Image Velocimetry. DAGM-Symposium Florian Becker, Bernhard Wieneke, Jing Yuan, Christoph Schnörr
2008	B	`conf`	Continuous graph cuts for prior-based object segmentation. ICPR Ketut Fundana, Anders Heyden, Christian Gosch, Christoph Schnörr
2008	—	`conf`	Convex Hodge Decomposition of Image Flows. DAGM-Symposium Jing Yuan, Gabriele Steidl, Christoph Schnörr
2008	—	`conf`	Decomposition of Quadratic Variational Problems. DAGM-Symposium Florian Becker, Christoph Schnörr
2008	—	`conf`	MAP-Inference for Highly-Connected Graphs with DC-Programming. DAGM-Symposium Jörg H. Kappes, Christoph Schnörr
2008	—	`conf`	On Sparsity Maximization in Tomographic Particle Image Reconstruction. DAGM-Symposium Stefania Petra, Andreas Schröder, Bernhard Wieneke, Christoph Schnörr
2008	J	`jnl`	Pedestrian Detection and Tracking Using a Mixture of View-Based Shape-Texture Models. IEEE Trans. Intell. Transp. Syst. Stefan Munder, Christoph Schnörr, Dariu M. Gavrila
2008	—	`conf`	Physically Consistent Variational Denoising of Image Fluid Flow Estimates. DAGM-Symposium Andrey Vlasenko, Christoph Schnörr
2008	—	`conf`	View Point Tracking of Rigid Objects Based on Shape Sub-manifolds. ECCV (3) Christian Gosch, Ketut Fundana, Anders Heyden, Christoph Schnörr
2007	J	`jnl`	Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation. J. Math. Imaging Vis. Jing Yuan, Christoph Schnörr, Étienne Mémin
2007	J	`jnl`	Editorial: Marr Prize and Honorable Mentions at ICCV 2005. Int. J. Comput. Vis. Christoph Schnörr
2007	J	`jnl`	Evaluation of a convex relaxation to a quadratic assignment matching approach for relational object views. Image Vis. Comput. Christian Schellewald, Stefan Roth, Christoph Schnörr
2007	—	`conf`	Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification. DAGM-Symposium Rezaul Karim, Martin Bergtholdt, Jörg H. Kappes, Christoph Schnörr
2007	J	`jnl`	Interacting and Annealing Particle Filters: Mathematics and a Recipe for Applications. J. Math. Imaging Vis. Jürgen Gall, Jürgen Potthoff, Christoph Schnörr, Bodo Rosenhahn, Hans-Peter Seidel
2007	J	`jnl`	Median and related local filters for tensor-valued images. Signal Process. Martin Welk, Joachim Weickert, Florian Becker, Christoph Schnörr, Christian Feddern, Bernhard Burgeth
2007	—	`ed.`	Pattern Recognition, 29th DAGM Symposium, Heidelberg, Germany, September 12-14, 2007, Proceedings DAGM-Symposium Fred A. Hamprecht, Christoph Schnörr, Bernd Jähne
2007	J	`jnl`	Signal and image approximation with level-set constraints. Computing Christoph Schnörr
2007	J	`jnl`	Simultaneous Higher-Order Optical Flow Estimation and Decomposition. SIAM J. Sci. Comput. Jing Yuan, Christoph Schnörr, Gabriele Steidl
2007	—	`conf`	Spine Detection and Labeling Using a Parts-Based Graphical Model. IPMI Stefan Schmidt, Jörg H. Kappes, Martin Bergtholdt, Vladimir Pekar, Sebastian P. M. Dries, Daniel Bystrov, Christoph Schnörr
2006	—	`conf`	A Benchmark Evaluation of Large-Scale Optimization Approaches to Binary Tomography. DGCI Stefan Weber, Antal Nagy, Thomas Schüle, Christoph Schnörr, Attila Kuba
2006	J	`jnl`	A Multigrid Platform for Real-Time Motion Computation with Discontinuity-Preserving Variational Methods. Int. J. Comput. Vis. Andrés Bruhn, Joachim Weickert, Timo Kohlberger, Christoph Schnörr
2006	J	`jnl`	A Multiphase Dynamic Labeling Model for Variational Recognition-driven Image Segmentation. Int. J. Comput. Vis. Daniel Cremers, Nir A. Sochen, Christoph Schnörr
2006	C	`conf`	Binary Tomography with Deblurring. IWCIA Stefan Weber, Thomas Schüle, Attila Kuba, Christoph Schnörr
2006	—	`conf`	Controlling Sparseness in Non-negative Tensor Factorization. ECCV (1) Matthias Heiler, Christoph Schnörr
2006	J	`jnl`	Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming. J. Mach. Learn. Res. Matthias Heiler, Christoph Schnörr
2006	—	`conf`	Learning of Graphical Models and Efficient Inference for Object Class Recognition. DAGM-Symposium Martin Bergtholdt, Jörg H. Kappes, Christoph Schnörr
2006	—	`conf`	On-Line Variational Estimation of Dynamical Fluid Flows with Physics-Based Spatio-temporal Regularization. DAGM-Symposium Paul Ruhnau, Annette Stahl, Christoph Schnörr
2006	—	`ch.`	Variational Segmentation with Shape Priors. Handbook of Mathematical Models in Computer Vision Martin Bergtholdt, Daniel Cremers, Christoph Schnörr
2005	—	`conf`	A Study of Non-smooth Convex Flow Decomposition. VLSM Jing Yuan, Christoph Schnörr, Gabriele Steidl, Florian Becker
2005	J	`jnl`	Adaptive Reconstruction of Discrete-Valued Objects from few Projections. Electron. Notes Discret. Math. Thomas Schüle, Stefan Weber, Christoph Schnörr
2005	J	`jnl`	Combined SVM-Based Feature Selection and Classification. Mach. Learn. Julia Neumann, Christoph Schnörr, Gabriele Steidl
2005	—	`conf`	Discontinuity-Preserving Computation of Variational Optic Flow in Real-Time. Scale-Space Andrés Bruhn, Joachim Weickert, Timo Kohlberger, Christoph Schnörr
2005	—	`conf`	Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation. Scale-Space Jing Yuan, Paul Ruhnau, Étienne Mémin, Christoph Schnörr
2005	J	`jnl`	Discrete tomography by convex-concave regularization and D.C. programming. Discret. Appl. Math. Thomas Schüle, Christoph Schnörr, Stefan Weber, Joachim Hornegger
2005	J	`jnl`	Domain decomposition for variational optical-flow computation. IEEE Trans. Image Process. Timo Kohlberger, Christoph Schnörr, Andrés Bruhn, Joachim Weickert
2005	J	`jnl`	Efficient wavelet adaptation for hybrid wavelet-large margin classifiers. Pattern Recognit. Julia Neumann, Christoph Schnörr, Gabriele Steidl
2005	A*	`conf`	Learning Non-Negative Sparse Image Codes by Convex Programming. ICCV Matthias Heiler, Christoph Schnörr
2005	J	`jnl`	Lucas/Kanade Meets Horn/Schunck: Combining Local and Global Optic Flow Methods. Int. J. Comput. Vis. Andrés Bruhn, Joachim Weickert, Christoph Schnörr
2005	—	`conf`	Matrix-Valued Filters as Convex Programs. Scale-Space Martin Welk, Florian Becker, Christoph Schnörr, Joachim Weickert
2005	J	`jnl`	Natural Image Statistics for Natural Image Segmentation. Int. J. Comput. Vis. Matthias Heiler, Christoph Schnörr
2005	J	`jnl`	Prior Learning and Convex-Concave Regularization of Binary Tomography. Electron. Notes Discret. Math. Stefan Weber, Thomas Schüle, Christoph Schnörr
2005	—	`conf`	Probabilistic Subgraph Matching Based on Convex Relaxation. EMMCVPR Christian Schellewald, Christoph Schnörr
2005	—	`conf`	Reverse-Convex Programming for Sparse Image Codes. EMMCVPR Matthias Heiler, Christoph Schnörr
2005	—	`conf`	Semidefinite Clustering for Image Segmentation with A-priori Knowledge. DAGM-Symposium Matthias Heiler, Jens Keuchel, Christoph Schnörr
2005	—	`conf`	Shape Priors and Online Appearance Learning for Variational Segmentation and Object Recognition in Static Scenes. DAGM-Symposium Martin Bergtholdt, Christoph Schnörr
2005	J	`jnl`	Variational optical flow computation in real time. IEEE Trans. Image Process. Andrés Bruhn, Joachim Weickert, Christian Feddern, Timo Kohlberger, Christoph Schnörr
2005	—	`ed.`	Variational, Geometric, and Level Set Methods in Computer Vision, Third International Workshop, VLSM 2005, Beijing, China, October 16, 2005, Proceedings VLSM Nikos Paragios, Olivier D. Faugeras, Tony Chan, Christoph Schnörr
2004	—	`conf`	A Bayesian Framework for Multi-cue 3D Object Tracking. ECCV (4) Jan Giebel, Dariu Gavrila, Christoph Schnörr
2004	C	`conf`	Binary Tomography by Iterating Linear Programs from Noisy Projections. IWCIA Stefan Weber, Thomas Schüle, Joachim Hornegger, Christoph Schnörr
2004	—	`conf`	Computerunterstützte Gefäßanalyse für die interventionelle Anwendung. Bildverarbeitung für die Medizin Marcus Prümmer, Joachim Hornegger, Christoph Schnörr
2004	—	`conf`	Convex Set-Based Estimation of Image Flows. ICPR (1) Jing Yuan, Christoph Schnörr, Timo Kohlberger, Paul Ruhnau
2004	—	`conf`	Hierarchical Image Segmentation Based on Semidefinite Programming. DAGM-Symposium Jens Keuchel, Matthias Heiler, Christoph Schnörr
2004	J	`jnl`	High performance cluster computing with 3-D nonlinear diffusion filters. Real Time Imaging Andrés Bruhn, Tobias Jakob, Markus Fischer, Timo Kohlberger, Joachim Weickert, Ulrich Brüning, Christoph Schnörr
2004	—	`conf`	Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation. ECCV (4) Daniel Cremers, Nir A. Sochen, Christoph Schnörr
2004	—	`conf`	On Variational Methods for Fluid Flow Estimation. IWCM Paul Ruhnau, Jing Yuan, Christoph Schnörr
2004	—	`conf`	Parallel Variational Motion Estimation by Domain Decomposition and Cluster Computing. ECCV (4) Timo Kohlberger, Christoph Schnörr, Andrés Bruhn, Joachim Weickert
2004	—	`conf`	SVM-Based Feature Selection by Direct Objective Minimisation. DAGM-Symposium Julia Neumann, Christoph Schnörr, Gabriele Steidl
2003	—	`conf`	A Linear Programming Approach to Limited Angle 3D Reconstruction from DSA Projections. Bildverarbeitung für die Medizin Stefan Weber, Thomas Schüle, Christoph Schnörr, Joachim Hornegger
2003	J	`jnl`	A Linear Programming Relaxation for Binary Tomography with Smoothness Priors. Electron. Notes Discret. Math. Stefan Weber, Christoph Schnörr, Joachim Hornegger
2003	J	`jnl`	Binary Partitioning, Perceptual Grouping, and Restoration with Semidefinite Programming. IEEE Trans. Pattern Anal. Mach. Intell. Jens Keuchel, Christoph Schnörr, Christian Schellewald, Daniel Cremers
2003	—	`conf`	Domain Decomposition for Parallel Variational Optical Flow Computation. DAGM-Symposium Timo Kohlberger, Christoph Schnörr, Andrés Bruhn, Joachim Weickert
2003	C	`conf`	Feasible Adaptation Criteria for Hybrid Wavelet - Large Margin Classifiers. CAIP Julia Neumann, Christoph Schnörr, Gabriele Steidl
2003	A*	`conf`	Natural Image Statistics for Natural Image Segmentation. ICCV Matthias Heiler, Christoph Schnörr
2003	C	`conf`	Real-Time Optic Flow Computation with Variational Methods. CAIP Andrés Bruhn, Joachim Weickert, Christian Feddern, Timo Kohlberger, Christoph Schnörr
2003	J	`jnl`	Shape statistics in kernel space for variational image segmentation. Pattern Recognit. Daniel Cremers, Timo Kohlberger, Christoph Schnörr
2003	J	`jnl`	Statistical shape knowledge in variational motion segmentation. Image Vis. Comput. Daniel Cremers, Christoph Schnörr
2003	J	`jnl`	Subgraph Matching with Semidefinite Programming. Electron. Notes Discret. Math. Christian Schellewald, Christoph Schnörr
2003	—	`conf`	Towards Recognition-Based Variational Segmentation Using Shape Priors and Dynamic Labeling. Scale-Space Daniel Cremers, Nir A. Sochen, Christoph Schnörr
2003	—	`conf`	Variational Dense Motion Estimation Using the Helmholtz Decomposition. Scale-Space Timo Kohlberger, Étienne Mémin, Christoph Schnörr
2003	—	`conf`	Variational dense motion estimation using a div-curl high-order regularization. ISSPA (1) Timo Kohlberger, Christoph Schnörr, Étienne Mémin
2002	—	`conf`	Combining the Advantages of Local and Global Optic Flow Methods. DAGM-Symposium Andrés Bruhn, Joachim Weickert, Christoph Schnörr
2002	—	`conf`	Designing 3-D Nonlinear Diffusion Filters for High Performance Cluster Computing. DAGM-Symposium Andrés Bruhn, Tobias Jakob, Markus Fischer, Timo Kohlberger, Joachim Weickert, Ulrich Brüning, Christoph Schnörr
2002	J	`jnl`	Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford-Shah Functional. Int. J. Comput. Vis. Daniel Cremers, Florian Tischhäuser, Joachim Weickert, Christoph Schnörr
2002	—	`conf`	Motion Competition: Variational Integration of Motion Segmentation and Shape Regularization. DAGM-Symposium Daniel Cremers, Christoph Schnörr
2002	—	`conf`	Nonlinear Shape Statistics in Mumford-Shah Based Segmentation. ECCV (2) Daniel Cremers, Timo Kohlberger, Christoph Schnörr
2002	—	`conf`	Unsupervised Image Partitioning with Semidefinite Programming. DAGM-Symposium Jens Keuchel, Christoph Schnörr, Christian Schellewald, Daniel Cremers
2001	J	`jnl`	A One-Dimensional Analog VLSI Implementation for Nonlinear Real-Time Signal Preprocessing. Real Time Imaging Klaus Wiehler, Josef Heers, Christoph Schnörr, H. Siegfried Stiehl, Rolf-Rainer Grigat
2001	J	`jnl`	A Theoretical Framework for Convex Regularizers in PDE-Based Computation of Image Motion. Int. J. Comput. Vis. Joachim Weickert, Christoph Schnörr
2001	—	`conf`	Convex Relaxations for Binary Image Partitioning and Perceptual Grouping. DAGM-Symposium Jens Keuchel, Christian Schellewald, Daniel Cremers, Christoph Schnörr
2001	—	`conf`	Evaluation of Convex Optimization Techniques for the Weighted Graph-Matching Problem in Computer Vision. DAGM-Symposium Christian Schellewald, Stefan Roth, Christoph Schnörr
2001	J	`jnl`	Fast Parallel Algorithms for a Broad Class of Nonlinear Variational Diffusion Approaches. Real Time Imaging Joachim Weickert, Josef Heers, Christoph Schnörr, Karel J. Zuiderveld, Otmar Scherzer, H. Siegfried Stiehl
2001	J	`jnl`	Globally convergent iterative numerical schemes for nonlinear variational image smoothing and segmentation on a multiprocessor machine. IEEE Trans. Image Process. Josef Heers, Christoph Schnörr, H. Siegfried Stiehl
2001	—	`conf`	Image Labeling and Grouping by Minimizing Linear Functionals over Cones. EMMCVPR Christian Schellewald, Jens Keuchel, Christoph Schnörr
2001	—	`conf`	Nonlinear Shape Statistics via Kernel Spaces. DAGM-Symposium Daniel Cremers, Timo Kohlberger, Christoph Schnörr
2001	J	`jnl`	Variational Optic Flow Computation with a Spatio-Temporal Smoothness Constraint. J. Math. Imaging Vis. Joachim Weickert, Christoph Schnörr
2000	—	`conf`	Diffusion-Snakes Using Statistical Shape Knowledge. AFPAC Daniel Cremers, Christoph Schnörr, Joachim Weickert, Christian Schellewald
2000	J	`jnl`	Medical Computer Vision - Service Page. Künstliche Intell. Christoph Schnörr, Joachim Weickert
2000	J	`jnl`	PDE - Based Preprocessing of Medical Images. Künstliche Intell. Joachim Weickert, Christoph Schnörr
2000	—	`conf`	Variational Image Motion Computation: Theoretical Framework, Problems and Perspectives. DAGM-Symposium Christoph Schnörr, Joachim Weickert
2000	—	`ch.`	Variational Methods for Adaptive Smoothing and Segmentation. Computer Vision and Applications Christoph Schnörr
1999	J	`jnl`	Parameter-Free Elastic Deformation Approach for 2D and 3D Registration Using Prescribed Displacements. J. Math. Imaging Vis. Wladimir Peckar, Christoph Schnörr, Karl Rohr, H. Siegfried Stiehl
1999	—	`conf`	Räumlich-zeitliche Berechnung des optischen Flusses mit nichtlinearen flußabhängigen Glattheitstermen. DAGM-Symposium Joachim Weickert, Christoph Schnörr
1998	—	`conf`	A Class of Parallel Algorithms for Nonlinear Variational Segmentation: A preprocess for robust feature-based image coding. NMBIA Josef Heers, Christoph Schnörr, H. Siegfried Stiehl
1998	J	`jnl`	A Study of a Convex Variational Diffusion Approach for Image Segmentation and Feature Extraction. J. Math. Imaging Vis. Christoph Schnörr
1998	—	`conf`	Investigation of Parallel and Globally Convergent Iterative Schemes for Nonlinear Variational Image Smoothing and Segmentation. ICIP (3) Josef Heers, Christoph Schnörr, H. Siegfried Stiehl
1998	A	`conf`	Non-Rigid Image Registration Using a Parameter-Free Elastic Model. BMVC Wladimir Peckar, Christoph Schnörr, Karl Rohr, H. Siegfried Stiehl
1998	—	`conf`	Parallele und global konvergente iterative Minimierung nichtlinearer Variationsansätze zur adaptiven Glättung und Segmentation von Bildern. DAGM-Symposium Josef Heers, Christoph Schnörr, H. Siegfried Stiehl
1998	—	`conf`	Real-Time Adaptive Smoothing with a 1-D Nonlinear Relaxation. DAGM-Symposium Klaus Wiehler, Rolf-Rainer Grigat, Josef Heers, Christoph Schnörr, H. Siegfried Stiehl
1997	A*	`conf`	A robust and convergent iterative approach for determining the dominant plane from two views without correspondence and calibration. CVPR Pär Fornland, Christoph Schnörr
1997	—	`conf`	Two-Step Parameter-Free Elastic Image Registration with Prescribed Point Displacements. ICIAP (1) Wladimir Peckar, Christoph Schnörr, Karl Rohr, H. Siegfried Stiehl
1996	—	`conf`	Repräsentation von Bilddaten mit einem konvexen Variationsansatz. DAGM-Symposium Christoph Schnörr
1995	C	`conf`	Motion-Based Identification of Deformable Templates. CAIP Christoph Schnörr, Wladimir Peckar
1994	—	`conf`	A Variational Approach to the Design of Early Vision Algorithms. Theoretical Foundations of Computer Vision Christoph Schnörr, Rainer Sprengel, Bernd Neumann
1994	J	`jnl`	A nonlinear regularization approach to early vision. Biol. Cybern. Christoph Schnörr, Rainer Sprengel
1994	—	`conf`	Learning motion trajectories via self-organization. ICPR (2) Jukka Heikkonen, Pasi Koikkalainen, Christoph Schnörr
1994	—	`conf`	Segmentation of visual motion by minimizing convex non-quadratic functionals. ICPR (1) Christoph Schnörr
1994	J	`jnl`	Unique reconstruction of piecewise-smooth images by minimizing strictly convex nonquadratic functionals. J. Math. Imaging Vis. Christoph Schnörr
1993	J	`jnl`	An efficient approach to the identification of characteristic intensity variations. Image Vis. Comput. Karl Rohr, Christoph Schnörr
1993	Misc	`conf`	Architekturkonzepte zur Bildauswertung. KI Christoph Schnörr, Heinrich Niemann, Jörg Kopecz
1993	—	`conf`	Nichtlineare Diffusion zur Integration visueller Daten-Anwendung auf Kernspintomogramme. DAGM-Symposium Rainer Sprengel, Christoph Schnörr
1993	J	`jnl`	On Functionals with Greyvalue-Controlled Smoothness Terms for Determining Optical Flow. IEEE Trans. Pattern Anal. Mach. Intell. Christoph Schnörr
1992	J	`jnl`	Computation of discontinuous optical flow by domain decomposition and shape optimization. Int. J. Comput. Vis. Christoph Schnörr
1992	—	`conf`	Ein Ansatz zur effizienten und eindeutigen Rekonstruktion stückweise glatter Funktionen. DAGM-Symposium Christoph Schnörr, Bernd Neumann
1991	J	`jnl`	Determining optical flow for irregular domains by minimizing quadratic functionals of a certain class. Int. J. Comput. Vis. Christoph Schnörr
1991	—	`—`	Funktionalanalytische Methoden zur Gewinnung von Bewegungsinformation aus TV-Bildfolgen. Christoph Schnörr
1990	—	`conf`	Automatische Bestimmung der Trajektorien von sich bewegenden Objekten aus einer Bildfolge. DAGM-Symposium D. Bister, Karl Rohr, Christoph Schnörr
1990	A	`conf`	Computation of discontinous optical flow by domain decomposition and shape optimization. BMVC Christoph Schnörr
1989	—	`conf`	Zur Schätzung von Geschwindigkeitsvektorferldern in Bildfolgen mit einer richtungsabhängigen Glattheitsforderung. DAGM-Symposium Christoph Schnörr