C. Schnörr

发表

Lucas/Kanade meets Horn/Schunck: combining local and global optic flow methods

J. Weickert, Andrés Bruhn, C. Schnörr, 2005 .

Learning of Graphical Models and Efficient Inference for Object Class Recognition

Christoph Schnörr, Jörg H. Kappes, Martin Bergtholdt, 2006, DAGM-Symposium.

A Multiphase Dynamic Labeling Model for Variational Recognition-driven Image Segmentation

Daniel Cremers, Christoph Schnörr, Nir A. Sochen, 2005, International Journal of Computer Vision.

Towards Recognition-Based Variational Segmentation Using Shape Priors and Dynamic Labeling

Daniel Cremers, Christoph Schnörr, Nir A. Sochen, 2003, Scale-Space.

Convex variational segmentation of multi-channel images

C. Schnörr, 1996 .

Assignment Flows

C. Schnörr, 2020, Handbook of Variational Methods for Nonlinear Geometric Data.

Variational Correlation Approach to Flow Measurement with Window Adaption

C. Schnörr, Florian Becker, B. Wieneke, 2008 .

Multicuts and Perturb & MAP for Probabilistic Graph Clustering

Christoph Schnörr, Tamir Hazan, Bogdan Savchynskyy, 2016, Journal of Mathematical Imaging and Vision.

Assignment Flows for Data Labeling on Graphs: Convergence and Stability pdf

Christoph Schnörr, Artjom Zern, Alexander Zeilmann, 2020, Information Geometry.

A Local Spatio-Temporal Approach to Plane Wave Ultrasound Particle Image Velocimetry

Christoph Schnörr, Stefania Petra, Ecaterina Bodnariuc, 2017, GCPR.

Assignment Flow for Order-Constrained OCT Segmentation pdf

Christoph Schnörr, Dmitrij Sitenko, Bastian Boll, 2020, International Journal of Computer Vision.

A Distributed-Parameter Approach to Dynamic Image Motion

C. Schnörr, Annette Stahl, P. Ruhnau, 2022 .

A study of Nesterov's scheme for Lagrangian decomposition and MAP labeling

Christoph Schnörr, Bogdan Savchynskyy, Stefan Schmidt, 2011, CVPR 2011.

Adaptive Dictionary-Based Spatio-temporal Flow Estimation for Echo PIV

Christoph Schnörr, Stefania Petra, Ecaterina Bodnariuc, 2015, EMMCVPR.

A Study of Parts-Based Object Class Detection Using Complete Graphs

Christoph Schnörr, Stefan Schmidt, Jörg H. Kappes, 2010, International Journal of Computer Vision.

Nonlinear Shape Statistics in Mumford-Shah Based Segmentation

Daniel Cremers, Timo Kohlberger, Christoph Schnörr, 2002, ECCV.

Lucas/Kanade Meets Horn/Schunck: Combining Local and Global Optic Flow Methods

Joachim Weickert, Christoph Schnörr, Andrés Bruhn, 2005, International Journal of Computer Vision.

ANALYSIS OF OPTICAL FLOW MODELS IN THE FRAMEWORK OF THE CALCULUS OF VARIATIONS

O. Scherzer, J. Weickert, C. Schnörr, 2002 .

Variational Optic Flow Computation with a Spatio-Temporal Smoothness Constraint

Joachim Weickert, Christoph Schnörr, J. Weickert, 2001, Journal of Mathematical Imaging and Vision.

A Theoretical Framework for Convex Regularizers in PDE-Based Computation of Image Motion

Joachim Weickert, Christoph Schnörr, J. Weickert, 2001, International Journal of Computer Vision.

A Multigrid Platform for Real-Time Motion Computation with Discontinuity-Preserving Variational Methods

Timo Kohlberger, Joachim Weickert, Christoph Schnörr, 2006, International Journal of Computer Vision.

Binary Tomography by Iterating Linear Programs

C. Schnörr, J. Hornegger, Stefan Weber, 2006 .

A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems

Sebastian Nowozin, Nikos Komodakis, Christoph Schnörr, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Optical Stokes flow estimation: an imaging-based control approach

C. Schnörr, P. Ruhnau, 2006 .

Optical Stokes Flow Estimation: An Imaging‐Based Control Approach

C. Schnörr, P. Ruhnau, 2006 .

Regularizers for Vector – Valued Data and Labeling Problems in Image Processing

C. Schnörr, J. Lellmann, 2011 .

Learning Arbitrary Sum-Product Network Leaves with Expectation-Maximization

C. Schnörr, Mattia Desana, 2016 .

Diffusion-Snakes Using Statistical Shape Knowledge

D. Cremers, J. Weickert, C. Schnörr, 2000, Algebraic Frames for the Perception-Action Cycle.

Performance Evaluation of a Convex Relaxation Approach to the Quadratic Assignment of Relational Object Views

S. Roth, C. Schnörr, C. Schellewald, 2002 .

Variational estimation of experimental fluid flows with physics-based spatio-temporal regularization

C. Schnörr, Annette Stahl, P. Ruhnau, 2007 .

Optical Stokes Flow: An Imaging-Based Control Approach

C. Schnörr, P. Ruhnau, 2006 .

Informatik 3 / 2005 Domain Decomposition for Nonlinear Problems : A Control-Theoretic Approach

J. Weickert, Andrés Bruhn, C. Schnörr, 2022 .

Optic flow calculations with nonlinear smoothness terms extended into the temporal domain

J. Weickert, C. Schnörr, 1999 .

TomoPIV Meets Compressed Sensing

C. Schnörr, S. Petra, Stefania Petra, 2010 .

Effectively Finding the Optimal Wavelet for Hybrid Wavelet - Large Margin Signal Classification

Gabriele Steidl, Julia Neumann, Christoph Schnörr, 2003 .

Efficient graph cuts for unsupervised image segmentation using probabilistic sampling and SVD-based approximation

Christoph Schnörr, Jens Keuchel, J. Keuchel, 2003 .

Fast Parallel Algorithms for a Broad Class of Nonlinear Variational Diffusion Approaches

Joachim Weickert, Christoph Schnörr, H. Siegfried Stiehl, 2001, Real Time Imaging.

Proceedings of the Third international conference on Variational, Geometric, and Level Set Methods in Computer Vision

Nikos Paragios, Olivier Faugeras, Christoph Schnörr, 2005 .

Learning Translation Invariant Shape Knowledge for Steering Diffusion-Snakes

D. Cremers, J. Weickert, C. Schnörr, 2000 .

Accelerating Constrained SIRTwith Applications in Tomographic Particle Image Reconstruction

C. Popa, C. Schnörr, S. Petra, 2009 .

Report on Filter Bank Design for Local Fluid Motion Estimation

C. Schnörr, Florian Becker, Jing Yuan, 2005 .

A Nonlocal Graph-PDE and Higher-Order Geometric Integration for Image Labeling

C. Schnörr, Dmitrij Sitenko, Bastian Boll, 2022, ArXiv.

Convex set-based estimation of image flows

C. Schnörr, Jing Yuan, P. Ruhnau, 2004, ICPR 2004.

Assignment Flow for Order-Constrained OCT Segmentation

C. Schnörr, Dmitrij Sitenko, Bastian Boll, 2021, Int. J. Comput. Vis..

Learning Translation Invariant Shape Knowledge for Steering Diffusion-Snakes

D. Cremers, J. Weickert, C. Schnörr, 2000 .

A Fast Global Optimization-Based Approach to Evolving Contours with Generic Shape Prior

C. Schnörr, A. Fenster, E. Ukwatta, 2012 .

Proceedings of the 29th DAGM conference on Pattern recognition

Bernd Jähne, Christoph Schnörr, Fred A. Hamprecht, 2007 .

A Nonlocal Graph-PDE and Higher-Order Geometric Integration for Image Labeling

C. Schnörr, Dmitrij Sitenko, Bastian Boll, 2022, SIAM J. Imaging Sci..

4. Rotation invariance in exemplar-based image inpainting

Christoph Schnörr, Gabriel Peyré, Massimo Fornasier, 2016 .

Variational methods in imaging and geometric control

Christoph Schnörr, Gabriel Peyré, Thomas Haberkorn, 2016 .

Whitening Convergence Rate of Coupling-based Normalizing Flows

U. Köthe, C. Schnörr, Felix Draxler, 2022, NeurIPS.

A class of quasi-variational inequalities for adaptive image denoising and decomposition

C. Schnörr, Frank Lenzen, Florian Becker, 2012, Computational Optimization and Applications.

Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem

C. Schnörr, Frank Lenzen, J. Lellmann, 2011, Journal of Mathematical Imaging and Vision.

COMPRESSED MOTION SENSING IN TOMO PIV

C. Schnörr, S. Laizet, D. Heitz, 2016 .

Reconstruction Properties of Sensing Matrices inTomographic Particle Imaging Velocimetry

C. Schnörr, A. Schröder, Stefania Petra, 2011 .

Controlling Sparseness in Non-negative Tensor Factorization

Christoph Schnörr, Matthias Heiler, C. Schnörr, 2006, ECCV.

Reverse-Convex Programming for Sparse Image Codes

Christoph Schnörr, Matthias Heiler, C. Schnörr, 2005, EMMCVPR.

Variational fluid flow measurements from image sequences: synopsis and perspectives

Christoph Schnörr, Etienne Mémin, Dominique Heitz, 2010 .

Variational Methods for Adaptive Smoothing and Segmentation

Christoph Schnörr, C. Schnörr, 2000, Computer Vision and Applications.

Unique reconstruction of piecewise-smooth images by minimizing strictly convex nonquadratic functionals

Christoph Schnörr, C. Schnörr, 1994, Journal of Mathematical Imaging and Vision.

A nonlinear regularization approach to early vision

Christoph Schnörr, Rainer Sprengel, C. Schnörr, 1994, Biological Cybernetics.

Prior Learning and Convex-Concave Regularization of Binary Tomography

Christoph Schnörr, Stefan Weber, Thomas Schüle, 2005, Electron. Notes Discret. Math..

Binary Partitioning, Perceptual Grouping, and Restoration with Semidefinite Programming

Daniel Cremers, Christoph Schnörr, Christian Schellewald, 2003, IEEE Trans. Pattern Anal. Mach. Intell..

Superiorization vs. Accelerated Convex Optimization: The Superiorized/Regularized Least-Squares Case

Y. Censor, C. Schnörr, Stefania Petra, 2019, Journal of Applied and Numerical Optimization.

Solving QVIs for Image Restoration with Adaptive Constraint Sets pdf

Christoph Schnörr, Florian Becker, Jan Lellmann, 2014, ArXiv.

B-SMART: Bregman-Based First-Order Algorithms for Non-negative Compressed Sensing Problems

Christoph Schnörr, Florian Becker, Stefania Petra, 2013, SSVM.

Interacting and Annealing Particle Filters: Mathematics and a Recipe for Applications

Hans-Peter Seidel, Bodo Rosenhahn, Christoph Schnörr, 2007, Journal of Mathematical Imaging and Vision.

A Bayesian Framework for Multi-cue 3D Object Tracking

Dariu Gavrila, Christoph Schnörr, Jan Giebel, 2004, ECCV.

Discrete and Continuous Models for Partitioning Problems

Christoph Schnörr, Björn Lellmann, Jan Lellmann, 2013, International Journal of Computer Vision.

A Geometric Approach to Color Image Regularization

Freddie Åström, Christoph Schnörr, C. Schnörr, 2016, ArXiv.

Variational Image Motion Computation: Theoretical Framework, Problems and Perspectives

Joachim Weickert, Christoph Schnörr, J. Weickert, 2000, DAGM-Symposium.

Natural Image Statistics for Natural Image Segmentation

Christoph Schnörr, Matthias Heiler, C. Schnörr, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

Efficient wavelet adaptation for hybrid wavelet-large margin classifiers

Gabriele Steidl, Julia Neumann, Christoph Schnörr, 2005, Pattern Recognit..

Feasible Adaptation Criteria for Hybrid Wavelet - Large Margin Classifiers

Gabriele Steidl, Julia Neumann, Christoph Schnörr, 2003, CAIP.

Joachim Weickert, Martin Welk, Bernhard Burgeth, 2007, Signal Process..

Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford-Shah Functional

Daniel Cremers, Joachim Weickert, Christoph Schnörr, 2002, International Journal of Computer Vision.

Statistical shape knowledge in variational motion segmentation

Daniel Cremers, Christoph Schnörr, D. Cremers, 2003, Image Vis. Comput..

Motion Competition: Variational Integration of Motion Segmentation and Shape Regularization

Daniel Cremers, Christoph Schnörr, D. Cremers, 2002, DAGM-Symposium.

Globally Optimal Image Partitioning by Multicuts

Gerhard Reinelt, Christoph Schnörr, Jörg H. Kappes, 2011, EMMCVPR.

Robust 3D object registration without explicit correspondence using geometric integration

Christoph Schnörr, Dirk Breitenreicher, C. Schnörr, 2010, Machine Vision and Applications.

Image Labeling by Assignment

Freddie Åström, Christoph Schnörr, Stefania Petra, 2016, Journal of Mathematical Imaging and Vision.

Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts

Christoph Schnörr, Tamir Hazan, Bogdan Savchynskyy, 2015, SSVM.

A Study of a Convex Variational Diffusion Approach for Image Segmentation and Feature Extraction

Christoph Schnörr, C. Schnörr, 1998, Journal of Mathematical Imaging and Vision.

Second Order Minimum Energy Filtering on $${\text {SE}}_{3}$$ with Nonlinear Measurement Equations

Christoph Schnörr, Florian Becker, Johannes Berger, 2015, SSVM.

High performance cluster computing with 3-D nonlinear diffusion filters

Timo Kohlberger, Joachim Weickert, Christoph Schnörr, 2004, Real Time Imaging.

Double-Opponent Vectorial Total Variation

Freddie Åström, Christoph Schnörr, C. Schnörr, 2016, ECCV.

A Geometric Approach to Image Labeling

Freddie Åström, Christoph Schnörr, Stefania Petra, 2016, ECCV.

The Assignment Manifold: A Smooth Model for Image Labeling

Freddie Åström, Christoph Schnörr, Stefania Petra, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Non-Binary Discrete Tomography by Continuous Non-Convex Optimization

Christoph Schnörr, Claudius Schnörr, Stefania Petra, 2016, IEEE Transactions on Computational Imaging.

On coupled regularization for non-convex variational image enhancement

Freddie Åström, Christoph Schnörr, C. Schnörr, 2015, 2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR).

Solving Quasi-Variational Inequalities for Image Restoration with Adaptive Constraint Sets

Christoph Schnörr, Florian Becker, Jan Lellmann, 2014, SIAM J. Imaging Sci..

Computational Optimization and Applications Manuscript No. a Class of Quasi-variational Inequalities for Adaptive Image Denoising and Decomposition

Christoph Schnörr, Florian Becker, Stefania Petra, 2022 .

Convex Variational Image Restoration with Histogram Priors pdf

Christoph Schnörr, Paul Swoboda, C. Schnörr, 2013, SIAM J. Imaging Sci..

Convex Hodge Decomposition and Regularization of Image Flows

Jing Yuan, Gabriele Steidl, Christoph Schnörr, 2009, Journal of Mathematical Imaging and Vision.

Convex Multi-class Image Labeling by Simplex-Constrained Total Variation

Jing Yuan, Christoph Schnörr, Florian Becker, 2009, SSVM.

Convex Hodge Decomposition of Image Flows

Jing Yuan, Gabriele Steidl, Christoph Schnörr, 2008, DAGM-Symposium.

Variational Segmentation with Shape Priors

Daniel Cremers, Christoph Schnörr, Martin Bergtholdt, 2006, Handbook of Mathematical Models in Computer Vision.

Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation

Daniel Cremers, Christoph Schnörr, Nir A. Sochen, 2004, ECCV.

Unsupervised Image Partitioning with Semidefinite Programming

Daniel Cremers, Christoph Schnörr, Christian Schellewald, 2002, DAGM-Symposium.

Convex Relaxations for Binary Image Partitioning and Perceptual Grouping

Daniel Cremers, Christoph Schnörr, Christian Schellewald, 2001, DAGM-Symposium.

Nonlinear Shape Statistics via Kernel Spaces

Daniel Cremers, Timo Kohlberger, Christoph Schnörr, 2001, DAGM-Symposium.

Self-Assignment Flows for Unsupervised Data Labeling on Graphs

C. Schnörr, Artjom Zern, Matthias Zisler, 2019, SIAM J. Imaging Sci..

Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation

Jing Yuan, Christoph Schnörr, Étienne Mémin, 2005, Journal of Mathematical Imaging and Vision.

Parameter-Free Elastic Deformation Approach for 2D and 3D Registration Using Prescribed Displacements

Karl Rohr, Christoph Schnörr, H. Siegfried Stiehl, 1999, Journal of Mathematical Imaging and Vision.

Non-Rigid Image Registration Using a Parameter-Free Elastic Model

Karl Rohr, Christoph Schnörr, H. Siegfried Stiehl, 1998, BMVC.

Two-Step Parameter-Free Elastic Image Registration with Prescribed Point Displacements

Karl Rohr, Christoph Schnörr, H. Siegfried Stiehl, 1997, ICIAP.

Evaluation of Convex Optimization Techniques for the Weighted Graph-Matching Problem in Computer Vision

Christoph Schnörr, Stefan Roth, Christian Schellewald, 2001, DAGM-Symposium.

A bundle approach to efficient MAP-inference by Lagrangian relaxation

Christoph Schnörr, Bogdan Savchynskyy, Jörg H. Kappes, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Combined SVM-Based Feature Selection and Classification

Gabriele Steidl, Julia Neumann, Christoph Schnörr, 2005, Machine Learning.

Estimating Vehicle Ego-Motion and Piecewise Planar Scene Structure from Optical Flow in a Continuous Framework

Christoph Schnörr, Florian Becker, Johannes Berger, 2015, GCPR.

Model-Based Multiple Rigid Object Detection and Registration in Unstructured Range Data

Christoph Schnörr, Dirk Breitenreicher, C. Schnörr, 2011, International Journal of Computer Vision.

Pedestrian Detection and Tracking Using a Mixture of View-Based Shape–Texture Models

Dariu Gavrila, Christoph Schnörr, Stefan Munder, 2008, IEEE Transactions on Intelligent Transportation Systems.

A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems

Sebastian Nowozin, Nikos Komodakis, Christoph Schnörr, 2014, International Journal of Computer Vision.

Globally Optimal Joint Image Segmentation and Shape Matching Based on Wasserstein Modes

Christoph Schnörr, Bernhard Schmitzer, Bernhard Schmitzer, 2014, Journal of Mathematical Imaging and Vision.

Sum–product graphical models

Christoph Schnörr, Mattia Desana, C. Schnörr, 2017, Machine Learning.

COAL: a generic modelling and prototyping framework for convex optimization problems of variational image analysis

Christoph Schnörr, Jan Lellmann, Dirk Breitenreicher, 2013, Optim. Methods Softw..

Simultaneous Higher-Order Optical Flow Estimation and Decomposition

Jing Yuan, Gabriele Steidl, Christoph Schnörr, 2007, SIAM J. Sci. Comput..

Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming

Christoph Schnörr, Matthias Heiler, C. Schnörr, 2006, J. Mach. Learn. Res..

A Study of Non-smooth Convex Flow Decomposition

Jing Yuan, Gabriele Steidl, Christoph Schnörr, 2005, VLSM.

Domain decomposition for variational optical-flow computation

Timo Kohlberger, Joachim Weickert, Christoph Schnörr, 2005, IEEE Transactions on Image Processing.

Universität Des Saarlandes Fachrichtung 6.1 – Mathematik Variational Optic Flow Computation in Real-time Variational Optic Flow Computation in Real-time

Timo Kohlberger, Joachim Weickert, Christoph Schnörr, 2022 .

Discontinuity-Preserving Computation of Variational Optic Flow in Real-Time

Timo Kohlberger, Joachim Weickert, Christoph Schnörr, 2005, Scale-Space.

Parallel Variational Motion Estimation by Domain Decomposition and Cluster Computing

Timo Kohlberger, Joachim Weickert, Christoph Schnörr, 2004, ECCV.

Domain Decomposition for Parallel Variational Optical Flow Computation

Timo Kohlberger, Joachim Weickert, Christoph Schnörr, 2003, DAGM-Symposium.

Real-Time Optic Flow Computation with Variational Methods

Timo Kohlberger, Joachim Weickert, Christoph Schnörr, 2003, CAIP.

Determining optical flow for irregular domains by minimizing quadratic functionals of a certain class

Christoph Schnörr, C. Schnörr, 1991, International Journal of Computer Vision.

Shape statistics in kernel space for variational image segmentation

Daniel Cremers, Timo Kohlberger, Christoph Schnörr, 2003, Pattern Recognit..

Probabilistic intra-retinal layer segmentation in 3-D OCT images using global shape regularization

Christoph Schnörr, Stefan Schmidt, Fabian Rathke, 2014, Medical Image Anal..

A Hierarchical Approach to Optimal Transport

Christoph Schnörr, Bernhard Schmitzer, Bernhard Schmitzer, 2013, SSVM.

Multi-view Monocular Depth and Uncertainty Prediction with Deep SfM in Dynamic Environments

Christoph Schnorr, Christian Homeyer, Oliver Lange, 2022, ICPRAI.

Variational optical flow estimation for particle image velocimetry

Timo Kohlberger, Christoph Schnörr, Paul Ruhnau, 2005 .

Quantifying Uncertainty of Image Labelings Using Assignment Flows

Christoph Schnörr, Alexander Zeilmann, Daniel Gonzalez-Alvarado, 2021, GCPR.

Discrete tomography by convex-concave regularization and D.C. programming

Christoph Schnörr, Joachim Hornegger, Stefan Weber, 2005, Discret. Appl. Math..

On Variational Methods for Fluid Flow Estimation

Jing Yuan, Christoph Schnörr, Paul Ruhnau, 2004, IWCM.

Contour Manifolds and Optimal Transport pdf

Christoph Schnörr, Bernhard Schmitzer, Bernhard Schmitzer, 2013, ArXiv.

Semidefinite Clustering for Image Segmentation with A-priori Knowledge

Christoph Schnörr, Matthias Heiler, Jens Keuchel, 2005, DAGM-Symposium.

Learning Linearized Assignment Flows for Image Labeling

C. Schnörr, Alexander Zeilmann, Stefania Petra, 2021, Journal of Mathematical Imaging and Vision.

Riemannian SOS-Polynomial Normalizing Flows

U. Köthe, Jonathan Schwarz, C. Schnörr, 2021, GCPR.

Assignment flows for data labeling on graphs: convergence and stability pdf

Christoph Schnörr, Artjom Zern, Alexander Zeilmann, 2020, Information Geometry.

Modelling Convex Shape Priors and Matching Based on the Gromov-Wasserstein Distance

Christoph Schnörr, Bernhard Schmitzer, Bernhard Schmitzer, 2013, Journal of Mathematical Imaging and Vision.

Learning Linear Assignment Flows for Image Labeling via Exponential Integration

Christoph Schnörr, Stefania Petra, Alexander Zeilmann, 2021, SSVM.

Ieee Transactions on Intelligent Transportation Systems the Benefits of Dense Stereo for Pedestrian Detection

Dariu Gavrila, Marcus Rohrbach, David Fernández Llorca, 2022 .

Weakly Convex Coupling Continuous Cuts and Shape Priors

Christoph Schnörr, Bernhard Schmitzer, Bernhard Schmitzer, 2011, SSVM.

Continuous Multiclass Labeling Approaches and Algorithms pdf

Christoph Schnörr, Jan Lellmann, C. Schnörr, 2011, SIAM J. Imaging Sci..

Probabilistic Subgraph Matching Based on Convex Relaxation

Christoph Schnörr, Christian Schellewald, C. Schnörr, 2005, EMMCVPR.

Spine Detection and Labeling Using a Parts-Based Graphical Model

Sebastian P. M. Dries, Christoph Schnörr, Daniel Bystrov, 2007, IPMI.

Towards Efficient and Exact MAP-Inference for Large Scale Discrete Computer Vision Problems via Combinatorial Optimization

Gerhard Reinelt, Christoph Schnörr, Jörg H. Kappes, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Higher-order segmentation via multicuts

Gerhard Reinelt, Christoph Schnörr, Jörg H. Kappes, 2013, Comput. Vis. Image Underst..

Quantum State Assignment Flows

C. Schnörr, Dmitrij Sitenko, Bastian Boll, 2023, SSVM.

Spatially Regularized Geometric Assignment for Unsupervised Label Learning on Manifolds

Christoph Schnörr, Stefania Petra, Matthias Zisler, 2019, PAMM.

Unsupervised Assignment Flow: Label Learning on Feature Manifolds by Spatially Regularized Geometric Assignment

Christoph Schnörr, Stefania Petra, Matthias Zisler, 2019, Journal of Mathematical Imaging and Vision.

Unsupervised Label Learning on Manifolds by Spatially Regularized Geometric Assignment

Freddie Åström, Christoph Schnörr, Stefania Petra, 2018, GCPR.

Fast multivariate log-concave density estimation

Fabian Rathke, Christoph Schnörr, C. Schnörr, 2018, Comput. Stat. Data Anal..

Globally optimal segmentation of cell nuclei in fluorescence microscopy images using shape and intensity information

L Kostrykin, C Schnörr, K Rohr, 2019, Medical Image Anal..

Variational Image Segmentation and Cosegmentation with the Wasserstein Distance

Christoph Schnörr, Paul Swoboda, C. Schnörr, 2013, EMMCVPR.

Continuous graph cuts for prior-based object segmentation

Christoph Schnörr, Anders Heyden, Ketut Fundana, 2008, 2008 19th International Conference on Pattern Recognition.

View Point Tracking of Rigid Objects Based on Shape Sub-manifolds

Christoph Schnörr, Anders Heyden, Ketut Fundana, 2008, ECCV.

Shape Priors and Online Appearance Learning for Variational Segmentation and Object Recognition in Static Scenes

Christoph Schnörr, Martin Bergtholdt, C. Schnörr, 2005, DAGM-Symposium.

Numerical Integration of Riemannian Gradient Flows for Image Labeling

Freddie Åström, Christoph Schnörr, Fabrizio Savarino, 2017, SSVM.

Learning Adaptive Regularization for Image Labeling Using Geometric Assignment pdf

R. Hühnerbein, F. Savarino, S. Petra, 2019, Journal of Mathematical Imaging and Vision.

Segmentation of cell nuclei using intensity-based model fitting and sequential convex programming

Karl Rohr, Christoph Schnörr, Leonid Kostrykin, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Segmentation of cell structures using Model-Based Set Covering with iterative reweighting

Karl Rohr, Rainer König, Christoph Schnörr, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Geometric numerical integration of the assignment flow

Stefania Petra, Fabrizio Savarino, Alexander Zeilmann, 2018, Inverse Problems.

Adaptive Reconstruction of Discrete-Valued Objects from few Projections

Christoph Schnörr, Stefan Weber, Thomas Schüle, 2005, Electron. Notes Discret. Math..

A Linear Programming Relaxation for Binary Tomography with Smoothness Priors

Christoph Schnörr, Joachim Hornegger, Stefan Weber, 2003, Electron. Notes Discret. Math..

A Linear Programming Approach to Limited Angle 3D Reconstruction from DSA Projections

Christoph Schnörr, Joachim Hornegger, Stefan Weber, 2004, Methods of Information in Medicine.

Variational Reconstruction with DC-Programming

Christoph Schnörr, Stefan Weber, Thomas Schüle, 2007 .

Signal and image approximation with level-set constraints

Christoph Schnörr, C. Schnörr, 2007, Computing.

Characterizing the Role of a Single Coupling Layer in Affine Normalizing Flows

U. Köthe, Jonathan Schwarz, C. Schnörr, 2021, GCPR.

Efficient Feature Subset Selection for Support Vector Machines

Daniel Cremers, Christoph Schnörr, Matthias Heiler, 2001 .

Natural Image Statistics for Natural Image Segmentation

C. Schnörr, M. Heiler, 2003, Int. J. Comput. Vis..

An Entropic Perturbation Approach to TV-Minimization for Limited-Data Tomography

Christoph Schnörr, Claudius Schnörr, Stefania Petra, 2014, DGCI.

Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing

Christoph Schnörr, Bogdan Savchynskyy, Stefan Schmidt, 2012, UAI.

Second-Order Recursive Filtering on the Rigid-Motion Lie Group $${\text {SE}}_{3}$$SE3 Based on Nonlinear Observations

C. Schnörr, Frank Lenzen, Florian Becker, 2017, Journal of Mathematical Imaging and Vision.

Symmetry-free SDP Relaxations for Affine Subspace Clustering pdf

Gerhard Reinelt, Christoph Schnörr, Francesco Silvestri, 2016, ArXiv.

Spectral clustering of linear subspaces for motion segmentation

Christoph Schnörr, Fabien Lauer, C. Schnörr, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Approximate variational inference based on a finite sample of Gaussian latent variables

Christoph Schnörr, Nikolaos Gianniotis, Christian Molkenthin, 2015, Pattern Analysis and Applications.

Hierarchical Image Segmentation Based on Semidefinite Programming

Christoph Schnörr, Matthias Heiler, Jens Keuchel, 2004, DAGM-Symposium.

A Benchmark Evaluation of Large-Scale Optimization Approaches to Binary Tomography

Attila Kuba, Christoph Schnörr, Stefan Weber, 2006, DGCI.

Computation of discontinuous optical flow by domain decomposition and shape optimization

Christoph Schnörr, C. Schnörr, 1992, International Journal of Computer Vision.

Diffusion-snakes: combining statistical shape knowledge and image information in a variational framework

D. Cremers, J. Weickert, C. Schnörr, 2001, Proceedings IEEE Workshop on Variational and Level Set Methods in Computer Vision.

Phase Transitions and Cosparse Tomographic Recovery of Compound Solid Bodies from Few Projections pdf

Christoph Schnörr, Claudius Schnörr, Stefania Petra, 2013, Fundam. Informaticae.

Optical Flow

Christoph Schnörr, Florian Becker, Stefania Petra, 2015, Handbook of Mathematical Methods in Imaging.

On Certified Generalization in Structured Prediction

C. Schnörr, Bastian Boll, 2023, ArXiv.

Shape from Texture using Locally Scaled Point Processes pdf

Christoph Schnörr, Alex Lenkoski, Eva-Maria Didden, 2013, ArXiv.

Telemicroscopy stations for telepathology based on broadband and ISDN connections.

P Schwarzmann, C Schnörr, C. Schnörr, 1995, Archives d'anatomie et de cytologie pathologiques.

Subgraph Matching with Semidefinite Programming

Christoph Schnörr, Christian Schellewald, C. Schnörr, 2003, Electron. Notes Discret. Math..

Discrete Tomography by Continuous Multilabeling Subject to Projection Constraints

Christoph Schnörr, Claudius Schnörr, Stefania Petra, 2016, GCPR.

TomoGC: Binary Tomography by Constrained GraphCuts

Christoph Schnörr, Stefania Petra, Jörg H. Kappes, 2015, GCPR.

Partial Optimality via Iterative Pruning for the Potts Model

Christoph Schnörr, Bogdan Savchynskyy, Jörg H. Kappes, 2013, SSVM.

Evaluation of a First-Order Primal-Dual Algorithm for MRF Energy Minimization

Christoph Schnörr, Bogdan Savchynskyy, Stefan Schmidt, 2011, EMMCVPR.

A Computational Approach to Log-Concave Density Estimation

C. Schnörr, Fabian Rathke, 2015 .

Locally Adaptive Probabilistic Models for Global Segmentation of Pathological OCT Scans

Christoph Schnörr, Fabian Rathke, Mattia Desana, 2017, MICCAI.

Variational Dense Motion Estimation Using the Helmholtz Decomposition

Timo Kohlberger, Christoph Schnörr, Étienne Mémin, 2003, Scale-Space.

Investigation of parallel and globally convergent iterative schemes for nonlinear variational image smoothing and segmentation

Christoph Schnörr, H. Siegfried Stiehl, Josef Heers, 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

Partial Optimality by Pruning for MAP-Inference with General Graphical Models

Christoph Schnörr, Bogdan Savchynskyy, Jörg H. Kappes, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation

Christoph Schnörr, Bogdan Savchynskyy, Jörg H. Kappes, 2013, NIPS.

On the Convergence Rate of Gaussianization with Random Rotations

U. Köthe, C. Schnörr, Felix Draxler, 2023, ICML.

Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment

Freddie Åström, Christoph Schnörr, Fabrizio Savarino, 2017, SIAM J. Imaging Sci..

Image Labeling by Assignment

Bernhard Schmitzer, C. Schnörr, Freddie Åström, 2016, Journal of Mathematical Imaging and Vision.

Order Preserving and Shape Prior Constrained Intra-retinal Layer Segmentation in Optical Coherence Tomography

Christoph Schnörr, Stefan Schmidt, Fabian Rathke, 2011, MICCAI.

Segmentation of OCT Scans Using Probabilistic Graphical Models

Christoph Schnörr, Fabian Rathke, Mattia Desana, 2019, Biological and Medical Physics, Biomedical Engineering.

Variational Adaptive Correlation Method for Flow Estimation

Christoph Schnörr, Florian Becker, Stefania Petra, 2012, IEEE Transactions on Image Processing.

Shape from Texture using Locally Scaled Point Processes

Lex, C. Schnörr, T. Thorarinsdottir, 2013, ArXiv.

3D Tomography from Few Projections in Experimental Fluid Dynamics

Christoph Schnörr, Stefania Petra, Andreas Schröder, 2009 .

Learning system parameters from turing patterns

Christoph Schnorr, David Schnorr, C. Schnörr, 2021, Machine Learning.

Segmentation of visual motion by minimizing convex non-quadratic functionals

Christoph Schnörr, C. Schnörr, 1994, ICPR.

Combining the Advantages of Local and Global Optic Flow Methods

Joachim Weickert, Christoph Schnörr, Andrés Bruhn, 2002, DAGM-Symposium.

Spectral clustering of linear subspaces for motion segmentation

C. Schnörr, Fabien Lauer, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Continuous-domain assignment flows pdf

Christoph Schnörr, Fabrizio Savarino, C. Schnörr, 2019, European Journal of Applied Mathematics.

Object Segmentation by Shape Matching with Wasserstein Modes

Christoph Schnörr, Bernhard Schmitzer, Bernhard Schmitzer, 2013, EMMCVPR.

Modeling Large-Scale Joint Distributions and Inference by Randomized Assignment

Jonathan Schwarz, C. Schnörr, Dmitrij Sitenko, 2023, SSVM.

A general extending and constraining procedure for linear iterative methods

C. Popa, C. Schnörr, Stefania Petra, 2012, Int. J. Comput. Math..

Binary Tomography with Deblurring

Attila Kuba, Christoph Schnörr, Stefan Weber, 2006, IWCIA.

Joint Recursive Monocular Filtering of Camera Motion and Disparity Map

Christoph Schnörr, Johannes Berger, C. Schnörr, 2016, GCPR.

Universität Des Saarlandes Fachrichtung 6.1 – Mathematik a Multigrid Platform for Real-time Motion Computation with Discontinuity-preserving Variational Methods a Multigrid Platform for Real-time Motion Computation with Discontinuity-preserving Variational Methods

J. Weickert, Andrés Bruhn, C. Schnörr, 2022 .

Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification

Christoph Schnörr, Jörg H. Kappes, Martin Bergtholdt, 2007, DAGM-Symposium.