Christoph Schnörr

Jukka Heikkonen, Christoph Schnörr, Pasi Koikkalainen, 1994, Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 3 - Conference C: Signal Processing (Cat. No.94CH3440-5).

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

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

Parametric Dictionary-Based Velocimetry for Echo PIV

Christoph Schnörr, Stefania Petra, Ecaterina Bodnariuc, 2016, GCPR.

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

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

Spine Detection and Labeling Using a Parts-Based Graphical Model

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

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

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

Segmentation of visual motion by minimizing convex non-quadratic functionals

Christoph Schnörr, C. Schnörr, 1994, ICPR.

On Sparsity Maximization in Tomographic Particle Image Reconstruction

Christoph Schnörr, Stefania Petra, Andreas Schröder, 2008, DAGM-Symposium.

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.

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..

Total-Variation Based Piecewise Affine Regularization

Jing Yuan, Gabriele Steidl, Christoph Schnörr, 2009, SSVM.

Variational methods for adaptive image smoothing and segmentation

Christoph Schnörr, 2000 .

Shape from Texture using Locally Scaled Point Processes pdf

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

A Geometric Approach to Color Image Regularization

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

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.

Natural Image Statistics for Natural Image Segmentation

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

Superresolution and Denoising of 3D Fluid Flow Estimates

Christoph Schnörr, Andrey Vlasenko, 2009, DAGM-Symposium.

Variational Dense Motion Estimation Using the Helmholtz Decomposition

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

Ein Ansatz zur effizienten und eindeutigen Rekonstruktion stückweise glatter Funktionen

Christoph Schnörr, Bernd Neumann, 1992, DAGM-Symposium.

Spectral clustering of linear subspaces for motion segmentation

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

Prior Learning and Convex-Concave Regularization of Binary Tomography

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

Object Segmentation by Shape Matching with Wasserstein Modes

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

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.

Efficient Feature Subset Selection for Support Vector Machines

Daniel Cremers, Christoph Schnörr, Matthias Heiler, 2001 .

MAP-Inference for Highly-Connected Graphs with DC-Programming

Christoph Schnörr, Jörg H. Kappes, 2008, DAGM-Symposium.

Variational Approaches to Image Fluid Flow Estimation with Physical Priors

Christoph Schnörr, Andrey Vlasenko, 2009 .

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

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

Motion Competition: Variational Integration of Motion Segmentation and Shape Regularization

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

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

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

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

Nikos Paragios, Olivier Faugeras, Christoph Schnörr, 2005 .

Proceedings of the 29th DAGM conference on Pattern recognition

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

Feasible Adaptation Criteria for Hybrid Wavelet - Large Margin Classifiers

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

Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences

Christoph Schnörr, Florian Becker, Jörg H. Kappes, 2011, 2011 International Conference on Computer Vision.

Variational fluid flow measurements from image sequences: synopsis and perspectives

Christoph Schnörr, Etienne Mémin, Dominique Heitz, 2010 .

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

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

Parallele und global konvergente iterative Minimierung nichtlinearer Variationsansätze zur adaptiven Glättung und Segmentation von Bildern

Christoph Schnörr, H. Siegfried Stiehl, Josef Heers, 1998, DAGM-Symposium.

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

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

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).

Self-Assignment Flows for Unsupervised Data Labeling on Graphs

Christoph Schnörr, Stefania Petra, Matthias Zisler, 2020, SIAM J. Imaging Sci..

Guest Editorial: Variational Models, Convex Analysis and Numerical Optimization in Mathematical Imaging

Antonin Chambolle, Gabriele Steidl, Christoph Schnörr, 2013, Journal of Mathematical Imaging and Vision.

Variational optical flow estimation for particle image velocimetry

Timo Kohlberger, Christoph Schnörr, Paul Ruhnau, 2005 .

Designing 3-D Nonlinear Diffusion Filters for High Performance Cluster Computing

Timo Kohlberger, Joachim Weickert, Christoph Schnörr, 2002, DAGM-Symposium.

Parallel Variational Motion Estimation by Domain Decomposition and Cluster Computing

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

PDE - Based Preprocessing of Medical Images

Joachim Weickert, Christoph Schnörr, 2000, Künstliche Intell..

SVM-Based Feature Selection by Direct Objective Minimisation

Gabriele Steidl, Julia Neumann, Christoph Schnörr, 2004, DAGM-Symposium.

Editorial: Marr Prize and Honorable Mentions at ICCV 2005

Christoph Schnörr, 2007, International Journal of Computer Vision.

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

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

Image Labeling by Assignment

Freddie Åström, Christoph Schnörr, Stefania Petra, 2017, Journal of Mathematical Imaging and Vision.

Binary Tomography by Iterating Linear Programs from Noisy Projections

Christoph Schnörr, Joachim Hornegger, Stefan Weber, 2004, IWCIA.

Variational Segmentation with Shape Priors

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

Sparse Template-Based variational Image Segmentation

Christoph Schnörr, Jan Lellmann, Dirk Breitenreicher, 2011, Adv. Data Sci. Adapt. Anal..

Determining the dominant plane from uncalibrated stereo vision by a robust and convergent iterative approach without correspondence

Christoph Schnörr, Par Fornland, 1997 .

3D segmentation of vessels by incremental implicit polynomial fitting and convex optimization

Karl Rohr, Christoph Schnörr, Andreas Biesdorf, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Automatische Bestimmung der Trajektorien von sich bewegenden Objekten aus einer Bildfolge

Karl Rohr, Christoph Schnörr, D. Bister, 1990, DAGM-Symposium.

Hierarchical Image Segmentation Based on Semidefinite Programming

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

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

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

Variational dense motion estimation using a div-curl high-order regularization

Timo Kohlberger, Christoph Schnörr, Étienne Mémin, 2003, Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings..

On Functionals with Greyvalue-Controlled Smoothness Terms for Determining Optical Flow

Christoph Schnörr, 1993, IEEE Trans. Pattern Anal. Mach. Intell..

Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem

Christoph Schnörr, Jan Lellmann, Frank Lenzen, 2011, EMMCVPR.

A nonlinear regularization approach to early vision

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

Variational Adaptive Correlation Method for Flow Estimation

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

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

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

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

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

Variational Image Motion Computation: Theoretical Framework, Problems and Perspectives

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

Convex optimization for multi-class image labeling with a novel family of total variation based regularizers

Christoph Schnörr, Florian Becker, Jan Lellmann, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Architekturkonzepte zur Bildauswertung

Heinrich Niemann, Jörg Kopecz, Christoph Schnörr, 1993, Deutsche Jahrestagung für Künstliche Intelligenz.

Motion-Based Identification of Deformable Templates

Christoph Schnörr, Wladimir Peckar, 1995, CAIP.

Joint Recursive Monocular Filtering of Camera Motion and Disparity Map

Christoph Schnörr, Johannes Berger, 2016, GCPR.

Räumlich-zeitliche Berechnung des optischen Flusses mit nichtlinearen flußabhängigen Glattheitstermen

Joachim Weickert, Christoph Schnörr, 1999, DAGM-Symposium.

Evaluation of a convex relaxation to a quadratic assignment matching approach for relational object views

Christoph Schnörr, Stefan Roth, Christian Schellewald, 2007, Image Vis. Comput..

Matrix-Valued Filters as Convex Programs

Joachim Weickert, Martin Welk, Christoph Schnörr, 2005, Scale-Space.

Binary Partitioning, Perceptual Grouping, and Restoration with Semidefinite Programming

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

Critical Parameter Values and Reconstruction Properties of Discrete Tomography: Application to Experimental Fluid Dynamics pdf

Christoph Schnörr, Stefania Petra, Andreas Schröder, 2013, Fundam. Informaticae.

Variational Image Segmentation and Cosegmentation with the Wasserstein Distance

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

Zur Schätzung von Geschwindigkeitsvektorferldern in Bildfolgen mit einer richtungsabhängigen Glattheitsforderung

Christoph Schnörr, Christoph Schnörr, 1989, DAGM-Symposium.

Expectation Maximization for Sum-Product Networks as Exponential Family Mixture Models pdf

Christoph Schnörr, Mattia Desana, 2016, ArXiv.

Natural Image Statistics for Natural Image Segmentation

Christoph Schnörr, Matthias Heiler, 2005, International Journal of Computer Vision.

Learning Adaptive Regularization for Image Labeling Using Geometric Assignment

Christoph Schnörr, Stefania Petra, Fabrizio Savarino, 2020, Journal of Mathematical Imaging and Vision.

A robust and convergent iterative approach for determining the dominant plane from two views without correspondence and calibration

Christoph Schnörr, Pär Fornland, 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

A Variational Approach to Adaptive Correlation for Motion Estimation in Particle Image Velocimetry

Jing Yuan, Christoph Schnörr, Florian Becker, 2008, DAGM-Symposium.

Continuous Multiclass Labeling Approaches and Algorithms pdf

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

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.

Variational Methods for Adaptive Smoothing and Segmentation

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

Convex Variational Image Restoration with Histogram Priors pdf

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

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

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

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).

MRF Inference by k-Fan Decomposition and Tight Lagrangian Relaxation

Christoph Schnörr, Stefan Schmidt, Jörg H. Kappes, 2010, ECCV.

Signal and image approximation with level-set constraints

Christoph Schnörr, C. Schnörr, 2007, Computing.

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

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

Variational Image Denoising with Adaptive Constraint Sets

Christoph Schnörr, Florian Becker, Stefania Petra, 2011, SSVM.

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

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

Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation

Jing Yuan, Christoph Schnörr, Étienne Mémin, 2005, Scale-Space.

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.

MAP Image Labeling Using Wasserstein Messages and Geometric Assignment

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

A Convex Relaxation Approach to the Affine Subspace Clustering Problem

Gerhard Reinelt, Christoph Schnörr, Francesco Silvestri, 2015, GCPR.

Convex set-based estimation of image flows

Jing Yuan, Timo Kohlberger, Christoph Schnörr, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

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

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

Guest Editorial: Scale-Space and Variational Methods

Christoph Schnörr, Bart M. ter Haar Romeny, 2013, Journal of Mathematical Imaging and Vision.

TomoGC: Binary Tomography by Constrained GraphCuts

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

Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration without Correspondence

Christoph Schnörr, Dirk Breitenreicher, 2009, EMMCVPR.

Combining the Advantages of Local and Global Optic Flow Methods

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

Medical Computer Vision - Service Page

Joachim Weickert, Christoph Schnörr, 2000, Künstliche Intell..

Real-Time Adaptive Smoothing with a 1-D Nonlinear Relaxation

Christoph Schnörr, H. Siegfried Stiehl, Rolf-Rainer Grigat, 1998, DAGM-Symposium.

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.

Controlling Sparseness in Non-negative Tensor Factorization

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

Funktionalanalytische Methoden zur Gewinnung von Bewegungsinformation aus TV-Bildfolgen

Christoph Schnörr, Christoph Schnörr, 1991 .

Discrete Tomography by Continuous Multilabeling Subject to Projection Constraints

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

Average Case Recovery Analysis of Tomographic Compressive Sensing pdf

Christoph Schnörr, Stefania Petra, 2012, ArXiv.

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

Christoph Schnörr, Florian Becker, Stefania Petra, 2013, Comput. Optim. Appl..

Statistical shape knowledge in variational motion segmentation

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

On Variational Methods for Fluid Flow Estimation

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

Convex Relaxations for Binary Image Partitioning and Perceptual Grouping

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

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

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

Semidefinite Clustering for Image Segmentation with A-priori Knowledge

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

4. Rotation invariance in exemplar-based image inpainting

Christoph Schnörr, Gabriel Peyré, Massimo Fornasier, 2016 .

Convex Hodge Decomposition and Regularization of Image Flows

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

Domain decomposition for variational optical-flow computation

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

Geometric Image Labeling with Global Convex Labeling Constraints

Karl Rohr, Christoph Schnörr, Artjom Zern, 2017, EMMCVPR.

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

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

Adaptive Reconstruction of Discrete-Valued Objects from few Projections

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

Numerical Integration of Riemannian Gradient Flows for Image Labeling

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

Real-Time Optic Flow Computation with Variational Methods

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

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.

Nonlinear Shape Statistics via Kernel Spaces

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

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

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

Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts

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

Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing

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

Variational recursive joint estimation of dense scene structure and camera motion from monocular high speed traffic sequences

Christoph Schnörr, Florian Becker, Frank Lenzen, 2011, ICCV.

A 1D Analog VLSI Implementation For Non-linear Real-Time Signal Preprocessing

Christoph Schnörr, H. Siegfried Stiehl, Rolf-Rainer Grigat, 2001 .

Variational Reconstruction with DC-Programming

Christoph Schnörr, Stefan Weber, Thomas Schüle, 2007 .

Globally Optimal Image Partitioning by Multicuts

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

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.

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

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

Domain Decomposition for Parallel Variational Optical Flow Computation

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

Learning of Graphical Models and Efficient Inference for Object Class Recognition

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

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

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

A Class of Parallel Algorithms for Nonlinear Variational Segmentation: A preprocess for robust feature-based image coding

Christoph Schnörr, H. Siegfried Stiehl, Josef Heers, 1998, NMBIA.

Contour Manifolds and Optimal Transport pdf

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

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

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

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

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

Assignment Flow for Order-Constrained OCT Segmentation pdf

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

Efficient wavelet adaptation for hybrid wavelet-large margin classifiers

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

Image Reconstruction by Multilabel Propagation

Freddie Åström, Christoph Schnörr, Stefania Petra, 2017, SSVM.

High performance cluster computing with 3-D nonlinear diffusion filters

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

Decomposition of Quadratic Variational Problems

Christoph Schnörr, Florian Becker, 2008, DAGM-Symposium.

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).

Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation

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

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

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

A One-Dimensional Analog VLSI Implementation for Nonlinear Real-Time Signal Preprocessing

Christoph Schnörr, H. Siegfried Stiehl, Rolf-Rainer Grigat, 2001, Real Time Imaging.

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).

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

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

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

Christoph Schnörr, Florian Becker, Johannes Berger, 2016, Journal of Mathematical Imaging and Vision.

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

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

A Hierarchical Approach to Optimal Transport

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

Probabilistic Subgraph Matching Based on Convex Relaxation

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

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.

Solving QVIs for Image Restoration with Adaptive Constraint Sets pdf

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

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.

Computation of discontinuous optical flow by domain decomposition and shape optimization

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

Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation

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

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

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

The Benefits of Dense Stereo for Pedestrian Detection

Dariu Gavrila, Marcus Rohrbach, David Fernández Llorca, 2011, IEEE Transactions on Intelligent Transportation Systems.

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

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

Higher-order segmentation via multicuts

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

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

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

Symmetry-free SDP Relaxations for Affine Subspace Clustering pdf

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

Unsupervised Image Partitioning with Semidefinite Programming

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

Computation of discontinous optical flow by domain decomposition and shape optimization

Christoph Schnörr, 1990, BMVC.

A Linear Programming Relaxation for Binary Tomography with Smoothness Priors

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

Discrete and Continuous Models for Partitioning Problems

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

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

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

Optical Flow

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

An Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM

Ullrich Köthe, Christoph Schnörr, Jörg H. Kappes, 2010, DAGM-Symposium.

Sum–product graphical models

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

Physically Consistent Variational Denoising of Image Fluid Flow Estimates

Christoph Schnörr, Andrey Vlasenko, 2008, DAGM-Symposium.

A Variational Perspective on the Assignment Flow

Christoph Schnörr, Fabrizio Savarino, 2019, SSVM.

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

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

Corrections to "Variational Adaptive Correlation Method for Flow Estimation"

Christoph Schnörr, Florian Becker, Stefania Petra, 2012, IEEE Trans. Image Process..

Computerunterstützte Gefäßanalyse für die interventionelle Anwendung

Christoph Schnörr, Joachim Hornegger, Marcus Prümmer, 2004, Bildverarbeitung für die Medizin.

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.

Linear and incremental estimation of elastic deformations in medical registration using prescribed displacements

Karl Rohr, Christoph Schnörr, Uwe Spetzger, 1998 .

Multicuts and Perturb & MAP for Probabilistic Graph Clustering

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

Shape statistics in kernel space for variational image segmentation

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

Fast and Exact Primal-Dual Iterations for Variational Problems in Computer Vision

Christoph Schnörr, Jan Lellmann, Dirk Breitenreicher, 2010, ECCV.

A Variational Approach to the Design of Early Vision Algorithms

Christoph Schnörr, Bernd Neumann, Rainer Sprengel, 1994, Theoretical Foundations of Computer Vision.

Physically Consistent and Efficient Variational Denoising of Image Fluid Flow Estimates

Christoph Schnörr, Andrey Vlasenko, 2010, IEEE Transactions on Image Processing.

A Geometric Approach to Image Labeling

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

A general extending and constraining procedure for linear iterative methods

Christoph Schnörr, Stefania Petra, Aurelian Nicola, 2012, Int. J. Comput. Math..

Unsupervised Labeling by Geometric and Spatially Regularized Self-assignment

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

Convex Hodge Decomposition of Image Flows

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

Pattern Recognition, 29th DAGM Symposium, Heidelberg, Germany, September 12-14, 2007, Proceedings

Bernd Jähne, Christoph Schnörr, Fred A. Hamprecht, 2007, DAGM-Symposium.

Globally convergent iterative numerical schemes for nonlinear variational image smoothing and segmentation on a multiprocessor machine

Christoph Schnörr, H. Siegfried Stiehl, Josef Heers, 2001, IEEE Trans. Image Process..

Subgraph Matching with Semidefinite Programming

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

Learning Linear Assignment Flows for Image Labeling via Exponential Integration

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

Assignment Flows and Nonlocal PDEs on Graphs

Christoph Schnörr, Dmitrij Sitenko, Bastian Boll, 2021, GCPR.

Learning Linearized Assignment Flows for Image Labeling pdf

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

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

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

On the Correspondence Between Replicator Dynamics and Assignment Flows

Christoph Schnörr, Jonathan Schwarz, Bastian Boll, 2021, SSVM.

Quantifying Uncertainty of Image Labelings Using Assignment Flows

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

Learning System Parameters from Turing Patterns pdf

Christoph Schnörr, David Schnörr, 2021, ArXiv.

On the Geometric Mechanics of Assignment Flows for Metric Data Labeling

Christoph Schnörr, Fabrizio Savarino, Peter Albers, 2021, SSVM.

Enhancing Sparsity by Constraining Strategies : Constrained SIRT versus Spectral Projected Gradient Methods

Christoph Schnörr, Stefania Petra, Constantin Popa, 2009 .

Investigating a class of iterative schemes and their parallel implementation for nonlinear variational image smoothing and segmentation

Christoph Schnörr, H. Siegfried Stiehl, Josef Heers, 1999 .

3D Tomography from Few Projections in Experimental Fluid Dynamics

Christoph Schnörr, Stefania Petra, Andreas Schröder, 2009 .

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

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

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

Gabriele Steidl, Julia Neumann, Christoph Schnörr, 2003 .

A variational approach for particle tracking velocimetry

Christoph Schnörr, Paul Ruhnau, C Guetter, 2005 .

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

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