Christoph Schnörr

According to our database1, Christoph Schnörr authored at least 239 papers between 1989 and 2019.

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2019
Globally optimal segmentation of cell nuclei in fluorescence microscopy images using shape and intensity information.
Medical Image Analysis, 2019

Fast multivariate log-concave density estimation.
Computational Statistics & Data Analysis, 2019

Learning Adaptive Regularization for Image Labeling Using Geometric Assignment.
CoRR, 2019

Continuous-Domain Assignment Flows.
CoRR, 2019

Approximate Variational Inference Based on a Finite Sample of Gaussian Latent Variables.
CoRR, 2019

Unsupervised Assignment Flow: Label Learning on Feature Manifolds by Spatially Regularized Geometric Assignment.
CoRR, 2019

Unsupervised Labeling by Geometric and Spatially Regularized Self-assignment.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2019

A Variational Perspective on the Assignment Flow.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2019

Learning Adaptive Regularization for Image Labeling Using Geometric Assignment.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2019

2018
Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment.
SIAM J. Imaging Sciences, 2018

Segmentation of cell nuclei using intensity-based model fitting and sequential convex programming.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Unsupervised Label Learning on Manifolds by Spatially Regularized Geometric Assignment.
Proceedings of the Pattern Recognition - 40th German Conference, 2018

2017
Second-Order Recursive Filtering on the Rigid-Motion Lie Group SE3 Based on Nonlinear Observations.
Journal of Mathematical Imaging and Vision, 2017

Image Labeling by Assignment.
Journal of Mathematical Imaging and Vision, 2017

Guest Editorial: Best Papers from ICCV 2015.
International Journal of Computer Vision, 2017

A geometric approach for color image regularization.
Computer Vision and Image Understanding, 2017

Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment.
CoRR, 2017

Sum-Product Graphical Models.
CoRR, 2017

Image Reconstruction by Multilabel Propagation.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

Numerical Integration of Riemannian Gradient Flows for Image Labeling.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

Compressed Motion Sensing.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

MAP Image Labeling Using Wasserstein Messages and Geometric Assignment.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

Locally Adaptive Probabilistic Models for Global Segmentation of Pathological OCT Scans.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Segmentation of cell structures using Model-Based Set Covering with iterative reweighting.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Geometric Image Labeling with Global Convex Labeling Constraints.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017

Gradient Flows on a Riemannian Submanifold for Discrete Tomography.
Proceedings of the Pattern Recognition - 39th German Conference, 2017

A Local Spatio-Temporal Approach to Plane Wave Ultrasound Particle Image Velocimetry.
Proceedings of the Pattern Recognition - 39th German Conference, 2017

2016
Non-Binary Discrete Tomography by Continuous Non-Convex Optimization.
IEEE Trans. Computational Imaging, 2016

Partial Optimality by Pruning for MAP-Inference with General Graphical Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Approximate variational inference based on a finite sample of Gaussian latent variables.
Pattern Anal. Appl., 2016

Multicuts and Perturb & MAP for Probabilistic Graph Clustering.
Journal of Mathematical Imaging and Vision, 2016

Higher-order segmentation via multicuts.
Computer Vision and Image Understanding, 2016

Multicuts and Perturb & MAP for Probabilistic Graph Clustering.
CoRR, 2016

Expectation Maximization for Sum-Product Networks as Exponential Family Mixture Models.
CoRR, 2016

Joint Recursive Monocular Filtering of Camera Motion and Disparity Map.
CoRR, 2016

A Geometric Approach to Color Image Regularization.
CoRR, 2016

Image Labeling by Assignment.
CoRR, 2016

Symmetry-free SDP Relaxations for Affine Subspace Clustering.
CoRR, 2016

Double-Opponent Vectorial Total Variation.
Proceedings of the Computer Vision - ECCV 2016, 2016

A Geometric Approach to Image Labeling.
Proceedings of the Computer Vision - ECCV 2016, 2016

Discrete Tomography by Continuous Multilabeling Subject to Projection Constraints.
Proceedings of the Pattern Recognition - 38th German Conference, 2016

Parametric Dictionary-Based Velocimetry for Echo PIV.
Proceedings of the Pattern Recognition - 38th German Conference, 2016

Joint Recursive Monocular Filtering of Camera Motion and Disparity Map.
Proceedings of the Pattern Recognition - 38th German Conference, 2016

The Assignment Manifold: A Smooth Model for Image Labeling.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015
Optical Flow.
Proceedings of the Handbook of Mathematical Methods in Imaging, 2015

Globally Optimal Joint Image Segmentation and Shape Matching Based on Wasserstein Modes.
Journal of Mathematical Imaging and Vision, 2015

A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems.
International Journal of Computer Vision, 2015

Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

Second Order Minimum Energy Filtering on $${\text {SE}}_{3}$$ with Nonlinear Measurement Equations.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

3D segmentation of vessels by incremental implicit polynomial fitting and convex optimization.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

A Convex Relaxation Approach to the Affine Subspace Clustering Problem.
Proceedings of the Pattern Recognition - 37th German Conference, 2015

Estimating Vehicle Ego-Motion and Piecewise Planar Scene Structure from Optical Flow in a Continuous Framework.
Proceedings of the Pattern Recognition - 37th German Conference, 2015

TomoGC: Binary Tomography by Constrained GraphCuts.
Proceedings of the Pattern Recognition - 37th German Conference, 2015

On coupled regularization for non-convex variational image enhancement.
Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015

2014
Solving Quasi-Variational Inequalities for Image Restoration with Adaptive Constraint Sets.
SIAM J. Imaging Sciences, 2014

Probabilistic intra-retinal layer segmentation in 3-D OCT images using global shape regularization.
Medical Image Analysis, 2014

Phase Transitions and Cosparse Tomographic Recovery of Compound Solid Bodies from Few Projections.
Fundam. Inform., 2014

Partial Optimality by Pruning for MAP-Inference with General Graphical Models.
CoRR, 2014

Globally Optimal Joint Image Segmentation and Shape Matching based on Wasserstein Modes.
CoRR, 2014

Probabilistic Intra-Retinal Layer Segmentation in 3-D OCT Images Using Global Shape Regularization.
CoRR, 2014

Solving QVIs for Image Restoration with Adaptive Constraint Sets.
CoRR, 2014

A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems.
CoRR, 2014

Adaptive Dictionary-Based Spatio-temporal Flow Estimation for Echo PIV.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2014

MAP-Inference on Large Scale Higher-Order Discrete Graphical Models by Fusion Moves.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

An Entropic Perturbation Approach to TV-Minimization for Limited-Data Tomography.
Proceedings of the Discrete Geometry for Computer Imagery, 2014

Partial Optimality by Pruning for MAP-Inference with General Graphical Models.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Convex Variational Image Restoration with Histogram Priors.
SIAM J. Imaging Sciences, 2013

COAL: a generic modelling and prototyping framework for convex optimization problems of variational image analysis.
Optimization Methods and Software, 2013

Modelling Convex Shape Priors and Matching Based on the Gromov-Wasserstein Distance.
Journal of Mathematical Imaging and Vision, 2013

Guest Editorial: Scale-Space and Variational Methods.
Journal of Mathematical Imaging and Vision, 2013

Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem.
Journal of Mathematical Imaging and Vision, 2013

Guest Editorial: Variational Models, Convex Analysis and Numerical Optimization in Mathematical Imaging.
Journal of Mathematical Imaging and Vision, 2013

Discrete and Continuous Models for Partitioning Problems.
International Journal of Computer Vision, 2013

Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences.
International Journal of Computer Vision, 2013

Critical Parameter Values and Reconstruction Properties of Discrete Tomography: Application to Experimental Fluid Dynamics.
Fundam. Inform., 2013

Higher-order Segmentation via Multicuts
CoRR, 2013

Convex Variational Image Restoration with Histogram Priors
CoRR, 2013

Contour Manifolds and Optimal Transport.
CoRR, 2013

Shape from Texture using Locally Scaled Point Processes.
CoRR, 2013

Phase Transitions and Cosparse Tomographic Recovery of Compound Solid Bodies from Few Projections.
CoRR, 2013

A class of quasi-variational inequalities for adaptive image denoising and decomposition.
Comp. Opt. and Appl., 2013

Partial Optimality via Iterative Pruning for the Potts Model.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

A Hierarchical Approach to Optimal Transport.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

B-SMART: Bregman-Based First-Order Algorithms for Non-negative Compressed Sensing Problems.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Variational Image Segmentation and Cosegmentation with the Wasserstein Distance.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013

Object Segmentation by Shape Matching with Wasserstein Modes.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013

Towards Efficient and Exact MAP-Inference for Large Scale Discrete Computer Vision Problems via Combinatorial Optimization.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Corrections to "Variational Adaptive Correlation Method for Flow Estimation".
IEEE Trans. Image Processing, 2012

Variational Adaptive Correlation Method for Flow Estimation.
IEEE Trans. Image Processing, 2012

A general extending and constraining procedure for linear iterative methods.
Int. J. Comput. Math., 2012

Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing
CoRR, 2012

Critical Parameter Values and Reconstruction Properties of Discrete Tomography: Application to Experimental Fluid Dynamics
CoRR, 2012

Average Case Recovery Analysis of Tomographic Compressive Sensing
CoRR, 2012

Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

A bundle approach to efficient MAP-inference by Lagrangian relaxation.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
The Benefits of Dense Stereo for Pedestrian Detection.
IEEE Trans. Intelligent Transportation Systems, 2011

Continuous Multiclass Labeling Approaches and Algorithms.
SIAM J. Imaging Sciences, 2011

Model-Based Multiple Rigid Object Detection and Registration in Unstructured Range Data.
International Journal of Computer Vision, 2011

Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem
CoRR, 2011

Continuous Multiclass Labeling Approaches and Algorithms
CoRR, 2011

Sparse Template-Based variational Image Segmentation.
Advances in Adaptive Data Analysis, 2011

Weakly Convex Coupling Continuous Cuts and Shape Priors.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

Variational Image Denoising with Adaptive Constraint Sets.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

Order Preserving and Shape Prior Constrained Intra-retinal Layer Segmentation in Optical Coherence Tomography.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Variational recursive joint estimation of dense scene structure and camera motion from monocular high speed traffic sequences.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Evaluation of a First-Order Primal-Dual Algorithm for MRF Energy Minimization.
Proceedings of the Energy Minimazation Methods in Computer Vision and Pattern Recognition, 2011

Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem.
Proceedings of the Energy Minimazation Methods in Computer Vision and Pattern Recognition, 2011

Globally Optimal Image Partitioning by Multicuts.
Proceedings of the Energy Minimazation Methods in Computer Vision and Pattern Recognition, 2011

A study of Nesterov's scheme for Lagrangian decomposition and MAP labeling.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Physically Consistent and Efficient Variational Denoising of Image Fluid Flow Estimates.
IEEE Trans. Image Processing, 2010

Robust 3D object registration without explicit correspondence using geometric integration.
Mach. Vis. Appl., 2010

A Study of Parts-Based Object Class Detection Using Complete Graphs.
International Journal of Computer Vision, 2010

Fast and Exact Primal-Dual Iterations for Variational Problems in Computer Vision.
Proceedings of the Computer Vision, 2010

MRF Inference by k-Fan Decomposition and Tight Lagrangian Relaxation.
Proceedings of the Computer Vision, 2010

An Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM.
Proceedings of the Pattern Recognition, 2010

2009
Convex Hodge Decomposition and Regularization of Image Flows.
Journal of Mathematical Imaging and Vision, 2009

Total-Variation Based Piecewise Affine Regularization.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009

Convex Multi-class Image Labeling by Simplex-Constrained Total Variation.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009

Convex optimization for multi-class image labeling with a novel family of total variation based regularizers.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Spectral clustering of linear subspaces for motion segmentation.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration without Correspondence.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2009

Superresolution and Denoising of 3D Fluid Flow Estimates.
Proceedings of the Pattern Recognition, 2009

2008
Pedestrian Detection and Tracking Using a Mixture of View-Based Shape-Texture Models.
IEEE Trans. Intelligent Transportation Systems, 2008

Continuous graph cuts for prior-based object segmentation.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

View Point Tracking of Rigid Objects Based on Shape Sub-manifolds.
Proceedings of the Computer Vision, 2008

Convex Hodge Decomposition of Image Flows.
Proceedings of the Pattern Recognition, 2008

Physically Consistent Variational Denoising of Image Fluid Flow Estimates.
Proceedings of the Pattern Recognition, 2008

On Sparsity Maximization in Tomographic Particle Image Reconstruction.
Proceedings of the Pattern Recognition, 2008

MAP-Inference for Highly-Connected Graphs with DC-Programming.
Proceedings of the Pattern Recognition, 2008

A Variational Approach to Adaptive Correlation for Motion Estimation in Particle Image Velocimetry.
Proceedings of the Pattern Recognition, 2008

Decomposition of Quadratic Variational Problems.
Proceedings of the Pattern Recognition, 2008

2007
Median and related local filters for tensor-valued images.
Signal Processing, 2007

Simultaneous Higher-Order Optical Flow Estimation and Decomposition.
SIAM J. Scientific Computing, 2007

Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation.
Journal of Mathematical Imaging and Vision, 2007

Interacting and Annealing Particle Filters: Mathematics and a Recipe for Applications.
Journal of Mathematical Imaging and Vision, 2007

Evaluation of a convex relaxation to a quadratic assignment matching approach for relational object views.
Image Vision Comput., 2007

Editorial: Marr Prize and Honorable Mentions at ICCV 2005.
International Journal of Computer Vision, 2007

Signal and image approximation with level-set constraints.
Computing, 2007

Spine Detection and Labeling Using a Parts-Based Graphical Model.
Proceedings of the Information Processing in Medical Imaging, 2007

Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification.
Proceedings of the Pattern Recognition, 2007

2006
Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming.
J. Mach. Learn. Res., 2006

A Multiphase Dynamic Labeling Model for Variational Recognition-driven Image Segmentation.
International Journal of Computer Vision, 2006

A Multigrid Platform for Real-Time Motion Computation with Discontinuity-Preserving Variational Methods.
International Journal of Computer Vision, 2006

Binary Tomography with Deblurring.
Proceedings of the Combinatorial Image Analysis, 11th International Workshop, 2006

Controlling Sparseness in Non-negative Tensor Factorization.
Proceedings of the Computer Vision, 2006

A Benchmark Evaluation of Large-Scale Optimization Approaches to Binary Tomography.
Proceedings of the Discrete Geometry for Computer Imagery, 13th International Conference, 2006

On-Line Variational Estimation of Dynamical Fluid Flows with Physics-Based Spatio-temporal Regularization.
Proceedings of the Pattern Recognition, 2006

Learning of Graphical Models and Efficient Inference for Object Class Recognition.
Proceedings of the Pattern Recognition, 2006

Variational Segmentation with Shape Priors.
Proceedings of the Handbook of Mathematical Models in Computer Vision, 2006

2005
Domain decomposition for variational optical-flow computation.
IEEE Trans. Image Processing, 2005

Variational optical flow computation in real time.
IEEE Trans. Image Processing, 2005

Efficient wavelet adaptation for hybrid wavelet-large margin classifiers.
Pattern Recognition, 2005

Combined SVM-Based Feature Selection and Classification.
Machine Learning, 2005

Natural Image Statistics for Natural Image Segmentation.
International Journal of Computer Vision, 2005

Lucas/Kanade Meets Horn/Schunck: Combining Local and Global Optic Flow Methods.
International Journal of Computer Vision, 2005

Prior Learning and Convex-Concave Regularization of Binary Tomography.
Electronic Notes in Discrete Mathematics, 2005

Adaptive Reconstruction of Discrete-Valued Objects from few Projections.
Electronic Notes in Discrete Mathematics, 2005

Discrete tomography by convex-concave regularization and D.C. programming.
Discrete Applied Mathematics, 2005

A Study of Non-smooth Convex Flow Decomposition.
Proceedings of the Variational, 2005

Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation.
Proceedings of the Scale Space and PDE Methods in Computer Vision, 2005

Matrix-Valued Filters as Convex Programs.
Proceedings of the Scale Space and PDE Methods in Computer Vision, 2005

Discontinuity-Preserving Computation of Variational Optic Flow in Real-Time.
Proceedings of the Scale Space and PDE Methods in Computer Vision, 2005

Learning Non-Negative Sparse Image Codes by Convex Programming.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

Probabilistic Subgraph Matching Based on Convex Relaxation.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2005

Reverse-Convex Programming for Sparse Image Codes.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2005

Semidefinite Clustering for Image Segmentation with A-priori Knowledge.
Proceedings of the Pattern Recognition, 27th DAGM Symposium, Vienna, Austria, August 31, 2005

Shape Priors and Online Appearance Learning for Variational Segmentation and Object Recognition in Static Scenes.
Proceedings of the Pattern Recognition, 27th DAGM Symposium, Vienna, Austria, August 31, 2005

2004
High performance cluster computing with 3-D nonlinear diffusion filters.
Real-Time Imaging, 2004

On Variational Methods for Fluid Flow Estimation.
Proceedings of the Complex Motion, First International Workshop, 2004

Binary Tomography by Iterating Linear Programs from Noisy Projections.
Proceedings of the Combinatorial Image Analysis, 10th InternationalWorkshop, 2004

Convex Set-Based Estimation of Image Flows.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Parallel Variational Motion Estimation by Domain Decomposition and Cluster Computing.
Proceedings of the Computer Vision, 2004

A Bayesian Framework for Multi-cue 3D Object Tracking.
Proceedings of the Computer Vision, 2004

Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation.
Proceedings of the Computer Vision, 2004

SVM-Based Feature Selection by Direct Objective Minimisation.
Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004

Hierarchical Image Segmentation Based on Semidefinite Programming.
Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004

Computerunterstützte Gefäßanalyse für die interventionelle Anwendung.
Proceedings of the Bildverarbeitung für die Medizin 2004, Algorithmen - Systeme, 2004

2003
Shape statistics in kernel space for variational image segmentation.
Pattern Recognition, 2003

Binary Partitioning, Perceptual Grouping, and Restoration with Semidefinite Programming.
IEEE Trans. Pattern Anal. Mach. Intell., 2003

Statistical shape knowledge in variational motion segmentation.
Image Vision Comput., 2003

A Linear Programming Relaxation for Binary Tomography with Smoothness Priors.
Electronic Notes in Discrete Mathematics, 2003

Subgraph Matching with Semidefinite Programming.
Electronic Notes in Discrete Mathematics, 2003

Variational Dense Motion Estimation Using the Helmholtz Decomposition.
Proceedings of the Scale Space Methods in Computer Vision, 4th International Conference, 2003

Towards Recognition-Based Variational Segmentation Using Shape Priors and Dynamic Labeling.
Proceedings of the Scale Space Methods in Computer Vision, 4th International Conference, 2003

Variational dense motion estimation using a div-curl high-order regularization.
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003

Natural Image Statistics for Natural Image Segmentation.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

Domain Decomposition for Parallel Variational Optical Flow Computation.
Proceedings of the Pattern Recognition, 2003

Feasible Adaptation Criteria for Hybrid Wavelet - Large Margin Classifiers.
Proceedings of the Computer Analysis of Images and Patterns, 10th International Conference, 2003

Real-Time Optic Flow Computation with Variational Methods.
Proceedings of the Computer Analysis of Images and Patterns, 10th International Conference, 2003

A Linear Programming Approach to Limited Angle 3D Reconstruction from DSA Projections.
Proceedings of the Bildverarbeitung für die Medizin 2003, Algorithmen - Systeme, 2003

2002
Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford-Shah Functional.
International Journal of Computer Vision, 2002

Nonlinear Shape Statistics in Mumford-Shah Based Segmentation.
Proceedings of the Computer Vision, 2002

Unsupervised Image Partitioning with Semidefinite Programming.
Proceedings of the Pattern Recognition, 2002

Motion Competition: Variational Integration of Motion Segmentation and Shape Regularization.
Proceedings of the Pattern Recognition, 2002

Combining the Advantages of Local and Global Optic Flow Methods.
Proceedings of the Pattern Recognition, 2002

Designing 3-D Nonlinear Diffusion Filters for High Performance Cluster Computing.
Proceedings of the Pattern Recognition, 2002

2001
Globally convergent iterative numerical schemes for nonlinear variational image smoothing and segmentation on a multiprocessor machine.
IEEE Trans. Image Processing, 2001

A One-Dimensional Analog VLSI Implementation for Nonlinear Real-Time Signal Preprocessing.
Real-Time Imaging, 2001

Fast Parallel Algorithms for a Broad Class of Nonlinear Variational Diffusion Approaches.
Real-Time Imaging, 2001

Variational Optic Flow Computation with a Spatio-Temporal Smoothness Constraint.
Journal of Mathematical Imaging and Vision, 2001

A Theoretical Framework for Convex Regularizers in PDE-Based Computation of Image Motion.
International Journal of Computer Vision, 2001

Image Labeling and Grouping by Minimizing Linear Functionals over Cones.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2001

Evaluation of Convex Optimization Techniques for the Weighted Graph-Matching Problem in Computer Vision.
Proceedings of the Pattern Recognition, 2001

Convex Relaxations for Binary Image Partitioning and Perceptual Grouping.
Proceedings of the Pattern Recognition, 2001

Nonlinear Shape Statistics via Kernel Spaces.
Proceedings of the Pattern Recognition, 2001

2000
PDE - Based Preprocessing of Medical Images.
KI, 2000

Medical Computer Vision - Service Page.
KI, 2000

Variational Image Motion Computation: Theoretical Framework, Problems and Perspectives.
Proceedings of the Mustererkennung 2000, 2000

Diffusion-Snakes Using Statistical Shape Knowledge.
Proceedings of the Algebraic Frames for the Perception-Action Cycle, 2000

1999
Parameter-Free Elastic Deformation Approach for 2D and 3D Registration Using Prescribed Displacements.
Journal of Mathematical Imaging and Vision, 1999

Räumlich-zeitliche Berechnung des optischen Flusses mit nichtlinearen flußabhängigen Glattheitstermen.
Proceedings of the Mustererkennung 1999, 1999

1998
A Study of a Convex Variational Diffusion Approach for Image Segmentation and Feature Extraction.
Journal of Mathematical Imaging and Vision, 1998

A Class of Parallel Algorithms for Nonlinear Variational Segmentation: A preprocess for robust feature-based image coding.
Proceedings of the Noblesse Workshop on Non-Linear Model Based Image Analysis, 1998

Investigation of Parallel and Globally Convergent Iterative Schemes for Nonlinear Variational Image Smoothing and Segmentation.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

Real-Time Adaptive Smoothing with a 1-D Nonlinear Relaxation.
Proceedings of the Mustererkennung 1998, 20. DAGM-Symposium, Stuttgart, 29. September, 1998

Parallele und global konvergente iterative Minimierung nichtlinearer Variationsansätze zur adaptiven Glättung und Segmentation von Bildern.
Proceedings of the Mustererkennung 1998, 20. DAGM-Symposium, Stuttgart, 29. September, 1998

Non-Rigid Image Registration Using a Parameter-Free Elastic Model.
Proceedings of the British Machine Vision Conference 1998, 1998

1997
Two-Step Parameter-Free Elastic Image Registration with Prescribed Point Displacements.
Proceedings of the Image Analysis and Processing, 9th International Conference, 1997

A robust and convergent iterative approach for determining the dominant plane from two views without correspondence and calibration.
Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), 1997

1996
Repräsentation von Bilddaten mit einem konvexen Variationsansatz.
Proceedings of the Mustererkennung 1996, 1996

1995
Motion-Based Identification of Deformable Templates.
Proceedings of the Computer Analysis of Images and Patterns, 6th International Conference, 1995

1994
Unique reconstruction of piecewise-smooth images by minimizing strictly convex nonquadratic functionals.
Journal of Mathematical Imaging and Vision, 1994

A nonlinear regularization approach to early vision.
Biological Cybernetics, 1994

A Variational Approach to the Design of Early Vision Algorithms.
Proceedings of the Theoretical Foundations of Computer Vision, 1994

Segmentation of visual motion by minimizing convex non-quadratic functionals.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

Learning motion trajectories via self-organization.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

1993
On Functionals with Greyvalue-Controlled Smoothness Terms for Determining Optical Flow.
IEEE Trans. Pattern Anal. Mach. Intell., 1993

An efficient approach to the identification of characteristic intensity variations.
Image Vision Comput., 1993

Architekturkonzepte zur Bildauswertung.
Proceedings of the Grundlagen und Anwendungen der Künstlichen Intelligenz, 1993

Nichtlineare Diffusion zur Integration visueller Daten-Anwendung auf Kernspintomogramme.
Proceedings of the Mustererkennung 1993, 1993

1992
Computation of discontinuous optical flow by domain decomposition and shape optimization.
International Journal of Computer Vision, 1992

Ein Ansatz zur effizienten und eindeutigen Rekonstruktion stückweise glatter Funktionen.
Proceedings of the Mustererkennung 1992, 1992

1991
Funktionalanalytische Methoden zur Gewinnung von Bewegungsinformation aus TV-Bildfolgen.
PhD thesis, 1991

Determining optical flow for irregular domains by minimizing quadratic functionals of a certain class.
International Journal of Computer Vision, 1991

1990
Automatische Bestimmung der Trajektorien von sich bewegenden Objekten aus einer Bildfolge.
Proceedings of the Mustererkennung 1990, 1990

Computation of discontinous optical flow by domain decomposition and shape optimization.
Proceedings of the British Machine Vision Conference, 1990

1989
Zur Schätzung von Geschwindigkeitsvektorferldern in Bildfolgen mit einer richtungsabhängigen Glattheitsforderung.
Proceedings of the Mustererkennung 1989, 1989


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