Christoph Schnörr
Orcid: 0000-0002-8999-2338Affiliations:
- Heidelberg University, HCI, Germany
According to our database1,
Christoph Schnörr
authored at least 253 papers
between 1989 and 2024.
Collaborative distances:
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Bibliography
2024
CoRR, 2024
CoRR, 2024
Generative Assignment Flows for Representing and Learning Joint Distributions of Discrete Data.
CoRR, 2024
Generative Modeling of Discrete Joint Distributions by E-Geodesic Flow Matching on Assignment Manifolds.
CoRR, 2024
CoRR, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
SIAM J. Imaging Sci., March, 2023
J. Math. Imaging Vis., January, 2023
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Multi-view Monocular Depth and Uncertainty Prediction with Deep SfM in Dynamic Environments.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2022
2021
J. Math. Imaging Vis., 2021
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021
Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021
Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021
2020
SIAM J. Imaging Sci., 2020
Unsupervised Assignment Flow: Label Learning on Feature Manifolds by Spatially Regularized Geometric Assignment.
J. Math. Imaging Vis., 2020
Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020
Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020
2019
Globally optimal segmentation of cell nuclei in fluorescence microscopy images using shape and intensity information.
Medical Image Anal., 2019
Superiorization vs. Accelerated Convex Optimization: The Superiorized/Regularized Least-Squares Case.
CoRR, 2019
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2019
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 Sci., 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 SE<sub>3</sub> Based on Nonlinear Observations.
J. Math. Imaging Vis., 2017
Comput. Vis. Image Underst., 2017
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017
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
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017
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
IEEE Trans. Computational Imaging, 2016
IEEE Trans. Pattern Anal. Mach. Intell., 2016
Approximate variational inference based on a finite sample of Gaussian latent variables.
Pattern Anal. Appl., 2016
J. Math. Imaging Vis., 2016
Expectation Maximization for Sum-Product Networks as Exponential Family Mixture Models.
CoRR, 2016
Proceedings of the Computer Vision - ECCV 2016, 2016
Proceedings of the Computer Vision - ECCV 2016, 2016
Proceedings of the Pattern Recognition - 38th German Conference, 2016
Proceedings of the Pattern Recognition - 38th German Conference, 2016
Proceedings of the Pattern Recognition - 38th German Conference, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016
2015
Globally Optimal Joint Image Segmentation and Shape Matching Based on Wasserstein Modes.
J. Math. Imaging Vis., 2015
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems.
Int. J. Comput. Vis., 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
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
Proceedings of the Pattern Recognition - 37th German Conference, 2015
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 Sci., 2014
Probabilistic intra-retinal layer segmentation in 3-D OCT images using global shape regularization.
Medical Image Anal., 2014
Phase Transitions and Cosparse Tomographic Recovery of Compound Solid Bodies from Few Projections.
Fundam. Informaticae, 2014
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2014
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014
Proceedings of the Discrete Geometry for Computer Imagery, 2014
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
2013
SIAM J. Imaging Sci., 2013
COAL: a generic modelling and prototyping framework for convex optimization problems of variational image analysis.
Optim. Methods Softw., 2013
J. Math. Imaging Vis., 2013
J. Math. Imaging Vis., 2013
Guest Editorial: Variational Models, Convex Analysis and Numerical Optimization in Mathematical Imaging.
J. Math. Imaging Vis., 2013
Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences.
Int. J. Comput. Vis., 2013
Critical Parameter Values and Reconstruction Properties of Discrete Tomography: Application to Experimental Fluid Dynamics.
Fundam. Informaticae, 2013
A class of quasi-variational inequalities for adaptive image denoising and decomposition.
Comput. Optim. Appl., 2013
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013
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
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013
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
IEEE Trans. Image Process., 2012
IEEE Trans. Image Process., 2012
Int. J. Comput. Math., 2012
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
2011
IEEE Trans. Intell. Transp. Syst., 2011
Model-Based Multiple Rigid Object Detection and Registration in Unstructured Range Data.
Int. J. Comput. Vis., 2011
Adv. Data Sci. Adapt. Anal., 2011
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011
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
Proceedings of the Energy Minimazation Methods in Computer Vision and Pattern Recognition, 2011
Proceedings of the Energy Minimazation Methods in Computer Vision and Pattern Recognition, 2011
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 Process., 2010
Robust 3D object registration without explicit correspondence using geometric integration.
Mach. Vis. Appl., 2010
Int. J. Comput. Vis., 2010
Proceedings of the Computer Vision, 2010
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
J. Math. Imaging Vis., 2009
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009
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
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
Proceedings of the Pattern Recognition, 2009
2008
Pedestrian Detection and Tracking Using a Mixture of View-Based Shape-Texture Models.
IEEE Trans. Intell. Transp. Syst., 2008
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008
Proceedings of the Computer Vision, 2008
Proceedings of the Pattern Recognition, 2008
Proceedings of the Pattern Recognition, 2008
Proceedings of the Pattern Recognition, 2008
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
Proceedings of the Pattern Recognition, 2008
2007
SIAM J. Sci. Comput., 2007
J. Math. Imaging Vis., 2007
Interacting and Annealing Particle Filters: Mathematics and a Recipe for Applications.
J. Math. Imaging Vis., 2007
Evaluation of a convex relaxation to a quadratic assignment matching approach for relational object views.
Image Vis. Comput., 2007
Int. J. Comput. Vis., 2007
Proceedings of the Information Processing in Medical Imaging, 2007
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.
Int. J. Comput. Vis., 2006
A Multigrid Platform for Real-Time Motion Computation with Discontinuity-Preserving Variational Methods.
Int. J. Comput. Vis., 2006
Proceedings of the Combinatorial Image Analysis, 11th International Workshop, 2006
Proceedings of the Computer Vision, 2006
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
Proceedings of the Pattern Recognition, 2006
Proceedings of the Handbook of Mathematical Models in Computer Vision, 2006
2005
IEEE Trans. Image Process., 2005
Pattern Recognit., 2005
Int. J. Comput. Vis., 2005
Electron. Notes Discret. Math., 2005
Electron. Notes Discret. Math., 2005
Discret. Appl. Math., 2005
Proceedings of the Variational, 2005
Proceedings of the Scale Space and PDE Methods in Computer Vision, 2005
Proceedings of the Scale Space and PDE Methods in Computer Vision, 2005
Proceedings of the Scale Space and PDE Methods in Computer Vision, 2005
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2005
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2005
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
Real Time Imaging, 2004
Proceedings of the Complex Motion, First International Workshop, 2004
Proceedings of the Combinatorial Image Analysis, 10th InternationalWorkshop, 2004
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
Proceedings of the Computer Vision, 2004
Proceedings of the Computer Vision, 2004
Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004
Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004
Proceedings of the Bildverarbeitung für die Medizin 2004, Algorithmen - Systeme, 2004
2003
Pattern Recognit., 2003
Binary Partitioning, Perceptual Grouping, and Restoration with Semidefinite Programming.
IEEE Trans. Pattern Anal. Mach. Intell., 2003
Image Vis. Comput., 2003
Electron. Notes Discret. Math., 2003
Electron. Notes Discret. Math., 2003
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
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003
Proceedings of the Pattern Recognition, 2003
Proceedings of the Computer Analysis of Images and Patterns, 10th International Conference, 2003
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.
Int. J. Comput. Vis., 2002
Proceedings of the Computer Vision, 2002
Proceedings of the Pattern Recognition, 2002
Motion Competition: Variational Integration of Motion Segmentation and Shape Regularization.
Proceedings of the Pattern Recognition, 2002
Proceedings of the Pattern Recognition, 2002
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 Process., 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
J. Math. Imaging Vis., 2001
A Theoretical Framework for Convex Regularizers in PDE-Based Computation of Image Motion.
Int. J. Comput. Vis., 2001
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
Proceedings of the Pattern Recognition, 2001
Proceedings of the Pattern Recognition, 2001
2000
PDE - Based Preprocessing of Medical Images.
Künstliche Intell., 2000
Medical Computer Vision - Service Page.
Künstliche Intell., 2000
Variational Image Motion Computation: Theoretical Framework, Problems and Perspectives.
Proceedings of the Mustererkennung 2000, 2000
Proceedings of the Algebraic Frames for the Perception-Action Cycle, 2000
Proceedings of the Computer Vision and Applications, 2000
1999
Parameter-Free Elastic Deformation Approach for 2D and 3D Registration Using Prescribed Displacements.
J. Math. Imaging Vis., 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.
J. Math. Imaging Vis., 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
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
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
Proceedings of the Mustererkennung 1996, 1996
1995
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.
J. Math. Imaging Vis., 1994
Proceedings of the Theoretical Foundations of Computer Vision, 1994
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994
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
Image Vis. 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.
Int. J. Comput. Vis., 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.
Int. J. Comput. Vis., 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