Christoph Schnörr

ORCID

Publication Activity (10 Years)

Years Active: 1989-2024
Publications (10 Years): 88

Top Venues

CoRR

SSVM

GCPR

J. Math. Imaging Vis.

Karlsruhe Institute of Technology, Germany (PHD)

Education History

Karlsruhe Institute of Technology, Germany

PHD

Publications

Bastian Boll, Daniel Gonzalez-Alvarado, Christoph Schnörr
Generative Modeling of Discrete Joint Distributions by E-Geodesic Flow Matching on Assignment Manifolds. CoRR (2024)
Peter Sorrenson, Daniel Behrend-Uriarte, Christoph Schnörr, Ullrich Köthe
Learning Distances from Data with Normalizing Flows and Score Matching. CoRR (2024)
Felix Draxler, Stefan Wahl, Christoph Schnörr, Ullrich Köthe
On the Universality of Coupling-based Normalizing Flows. CoRR (2024)
Bastian Boll, Jonas Cassel, Peter Albers, Stefania Petra, Christoph Schnörr
A Geometric Embedding Approach to Multiple Games and Multiple Populations. CoRR (2024)
Enrique Fita Sanmartín, Christoph Schnörr, Fred A. Hamprecht
The Central Spanning Tree Problem. CoRR (2024)
Bastian Boll, Daniel Gonzalez-Alvarado, Stefania Petra, Christoph Schnörr
Generative Assignment Flows for Representing and Learning Joint Distributions of Discrete Data. CoRR (2024)
Bastian Boll, Jonathan Schwarz, Daniel Gonzalez-Alvarado, Dmitrij Sitenko, Stefania Petra, Christoph Schnörr
Modeling Large-Scale Joint Distributions and Inference by Randomized Assignment. SSVM (2023)
Felix Draxler, Lars Kühmichel, Armand Rousselot, Jens Müller, Christoph Schnörr, Ullrich Köthe
On the Convergence Rate of Gaussianization with Random Rotations. CoRR (2023)
Jonathan Schwarz, Jonas Cassel, Bastian Boll, Martin Gärttner, Peter Albers, Christoph Schnörr
Quantum State Assignment Flows. Entropy 25 (9) (2023)
Jonathan Schwarz, Bastian Boll, Daniel Gonzalez-Alvarado, Dmitrij Sitenko, Martin Gärttner, Peter Albers, Christoph Schnörr
Quantum State Assignment Flows. SSVM (2023)
Dmitrij Sitenko, Bastian Boll, Christoph Schnörr
A Nonlocal Graph-PDE and Higher-Order Geometric Integration for Image Labeling. SIAM J. Imaging Sci. 16 (1) (2023)
Jonathan Schwarz, Jonas Cassel, Bastian Boll, Martin Gärttner, Peter Albers, Christoph Schnörr
Quantum State Assignment Flows. CoRR (2023)
Alexander Zeilmann, Stefania Petra, Christoph Schnörr
Learning Linearized Assignment Flows for Image Labeling. J. Math. Imaging Vis. 65 (1) (2023)
Bastian Boll, Christoph Schnörr
On Certified Generalization in Structured Prediction. CoRR (2023)
David Schnörr, Christoph Schnörr
Learning system parameters from turing patterns. Mach. Learn. 112 (9) (2023)
Max Kahl, Stefania Petra, Christoph Schnörr, Gabriele Steidl, Matthias Zisler
On the Remarkable Efficiency of SMART. SSVM (2023)
Felix Draxler, Lars Kühmichel, Armand Rousselot, Jens Müller, Christoph Schnörr, Ullrich Köthe
On the Convergence Rate of Gaussianization with Random Rotations. ICML (2023)
Christian Homeyer, Christoph Schnörr
On Moving Object Segmentation from Monocular Video with Transformers. ICCV (Workshops) (2023)
Bastian Boll, Christoph Schnörr
On Certified Generalization in Structured Prediction. NeurIPS (2023)
Felix Draxler, Christoph Schnörr, Ullrich Köthe
Whitening Convergence Rate of Coupling-based Normalizing Flows. CoRR (2022)
Christian Homeyer, Oliver Lange, Christoph Schnörr
Multi-view Monocular Depth and Uncertainty Prediction with Deep SfM in Dynamic Environments. ICPRAI (1) (2022)
Christian Homeyer, Oliver Lange, Christoph Schnörr
Multi-view Monocular Depth and Uncertainty Prediction with Deep SfM in Dynamic Environments. CoRR (2022)
Dmitrij Sitenko, Bastian Boll, Christoph Schnörr
A Nonlocal Graph-PDE and Higher-Order Geometric Integration for Image Labeling. CoRR (2022)
Bastian Boll, Alexander Zeilmann, Stefania Petra, Christoph Schnörr
Self-Certifying Classification by Linearized Deep Assignment. CoRR (2022)
Felix Draxler, Christoph Schnörr, Ullrich Köthe
Whitening Convergence Rate of Coupling-based Normalizing Flows. NeurIPS (2022)
Daniel Gonzalez-Alvarado, Alexander Zeilmann, Christoph Schnörr
Quantifying Uncertainty of Image Labelings Using Assignment Flows. GCPR (2021)
Dmitrij Sitenko, Bastian Boll, Christoph Schnörr
Assignment Flow for Order-Constrained OCT Segmentation. Int. J. Comput. Vis. 129 (11) (2021)
Bastian Boll, Jonathan Schwarz, Christoph Schnörr
On the Correspondence Between Replicator Dynamics and Assignment Flows. SSVM (2021)
Alexander Zeilmann, Stefania Petra, Christoph Schnörr
Learning Linearized Assignment Flows for Image Labeling. CoRR (2021)
David Schnörr, Christoph Schnörr
Learning System Parameters from Turing Patterns. CoRR (2021)
Alexander Zeilmann, Stefania Petra, Christoph Schnörr
Learning Linear Assignment Flows for Image Labeling via Exponential Integration. SSVM (2021)
Fabrizio Savarino, Peter Albers, Christoph Schnörr
On the Geometric Mechanics of Assignment Flows for Metric Data Labeling. SSVM (2021)
Dmitrij Sitenko, Bastian Boll, Christoph Schnörr
Assignment Flows and Nonlocal PDEs on Graphs. GCPR (2021)
Ruben Hühnerbein, Fabrizio Savarino, Stefania Petra, Christoph Schnörr
Learning Adaptive Regularization for Image Labeling Using Geometric Assignment. J. Math. Imaging Vis. 63 (2) (2021)
Jonathan Schwarz, Felix Draxler, Ullrich Köthe, Christoph Schnörr
Riemannian SOS-Polynomial Normalizing Flows. GCPR (2020)
Matthias Zisler, Artjom Zern, Stefania Petra, Christoph Schnörr
Self-Assignment Flows for Unsupervised Data Labeling on Graphs. SIAM J. Imaging Sci. 13 (3) (2020)
Dmitrij Sitenko, Bastian Boll, Christoph Schnörr
Assignment Flow for Order-Constrained OCT Segmentation. GCPR (2020)
Dmitrij Sitenko, Bastian Boll, Christoph Schnörr
Assignment Flow for Order-Constrained OCT Segmentation. CoRR (2020)
Felix Draxler, Jonathan Schwarz, Christoph Schnörr, Ullrich Köthe
Characterizing the Role of a Single Coupling Layer in Affine Normalizing Flows. GCPR (2020)
Mattia Desana, Christoph Schnörr
Sum-product graphical models. Mach. Learn. 109 (1) (2020)
Artjom Zern, Alexander Zeilmann, Christoph Schnörr
Assignment Flows for Data Labeling on Graphs: Convergence and Stability. CoRR (2020)
Artjom Zern, Matthias Zisler, Stefania Petra, Christoph Schnörr
Unsupervised Assignment Flow: Label Learning on Feature Manifolds by Spatially Regularized Geometric Assignment. J. Math. Imaging Vis. 62 (6-7) (2020)
Nikolaos Gianniotis, Christoph Schnörr, Christian Molkenthin, Sanjay Singh Bora
Approximate Variational Inference Based on a Finite Sample of Gaussian Latent Variables. CoRR (2019)
Artjom Zern, Matthias Zisler, Stefania Petra, Christoph Schnörr
Unsupervised Assignment Flow: Label Learning on Feature Manifolds by Spatially Regularized Geometric Assignment. CoRR (2019)
Yair Censor, Stefania Petra, Christoph Schnörr
Superiorization vs. Accelerated Convex Optimization: The Superiorized/Regularized Least-Squares Case. CoRR (2019)
Matthias Zisler, Artjom Zern, Stefania Petra, Christoph Schnörr
Self-Assignment Flows for Unsupervised Data Labeling on Graphs. CoRR (2019)
Ruben Hühnerbein, Fabrizio Savarino, Stefania Petra, Christoph Schnörr
Learning Adaptive Regularization for Image Labeling Using Geometric Assignment. CoRR (2019)
Fabrizio Savarino, Christoph Schnörr
Continuous-Domain Assignment Flows. CoRR (2019)
Ruben Hühnerbein, Fabrizio Savarino, Stefania Petra, Christoph Schnörr
Learning Adaptive Regularization for Image Labeling Using Geometric Assignment. SSVM (2019)
Leonid Kostrykin, Christoph Schnörr, Karl Rohr
Globally optimal segmentation of cell nuclei in fluorescence microscopy images using shape and intensity information. Medical Image Anal. 58 (2019)
Fabrizio Savarino, Christoph Schnörr
A Variational Perspective on the Assignment Flow. SSVM (2019)
Matthias Zisler, Artjom Zern, Stefania Petra, Christoph Schnörr
Unsupervised Labeling by Geometric and Spatially Regularized Self-assignment. SSVM (2019)
Fabian Rathke, Christoph Schnörr
Fast multivariate log-concave density estimation. Comput. Stat. Data Anal. 140 (2019)
Artjom Zern, Matthias Zisler, Freddie Åström, Stefania Petra, Christoph Schnörr
Unsupervised Label Learning on Manifolds by Spatially Regularized Geometric Assignment. GCPR (2018)
Leonid Kostrykin, Christoph Schnörr, Karl Rohr
Segmentation of cell nuclei using intensity-based model fitting and sequential convex programming. ISBI (2018)
Ruben Hühnerbein, Fabrizio Savarino, Freddie Åström, Christoph Schnörr
Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment. SIAM J. Imaging Sci. 11 (2) (2018)
Matthias Zisler, Fabrizio Savarino, Stefania Petra, Christoph Schnörr
Gradient Flows on a Riemannian Submanifold for Discrete Tomography. GCPR (2017)
Freddie Åström, Ruben Hühnerbein, Fabrizio Savarino, Judit Recknagel, Christoph Schnörr
MAP Image Labeling Using Wasserstein Messages and Geometric Assignment. SSVM (2017)
Ruben Hühnerbein, Fabrizio Savarino, Freddie Åström, Christoph Schnörr
Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment. CoRR (2017)
Fabrizio Savarino, Ruben Hühnerbein, Freddie Åström, Judit Recknagel, Christoph Schnörr
Numerical Integration of Riemannian Gradient Flows for Image Labeling. SSVM (2017)
Johannes Berger, Frank Lenzen, Florian Becker, Andreas Neufeld, Christoph Schnörr
Based on Nonlinear Observations. J. Math. Imaging Vis. 58 (1) (2017)
Matthias Zisler, Freddie Åström, Stefania Petra, Christoph Schnörr
Image Reconstruction by Multilabel Propagation. SSVM (2017)
Robert Dalitz, Stefania Petra, Christoph Schnörr
Compressed Motion Sensing. SSVM (2017)
Ecaterina Bodnariuc, Stefania Petra, Christoph Schnörr, Jason D. Voorneveld
A Local Spatio-Temporal Approach to Plane Wave Ultrasound Particle Image Velocimetry. GCPR (2017)
Katsushi Ikeuchi, Christoph Schnörr, Josef Sivic, René Vidal
Guest Editorial: Best Papers from ICCV 2015. Int. J. Comput. Vis. 125 (1-3) (2017)
Mattia Desana, Christoph Schnörr
Sum-Product Graphical Models. CoRR (2017)
Peter Markowsky, Svenja Reith, Tabea E. Zuber, Rainer König, Karl Rohr, Christoph Schnörr
Segmentation of cell structures using Model-Based Set Covering with iterative reweighting. ISBI (2017)
Freddie Åström, Christoph Schnörr
A geometric approach for color image regularization. Comput. Vis. Image Underst. 165 (2017)
Freddie Åström, Stefania Petra, Bernhard Schmitzer, Christoph Schnörr
Image Labeling by Assignment. J. Math. Imaging Vis. 58 (2) (2017)
Fabian Rathke, Mattia Desana, Christoph Schnörr
Locally Adaptive Probabilistic Models for Global Segmentation of Pathological OCT Scans. MICCAI (1) (2017)
Artjom Zern, Karl Rohr, Christoph Schnörr
Geometric Image Labeling with Global Convex Labeling Constraints. EMMCVPR (2017)
Ecaterina Bodnariuc, Stefania Petra, Christian Poelma, Christoph Schnörr
Parametric Dictionary-Based Velocimetry for Echo PIV. GCPR (2016)
Johannes Berger, Christoph Schnörr
Joint Recursive Monocular Filtering of Camera Motion and Disparity Map. CoRR (2016)
Mattia Desana, Christoph Schnörr
Expectation Maximization for Sum-Product Networks as Exponential Family Mixture Models. CoRR (2016)
Matthias Zisler, Stefania Petra, Claudius Schnörr, Christoph Schnörr
Discrete Tomography by Continuous Multilabeling Subject to Projection Constraints. GCPR (2016)
Freddie Åström, Stefania Petra, Bernhard Schmitzer, Christoph Schnörr
A Geometric Approach to Image Labeling. ECCV (5) (2016)
Matthias Zisler, Jörg Hendrik Kappes, Claudius Schnörr, Stefania Petra, Christoph Schnörr
Non-Binary Discrete Tomography by Continuous Non-Convex Optimization. IEEE Trans. Computational Imaging 2 (3) (2016)
Freddie Åström, Christoph Schnörr
Double-Opponent Vectorial Total Variation. ECCV (2) (2016)
Freddie Åström, Stefania Petra, Bernhard Schmitzer, Christoph Schnörr
Image Labeling by Assignment. CoRR (2016)
Francesco Silvestri, Gerhard Reinelt, Christoph Schnörr
Symmetry-free SDP Relaxations for Affine Subspace Clustering. CoRR (2016)
Freddie Åström, Christoph Schnörr
A Geometric Approach to Color Image Regularization. CoRR (2016)
Johannes Berger, Christoph Schnörr
Joint Recursive Monocular Filtering of Camera Motion and Disparity Map. GCPR (2016)
Paul Swoboda, Alexander Shekhovtsov, Jörg Hendrik Kappes, Christoph Schnörr, Bogdan Savchynskyy
Partial Optimality by Pruning for MAP-Inference with General Graphical Models. IEEE Trans. Pattern Anal. Mach. Intell. 38 (7) (2016)
Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr
Multicuts and Perturb & MAP for Probabilistic Graph Clustering. CoRR (2016)
Nikolaos Gianniotis, Christoph Schnörr, Christian Molkenthin, Sanjay Singh Bora
Approximate variational inference based on a finite sample of Gaussian latent variables. Pattern Anal. Appl. 19 (2) (2016)
Freddie Åström, Stefania Petra, Bernhard Schmitzer, Christoph Schnörr
The Assignment Manifold: A Smooth Model for Image Labeling. CVPR Workshops (2016)
Jörg Hendrik Kappes, Markus Speth, Gerhard Reinelt, Christoph Schnörr
Higher-order segmentation via multicuts. Comput. Vis. Image Underst. 143 (2016)
Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr
Multicuts and Perturb & MAP for Probabilistic Graph Clustering. J. Math. Imaging Vis. 56 (2) (2016)
Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr
Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts. SSVM (2015)
Johannes Berger, Andreas Neufeld, Florian Becker, Frank Lenzen, Christoph Schnörr
Second Order Minimum Energy Filtering on $${\text {SE}}_{3}$$ with Nonlinear Measurement Equations. SSVM (2015)
Andreas Neufeld, Johannes Berger, Florian Becker, Frank Lenzen, Christoph Schnörr
Estimating Vehicle Ego-Motion and Piecewise Planar Scene Structure from Optical Flow in a Continuous Framework. GCPR (2015)
Bernhard Schmitzer, Christoph Schnörr
Globally Optimal Joint Image Segmentation and Shape Matching Based on Wasserstein Modes. J. Math. Imaging Vis. 52 (3) (2015)
Andreas Biesdorf, Stefan Wörz, Hendrik von Tengg-Kobligk, Karl Rohr, Christoph Schnörr
3D segmentation of vessels by incremental implicit polynomial fitting and convex optimization. ISBI (2015)
Francesco Silvestri, Gerhard Reinelt, Christoph Schnörr
A Convex Relaxation Approach to the Affine Subspace Clustering Problem. GCPR (2015)
Jörg H. Kappes, Björn Andres, Fred A. Hamprecht, Christoph Schnörr, Sebastian Nowozin, Dhruv Batra, Sungwoong Kim, Bernhard X. Kausler, Thorben Kröger, Jan Lellmann, Nikos Komodakis, Bogdan Savchynskyy, Carsten Rother
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. Int. J. Comput. Vis. 115 (2) (2015)
Jörg Hendrik Kappes, Stefania Petra, Christoph Schnörr, Matthias Zisler
TomoGC: Binary Tomography by Constrained GraphCuts. GCPR (2015)
Freddie Åström, Christoph Schnörr
On coupled regularization for non-convex variational image enhancement. ACPR (2015)
Paul Swoboda, Alexander Shekhovtsov, Jörg Hendrik Kappes, Christoph Schnörr, Bogdan Savchynskyy
Partial Optimality by Pruning for MAP-Inference with General Graphical Models. CoRR (2014)
Fabian Rathke, Stefan Schmidt, Christoph Schnörr
Probabilistic intra-retinal layer segmentation in 3-D OCT images using global shape regularization. Medical Image Anal. 18 (5) (2014)
Andreea Denitiu, Stefania Petra, Claudius Schnörr, Christoph Schnörr
An Entropic Perturbation Approach to TV-Minimization for Limited-Data Tomography. DGCI (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Christoph Schnörr