
Assignment Flows for Data Labeling on Graphs: Convergence and Stability
The assignment flow recently introduced in the J. Math. Imaging and Visi...
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Superiorization vs. Accelerated Convex Optimization: The Superiorized/Regularized LeastSquares Case
In this paper we conduct a study of both superiorization and optimizatio...
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SelfAssignment Flows for Unsupervised Data Labeling on Graphs
This paper extends the recently introduced assignment flow approach for ...
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Learning Adaptive Regularization for Image Labeling Using Geometric Assignment
We study the inverse problem of model parameter learning for pixelwise i...
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ContinuousDomain Assignment Flows
Assignment flows denote a class of dynamical models for contextual data ...
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Approximate Variational Inference Based on a Finite Sample of Gaussian Latent Variables
Variational methods are employed in situations where exact Bayesian infe...
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Unsupervised Assignment Flow: Label Learning on Feature Manifolds by Spatially Regularized Geometric Assignment
This paper introduces the unsupervised assignment flow that couples the ...
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Fast Multivariate LogConcave Density Estimation
We present a computational approach to logconcave density estimation. T...
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Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment
We introduce a novel approach to Maximum A Posteriori inference based on...
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SumProduct Graphical Models
This paper introduces a new probabilistic architecture called SumProduc...
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Symmetryfree SDP Relaxations for Affine Subspace Clustering
We consider clustering problems where the goal is to determine an optima...
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Joint Recursive Monocular Filtering of Camera Motion and Disparity Map
Monocular scene reconstruction is essential for modern applications such...
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A Geometric Approach to Color Image Regularization
We present a new vectorial total variation method that addresses the pro...
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Image Labeling by Assignment
We introduce a novel geometric approach to the image labeling problem. A...
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Multicuts and Perturb & MAP for Probabilistic Graph Clustering
We present a probabilistic graphical model formulation for the graph clu...
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Partial Optimality by Pruning for MAPInference with General Graphical Models
We consider the energy minimization problem for undirected graphical mod...
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Globally Optimal Joint Image Segmentation and Shape Matching Based on Wasserstein Modes
A functional for joint variational object segmentation and shape matchin...
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Solving QVIs for Image Restoration with Adaptive Constraint Sets
We consider a class of quasivariational inequalities (QVIs) for adaptiv...
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Shape from Texture using Locally Scaled Point Processes
Shape from texture refers to the extraction of 3D information from 2D im...
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Contour Manifolds and Optimal Transport
Describing shapes by suitable measures in object segmentation, as propos...
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Convex Variational Image Restoration with Histogram Priors
We present a novel variational approach to image restoration (e.g., deno...
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Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem
We consider a variational convex relaxation of a class of optimal partit...
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Continuous Multiclass Labeling Approaches and Algorithms
We study convex relaxations of the image labeling problem on a continuou...
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Christoph Schnörr
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Professor of Mathematics and Computer Science, Heidelberg University