Scale Space and Variational Methods in Computer Vision

for the Isolation of Different Motion Types in Video Data.- Natural Numerical Networks on Directed Graphs in Satellite Image Classification.- Piece-Wise Constant Image Segmentation with a Deep Image PriorApproach.- On the Inclusion of Topological Requirements in CNNs for Semantic Segmentation Applied to Radiotherapy.- Optimization for Imaging: Theory and Methods.- A Relaxed Proximal Gradient Descent Algorithm for Convergent Plug-and-Play with Proximal Denoiser.- Off-the-Grid Charge Algorithm for Curve Reconstruction in Inverse Problems.- Convergence Guarantees of Overparametrized Wide Deep Inverse Prior.- On the Remarkable Efficiency of SMART.- Wasserstein Gradient Flows of the Discrepancy with Distance Kernel on the Line.- A Quasi-Newton Primal-Dual Algorithm with Line Search.- Stochastic Gradient Descent for Linear Inverse Problems in Variable Exponent Lebesgue Spaces.- An Efficient Line Search for Sparse Reconstruction.- Learned Discretization Schemes for the Second-Order Total Generalized Variation.- Fluctuation-Based Deconvolution in Fluorescence Microscopy Using Plug-and-Play Denoisers.- Segmenting MR Images Through Texture Extraction and Multiplicative Components Optimization.- Scale Space, PDEs, Flow, Motion and Registration.- Geodesic Tracking of Retinal Vascular Trees with Optical and TV-Flow Enhancement in SE(2).- Geometric Adaptations of PDE-G-CNNs.- The Variational Approach to the Flow of Sobolev-Diffeomorphisms Model.- Image Comparison and Scaling via Nonlinear Elasticity.- Learning Differential Invariants of Planar Curves.- Diffusion-Shock Inpainting.- Generalised Scale-Space Properties for Probabilistic Diffusion Models.- Gromov-Wasserstein Transfer Operators.- Optimal Transport Between GMM for Multiscale Texture Synthesis.- Asymptotic Result for a Decoupled Nonlinear Elasticity-Based Multiscale Registration Model.- Image Blending with Osmosis.-  -Pixels for Hierarchical Analysis of Digital Objects.- Hypergraph p-Laplacians, Scale Spaces, and Information Flow in Networks.- On Photometric Stereo in the Presence of a Refractive Interface.- Multi-View Normal Estimation - Application to Slanted Plane-Sweeping.- Partial Shape Similarity by Multi-Metric Hamiltonian Spectra Matching.- Modeling Large-Scale Joint Distributions and Inference by RandomizedAssignment.- Quantum State Assignment Flows.