*SSVM07*
* ***Scale-Space**

* 3D Object Recognition by Eigen-Scale-Space of Contours

* Anisotropic alpha-Kernels and Associated Flows

* Bayesian Non-local Means Filter, Image Redundancy and Adaptive Dictionaries for Noise Removal

* Beauty with Variational Methods: An Optic Flow Approach to Hairstyle Simulation

* Best Basis Compressed Sensing

* Blur Invariant Image Priors

* Bounds on the Minimizers of (nonconvex) Regularized Least-Squares

* Combining Curvature Motion and Edge-Preserving Denoising

* Combining Different Types of Scale Space Interest Points Using Canonical Sets

* Consistent Spatio-temporal Motion Estimator for Atmospheric Layers, A

* Convex Inverse Scale Spaces

* Coordinate-Free Diffusion over Compact Lie-Groups

* Counter-Examples for Bayesian MAP Restoration

* Curve Evolution in Subspaces

* Dense Optical Flow Estimation from the Monogenic Curvature Tensor

* Detecting Regions of Dynamic Texture

* Detection and Completion of Filaments: A Vector Field and PDE Approach

* Direct Shape-from-Shading with Adaptive Higher Order Regularisation

* Discrete Regularization on Weighted Graphs for Image and Mesh Filtering

* Efficient Beltrami Filtering of Color Images Via Vector Extrapolation

* Efficient Segmentation of Piecewise Smooth Images

* Faithful Recovery of Vector Valued Functions from Incomplete Data Recolorization and Art Restoration

* Fast and Accurate Gaussian Derivatives Based on B-Splines

* Feature Vector Similarity Based on Local Structure

* Full Affine Wavelets Are Scale-Space with a Twist

* Fuzzy Region Competition: A Convex Two-Phase Segmentation Framework

* Generic Approach to the Filtering of Matrix Fields with Singular PDEs, A

* Generic Maximum Likely Scale Selection

* Geometric Sampling of Manifolds for Image Representation and Processing

* Geometric Variational Framework for Simultaneous Registration and Parcellation of Homologous Surfaces, A

* Geometric-Functional-Based Image Segmentation and Inpainting, A

* High Order Finite Co-volume Scheme for Denoising Using Radial Basis Functions, An

* Histogram Based Segmentation Using Wasserstein Distances

* Identification of Grain Boundary Contours at Atomic Scale

* Iterated Nonlocal Means for Texture Restoration

* Jet Metric, The

* Kullback Leibler Divergence Based Curve Matching Method

* Level Set Methods for Watershed Image Segmentation

* Linear Image Reconstruction by Sobolev Norms on the Bounded Domain

* Maximum Likelihood Metameres for Local 2nd Order Image Structure of Natural Images

* Method for the Transport and Registration of Images on Implicit Surfaces, A

* Modeling Foveal Vision

* Motion Compensated Video Super Resolution

* Mumford-Shah Regularizer with Spatial Coherence

* New Possibilities with Sobolev Active Contours

* Non-negative Sparse Modeling of Textures

* Nonconvex Model to Remove Multiplicative Noise, A

* Nonlinear Diffusion on the 2D Euclidean Motion Group

* Numerical Invariantization for Morphological PDE Schemes

* On the Statistical Interpretation of the Piecewise Smooth Mumford-Shah Functional

* Paretian Similarity for Partial Comparison of Non-rigid Objects

* Piecewise Constant Level Set Method for 3D Image Segmentation

* Region Based Image Segmentation Using a Modified Mumford-Shah Algorithm

* Restoration of Images with Piecewise Space-Variant Blur

* Riemannian Curvature-Driven Flows for Tensor-Valued Data

* Salient Regions from Scale-Space Trees

* Scale Selection for Compact Scale-Space Representation of Vector-Valued Images

* Scale Spaces on Lie Groups

* Scale-Space Clustering with Recursive Validation

* Scale-Space Reeb-Graph of Topological Invariants of Images and Its Applications to Content Identification, A

* Segmentation Under Occlusions Using Selective Shape Prior

* Solving the Chan-Vese Model by a Multiphase Level Set Algorithm Based on the Topological Derivative

* Some Remarks on Perspective Shape-from-Shading Models

* Space-Time Segmentation Based on a Joint Entropy with Estimation of Nonparametric Distributions

* Spatio-temporal Scale-Spaces

* Super-Resolution Using Sub-band Constrained Total Variation

* Texture Synthesis and Modification with a Patch-Valued Wavelet Transform

* Total Variation Minimization and Graph Cuts for Moving Objects Segmentation

* Towards Segmentation Based on a Shape Prior Manifold

* TV-Stokes Denoising Algorithm, A

* Uniform and Textured Regions Separation in Natural Images Towards MPM Adaptive Denoising

* Variational Approach for 3D Motion Estimation of Incompressible PIV Flows, A

* Variational Approach for Multi-valued Velocity Field Estimation in Transparent Sequences, A

* Variational Framework for Adaptive Satellite Images Segmentation, A

* Variational Framework for Spatio-temporal Smoothing of Fluid Motions, A

* Variational Framework for the Simultaneous Segmentation and Object Behavior Classification of Image Sequences, A

* Variational Method with a Noise Detector for Impulse Noise Removal, A

* Variational Origin of Motion by Gaussian Curvature, The

* Vector-Valued Image Interpolation by an Anisotropic Diffusion-Projection PDE

80 for SSVM07

*SSVM09*
* ***Scale-Space**

* Adaptation of Eikonal Equation over Weighted Graph

* Anisotropic Fourth-Order Partial Differential Equation for Noise Removal, An

* Anisotropic Regularization for Inverse Problems with Application to the Wiener Filter with Gaussian and Impulse Noise

* Anisotropic Smoothing Using Double Orientations

* Augmented Lagrangian Method, Dual Methods and Split Bregman Iteration for ROF Model

* Basic Image Features (BIFs) Arising from Approximate Symmetry Type

* Bregman-EM-TV Methods with Application to Optical Nanoscopy

* Coarse-to-Fine Image Reconstruction Based on Weighted Differential Features and Background Gauge Fields

* Combined Segmentation and Registration Framework with a Nonlinear Elasticity Smoother, A

* Composed Segmentation of Tubular Structures by an Anisotropic PDE Model

* Computational Geometry-Based Scale-Space and Modal Image Decomposition Application to Light Video-Microscopy Imaging

* Convergence of a Central-Difference Discretization of Rudin-Osher-Fatemi Model for Image Denoising, The

* Convex Multi-class Image Labeling by Simplex-Constrained Total Variation

* Dual Formulation of the TV-Stokes Algorithm for Image Denoising, A

* Edge-Enhanced Image Reconstruction Using (TV) Total Variation and Bregman Refinement

* Edge-Preserving Multilevel Method for Deblurring, Denoising, and Segmentation, An

* Elasticity Approach to Principal Modes of Shape Variation, An

* Enhancement of Blurred and Noisy Images Based on an Original Variant of the Total Variation

* Extraction of the Intercellular Skeleton from 2D Images of Embryogenesis Using Eikonal Equation and Advective Subjective Surface Method

* Extrapolation of Vector Fields Using the Infinity Laplacian and with Applications to Image Segmentation

* Fast Dejittering for Digital Video Frames

* Fast Shape from Shading for Phong-Type Surfaces

* Finsler Geometry on Higher Order Tensor Fields and Applications to High Angular Resolution Diffusion Imaging

* From a Single Point to a Surface Patch by Growing Minimal Paths

* Generic Scene Recovery Using Multiple Images

* Geodesically Linked Active Contours: Evolution Strategy Based on Minimal Paths

* Geometric PDE for Interpolation of M-Channel Data, A

* Graph Cut Optimization for the Piecewise Constant Level Set Method Applied to Multiphase Image Segmentation

* Highlight on a Feature Extracted at Fine Scales: The Pointwise Lipschitz Regularity

* Highly Accurate PDE-Based Morphology for General Structuring Elements

* Hyperbolic Numerics for Variational Approaches to Correspondence Problems

* Image Denoising by Harmonic Mean Curvature Flow

* Image Denoising Using TV-Stokes Equation with an Orientation-Matching Minimization

* Implicit Method for Interpolating Two Digital Closed Curves on Parallel Planes, An

* L0-Norm and Total Variation for Wavelet Inpainting

* Line Enhancement and Completion via Linear Left Invariant Scale Spaces on SE(2)

* Local Scale Measure for Remote Sensing Images

* Locally Adaptive Total Variation Regularization

* Momentum Based Optimization Methods for Level Set Segmentation

* Multi-scale Feature Based Optic Flow Method for 3D Cardiac Motion Estimation, A

* Multi-scale Total Variation with Automated Regularization Parameter Selection for Color Image Restoration

* Multiplicative Noise Cleaning via a Variational Method Involving Curvelet Coefficients

* Non-local Approach to Shape from Ambient Shading, A

* Nonlinear Probabilistic Curvature Motion Filter for Positron Emission Tomography Images, A

* Nonlinear Tensor Diffusion in Segmentation of Meaningful Biological Structures from Image Sequences of Zebrafish Embryogenesis, The

* Nonlocal Variational Image Deblurring Models in the Presence of Gaussian or Impulse Noise

* On Level-Set Type Methods for Recovering Piecewise Constant Solutions of Ill-Posed Problems

* On Semi-implicit Splitting Schemes for the Beltrami Color Flow

* On the Rate of Structural Change in Scale Spaces

* Optimization of Convex Shapes: An Approach to Crystal Shape Identification

* Optimization of Divergences within the Exponential Family for Image Segmentation

* PDE-Driven Adaptive Morphology for Matrix Fields

* Pose Invariant Shape Prior Segmentation Using Continuous Cuts and Gradient Descent on Lie Groups

* Pre-image as Karcher Mean Using Diffusion Maps: Application to Shape and Image Denoising

* Projected Gradient Based Color Image Decomposition

* Scale Spaces on the 3D Euclidean Motion Group for Enhancement of HARDI Data

* Scale-Space Approach to Landmark Constrained Image Registration, A

* Schrödinger Equation for the Fast Computation of Approximate Euclidean Distance Functions, A

* Semi-supervised Segmentation Based on Non-local Continuous Min-Cut

* Sparsity Regularization for Radon Measures

* Spatio-Featural Scale-Space

* Split Bregman Algorithm, Douglas-Rachford Splitting and Frame Shrinkage

* Theoretical Foundations for Discrete Forward-and-Backward Diffusion Filtering

* Total-Variation Based Piecewise Affine Regularization

* Tracking Closed Curves with Non-linear Stochastic Filters

* Transitions of a Multi-scale Image Hierarchy Tree

* Tubular Anisotropy Segmentation

* Unconstrained Multiphase Thresholding Approach for Image Segmentation, An

* Validation of Watershed Regions by Scale-Space Statistics

* Variational Approach for Volume-to-Slice Registration, A

* Variational Model for Interactive Shape Prior Segmentation and Real-Time Tracking, A

72 for SSVM09

*SSVM11*
* ***Scale-Space**

* 3D Curve Evolution Algorithm with Tangential Redistribution for a Fully Automatic Finding of an Ideal Camera Path in Virtual Colonoscopy

* Adaptive Norm Algorithm for Image Restoration, An

* Amoeba Active Contours

* Anisotropic Non-Local Means with Spatially Adaptive Patch Shapes

* Beltrami-Mumford-Shah Functional, The

* Bifurcation of Segment Edge Curves in Scale Space

* Continuous Max-Flow Approach to Minimal Partitions with Label Cost Prior, A

* Correspondence-Less Approach to Matching of Deformable Shapes, A

* Curvature Minimization for Surface Reconstruction with Features

* Deblurring Space-Variant Blur by Adding Noisy Image

* Deformable Shape Retrieval by Learning Diffusion Kernels

* Discrete Minimum Distortion Correspondence Problems for Non-rigid Shape Matching

* Distance Images and Intermediate-Level Vision

* Efficient and Effective Tool for Image Segmentation, Total Variations and Regularization, An

* Efficient Beltrami Flow in Patch-Space

* Efficient Minimization of the Non-local Potts Model

* Either Fit to Data Entries or Locally to Prior: The Minimizers of Objectives with Nonsmooth Nonconvex Data Fidelity and Regularization

* Entropy-Scale Profiles for Texture Segmentation

* Fast Algorithms for p-elastica Energy with the Application to Image Inpainting and Curve Reconstruction

* Fast Augmented Lagrangian Method for Euler's Elastica Model, A

* Fast PDE-Based Image Analysis in Your Pocket

* Fiber Enhancement in Diffusion-Weighted MRI

* Framelet-Based Algorithm for Segmentation of Tubular Structures

* From a Modified Ambrosio-Tortorelli to a Randomized Part Hierarchy Tree

* From High Definition Image to Low Space Optimization

* Geodesic Voting Shape Prior to Constrain the Level Set Evolution for the Segmentation of Tubular Trees, A

* Group-Valued Regularization Framework for Motion Segmentation of Dynamic Non-rigid Shapes

* Hierarchical Matching of Non-rigid Shapes

* Human Activity Modeling as Brownian Motion on Shape Manifold

* Hybrid Scheme for Contour Detection and Completion Based on Topological Gradient and Fast Marching Algorithms: Application to Inpainting and Segmentation, A

* Joint ToF Image Denoising and Registration with a CT Surface in Radiation Therapy

* Kernel Bundle EPDiff: Evolution Equations for Multi-scale Diffeomorphic Image Registration

* Measuring Geodesic Distances via the Uniformization Theorem

* Multiscale Weighted Ensemble Kalman Filter for Fluid Flow Estimation

* Non-local Active Contours

* Nonlocal Surface Fairing

* Novel Schemes for Hyperbolic PDEs Using Osmosis Filters from Visual Computing

* Numerical Schemes for Linear and Non-linear Enhancement of DW-MRI

* Optic Flow Scale Space

* Optimising Spatial and Tonal Data for Homogeneous Diffusion Inpainting

* Over-Parameterized Optical Flow Using a Stereoscopic Constraint

* Photometric Heat Kernel Signatures

* Polyakov Action on (rho,G)-Equivariant Functions Application to Color Image Regularization

* Quadrature Nodes Meet Stippling Dots

* Regularization of Positive Definite Matrix Fields Based on Multiplicative Calculus

* Robust Edge Detection Using Mumford-Shah Model and Binary Level Set Method

* Robust Optic-Flow Estimation with Bayesian Inference of Model and Hyper-parameters

* Sampling Theorem for a 2D Surface, A

* Segmentation Quality Measure Based on Rich Descriptors and Classification Methods, A

* Shape Palindromes: Analysis of Intrinsic Symmetries in 2D Articulated Shapes

* Should We Search for a Global Minimizer of Least Squares Regularized with an L_0 Penalty to Get the Exact Solution of an under Determined Linear System?

* Simultaneous Denoising and Illumination Correction via Local Data-Fidelity and Nonlocal Regularization

* Statistical Multiresolution Strategy for Image Reconstruction, A

* Stochastic Models for Local Optical Flow Estimation

* Study on Convex Optimization Approaches to Image Fusion, A

* Sulci Detection in Photos of the Human Cortex Based on Learned Discriminative Dictionaries

* Supervised Scale-Invariant Segmentation (and Detection)

* Theoretical Foundations of Gaussian Convolution by Extended Box Filtering

* Variational Approach for Exact Histogram Specification, A

* Variational Image Denoising with Adaptive Constraint Sets

* Volumetric Nonlinear Anisotropic Diffusion on GPUs

* Wasserstein Barycenter and Its Application to Texture Mixing

* Wavelet-Based Fluid Motion Estimation

* Weak Statistical Constraints for Variational Stereo Imaging of Oceanic Waves

* Weakly Convex Coupling Continuous Cuts and Shape Priors

66 for SSVM11

*SSVM13*
* ***Scale-Space**

* Active Contours for Multi-region Image Segmentation with a Single Level Set Function

* Adaptive Second-Order Total Variation: An Approach Aware of Slope Discontinuities

* Anisotropic Third-Order Regularization for Sparse Digital Elevation Models

* B-SMART: Bregman-Based First-Order Algorithms for Non-negative Compressed Sensing Problems

* Blind Deblurring Using a Simplified Sharpness Index

* Cascadic Alternating Krylov Subspace Image Restoration Method, A

* Compression of Depth Maps with Segment-Based Homogeneous Diffusion

* Constrained Sparse Texture Synthesis

* Convex Generalizations of Total Variation Based on the Structure Tensor with Applications to Inverse Problems

* Defect Classification on Specular Surfaces Using Wavelets

* Discrete Deep Structure

* Epigraphical Projection for Solving Least Squares Anscombe Transformed Constrained Optimization Problems

* Expert Regularizers for Task Specific Processing

* Fast Algorithm for Exact Histogram Specification. Simple Extension to Colour Images, A

* Fully Discrete Theory for Linear Osmosis Filtering, A

* Generalised Perspective Shape from Shading in Spherical Coordinates

* Generalized Gradient on Vector Bundle: Application to Image Denoising

* Hierarchical Approach to Optimal Transport, A

* Image Matching Using Generalized Scale-Space Interest Points

* Layered Mean Shift Methods

* L_2-Stable Nonstandard Finite Differences for Anisotropic Diffusion

* Mathematically Justified Algorithm for Shape from Texture, A

* Minimizing TGV-Based Variational Models with Non-convex Data Terms

* Multi Scale Shape Index for 3D Object Recognition

* Optical Flow on Evolving Surfaces with an Application to the Analysis of 4D Microscopy Data

* Outlier Removal Power of the L1-Norm Super-Resolution

* Partial Optimality via Iterative Pruning for the Potts Model

* Perspective Photometric Stereo with Shadows

* Regularized Discrete Optimal Transport

* Scale and Edge Detection with Topological Derivatives

* Scale Space Operators on Hierarchies of Segmentations

* Solving the Uncalibrated Photometric Stereo Problem Using Total Variation

* Spectral Approach to Total Variation, A

* Static and Dynamic Texture Mixing Using Optimal Transport

* Targeted Iterative Filtering

* TGV Regularized Wavelet Based Zooming Model, A

* Variational Method for Computing Average Images of Biological Organs

* Variational Methods for Motion Deblurring with Still Background

* Weighted Patch-Based Reconstruction: Linking (Multi-view) Stereo to Scale Space

* Why Is the Census Transform Good for Robust Optic Flow Computation?

* Wimmelbild Analysis with Approximate Curvature Coding Distance Images

42 for SSVM13

*SSVM15*
* ***Scale-Space**

* Activity Identification and Local Linear Convergence of Douglas-Rachford/ADMM under Partial Smoothness

* Alternating Direction Method of Multiplier for Euler's Elastica-Based Denoising

* Artifact-Free Variational MPEG Decompression

* Asymptotic Behaviour of Total Generalised Variation

* Bilevel Image Denoising Using Gaussianity Tests

* Bilevel Optimization with Nonsmooth Lower Level Problems

* Bézier Curves in the Space of Images

* Cartoon-Texture-Noise Decomposition with Transport Norms

* Compressing Images with Diffusion- and Exemplar-Based Inpainting

* Computation and Visualization of Local Deformation for Multiphase Metallic Materials by Infimal Convolution of TV-Type Functionals

* Conditional Gaussian Models for Texture Synthesis

* Convex Color Image Segmentation with Optimal Transport Distances

* Convex Image Denoising via Non-Convex Regularization

* Data-Driven Sub-Riemannian Geodesics in SE(2)

* Deformable Image Registration with Automatic Non-Correspondence Detection

* Discrete Varifolds: A Unified Framework for Discrete Approximations of Surfaces and Mean Curvature

* Duality Principle for Image Regularization and Perceptual Color Correction Models

* Edge-Preserving Integration of a Normal Field: Weighted Least-Squares, TV and L1 Approaches

* Fast Minimization of Region-Based Active Contours Using the Shape Hessian of the Energy

* Fundamentals of Non-Local Total Variation Spectral Theory

* image registration framework for sliding motion with piecewise smooth deformations, An

* Infinite Dimensional Optimization Models and PDEs for Dejittering

* Interactive Multi-label Segmentation of RGB-D Images

* Invertible Orientation Scores of 3D Images

* L1-TV Algorithm for Robust Perspective Photometric Stereo with Spatially-Varying Lightings, A

* Linear Scale-Space Theory for Continuous Nonlocal Evolutions, A

* Luminance-Hue Specification in the RGB Space

* Morphological Equivalents of Relativistic and Alpha-Scale-Spaces, The

* Morphological Scale-Space Operators for Images Supported on Point Clouds

* Multiscale Texture Orientation Analysis Using Spectral Total-Variation Decomposition

* Multiview Depth Parameterisation with Second Order Regularisation

* New Approximation of a Scale Space Kernel on SE(3) and Applications in Neuroimaging

* Nonlocal Joint Segmentation Registration Model

* On Debiasing Restoration Algorithms: Applications to Total-Variation and Nonlocal-Means

* Optimizing the Relevance-Redundancy Tradeoff for Efficient Semantic Segmentation

* Partial Differential Equations of Bivariate Median Filters

* PDE-Based Color Morphology Using Matrix Fields

* Piecewise Geodesics for Vessel Centerline Extraction and Boundary Delineation with Application to Retina Segmentation

* Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts

* Reconstruction of Surfaces from Point Clouds Using a Lagrangian Surface Evolution Model

* Regularization with Sparse Vector Fields: From Image Compression to TV-type Reconstruction

* Robust Poisson Surface Reconstruction

* Scale-Space Theory for Auditory Signals

* Second Order Minimum Energy Filtering on SE3 with Nonlinear Measurement Equations

* Separable Time-Causal and Time-Recursive Spatio-Temporal Receptive Fields

* Solution-Driven Adaptive Total Variation Regularization

* Solving Minimal Surface Problems on Surfaces and Point Clouds

* Some Nonlocal Filters Formulation Using Functional Rearrangements

* Sparse Aggregation Framework for Optical Flow Estimation

* sparse algorithm for dense optimal transport, A

* Spectral Representations of One-Homogeneous Functionals

* Total Variation Restoration of Images Corrupted by Poisson Noise with Iterated Conditional Expectations

* Unsupervised Learning Using the Tensor Voting Graph

* Variational Exposure Fusion with Optimal Local Contrast

* Variational Model for Color Assignment, A

* Variational Perspective Shape from Shading

57 for SSVM15

*SSVM17*
* ***Scale-Space**

* Adaptive Discretizations for Non-smooth Variational Vision

* Analysis of a Physically Realistic Film Grain Model, and a Gaussian Film Grain Synthesis Algorithm

* Analytic Existence and Uniqueness Results for PDE-Based Image Reconstruction with the Laplacian

* Below the Surface of the Non-local Bayesian Image Denoising Method

* Beyond Multi-view Stereo: Shading-Reflectance Decomposition

* Blind Space-Variant Single-Image Restoration of Defocus Blur

* Bregman-Proximal Augmented Lagrangian Approach to Multiphase Image Segmentation

* Combining Contrast Invariant L1 Data Fidelities with Nonlinear Spectral Image Decomposition

* Comparison of Isotropic and Anisotropic Second Order Regularisers for Optical Flow, A

* Compressed Motion Sensing

* Convex Non-Convex Segmentation over Surfaces

* Corner Detection Using the Affine Morphological Scale Space

* Correlation-Based Dissimilarity Measure for Noisy Patches, A

* Denoising by Inpainting

* Denoising of Image Gradients and Constrained Total Generalized Variation

* Directional Total Generalized Variation Regularization for Impulse Noise Removal

* Dynamic Programming Solution to Bounded Dejittering Problems, A

* Dynamic Texture Recognition Using Time-Causal Spatio-Temporal Scale-Space Filters

* Efficient and Stable Two-Pixel Scheme for 2D Forward-and-Backward Diffusion, An

* Efficient Lagrangian Algorithm for an Anisotropic Geodesic Active Contour Model, An

* Evaluating Data Terms for Variational Multi-frame Super-Resolution

* Fast MBO Scheme for Multiclass Data Classification, A

* Graphical Model Parameter Learning by Inverse Linear Programming

* Hessian of Axially Symmetric Functions on SE(3) and Application in 3D Image Analysis, The

* Image Reconstruction by Multilabel Propagation

* Infimal Convolution Coupling of First and Second Order Differences on Manifold-Valued Images

* Learning Filter Functions in Regularisers by Minimising Quotients

* Local Mean Multiphase Segmentation with HMMF Models

* MAP Image Labeling Using Wasserstein Messages and Geometric Assignment

* Multinomial Level-Set Framework for Multi-region Image Segmentation

* Nonlinear Flows for Displacement Correction and Applications in Tomography

* Nonlinear Spectral Image Fusion

* Novel Convex Relaxation for Non-binary Discrete Tomography, A

* Numerical Integration of Riemannian Gradient Flows for Image Labeling

* On a Projected Weiszfeld Algorithm

* Optimal Patch Assignment for Statistically Constrained Texture Synthesis

* Optimal Transport for Manifold-Valued Images

* Optimal Transport-Based Restoration Method for Q-Ball Imaging, An

* Order-Adaptive Regularisation for Variational Optical Flow: Global, Local and in Between

* Performance Bounds for Cosparse Multichannel Signal Recovery via Collaborative-TV

* Probabilistic Framework for Curve Evolution, A

* Robust Blind Deconvolution with Convolution-Spectrum-Based Kernel Regulariser and Poisson-Noise Data Terms

* Semi-calibrated Near-Light Photometric Stereo

* Shape Matching by Time Integration of Partial Differential Equations

* Simultaneous Reconstruction and Segmentation of CT Scans with Shadowed Data

* Spatio-Temporal Scale Selection in Video Data

* Stochastic Image Reconstruction from Local Histograms of Gradient Orientation

* Subspace Least Squares Multidimensional Scaling

* Time Discrete Extrapolation in a Riemannian Space of Images

* Transport Based Image Morphing with Intensity Modulation

* Tubular Structure Segmentation Based on Heat Diffusion

* Unified Framework for the Restoration of Images Corrupted by Additive White Noise, A

* Unified Hyperelastic Joint Segmentation/Registration Model Based on Weighted Total Variation and Nonlocal Shape Descriptors, A

* User-Friendly Simultaneous Tomographic Reconstruction and Segmentation with Class Priors

* Vehicle X-ray Scans Registration: A One-Dimensional Optimization Problem

56 for SSVM17

*SSVM19*
* ***Scale-Space**

* Alternate Structural-Textural Video Inpainting for Spot Defects Correction in Movies

* Aorta Centerline Smoothing and Registration Using Variational Models

* Balanced Phase Field Model for Active Contours, A

* Compressing Audio Signals with Inpainting-Based Sparsification

* Computing Nonlinear Eigenfunctions via Gradient Flow Extinction

* Connection Between Image Processing and Artificial Neural Networks Layers Through a Geometric Model of Visual Perception, A

* Convex-Hull-Stripping Median Approximates Affine Curvature Motion, The

* Cortical-Inspired Model for Orientation-Dependent Contrast Perception: A Link with Wilson-Cowan Equations, A

* Deep Eikonal Solvers

* Direct MRI Segmentation from k-Space Data by Iterative Potts Minimization

* Fast Multi-layer Approximation to Semi-discrete Optimal Transport, A

* Finding Structure in Point Cloud Data with the Robust Isoperimetric Loss

* Fractional Harris-Laplace Feature Detector, The

* Functional Liftings of Vectorial Variational Problems with Laplacian Regularization

* Global Similarity with Additive Smoothness for Spectral Segmentation

* Iteration Method for X-Ray CT Reconstruction from Variable-Truncation Projection Data, An

* Iterative Sampled Methods for Massive and Separable Nonlinear Inverse Problems

* Joint CNN and Variational Model for Fully-Automatic Image Colorization

* Lattice Metric Space Application to Grain Defect Detection

* Learning Adaptive Regularization for Image Labeling Using Geometric Assignment

* Macrocanonical Models for Texture Synthesis

* Minimal Lipschitz Extensions for Vector-Valued Functions on Finite Graphs

* Multi-tasking to Correct: Motion-Compensated MRI via Joint Reconstruction and Registration

* New Iterative Method for CT Reconstruction with Uncertain View Angles, A

* Non-convex Nonseparable Approach to Single-Molecule Localization Microscopy, A

* PDE Evolutions for M-Smoothers: From Common Myths to Robust Numerics

* Preservation of Piecewise Constancy under TV Regularization with Rectilinear Anisotropy

* Provably Scale-Covariant Networks from Oriented Quasi Quadrature Measures in Cascade

* Pseudodifferential Inpainting: The Missing Link Between PDE- and RBF-Based Interpolation

* Refitting Solutions Promoted by L12 Sparse Analysis Regularizations with Block Penalties

* Segmentation of 2D and 3D Objects with Intrinsically Similarity Invariant Shape Regularisers

* Sparsification Scale-Spaces

* Splitting-Based Algorithm for Multi-view Stereopsis of Textureless Objects, A

* Stable Explicit p-Laplacian Flows Based on Nonlinear Eigenvalue Analysis

* Time Discrete Geodesics in Deep Feature Spaces for Image Morphing

* Total Directional Variation for Video Denoising

* Total Variation and Mean Curvature PDEs on the Space of Positions and Orientations

* Total Variation Based Regularizer Promoting Piecewise-Lipschitz Reconstructions, A

* Towards PDE-Based Video Compression with Optimal Masks and Optic Flow

* Unsupervised Labeling by Geometric and Spatially Regularized Self-assignment

* Variational Convex Hull Algorithm, A

* Variational Image Registration for Inhomogeneous-Resolution Pairs

* Variational Perspective on the Assignment Flow, A

* Variational Registration of Multiple Images with the SVD Based SqN Distance Measure

45 for SSVM19

*SSVM21*
* ***Scale-Space**

* Adversarially Learned Iterative Reconstruction for Imaging Inverse Problems

* Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-adaptive Regularisation, An

* Bregman Proximal Gradient Algorithms for Deep Matrix Factorization

* Challenges for Optical Flow Estimates in Elastography

* Clip: Cheap Lipschitz Training of Neural Networks

* Convergence Properties of a Randomized Primal-dual Algorithm with Applications to Parallel MRI

* Deep Image Prior Learning Algorithm for Joint Selective Segmentation and Registration, A

* Diffusion, Pre-Smoothing and Gradient Descent

* Equivariant Deep Learning via Morphological and Linear Scale Space PDEs on the Space of Positions and Orientations

* Extension of Mathematical Morphology in Riemannian Spaces

* Fast Morphological Dilation and Erosion for Grey Scale Images Using the Fourier Transform

* First Order Locally Orderless Registration

* First-order Geometric Multilevel Optimization for Discrete Tomography

* Geometric Deformation on Objects: Unsupervised Image Manipulation via Conjugation

* GMM Based Simultaneous Reconstruction and Segmentation in X-ray Ct Application

* Hessian Initialization Strategies for L-BFGS Solving Non-linear Inverse Problems

* Inpainting-based Video Compression in FullHD

* Inverse Scale Space Iterations for Non-convex Variational Problems Using Functional Lifting

* Invertible Neural Networks Versus MCMC for Posterior Reconstruction in Grazing Incidence X-ray Fluorescence

* Learning Linear Assignment Flows for Image Labeling via Exponential Integration

* Learning Local Regularization for Variational Image Restoration

* Local Culprits of Shape Complexity

* Lossless PDE-Based Compression of 3D Medical Images

* Low-rank Registration of Images Captured Under Unknown, Varying Lighting

* Multi-frame Super-resolution from Noisy Data

* Multiscale Registration

* Nonlinear Spectral Processing of Shapes via Zero-homogeneous Flows

* On the Correspondence Between Replicator Dynamics and Assignment Flows

* On the Geometric Mechanics of Assignment Flows for Metric Data Labeling

* Phase Retrieval via Polarization in Dynamical Sampling

* Quantisation Scale-spaces

* Residual Whiteness Principle for Automatic Parameter Selection in l2-l2 Image Super-Resolution Problems

* Scale-covariant and Scale-invariant Gaussian Derivative Networks

* Scaled and Adaptive Fista Algorithm for Signal-dependent Sparse Image Super-resolution Problems, A

* Sketched Learning for Image Denoising

* Sparsity-aided Variational Mesh Restoration

* Splines for Image Metamorphosis

* Synthetic Images as a Regularity Prior for Image Restoration Neural Networks

* Total Deep Variation for Noisy Exit Wave Reconstruction in Transmission Electron Microscopy

* Total-variation Mode Decomposition

* Towards Efficient Time Stepping for Numerical Shape Correspondence

* Towards Off-the-grid Algorithms for Total Variation Regularized Inverse Problems

* Translating Numerical Concepts for PDEs into Neural Architectures

* Variational Models for Signal Processing with Graph Neural Networks

* Wasserstein Generative Models for Patch-based Texture Synthesis

46 for SSVM21

*SSVM23*
* ***Scale-Space**

* alpha-Pixels for Hierarchical Analysis of Digital Objects

* Asymptotic Result for a Decoupled Nonlinear Elasticity-based Multiscale Registration Model

* Compressive Learning of Deep Regularization for Denoising

* Convergence Guarantees of Overparametrized Wide Deep Inverse Prior

* Deep Accurate Solver for the Geodesic Problem

* Deep Image Prior Regularized by Coupled Total Variation for Image Colorization

* Diffusion-shock Inpainting

* Efficient Line Search for Sparse Reconstruction, An

* Efficient Neural Generation of 4k Masks for Homogeneous Diffusion Inpainting

* EMNEF: Neural Fields for Embedded Variational Problems in Imaging

* Explicit Diffusion of Gaussian Mixture Model Based Image Priors

* Fast Marching Energy CNN

* Fluctuation-based Deconvolution in Fluorescence Microscopy Using Plug-and-play Denoisers

* Frame Decomposition of the Funk-Radon Transform, A

* Generalised Scale-space Properties for Probabilistic Diffusion Models

* Genharris-Resnet: A Rotation Invariant Neural Network Based on Elementary Symmetric Polynomials

* Geodesic Tracking of Retinal Vascular Trees with Optical and TV-Flow Enhancement in Se(2)

* Geometric Adaptations of PDE-G-CNNs

* Geometrically Aware Auto-Encoder for Multi-texture Synthesis, A

* Graph Laplacian and Neural Networks for Inverse Problems in Imaging: GraphLaNet

* Graph Laplacian for Semi-supervised Learning

* Gromov-Wasserstein Transfer Operators

* Hybrid Training of Denoising Networks to Improve the Texture Acutance of Digital Cameras

* Hypergraph P-Laplacians, Scale Spaces, and Information Flow in Networks

* Image Blending with Osmosis

* Image Comparison and Scaling via Nonlinear Elasticity

* Latent-space Disentanglement with Untrained Generator Networks for the Isolation of Different Motion Types in Video Data

* Learned Discretization Schemes for the Second-order Total Generalized Variation

* Learning Differential Invariants of Planar Curves

* Learning Posterior Distributions in Underdetermined Inverse Problems

* Limited Electrodes Models in Electrical Impedance Tomography Reconstruction

* Model is Worth Tens of Thousands of Examples, A

* Modeling Large-scale Joint Distributions and Inference by Randomized Assignment

* Multi-view Normal Estimation: Application to Slanted Plane-sweeping

* Natural Numerical Networks on Directed Graphs in Satellite Image Classification

* Off-the-grid Charge Algorithm for Curve Reconstruction in Inverse Problems

* On Photometric Stereo in the Presence of a Refractive Interface

* On the Inclusion of Topological Requirements in CNNs for Semantic Segmentation Applied to Radiotherapy

* On the Remarkable Efficiency of Smart

* On Trainable Multiplicative Noise Removal Models

* Optimal Transport Between GMM for Multiscale Texture Synthesis

* Partial Shape Similarity by Multi-Metric Hamiltonian Spectra Matching

* Piece-wise Constant Image Segmentation with a Deep Image Prior Approach

* Prony-based Super-Resolution Phase Retrieval of Sparse, Multidimensional Signals

* Proximal Residual Flows for Bayesian Inverse Problems

* Quantum State Assignment Flows

* Quasi-Newton Primal-dual Algorithm with Line Search, A

* Quaternary Image Decomposition with Cross-Correlation-Based Multi-Parameter Selection

* Regularized Material Decomposition for K-edge Separation in Hyperspectral Computed Tomography

* Relaxed Proximal Gradient Descent Algorithm for Convergent Plug-and-play with Proximal Denoiser, A

* Resolution-invariant Image Classification Based on Fourier Neural Operators

* Segmenting MR Images Through Texture Extraction and Multiplicative Components Optimization

* Stochastic Gradient Descent for Linear Inverse Problems in Variable Exponent Lebesgue Spaces

* Surface Reconstruction from Noisy Point Cloud Using Directional G-norm

* Theoretical Foundations for Pseudo-inversion of Nonlinear Operators

* Variational Approach to the Flow of Sobolev-Diffeomorphisms Model, The

* Wasserstein Gradient Flows of the Discrepancy with Distance Kernel on the Line

58 for SSVM23

Last update:31-Aug-23 11:06:24

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