yusuke1997/dblp-id-title huggingface dataset:
Riemannian Drums, Anisotropic Curve Evolution and Segmentation
Deformable Shape Retrieval by Learning Diffusion Kernels
Parameter-Free Structure-Texture Image Decomposition by Unrolling
Multiscale Texture Orientation Analysis Using Spectral Total-Variation Decomposition
A Variational Approach for Exact Histogram Specification
Pre-image as Karcher Mean Using Diffusion Maps: Application to Shape and Image Denoising
MAP Image Labeling Using Wasserstein Messages and Geometric Assignment
Off-the-Grid Charge Algorithm for Curve Reconstruction in Inverse Problems
Scale Selection for Compact Scale-Space Representation of Vector-Valued Images
Morphing Active Contours
Deformable Image Registration with Automatic Non-Correspondence Detection
An Elasticity Approach to Principal Modes of Shape Variation
Invertible Orientation Scores of 3D Images
Texture Classification through Multiscale Orientation Histogram Analysis
Detecting Regions of Dynamic Texture
Aorta Centerline Smoothing and Registration Using Variational Models
Adaptation of Eikonal Equation over Weighted Graph
Group-Valued Regularization Framework for Motion Segmentation of Dynamic Non-rigid Shapes
Perfusion Analysis of Nonlinear Liver Ultrasound Images Based on Nonlinear Matrix Diffusion
Geometric-Variational Approach for Color Image Enhancement and Segmentation
Vector-Valued Image Interpolation by an Anisotropic Diffusion-Projection PDE
Anisotropic Third-Order Regularization for Sparse Digital Elevation Models
Alternating Direction Method of Multiplier for Euler's Elastica-Based Denoising
Edge-Enhanced Image Reconstruction Using (TV) Total Variation and Bregman Refinement
Efficient Beltrami Flow Using a Short Time Kernel
Global Convergence Rates of Nonlinear Diffusion for Time-Varying Images
Scale Space and Variational Methods in Computer Vision - 4th International Conference, SSVM 2013, Schloss Seggau, Leibnitz, Austria, June 2-6, 2013. Proceedings
Geometry of Isophote Curves
Robust Anisotropic Diffusion: Connections Between Robust Statistics, Line Processing, and Anisotropic Diffusion
A Splitting-Based Algorithm for Multi-view Stereopsis of Textureless Objects
Spatio-Featural Scale-Space
User-Friendly Simultaneous Tomographic Reconstruction and Segmentation with Class Priors
Nonlinear Spectral Image Fusion
A Geometric PDE for Interpolation of M-Channel Data
A Variational Framework for the Simultaneous Segmentation and Object Behavior Classification of Image Sequences
Lattice Boltzmann Models for Nonlinear Diffusion Filtering
A Variational Method with a Noise Detector for Impulse Noise Removal
Adaptive Discretizations for Non-smooth Variational Vision
Tubular Structure Segmentation Based on Heat Diffusion
Wavelet-Based Fluid Motion Estimation
Content Based Image Retrieval Using Multiscale Top Points
Edges as Outliers: Anisotropic Smoothing Using Local Image Statistics
Joint ToF Image Denoising and Registration with a CT Surface in Radiation Therapy
Scale-Space Filters and Their Robustness
A Study on Convex Optimization Approaches to Image Fusion
Luminance-Hue Specification in the RGB Space
Scale Space Technique for Word Segmentation in Handwritten Documents
Line Enhancement and Completion via Linear Left Invariant Scale Spaces on SE(2)
Fluctuation-Based Deconvolution in Fluorescence Microscopy Using Plug-and-Play Denoisers
Thin Nets Extraction Using a Multi-scale Approach
Tracking Closed Curves with Non-linear Stochastic Filters
A Continuous Max-Flow Approach to Minimal Partitions with Label Cost Prior
Blind Deblurring Using a Simplified Sharpness Index
Morphological Tools for Robust Key-Region Extraction and Video Shot Modeling
Approximating Non-linear Diffusion
Using the Complex Ginzburg-Landau Equation for Digital Inpainting in 2D and 3D
Image Denoising by Harmonic Mean Curvature Flow
Minimizing TGV-Based Variational Models with Non-convex Data Terms
Fiber Enhancement in Diffusion-Weighted MRI
Layered Mean Shift Methods
Graph Laplacian for Semi-supervised Learning
A Note on Two Classical Shock Filters and Their Asymptotics
Skeletons of 3D Shapes
A Generic Approach to the Filtering of Matrix Fields with Singular PDEs
Scale-Space Clustering with Recursive Validation
GET: The Connection Between Monogenic Scale-Space and Gaussian Derivatives
Deep Unrolling for Learning Optimal Spatially Varying Regularisation Parameters for Total Generalised Variation
A Multi-scale Line Filter with Automatic Scale Selection Based on the Hessian Matrix for Medical Image Segmentation
Correspondences between Wavelet Shrinkage and Nonlinear Diffusion
Sketched Learning for Image Denoising
Infinite Dimensional Optimization Models and PDEs for Dejittering
Minimal Lipschitz Extensions for Vector-Valued Functions on Finite Graphs
Using the Vector Distance Functions to Evolve Manifolds of Arbitrary Codimension
Multi-scale Total Variation with Automated Regularization Parameter Selection for Color Image Restoration
Provably Scale-Covariant Networks from Oriented Quasi Quadrature Measures in Cascade
Scale Space and Variational Methods in Computer Vision - 10th International Conference, SSVM 2025, Dartington, UK, May 18-22, 2025, Proceedings, Part I
Convex Image Denoising via Non-Convex Regularization
Stochastic Primal-Dual Three Operator Splitting Algorithm with Extension to Equivariant Regularization-by-Denoising
Finding Structure in Point Cloud Data with the Robust Isoperimetric Loss
A Variational Method for Curve Extraction
Supervised Scale-Invariant Segmentation (and Detection)
An Efficient and Effective Tool for Image Segmentation, Total Variations and Regularization
On Generalized Entropies and Scale-Space
PDE Evolutions for M-Smoothers: From Common Myths to Robust Numerics
Enhancement of Blurred and Noisy Images Based on an Original Variant of the Total Variation
Coarse-to-Fine Image Reconstruction Based on Weighted Differential Features and Background Gauge Fields
An Active Contour Model without Edges
Wasserstein Generative Models for Patch-Based Texture Synthesis
Proximal Residual Flows for Bayesian Inverse Problems
Blind Space-Variant Single-Image Restoration of Defocus Blur
What Do Features Tell about Images?
The Variational Approach to the Flow of Sobolev-Diffeomorphisms Model
Below the Surface of the Non-local Bayesian Image Denoising Method
Defect Classification on Specular Surfaces Using Wavelets
Shape Palindromes: Analysis of Intrinsic Symmetries in 2D Articulated Shapes
Scale Space and Variational Methods in Computer Vision - 9th International Conference, SSVM 2023, Santa Margherita di Pula, Italy, May 21-25, 2023, Proceedings
Bayesian Object Detection through Level Curves Selection
Deblurring Space-Variant Blur by Adding Noisy Image
Scale-Space Image Analysis Based on Hermite Polynomials Theory
Some Nonlocal Filters Formulation Using Functional Rearrangements
Computation of Generic Features for Object Classification
Analytic Existence and Uniqueness Results for PDE-Based Image Reconstruction with the Laplacian
Scale-Covariant and Scale-Invariant Gaussian Derivative Networks
Global Similarity with Additive Smoothness for Spectral Segmentation
A Model is Worth Tens of Thousands of Examples
Equivariant Bootstrap for Uncertainty Quantification in Image Classification
A Balanced Phase Field Model for Active Contours
New Possibilities with Sobolev Active Contours
The Stochastic Structure of Images
Learning Linear Assignment Flows for Image Labeling via Exponential Integration
Time-Continuous Sliding Motion Image Registration Using Stationary Velocity Fields for Respiratory Motion Interpolation
Joint CNN and Variational Model for Fully-Automatic Image Colorization
Total-Variation Mode Decomposition
Curvature Minimization for Surface Reconstruction with Features
Asymptotic Result for a Decoupled Nonlinear Elasticity-Based Multiscale Registration Model
Efficient Beltrami Flow in Patch-Space
Stabilised Nonlinear Inverse Diffusion for Approximating Hyperbolic PDEs
Multiresolution Approach to Biomedical Image Segmentation with Statistical Models of Appearance
A Variational Image Registration Approach Based on Curvature Scale Space
Riesz-Transforms Versus Derivatives: On the Relationship Between the Boundary Tensor and the Energy Tensor
Scale-Space Theories in Computer Vision, Second International Conference, Scale-Space'99, Corfu, Greece, September 26-27, 1999, Proceedings
Generic Multi-scale Segmentation and Curve Approximation Method
Image Registration, Optical Flow, and Local Rigidity
Inverse Scale Space Iterations for Non-convex Variational Problems Using Functional Lifting
Nonlocal Variational Image Deblurring Models in the Presence of Gaussian or Impulse Noise
Features in Scale Space: Progress on the 2D 2 nd Order Jet
Convex Color Image Segmentation with Optimal Transport Distances
Nonlinear Flows for Displacement Correction and Applications in Tomography
Isometric Embedding of Facial Surfaces into
Stability of Top-Points in Scale Space
A Novel Convex Relaxation for Non-binary Discrete Tomography
A Linear Image Reconstruction Framework Based on Sobolev Type Inner Products
Motion Compensated Video Super Resolution
Constrained Sparse Texture Synthesis
Computation and Visualization of Local Deformation for Multiphase Metallic Materials by Infimal Convolution of TV-Type Functionals
Resolution-Invariant Image Classification Based on Fourier Neural Operators
A Connection Between Image Processing and Artificial Neural Networks Layers Through a Geometric Model of Visual Perception
Perturbation-Aware Distributionally Robust Optimization for Inverse Problems
From a Modified Ambrosio-Tortorelli to a Randomized Part Hierarchy Tree
Estimation of the Optimal Variational Parameter via SNR Analysis
Fast Statistical Level Sets Image Segmentation for Biomedical Applications
Level Set Methods for Watershed Image Segmentation
Multi-Scale Active Shape Description
Quadrature Nodes Meet Stippling Dots
Epigraphical Projection for Solving Least Squares Anscombe Transformed Constrained Optimization Problems
The Convergence of a Central-Difference Discretization of Rudin-Osher-Fatemi Model for Image Denoising
Multi-Spectral Probabilistic Diffusion Using Bayesian Classification
Max-Sparsity Atomic Autoencoders with Application to Inverse Problems
Tubular Anisotropy Segmentation
Compressing Images with Diffusion- and Exemplar-Based Inpainting
Fast Minimization of Region-Based Active Contours Using the Shape Hessian of the Energy
A Unified Hyperelastic Joint Segmentation/Registration Model Based on Weighted Total Variation and Nonlocal Shape Descriptors
Partial Differential Equations of Bivariate Median Filters
A Non-convex Nonseparable Approach to Single-Molecule Localization Microscopy
A Variational Framework for Spatio-temporal Smoothing of Fluid Motions
A Variational Framework for Adaptive Satellite Images Segmentation
On the Remarkable Efficiency of SMART
Novel Schemes for Hyperbolic PDEs Using Osmosis Filters from Visual Computing
Weak Statistical Constraints for Variational Stereo Imaging of Oceanic Waves
A New Framework for Hierarchical Segmentation Using Similarity Analysis
Anisotropic alpha -Kernels and Associated Flows
Feature Vector Similarity Based on Local Structure
Image Blending with Osmosis
Kullback Leibler Divergence Based Curve Matching Method
An Adaptive Local Smoothing for Contour Figure Approximation
Convex Generalizations of Total Variation Based on the Structure Tensor with Applications to Inverse Problems
Space-Time Segmentation Based on a Joint Entropy with Estimation of Nonparametric Distributions
Splines for Image Metamorphosis
A Multigrid Approach to Image Processing
A Novel Interpretation of the Radon Transform's Ray and Pixel-Driven Discretizations Under Balanced Resolutions
Human Activity Modeling as Brownian Motion on Shape Manifold
Geometric Multiscale Representation of Numerical Images
On the Geometric Mechanics of Assignment Flows for Metric Data Labeling
Complex Diffusion Processes for Image Filtering
Histograms of Infinitesimal Neighbourhoods
Prediction of Parametric Surfaces for Multi-object Segmentation in 3D Biological Imaging
Regularity and Scale-Space Properties of Fractional High Order Linear Filtering
Denoising by Inpainting
Restoration of Images with Piecewise Space-Variant Blur
Multi-Scale Detection of Characteristic Figure Structures Using Principal Curvatures of Image Gray-Level Profile
Time Discrete Extrapolation in a Riemannian Space of Images
Scale Spaces on the 3D Euclidean Motion Group for Enhancement of HARDI Data
Iterated Nonlocal Means for Texture Restoration
Scale-Space Theories for Scalar and Vector Images
A Markov Random Field Approach to Multi-scale Shape Analysis
The Morphological Equivalents of Relativistic and Alpha-Scale-Spaces
A New Time Dependent Model Based on Level Set Motion for Nonlinear Deblurring and Noise Removal
Fast Marching to Moving Object Location
The Beltrami-Mumford-Shah Functional
Multiscale Weighted Ensemble Kalman Filter for Fluid Flow Estimation
Projected Gradient Based Color Image Decomposition
Multiview Depth Parameterisation with Second Order Regularisation
The Monogenic Scale Space on a Bounded Domain and Its Applications
Transport Based Image Morphing with Intensity Modulation
Multiscale Active Contours
Deep Accurate Solver for the Geodesic Problem
Counter-Examples for Bayesian MAP Restoration
Riemannian Curvature-Driven Flows for Tensor-Valued Data
A Compact and Multiscale Image Model Based on Level Sets
Directional Anisotropic Diffusion Applied to Segmentation of Vessels in 3D Images
A New Iterative Method for CT Reconstruction with Uncertain View Angles
A Scale Space for Contour Registration Using Minimal Surfaces
A Geometric-Functional-Based Image Segmentation and Inpainting
Quaternary Image Decomposition with Cross-Correlation-Based Multi-parameter Selection
Whiteness-Based Bilevel Estimation of Weighted TV Parameter Maps for Image Denoising
MAPS: Multiscale Attention-Based PreSegmentation of Color Images
Synthetic Images as a Regularity Prior for Image Restoration Neural Networks
A Consistent Spatio-temporal Motion Estimator for Atmospheric Layers
Interactive Multi-label Segmentation of RGB-D Images
Recursive Separable Schemes for Nonlinear Diffusion Filters
Simultaneous Reconstruction and Segmentation of CT Scans with Shadowed Data
Stable Explicit p-Laplacian Flows Based on Nonlinear Eigenvalue Analysis
Dynamic Scale-Space Theories
Variational Exposure Fusion with Optimal Local Contrast
Static and Dynamic Texture Mixing Using Optimal Transport
Fast Computation of Scale Normalised Gaussian Receptive Fields
Graph Laplacian and Neural Networks for Inverse Problems in Imaging: GraphLaNet
Computational Geometry-Based Scale-Space and Modal Image Decomposition
Hierarchical Matching of Non-rigid Shapes
Generic Maximum Likely Scale Selection
A Geodesic Voting Shape Prior to Constrain the Level Set Evolution for the Segmentation of Tubular Trees
Optimal Transport for Manifold-Valued Images
Graphical Model Parameter Learning by Inverse Linear Programming
A Complete System of Measurement Invariants for Abelian Lie Transformation Groups
Generalized Gradient on Vector Bundle - Application to Image Denoising
Scale-Space from a Level Lines Tree
Efficient Segmentation of Piecewise Smooth Images
Explicit Diffusion of Gaussian Mixture Model Based Image Priors
Entropy-Scale Profiles for Texture Segmentation
A Variational Perspective on the Assignment Flow
A Geometric Formulation of Gradient Descent for Variational Problems with Moving Surfaces
Weakly Convex Coupling Continuous Cuts and Shape Priors
The Hausdorff Dimension and Scale-Space Normalisation of Natural Images
Generalised Perspective Shape from Shading in Spherical Coordinates
Active Contours for Multi-region Image Segmentation with a Single Level Set Function
A Scale-Space Approach to Shape Similarity
Momentum Based Optimization Methods for Level Set Segmentation
Geometry Motivated Variational Segmentation for Color Images
Many-to-Many Matching of Scale-Space Feature Hierarchies Using Metric Embedding
Linear Spatio-Temporal Scale-Space
Geodesically Linked Active Contours: Evolution Strategy Based on Minimal Paths
A Probabilistic Framework for Curve Evolution
Identification of Grain Boundary Contours at Atomic Scale
Regularity Classes for Locally Orderless Images
PDE-Based Deconvolution with Forward-Backward Diffusivities and Diffusion Tensors
Wasserstein Barycenter and Its Application to Texture Mixing
A New Technique for Local Symmetry Estimation
Discontinuity-Preserving Computation of Variational Optic Flow in Real-Time
On the Duality of Scalar and Density Flows
Over-Parameterized Optical Flow Using a Stereoscopic Constraint
Why do we Regularise in Every Iteration for Imaging Inverse Problems?
Surface Reconstruction from Noisy Point Cloud Using Directional G-norm
3D Curve Evolution Algorithm with Tangential Redistribution for a Fully Automatic Finding of an Ideal Camera Path in Virtual Colonoscopy
Optimising Spatial and Tonal Data for Homogeneous Diffusion Inpainting
Segmentation of Shapes
Some Remarks on Perspective Shape-from-Shading Models
Meshless Shape Optimization Using Neural Networks and Partial Differential Equations on Graphs
Functional Liftings of Vectorial Variational Problems with Laplacian Regularization
Segmenting by Compression Using Linear Scale-Space and Watersheds
Reconstruction of Self-similar Functions from Scale-Space
Validation of Watershed Regions by Scale-Space Statistics
Families of Generalised Morphological Scale Spaces
Towards Segmentation Based on a Shape Prior Manifold
A Scale Space Method for Volume Preserving Image Registration
Multi Scale Shape Index for 3D Object Recognition
Variational Dense Motion Estimation Using the Helmholtz Decomposition
Compressive Learning of Deep Regularization for Denoising
The Influence of the gamma-Parameter on Feature Detection with Automatic Scale Selection
3D Shape Representation: Transforming Polygons into Voxels
Scale Space and Variational Methods in Computer Vision - Third International Conference, SSVM 2011, Ein-Gedi, Israel, May 29 - June 2, 2011, Revised Selected Papers
Optimal Transport Between GMM for Multiscale Texture Synthesis
Scale-Space Theory for Auditory Signals
Variational Image Registration for Inhomogeneous-Resolution Pairs
Learning Local Regularization for Variational Image Restoration
3D Object Recognition by Eigen-Scale-Space of Contours
Extrapolation of Vector Fields Using the Infinity Laplacian and with Applications to Image Segmentation
A Scale-Space Approach to Nonlocal Optical Flow Calculations
Scale Space and PDE Methods in Computer Vision, 5th International Conference, Scale-Space 2005, Hofgeismar, Germany, April 7-9, 2005, Proceedings
Extraction of the Intercellular Skeleton from 2D Images of Embryogenesis Using Eikonal Equation and Advective Subjective Surface Method
A Unified Framework for the Restoration of Images Corrupted by Additive White Noise
Basic Morphological Operations, Band-Limited Images and Sampling
Variational Method for Computing Average Images of Biological Organs
Spectral Representations of One-Homogeneous Functionals
A Comparison of Isotropic and Anisotropic Second Order Regularisers for Optical Flow
Variational Image Denoising with Adaptive Constraint Sets
Scale-Space Generation via Uncertainty Principles
Curve Evolution in Subspaces
Multi-Scale Contour Segmentation
Generic Scene Recovery Using Multiple Images
Computation of Ridges via Pullback Metrics from Scale Space
Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts
Self-Similarity of Noise in Scale-Space
Robust Optic-Flow Estimation with Bayesian Inference of Model and Hyper-parameters
Geometric Adaptations of PDE-G-CNNs
A Multiphase Level Set Framework for Motion Segmentation
Exploring Non-linear Diffusion: The Diffusion Echo
Solving the Uncalibrated Photometric Stereo Problem Using Total Variation
A Variational Model for Color Assignment
From High Definition Image to Low Space Optimization
Bounds on the Minimizers of (nonconvex) Regularized Least-Squares
Tracking of Multi-state Hand Models Using Particle Filtering and a Hierarchy of Multi-scale Image Features
The Maximal Scale Ridge
Negative Results for Multilevel Preconditioners in Image Deblurring
Histogram Based Segmentation Using Wasserstein Distances
A Frame Decomposition of the Funk-Radon Transform
Scale Space and Variational Methods in Computer Vision - 7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 - July 4, 2019, Proceedings
Artifact-Free Variational MPEG Decompression
Bregman-Proximal Augmented Lagrangian Approach to Multiphase Image Segmentation
On the Behavior of Spatial Critical Points under Gaussian Blurring. A Folklore Theorem and Scale-Space Constraints
Towards Off-the-grid Algorithms for Total Variation Regularized Inverse Problems
Pseudodifferential Inpainting: The Missing Link Between PDE- and RBF-Based Interpolation
Nonlocal Surface Fairing
Image Decomposition Application to SAR Images
Geometric Sampling of Manifolds for Image Representation and Processing
Beauty with Variational Methods: An Optic Flow Approach to Hairstyle Simulation
Vortex and Source Particles for Fluid Motion Estimation
Modeling Foveal Vision
Error-Bounds on Curvature Estimation
Scale Space Versus Topographic Map for Natural Images
Geodesic Active Contours Applied to Texture Feature Space
Self-calibrated Near-Light Photometric Stereo Using a Geometric Proxy
Modeling Large-Scale Joint Distributions and Inference by Randomized Assignment
Translating Numerical Concepts for PDEs into Neural Architectures
A Cortical-Inspired Model for Orientation-Dependent Contrast Perception: A Link with Wilson-Cowan Equations
Learning Filter Functions in Regularisers by Minimising Quotients
Graph Cut Optimization for the Piecewise Constant Level Set Method Applied to Multiphase Image Segmentation
Beyond Multi-view Stereo: Shading-Reflectance Decomposition
On Trainable Multiplicative Noise Removal Models
Regularized Material Decomposition for K-edge Separation in Hyperspectral Computed Tomography
Scale Space and Variational Methods in Computer Vision, First International Conference, SSVM 2007, Ischia, Italy, May 30 - June 2, 2007, Proceedings
Scale-Space and Morphology in Computer Vision, Third International Conference, Scale-Space 2001, Vancouver, Canada, July 7-8, 2001, Proceedings
New Approximation of a Scale Space Kernel on SE(3) and Applications in Neuroimaging
Combining Curvature Motion and Edge-Preserving Denoising
A Stochastic Scale Space for Multiscale Image Representation
Variational Models for Signal Processing with Graph Neural Networks
Anisotropic Non-Local Means with Spatially Adaptive Patch Shapes
Bi-level Optimization and Implicit Differentiation as a Framework for Optimal Experimental Design in Tomography
Regularizing a Set of Unstructured 3D Points from a Sequence of Stereo Images
Applications of Locally Orderless Images
Coordinate-Free Diffusion over Compact Lie-Groups
Spatio-Temporal Scale Selection in Video Data
Reconstruction of Surfaces from Point Clouds Using a Lagrangian Surface Evolution Model
Should We Search for a Global Minimizer of Least Squares Regularized with an ℓ0 Penalty to Get the Exact Solution of an under Determined Linear System?
Identifying Memorization of Diffusion Models Through p-Laplace Analysis
Mumford-Shah Model Based Man-Made Objects Detection from Aerial Images
Fast Dejittering for Digital Video Frames
Information Geometry of Exponentiated Gradient: Convergence Beyond L-Smoothness
Multiscale Morphological Segmentations Based on Watershed, Flooding, and Eikonal PDE
A Linear Scale-Space Theory for Continuous Nonlocal Evolutions
α-Pixels for Hierarchical Analysis of Digital Objects
Linear Image Reconstruction by Sobolev Norms on the Bounded Domain
First-Order Geometric Multilevel Optimization for Discrete Tomography
Image Reconstruction from Multiscale Critical Points
GMM Based Simultaneous Reconstruction and Segmentation in X-Ray CT Application
Linear PDE Osmotic Flow for 3D Surfaces
Discrete Varifolds: A Unified Framework for Discrete Approximations of Surfaces and Mean Curvature
Bundle Scale Spaces and Local Gauge Symmetries for Graph Networks
Bézier Curves in the Space of Images
Multiplicative Noise Cleaning via a Variational Method Involving Curvelet Coefficients
Quantum State Assignment Flows
Transitions of a Multi-scale Image Hierarchy Tree