yusuke1997/dblp-id-title huggingface dataset:
Constrained H 1 -Regularization Schemes for Diffeomorphic Image Registration
Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling
Robust Geometry Estimation Using the Generalized Voronoi Covariance Measure
Tight Convex Relaxations for Vector-Valued Labeling
An Accelerated Level-Set Method for Inverse Scattering Problems
A Nonlocal Bayesian Image Denoising Algorithm
Shape and Motion Estimation from Near-Field Echo-Based Sensor Data
A Mumford-Shah-Like Method for Limited Data Tomography with an Application to Electron Tomography
Fast Algorithms for Source Identification Problems with Elliptic PDE Constraints
Parameterized Joint Reconstruction of the Initial Pressure and Sound Speed Distributions for Photoacoustic Computed Tomography
Nonnegative Sparse Blind Source Separation for NMR Spectroscopy by Data Clustering, Model Reduction, and 1 Minimization
The Steerable Graph Laplacian and its Application to Filtering Image Datasets
Truncated Nuclear Norm Minimization Based Group Sparse Representation for Image Restoration
Convergence Rate of Overlapping Domain Decomposition Methods for the Rudin-Osher-Fatemi Model Based on a Dual Formulation
Removing Cradle Artifacts in X-Ray Images of Paintings
Diffeomorphic Density Matching by Optimal Information Transport
A Linear Reaction-Diffusion System with Interior Degeneration for Color Image Compression
Imaging with the Elliptic Radon Transform in Three Dimensions from an Analytical and Numerical Perspective
A Variational Model Dedicated to Joint Segmentation, Registration, and Atlas Generation for Shape Analysis
Bregmanized Nonlocal Regularization for Deconvolution and Sparse Reconstruction
A New Geometric Metric in the Space of Curves, and Applications to Tracking Deforming Objects by Prediction and Filtering
Critical Contours: An Invariant Linking Image Flow with Salient Surface Organization
Analyzing Reconstruction Artifacts from Arbitrary Incomplete X-ray CT Data
Multi-Domain Regularization Based Computed Tomography for High-Speed Rotation Objects
Entropic Approximation of Wasserstein Gradient Flows
Sparsity Based Methods for Overparameterized Variational Problems
Imaging Strong Localized Scatterers with Sparsity Promoting Optimization
Inverse Problem in Quantitative Susceptibility Mapping
Extended Sampling Method for Inverse Elastic Scattering Problems Using One Incident Wave
A Variational Model with Barrier Functionals for Retinex
A New Efficient Algorithm for Volume-Preserving Parameterizations of Genus-One 3-Manifolds
Superresolution from a Single Noisy Image by the Median Filter Transform
Adaptive Forward-Backward Splitting for Multilayer Convolutional Dictionary Learning
Target Reconstruction with a Reference Point Scatterer using Phaseless Far Field Patterns
Compressive Imaging and Characterization of Sparse Light Deflection Maps
Compactification of the Rigid Motions Group in Image Processing
Multiplicative Noise Removal: Nonlocal Low-Rank Model and Its Proximal Alternating Reweighted Minimization Algorithm
A Curvilinear Search Method for p-Harmonic Flows on Spheres
Image Restoration with a New Class of Forward-Backward-Forward Diffusion Equations of Perona-Malik Type with Applications to Satellite Image Enhancement
Spectral Decompositions Using One-Homogeneous Functionals
Communications-Inspired Projection Design with Application to Compressive Sensing
Single Image Dehazing and Denoising: A Fast Variational Approach
Preconditioning of a Generalized Forward-Backward Splitting and Application to Optimization on Graphs
Filtrated Algebraic Subspace Clustering
A Low-Rank Tensor Completion Method via Strassen-Ottaviani Flattening
Stable Image Reconstruction Using Total Variation Minimization
A Fast Algorithm for Euler's Elastica Model Using Augmented Lagrangian Method
PCM-TV-TFV: A Novel Two-Stage Framework for Image Reconstruction from Fourier Data
Eigenvalues of Random Matrices with Isotropic Gaussian Noise and the Design of Diffusion Tensor Imaging Experiments
Clustered Sparsity and Separation of Cartoon and Texture
Learnable Descent Algorithm for Nonsmooth Nonconvex Image Reconstruction
A Parallel Douglas-Rachford Algorithm for Minimizing ROF-like Functionals on Images with Values in Symmetric Hadamard Manifolds
A Factorization Method for Multifrequency Inverse Source Problems with Sparse Far Field Measurements
Structural Variability from Noisy Tomographic Projections
Facial Recognition Using Tensor-Tensor Decompositions
An Algorithm for Second Order Mumford-Shah Models Based on a Taylor Jet Formulation
Texture Inpainting Using Efficient Gaussian Conditional Simulation
Singular Value Decomposition of the Wave Forward Operator with Radial Variable Coefficients
Imaging of Buried Objects from Experimental Backscattering Time-Dependent Measurements Using a Globally Convergent Inverse Algorithm
$L_1$-Norm Regularization for Short-and-Sparse Blind Deconvolution: Point Source Separability and Region Selection
Solving Jigsaw Puzzles by the Graph Connection Laplacian
Smoothing Directional Vector Fields Using Dual Norms
Near Field Photometric Stereo with Point Light Sources
Synthetic Aperture Imaging and Motion Estimation Using Tensor Methods
Multigrid Optimization for Large-Scale Ptychographic Phase Retrieval
Continuum Limits of Nonlocal p-Laplacian Variational Problems on Graphs
A Novel Mesh Denoising Method Based on Relaxed Second-Order Total Generalized Variation
On Assignment Problems Related to Gromov-Wasserstein Distances on the Real Line
Stochastic Image Models from SIFT-Like Descriptors
An Active Contour Model with Local Variance Force Term and Its Efficient Minimization Solver for Multiphase Image Segmentation
The Process of Data Formation for the Spectrometer/Telescope for Imaging X-rays (STIX) in Solar Orbiter
Low Dimensional Manifold Model for Image Processing
A Two-Stage Image Segmentation Method for Blurry Images with Poisson or Multiplicative Gamma Noise
Joint Reconstruction-Segmentation on Graphs
Limiting Aspects of Nonconvex TV φ Models
Convolutional Forward Models for X-Ray Computed Tomography
A Hybrid Segmentation and D-Bar Method for Electrical Impedance Tomography
ADMM in Krylov Subspace and Its Application to Total Variation Restoration of Spatially Variant Blur
A Bias-Variance Approach for the Nonlocal Means
Toward Single Particle Reconstruction without Particle Picking: Breaking the Detection Limit
Turning Grain Maps into Diagrams
Off-the-Grid Curve Reconstruction through Divergence Regularization: An Extreme Point Result
A Discriminative Projection and Representation-Based Classification Framework for Face Recognition
An Inverse Problems Approach to Pulse Wave Analysis in the Human Brain
Convergence Analysis of Primal-Dual Algorithms for a Saddle-Point Problem: From Contraction Perspective
Alternating Minimization Algorithm with Automatic Relevance Determination for Transmission Tomography under Poisson Noise
A Fast Averaged Kaczmarz Iteration with Convex Penalty for Inverse Problems in Hilbert Spaces
A Nonlinear Elastic Shape Averaging Approach
Nested Bregman Iterations for Decomposition Problems
Segmentation under Occlusions Using Selective Shape Prior
Adaptive Variational Model for Contrast Enhancement of Low-Light Images
Variational Rician Noise Removal via Splitting on Spheres
A Majorize-Minimize Subspace Approach for ℓ 2 -ℓ 0 Image Regularization
A Nonlinear Inverse Scale Space Method for a Convex Multiplicative Noise Model
Learnable Nonlocal Self-Similarity of Deep Features for Image Denoising
Bijective Density-Equalizing Quasiconformal Map for Multiply Connected Open Surfaces
Localization, Stability, and Resolution of Topological Derivative Based Imaging Functionals in Elasticity
On the Absence of Uniform Recovery in Many Real-World Applications of Compressed Sensing and the Restricted Isometry Property and Nullspace Property in Levels
Global Compartmental Pharmacokinetic Models for Spatiotemporal SPECT and PET Imaging
Orthogonal Constrained Minimization with Tensor \(\ell_{2,{p}}\) Regularization for HSI Denoising and Destriping
Orientation Determination of Cryo-EM Images Using Least Unsquared Deviations
On Convex Finite-Dimensional Variational Methods in Imaging Sciences and Hamilton-Jacobi Equations
Convexification Method for an Inverse Scattering Problem and Its Performance for Experimental Backscatter Data for Buried Targets
A New Spherical Mixture Model for Head Detection in Depth Images
Semi-Unbalanced Optimal Transport for Reference-Based Image Restoration and Synthesis
NeurTV: Total Variation on the Neural Domain
Shape Identification and Classification in Echolocation
Complex-Valued Imaging with Total Variation Regularization: An Application to Full-Waveform Inversion in Visco-acoustic Media
A Direct Sampling Method for the Inversion of the Radon Transform
Dual Constrained TV-based Regularization on Graphs
Measure-Valued Images, Associated Fractal Transforms, and the Affine Self-Similarity of Images
Implicit Image Differentiation and Filtering with Applications to Image Sharpening
\(\boldsymbol{L_1-\beta L_q}\) Minimization for Signal and Image Recovery
Analysis of the Block Coordinate Descent Method for Linear Ill-Posed Problems
Preconditioned Plug-and-Play ADMM with Locally Adjustable Denoiser for Image Restoration
Quantitative Magnetic Resonance Imaging: From Fingerprinting to Integrated Physics-Based Models
Nested Iterative Algorithms for Convex Constrained Image Recovery Problems
2D Empirical Transforms. Wavelets, Ridgelets, and Curvelets Revisited
Resolution Analysis of Passive Synthetic Aperture Imaging of Fast Moving Objects
A Variational Inequality Model for the Construction of Signals from Inconsistent Nonlinear Equations
Reducing Streaking Artifacts in Quantitative Susceptibility Mapping
One Shot Inverse Scattering via Rational Approximation
Synthetic Aperture Radar Correlation Imaging
A Convex Max-Flow Approach to Distribution-Based Figure-Ground Separation
Edge, Ridge, and Blob Detection with Symmetric Molecules
Indicator Functions for Shape Reconstruction Related to the Linear Sampling Method
A Weighted Difference of Anisotropic and Isotropic Total Variation for Relaxed Mumford-Shah Color and Multiphase Image Segmentation
Shape Reconstruction in Inverse Scattering by an Inhomogeneous Cavity with Internal Measurements
A Hybrid Adaptive Phase Space Method for Reflection Traveltime Tomography
Left-Invariant Riemannian Geodesics on Spatial Transformation Groups
\(\boldsymbol {n}\)-Dimensional Volumetric Stretch Energy Minimization for Volume-/Mass-Preserving Parameterizations with Applications
An Efficient Algorithm for Video Superresolution Based on a Sequential Model
Image Restoration Using One-Dimensional Sobolev Norm Profiles of Noise and Texture
A Fast Relaxed Normal Two Split Method and an Effective Weighted TV Approach for Euler's Elastica Image Inpainting
Successive Nonnegative Projection Algorithm for Robust Nonnegative Blind Source Separation
Estimation Method of the Homodyned K-Distribution Based on the Mean Intensity and Two Log-Moments
SISAL Revisited
Uniqueness and Approximation of a Photometric Shape-from-Shading Model
Robust Locally Linear Analysis with Applications to Image Denoising and Blind Inpainting
Scale Invariant Geometry for Nonrigid Shapes
A Weighted Difference of Anisotropic and Isotropic Total Variation Model for Image Processing
Convergence of the Time Discrete Metamorphosis Model on Hadamard Manifolds
Expectation-Maximization Algorithm with Local Adaptivity
Simplifying Transforms for General Elastic Metrics on the Space of Plane Curves
Learnable Empirical Mode Decomposition based on Mathematical Morphology
Bayesian 3D Reconstruction of Complex Scenes from Single-Photon Lidar Data
First- and Second-Order Methods for Online Convolutional Dictionary Learning
Generalized Correlation-Based Imaging for Satellites
Sparse and Redundant Modeling of Image Content Using an Image-Signature-Dictionary
Rapid Solution of the Cryo-EM Reconstruction Problem by Frequency Marching
A Kalman Filtering Perspective for Multiatlas Segmentation
Efficient Nonlocal Linear Image Denoising: Bilevel Optimization with Nonequispaced Fast Fourier Transform and Matrix-Free Preconditioning
Lamé Parameter Estimation from Static Displacement Field Measurements in the Framework of Nonlinear Inverse Problems
Optimal Transport on the Lie Group of Roto-translations
A Theory of Optimal Flutter Shutter for Probabilistic Velocity Models
Nonlocal Means and Optimal Weights for Noise Removal
Nonnegative Tensor Patch Dictionary Approaches for Image Compression and Deblurring Applications
Image Inpainting Based on Coherence Transport with Adapted Distance Functions
A Three-Stage Variational Image Segmentation Framework Incorporating Intensity Inhomogeneity Information
Sobolev Gradients and Image Interpolation
Waveform Inversion with a Data Driven Estimate of the Internal Wave
Self-Similar Prior and Wavelet Bases for Hidden Incompressible Turbulent Motion
Generalized Intersection Algorithms with Fixed Points for Image Decomposition Learning
Exact Inversion of the Cone Transform Arising in an Application of a Compton Camera Consisting of Line Detectors
Harmonic Beltrami Signature: A Novel 2D Shape Representation for Object Classification
Limits of Accuracy for Parameter Estimation and Localization in Single-Molecule Microscopy via Sequential Monte Carlo Methods
A Statistical Approach to the Matching of Local Features
N-Dimensional Tensor Completion for Nuclear Magnetic Resonance Relaxometry
A Unifying Framework for $n$-Dimensional Quasi-Conformal Mappings
Synthetic Aperture Radar Imaging and Motion Estimation via Robust Principal Component Analysis
Image Reconstruction in Quantitative Susceptibility Mapping
Reduced Order Modeling for First Order Hyperbolic Systems with Application to Multiparameter Acoustic Waveform Inversion
A Contrario Detection of Faces: A Case Example
Transient Wave Imaging with Limited-View Data
Edge Guided Reconstruction for Compressive Imaging
Perspective Shape from Shading: Ambiguity Analysis and Numerical Approximations
Group Sparse Optimization for Images Recovery Using Capped Folded Concave Functions
A Wasserstein-Type Distance in the Space of Gaussian Mixture Models
Viewing Direction Estimation in Cryo-EM Using Synchronization
Efficient Bayesian Computation for Low-Photon Imaging Problems
Detectable Singularities from Dynamic Radon Data
Subaperture-Based Digital Aberration Correction for Optical Coherence Tomography: A Novel Mathematical Approach
A Continuous Exact ℓ 0 Penalty (CEL0) for Least Squares Regularized Problem
A Novel Adaptive Low-Rank Matrix Approximation Method for Image Compression and Reconstruction
Contour Stencils: Total Variation along Curves for Adaptive Image Interpolation
Approximating the Weil-Petersson Metric Geodesics on the Universal Teichmüller Space by Singular Solutions
Mumford-Shah-Euler Flow with Sphere Constraint and Applications to Color Image Inpainting
Indirect Image Registration with Large Diffeomorphic Deformations
Total Variation Regularization for Image Denoising, II. Examples
Diffusion Bridges for Stochastic Hamiltonian Systems and Shape Evolutions
Inertial Proximal ADMM for Linearly Constrained Separable Convex Optimization
Convex Variational Image Restoration with Histogram Priors
Two-Level Convex Relaxed Variational Model for Multiplicative Denoising
Bilevel Imaging Learning Problems as Mathematical Programs with Complementarity Constraints: Reformulation and Theory
Robust Surface Reconstruction
Inclusion and Estimates for the Jumps of Minimizers in Variational Denoising
An MBO Scheme on Graphs for Classification and Image Processing
High-Dimensional Mixture Models for Unsupervised Image Denoising (HDMI)
Passive Synthetic Aperture Imaging
An Image Registration Model in Electron Backscatter Diffraction
Convergence Analysis of the Nonlinear Kaczmarz Method for Systems of Nonlinear Equations with Componentwise Convex Mappings and Applications to Image Reconstruction in Multispectral CT
A Large-Scale Optimization Method Using a Sparse Approximation of the Hessian for Magnetic Resonance Fingerprinting
On Stable Reconstructions from Nonuniform Fourier Measurements
Analysis of a Wavelet Frame Based Two-Scale Model for Enhanced Edges
Three-Dimensional Volume Reconstruction Using Two-Dimensional Parallel Slices
Boosting of Image Denoising Algorithms
Truncated l 1-2 Models for Sparse Recovery and Rank Minimization
Space-Time Regularization for Video Decompression
Symmetrizing Smoothing Filters
Variational Assimilation of Fluid Motion from Image Sequence
Collaborative Total Variation: A General Framework for Vectorial TV Models
Factorization Method for Electromagnetic Inverse Scattering from Biperiodic Structures
Noninvasive Imaging of Three-Dimensional Micro and Nanostructures by Topological Methods
A Coherent Framework for Learning Spatiotemporal Piecewise-Geodesic Trajectories from Longitudinal Manifold-Valued Data
Sinkhorn Algorithm for Lifted Assignment Problems
Reconstruction of Surface and Stochastic Dynamics from a Planar Projection of Trajectories
Diffeomorphic Active Contours
Self-Calibration and Bilinear Inverse Problems via Linear Least Squares
A Regularized Visibility-Based Approach to Astronomical Imaging Spectroscopy
Viewing Angle Classification of Cryo-Electron Microscopy Images Using Eigenvectors
Classification via Minimum Incremental Coding Length
Steerable Principal Components for Space-Frequency Localized Images
(Quasi)Periodicity Quantification in Video Data, Using Topology
Extended-Sampling-Bayesian Method for Limited Aperture Inverse Scattering Problems
Efficient Blind Compressed Sensing Using Sparsifying Transforms with Convergence Guarantees and Application to Magnetic Resonance Imaging
Robust Tensor Completion from Uniformly Dithered One-Bit Observations
Randomized Orthogonal Matching Pursuit Algorithm with Adaptive Partial Selection for Sparse Signal Recovery
Local Tomography and the Motion Estimation Problem
Positive Semidefinite Generalized Diffusion Tensor Imaging via Quadratic Semidefinite Programming
Higher Order Positive Semidefinite Diffusion Tensor Imaging
A Regularized Affine-Scaling Trust-Region Method for Parametric Imaging of Dynamic PET Data
A Sub-Riemannian Modular Framework for Diffeomorphism-Based Analysis of Shape Ensembles
Dense Scale Selection Over Space, Time, and Space-Time
Identification of Sparsely Representable Diffusion Parameters in Elliptic Problems
Computing Quasi-Conformal Folds
A Novel Dynamic System in the Space of SPD Matrices with Applications to Appearance Tracking
New Restricted Isometry Property Analysis for ℓ 1-ℓ 2 Minimization Methods
The Cortical V1 Transform as a Heterogeneous Poisson Problem
Nonlocal Perimeters and Curvature Flows on Graphs with Applications in Image Processing and High-Dimensional Data Classification
Geometric Shape Matching for Recovering Protein Conformations from Single-Particle Cryo-EM Data
Correlation Based Imaging for Rotating Satellites
Statistical Hypothesis Testing for Postreconstructed and Postregistered Medical Images
Diffusion Interpretation of Nonlocal Neighborhood Filters for Signal Denoising
Joint Segmentation/Registration Model by Shape Alignment via Weighted Total Variation Minimization and Nonlinear Elasticity
Anisotropic Cheeger Sets and Applications
Microlocal Analysis of a Compton Tomography Problem
A Patch-Based Approach for Removing Impulse or Mixed Gaussian-Impulse Noise
Transionospheric Autofocus for Synthetic Aperture Radar
Alternating Direction Method of Multipliers for a Class of Nonconvex and Nonsmooth Problems with Applications to Background/Foreground Extraction
Sparse Representation Prior and Total Variation-Based Image Deblurring under Impulse Noise
Short Communication: Localized Adversarial Artifacts for Compressed Sensing MRI
Efficient Point-to-Subspace Query in ℓ 1 with Application to Robust Object Instance Recognition
A Fast Method for Segmenting Images with Additive Intensity Value
Phase-Space Sketching for Crystal Image Analysis Based on Synchrosqueezed Transforms
Is Repeatability an Unbiased Criterion for Ranking Feature Detectors?
A Flexible Space-Variant Anisotropic Regularization for Image Restoration with Automated Parameter Selection
Learning the Morphological Diversity
Simultaneous Reconstruction of Outer Boundary Shape and Admittivity Distribution in Electrical Impedance Tomography
Proximal Heterogeneous Block Implicit-Explicit Method and Application to Blind Ptychographic Diffraction Imaging
CT Image Reconstruction by Spatial-Radon Domain Data-Driven Tight Frame Regularization
A New Optimization Approach to Sparse Reconstruction of Log-Conductivity in Acousto-Electric Tomography
A Variational Model for Spatially Weighting in Image Fusion
SURE Guided Gaussian Mixture Image Denoising
Active Mean Fields for Probabilistic Image Segmentation: Connections with Chan-Vese and Rudin-Osher-Fatemi Models
Fast Partitioning of Vector-Valued Images
Theoretical Analysis of Flows Estimating Eigenfunctions of One-Homogeneous Functionals
Topological Sensitivity for Solving Inverse Multiple Scattering Problems in Three-Dimensional Electromagnetism. Part II: Iterative Method
Subpixel Point Spread Function Estimation from Two Photographs at Different Distances
Self-Assignment Flows for Unsupervised Data Labeling on Graphs
Inertial Proximal Alternating Linearized Minimization (iPALM) for Nonconvex and Nonsmooth Problems
A Relaxed Problem of Registration Based on the Saint Venant-Kirchhoff Material Stored Energy for the Mapping of Mouse Brain Gene Expression Data to a Neuroanatomical Mouse Atlas
A Comparative Study of Different Variants of Newton-Krylov PDE-Constrained Stokes-LDDMM Parameterized in the Space of Band-Limited Vector Fields
Stability for Finite Element Discretization of Some Inverse Parameter Problems from Internal Data: Application to Elastography
Recovering Missing Data in Coherent Diffraction Imaging
Regularization with Optimal Space-Time Priors
An Inexact Semismooth Newton Method on Riemannian Manifolds with Application to Duality-Based Total Variation Denoising
Denoising an Image by Denoising Its Curvature Image
Statistical Shape Analysis of Neuroanatomical Structures via Level-Set-based Shape Morphing
Convergence of Three-Block ADMM for Weakly Convex Optimization Problems
Bistatic Synthetic Aperture Radar Imaging of Moving Targets Using Ultra-Narrowband Continuous Waveforms
On Time Reversal in Photoacoustic Tomography for Tissue Similar to Water
Plug-and-Play Unplugged: Optimization-Free Reconstruction Using Consensus Equilibrium
Tomographic Reconstruction of the Curl and Divergence of 2D Vector Fields Taking Refractions into Account
A Contrario Selection of Optimal Partitions for Image Segmentation
Point Spread Function Field Learning Based on Optimal Transport Distances
Almost-Surely Convergent Randomly Activated Monotone Operator Splitting Methods
Higher-Order Momentum Distributions and Locally Affine LDDMM Registration
The Linear Sampling Method for Data Generated by Small Random Scatterers
Synthesizing and Mixing Stationary Gaussian Texture Models
Motion Textures: Modeling, Classification, and Segmentation Using Mixed-State Markov Random Fields
Computation of Quasi-Conformal Surface Maps Using Discrete Beltrami Flow
How to Transform and Filter Images Using Iterated Function Systems
FLASH: Fast Landmark Aligned Spherical Harmonic Parameterization for Genus-0 Closed Brain Surfaces
A Nonlocal Denoising Algorithm for Manifold-Valued Images Using Second Order Statistics
Bilevel Training Schemes in Imaging for Total Variation-Type Functionals with Convex Integrands
Solving 2D Fredholm Integral from Incomplete Measurements Using Compressive Sensing
On the Convergence of Primal-Dual Hybrid Gradient Algorithm
Spherical Image Inpainting with Frame Transformation and Data-Driven Prior Deep Networks
Reciprocity Theorems for One-Way Wave Fields in Curvilinear Coordinate Systems
Augmented Lagrangian Method, Dual Methods, and Split Bregman Iteration for ROF, Vectorial TV, and High Order Models
An Algorithm for Optimal Transport between a Simplex Soup and a Point Cloud
A Generalized Primal-Dual Algorithm with Improved Convergence Condition for Saddle Point Problems