yusuke1997/dblp-id-title huggingface dataset:
Convex Source Support and Its Application to Electric Impedance Tomography
IFF: A Superresolution Algorithm for Multiple Measurements
Whole Brain Susceptibility Mapping Using Harmonic Incompatibility Removal
An Efficient Primal-Dual Method for L 1 TV Image Restoration
Hyperspectral Super-resolution Accounting for Spectral Variability: Coupled Tensor LL1-Based Recovery and Blind Unmixing of the Unknown Super-resolution Image
Bayesian Imaging Using Plug & Play Priors: When Langevin Meets Tweedie
Graph Similarity through Entropic Manifold Alignment
An Upwind Finite-Difference Method for Total Variation-Based Image Smoothing
Fast Algorithms and Efficient GPU Implementations for the Radon Transform and the Back-Projection Operator Represented as Convolution Operators
Covering the Space of Tilts. Application to Affine Invariant Image Comparison
Conservative Scale Recomposition for Multiscale Denoising (The Devil is in the High Frequency Detail)
Dictionary Learning for Noisy and Incomplete Hyperspectral Images
A Blind Source Separation Technique for Document Restoration
Area Distances of Convex Plane Curves and Improper Affine Spheres
A New Augmented Lagrangian Approach for L 1 -mean Curvature Image Denoising
A Smoothed Dual Approach for Variational Wasserstein Problems
Variational Densification and Refinement of Registration Maps
Training Adaptive Reconstruction Networks for Blind Inverse Problems
A Variational Approach for Image Stitching I
A Total Variation Spectral Framework for Scale and Texture Analysis
Joint Structure-Texture Low-Dimensional Modeling for Image Decomposition with a Plug-and-Play Framework
Description of the Minimizers of Least Squares Regularized with 퓁 0 -norm. Uniqueness of the Global Minimizer
Reduced Order Model Approach to Inverse Scattering
Patch Redundancy in Images: A Statistical Testing Framework and Some Applications
Sparse Shape Reconstruction
Subspace Correction Methods for a Class of Nonsmooth and Nonadditive Convex Variational Problems with Mixed L 1/L 2 Data-Fidelity in Image Processing
RDA-INR: Riemannian Diffeomorphic Autoencoding via Implicit Neural Representations
Optimization Methods for In-Line Holography
Layover Analysis in Synthetic Aperture Imagery
Constrained Total Variation Deblurring Models and Fast Algorithms Based on Alternating Direction Method of Multipliers
A Method for Finding Structured Sparse Solutions to Nonnegative Least Squares Problems with Applications
Nonparametric Regression between General Riemannian Manifolds
Efficient Relaxations for Dense CRFs with Sparse Higher-Order Potentials
A Nonlocal Graph-PDE and Higher-Order Geometric Integration for Image Labeling
A Unified Approach to the Well-Posedness of Some Non-Lambertian Models in Shape-from-Shading Theory
Approximating Symmetric Positive Semidefinite Tensors of Even Order
Variational Phase Retrieval with Globally Convergent Preconditioned Proximal Algorithm
Inverse Acoustic Scattering with Phaseless Far Field Data: Uniqueness, Phase Retrieval, and Direct Sampling Methods
A Variational Image Segmentation Model Based on Normalized Cut with Adaptive Similarity and Spatial Regularization
Mathematical Framework for Abdominal Electrical Impedance Tomography to Assess Fatness
A Block Nonlocal TV Method for Image Restoration
Learning Consistent Discretizations of the Total Variation
Global Interactions in Random Field Models: A Potential Function Ensuring Connectedness
Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent
Teichmuller Mapping (T-Map) and Its Applications to Landmark Matching Registration
Fast Solvers for Cahn-Hilliard Inpainting
Interior Tomography Using 1D Generalized Total Variation. Part I: Mathematical Foundation
A Numerical Framework for Efficient Motion Estimation on Evolving Sphere-Like Surfaces Based on Brightness and Mass Conservation Laws
Assembling a Learnable Mumford-Shah Type Model with Multigrid Technique for Image Segmentation
Asymptotic Links between Signal Processing, Acoustic Metamaterials, and Biology
Iterative Reconstruction Methods for Cosmological X-Ray Tomography
Convergence Results in Image Interpolation With the Continuous SSIM
A Multiple Measurement Vector Approach to Synthetic Aperture Radar Imaging
An Efficient Neumann Series-Based Algorithm for Thermoacoustic and Photoacoustic Tomography with Variable Sound Speed
Single Pixel X-ray Transform and Related Inverse Problems
Illumination Strategies for Intensity-Only Imaging
Fiber Orientation Distribution Estimation Using a Peaceman-Rachford Splitting Method
Banach-Like Distances and Metric Spaces of Compact Sets
Extraction of Digital Wavefront Sets Using Applied Harmonic Analysis and Deep Neural Networks
CURE: Curvature Regularization for Missing Data Recovery
Diffeomorphic Registration Using Sinkhorn Divergences
Image Segmentation Using Bayesian Inference for Convex Variant Mumford-Shah Variational Model
Theory of Waveform-Diverse Moving-Target Spotlight Synthetic-Aperture Radar
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
Synthetic Aperture Imaging of Multiple Point Targets in Rician Fading Media
A Direct Imaging Method for Inverse Scattering by Unbounded Rough Surfaces
Blind Source Separation with Outliers in Transformed Domains
On the Continuous Steering of the Scale of Tight Wavelet Frames
iPiano: Inertial Proximal Algorithm for Nonconvex Optimization
Sparse Inpainting with Smoothed Particle Hydrodynamics
Adaptive and Implicit Regularization for Matrix Completion
Efficient Bayesian Computation by Proximal Markov Chain Monte Carlo: When Langevin Meets Moreau
Inversion of Band-Limited Discrete Fourier Transforms of Binary Images: Uniqueness and Algorithms
Geometric Expansion for Local Feature Analysis and Matching
Imaging Polarizable Dipoles
Reinterpretation and Enhancement of Signal-Subspace-Based Imaging Methods for Extended Scatterers
Three-Stage Approach for 2D/3D Diffeomorphic Multimodality Image Registration with Textural Control
Reconstructing Fine Details of Small Objects by Using Plasmonic Spectroscopic Data
Effective Solutions to Robust Orthogonal Nonnegative Matrix Factorization via Oblique Manifold Transformation
Volume Reconstruction from Slices
Image Reconstruction in Quantitative Photoacoustic Tomography with the Simplified P 2 Approximation
Sectional Curvature in Terms of the Cometric, with Applications to the Riemannian Manifolds of Landmarks
Scale Invariant Metrics of Volumetric Datasets
Magnetic Resonance Electrical Impedance Tomography (MREIT): Convergence and Reduced Basis Approach
Relaxed Gauss-Newton Methods with Applications to Electrical Impedance Tomography
A High-Order Scheme for Image Segmentation via a Modified Level-Set Method
A Splitting Scheme for Flip-Free Distortion Energies
A New Convex Optimization Model for Multiplicative Noise and Blur Removal
A New Approach for Robust Segmentation of the Noisy or Textured Images
Spectral Methods for Passive Imaging: Nonasymptotic Performance and Robustness
Regularization of Linear Inverse Problems with Irregular Noise Using Embedding Operators
A Random Walk on Image Patches
A Numerical Method to Solve a Phaseless Coefficient Inverse Problem from a Single Measurement of Experimental Data
A Coherence Enhancing Penalty for Diffusion MRI: Regularizing Property and Discrete Approximation
Cartoon-Texture Image Decomposition using Orientation Characteristics in Patch Recurrence
Enhanced Digital Halftoning via Weighted Sigma-Delta Modulation
Uniqueness and Direct Imaging Method for Inverse Scattering by Locally Rough Surfaces with Phaseless Near-Field Data
Synthetic Aperture Inversion for Statistically Nonstationary Target and Clutter Scenes
Primal-Dual Decomposition by Operator Splitting and Applications to Image Deblurring
Tensor Robust Principal Component Analysis Based on a Two-Layer Tucker Rank Minimization Model
Background Removal for Ptychography via Wigner Distribution Deconvolution
Automatically Controlled Morphing of 2D Shapes with Textures
A PDE Approach to Data-Driven Sub-Riemannian Geodesics in SE(2)
Quantitative Object Reconstruction Using Abel Transform X-Ray Tomography and Mixed Variable Optimization
Tensor Robust Principal Component Analysis via Tensor Fibered Rank and \({\boldsymbol{{l_p}}}\) Minimization
An Accelerated Linearized Alternating Direction Method of Multipliers
On the Asymptotic Equivalence Between the Radon and the Hough Transforms of Digital Images
A Corrected Tensor Nuclear Norm Minimization Method for Noisy Low-Rank Tensor Completion
A Nonlinear Method for Imaging with Acoustic Waves Via Reduced Order Model Backprojection
Iterative Direct Sampling Method for Elliptic Inverse Problems with Limited Cauchy Data
A Common Lines Approach for Ab Initio Modeling of Molecules with Tetrahedral and Octahedral Symmetry
Maximum Likelihood Estimation of Regularization Parameters in High-Dimensional Inverse Problems: An Empirical Bayesian Approach Part I: Methodology and Experiments
Provable Phase Retrieval with Mirror Descent
Synchrosqueezed Wave Packet Transform for 2D Mode Decomposition
Intrinsic Isometric Manifold Learning with Application to Localization
Revisiting Maximum-A-Posteriori Estimation in Log-Concave Models
Fast Algorithms for Image Reconstruction with Application to Partially Parallel MR Imaging
Cut Pursuit: Fast Algorithms to Learn Piecewise Constant Functions on General Weighted Graphs
Bochner Subordination, Logarithmic Diffusion Equations, and Blind Deconvolution of Hubble Space Telescope Imagery and Other Scientific Data
Inexact Half-Quadratic Optimization for Linear Inverse Problems
A Direct Differential Approach to Photometric Stereo with Perspective Viewing
Regularization Properties of Mumford-Shah-Type Functionals with Perimeter and Norm Constraints for Linear Ill-Posed Problems
Most Likely Separation of Intensity and Warping Effects in Image Registration
Imaging with Power Controlled Source Pairs
Quasi-Newton Methods for Monotone Inclusions: Efficient Resolvent Calculus and Primal-Dual Algorithms
Aspherical Lens Design and Imaging
Analysis of the Magnetoacoustic Tomography with Magnetic Induction
A Dissipative Time Reversal Technique for Photoacoustic Tomography in a Cavity
A New Total Variation Method for Multiplicative Noise Removal
Bar Code Decoding in a Camera-Based Scanner: Analysis and Algorithm
Averaging Orientations with Molecular Symmetry in Cryo-EM
The Primal-Dual Hybrid Gradient Method for Semiconvex Splittings
Long-Time Asymptotics of the Sliced-Wasserstein Flow
Covariance Matrix Estimation for the Cryo-EM Heterogeneity Problem
Series Expansions of the Reconstruction Kernel of the Radon Transform over a Cormack-Type Family of Curves with Applications in Tomography
Cross Correlation and Deconvolution of Noise Signals in Randomly Layered Media
An Inexact Newton-Krylov Algorithm for Constrained Diffeomorphic Image Registration
A Learnable Group-Tube Transform Induced Tensor Nuclear Norm and Its Application for Tensor Completion
Inverse Elastic Scattering for Multiscale Rigid Bodies with a Single Far-Field Pattern
Compressive Sensing by Random Convolution
Invertible ResNets for Inverse Imaging Problems: Competitive Performance with Provable Regularization Properties
Patch-Based Image Restoration Using Expectation Propagation
Sparse Wavelet Representations of Spatially Varying Blurring Operators
Conformal Mapping with as Uniform as Possible Conformal Factor
Tight-Frame-Like Analysis-Sparse Recovery Using Nontight Sensing Matrices
On the Optimality of Shape and Data Representation in the Spectral Domain
A Penalty Relaxation Method for Image Processing Using Euler's Elastica Model
A Texture Synthesis Model Based on Semi-Discrete Optimal Transport in Patch Space
Compressive Imaging of Subwavelength Structures
Curvature Regularized Surface Reconstruction from Point Clouds
A Deep Neural Network Framework for Multivalued Mapping Problems with Varying Cardinality and Its Applications to Imaging
Numerical Algorithms for Polyenergetic Digital Breast Tomosynthesis Reconstruction
Multitaper Estimation on Arbitrary Domains
Accelerated Bayesian Imaging by Relaxed Proximal-Point Langevin Sampling
A Family of Shape Ellipticity Measures for Galaxy Classification
Continuous Primal-Dual Methods for Image Processing
Multi-scale Classification for Electrosensing
Consistent Connected Operators Based on Trees of Shapes
Signal-to-Noise Ratio Estimation in Passive Correlation-Based Imaging
Direct Imaging Methods for Reconstructing a Locally Rough Interface from Phaseless Total-Field Data or Phased Far-Field Data
A Hybrid Reconstruction Method for Quantitative PAT
Characterization and Analysis of Edges Using the Continuous Shearlet Transform
Optimality Conditions for Bilevel Imaging Learning Problems with Total Variation Regularization
Restoration of Images Corrupted by Impulse Noise and Mixed Gaussian Impulse Noise Using Blind Inpainting
Wavelet Frame Based Multiphase Image Segmentation
Total Variation as a Local Filter
Geometric PCA of Images
Nonconvex TV q -Models in Image Restoration: Analysis and a Trust-Region Regularization-Based Superlinearly Convergent Solver
Learning Maximally Monotone Operators for Image Recovery
Time-Domain Direct Sampling Method for Inverse Electromagnetic Scattering with a Single Incident Source
Issues with Common Assumptions about the Camera Pipeline and Their Impact in HDR Imaging from Multiple Exposures
Fast Imaging of Sources and Scatterers in a Stratified Ocean Waveguide
Illusory Shapes via Corner Fusion
Direct Imaging of Moving Acoustic Point Sources
Modes of Homogeneous Gradient Flows
Efficient Beltrami Image Filtering via Vector Extrapolation Methods
Imaging Extended Reflectors in a Terminating Waveguide
Deep Learning-Based Dictionary Learning and Tomographic Image Reconstruction
Augmented 퓁 1 and Nuclear-Norm Models with a Globally Linearly Convergent Algorithm
Reconstructing Fine Details of Small Objects by Using Plasmonic Spectroscopic Data. Part II: The Strong Interaction Regime
BinaryRelax: A Relaxation Approach for Training Deep Neural Networks with Quantized Weights
Recovering a Function from Circular Means or Wave Data on the Boundary of Parabolic Domains
A Class of Priors for Color Image Restoration Parameterized by Lie Groups Acting on Pixel Values
Intensity Nonuniformity Correction for Brain MR Images with Known Voxel Classes
A Wavelet Frame Method with Shape Prior for Ultrasound Video Segmentation
Interactive Video Colorization Within a Variational Framework
Connected-Component Preserving Image Segmentation Using the Iterative Convolution-Thresholding Method
A New Alternating Minimization Algorithm for Total Variation Image Reconstruction
Shape Reconstruction with A Priori Knowledge Based on Integral Invariants
Gaussian Patch Mixture Model Guided Low-Rank Covariance Matrix Minimization for Image Denoising
How Accurate Can Block Matches Be in Stereo Vision?
Total Variation on a Tree
A Two-Stage Image Segmentation Method Using a Convex Variant of the Mumford-Shah Model and Thresholding
Maximum Volume Inscribed Ellipsoid: A New Simplex-Structured Matrix Factorization Framework via Facet Enumeration and Convex Optimization
A Perfect Match Condition for Point-Set Matching Problems Using the Optimal Mass Transport Approach
Towards Statistically Provable Geometric 3D Human Pose Recovery
On the Convergence of Stochastic Gradient Descent for Linear Inverse Problems in Banach Spaces
Evolutionary Weighted Laplace Equations with Applications in Signal Decomposition
Coherence Retrieval Using Trace Regularization
A Geodesic Landmark Shooting Algorithm for Template Matching and Its Applications
A Variable Density Sampling Scheme for Compressive Fourier Transform Interferometry
Smoothing Priors for Blind Image Deblurring
Analysis and an Interior-Point Approach for TV Image Reconstruction Problems on Smooth Surfaces
Linear Multiscale Analysis of Similarities between Images on Riemannian Manifolds: Practical Formula and Affine Covariant Metrics
Acoustic Imaging via a Viscosity Approximation of an Elliptic System Generated by the Lavrent'ev Integral Operator
Numerical Recovery of Source Singularities via the Radiative Transfer Equation with Partial Data
Projection-Based Preprocessing for Electrical Impedance Tomography to Reduce the Effect of Electrode Contacts
On the Illumination Invariance of the Level Lines under Directed Light: Application to Change Detection
Multiplicative Noise Removal with Spatially Varying Regularization Parameters
Removing the Mask - Reconstructing a Real-Valued Field on the Sphere from a Masked Field by Spherical Fourier Analysis
Adapted Windows Detection of Moving Objects in Video Scenes
Image Denoising with Generalized Gaussian Mixture Model Patch Priors
Numerical Reconstruction of Radiative Sources from Partial Boundary Measurements
A Global Approach for Solving Edge-Matching Puzzles
Convergence Analysis of the Harmonic \(\boldsymbol{B_{{z}}}\) Algorithm with Single Injection Current in MREIT
Spherical Framelets from Spherical Designs
Morphing of Manifold-Valued Images Inspired by Discrete Geodesics in Image Spaces
Theoretical Analysis of Active Contours on Graphs
Multiscale Photon-Limited Spectral Image Reconstruction
Angular Accuracy of Steerable Feature Detectors
Coded Hyperspectral Imaging and Blind Compressive Sensing
Patch Ordering as a Regularization for Inverse Problems in Image Processing
An Algorithm to Compute Any Simple $k$-gon of a Maximum Area or Perimeter Inscribed in a Region of Interest
Locally Parallel Texture Modeling
Tensor Product Complex Tight Framelets with Increasing Directionality
Multigrid Algorithm for High Order Denoising
A New Variational Model for Joint Image Reconstruction and Motion Estimation in Spatiotemporal Imaging
Restoration Guarantee of Image Inpainting via Low Rank Patch Matrix Completion
Quantitative Photoacoustic Tomography with Piecewise Constant Material Parameters
Conditionally Gaussian Hypermodels for Cerebral Source Localization
A New Variational Model for Shape Graph Registration with Partial Matching Constraints
Uniform Recovery Guarantees for Quantized Corrupted Sensing Using Structured or Generative Priors
NESTA: A Fast and Accurate First-Order Method for Sparse Recovery
Image Vectorization with Depth: Convexified Shape Layers with Depth Ordering
Image Segmentation with Adaptive Spatial Priors from Joint Registration
Learning Theory of Randomized Sparse Kaczmarz Method
Combining Image Reconstruction and Image Analysis with an Application to Two-Dimensional Tomography
Multifrequency Interferometric Imaging with Intensity-Only Measurements
Bayesian Inference and Uncertainty Quantification for Medical Image Reconstruction with Poisson Data
Adaptive Time-Frequency Detection and Filtering for Imaging in Heavy Clutter
A Variational Approach to Additive Image Decomposition into Structure, Harmonic, and Oscillatory Components
Exact Camera Location Recovery by Least Unsquared Deviations
Separable Quaternion Matrix Factorization for Polarization Images
Luminance-Chrominance Model for Image Colorization
Optimization by Stochastic Continuation
A Total Variation Model for Retinex
Short Communication: FISTA Iterates Converge Linearly for Denoiser-Driven Regularization
Lattice Identification and Separation: Theory and Algorithm
Discrete Geodesic Calculus in Shape Space and Applications in the Space of Viscous Fluidic Objects
Nonlinear Power Method for Computing Eigenvectors of Proximal Operators and Neural Networks
Spherical Density-Equalizing Map for Genus-0 Closed Surfaces
An Adaptive Directional Haar Framelet-Based Reconstruction Algorithm for Parallel Magnetic Resonance Imaging
Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruptions
Variable Density Sampling with Continuous Trajectories
Image Zooming by Curvature Interpolation and Iterative Refinement
A Fractional Inpainting Model Based on the Vector-Valued Cahn-Hilliard Equation
A Nonlocal Variational Formulation for the Improvement of Tone Mapped Images
Wasserstein Dictionary Learning: Optimal Transport-Based Unsupervised Nonlinear Dictionary Learning
Generalized Fourier Diffraction Theorem and Filtered Backpropagation for Tomographic Reconstruction
Total Variation-Based Reconstruction and Phase Retrieval for Diffraction Tomography
A Boundary Integral Equation Method for the Complete Electrode Model in Electrical Impedance Tomography with Tests on Experimental Data
Stability and Reconstruction of a Special Type of Anisotropic Conductivity in Magneto-Acoustic Tomography with Magnetic Induction
Intrinsic Semiparametric Mixed Effects Model for Longitudinal Manifold-Valued Data
Modulus Methods for Nonnegatively Constrained Image Restoration
Spherical Area-Preserving Parameterization via Energy Minimization
Mathematical Design of a Novel Gesture-Based Instruction/Input Device Using Wave Detection
Elastica Models for Color Image Regularization
Decay Properties of Riesz Transforms and Steerable Wavelets
The Space of Essential Matrices as a Riemannian Quotient Manifold
Primal and Mixed Finite Element Methods for Deformable Image Registration Problems
Image Reconstruction with Imperfect Forward Models and Applications in Deblurring
A Nonlocal Variational Model for Pansharpening Image Fusion
Fast 3D Blind Seismic Deconvolution via Constrained Total Variation and GCV
Microlocal Analysis of Generalized Radon Transforms from Scattering Tomography
Improved Total Variation-Type Regularization Using Higher Order Edge Detectors
Measuring the Noise of Digital Imaging Sensors by Stacking Raw Images Affected by Vibrations and Illumination Flickering
Close-to-Optimal Counter Histogram-Based Forensics Using Mean Structural Similarity Index Metric
Geometrically Guided Exemplar-Based Inpainting
Trading Beams for Bandwidth: Imaging with Randomized Beamforming
Optical Flow on Moving Manifolds
Color Image Restoration by Saturation-Value Total Variation Regularization on Vector Bundles
Bioinspired Random Projections for Robust, Sparse Classification
Image-Driven Parameter Estimation in Absorption-Diffusion Models of Chromoscopy
A Variational Histogram Equalization Method for Image Contrast Enhancement
An Optimal Bayesian Estimator for Absorption Coefficient in Diffuse Optical Tomography
Multiplicative Noise Removal for Texture Images Based on Adaptive Anisotropic Fractional Diffusion Equations
Discrete Morphological Neural Networks
A Reweighted Joint Spatial-Radon Domain CT Image Reconstruction Model for Metal Artifact Reduction
Passive Sensor Imaging Using Cross Correlations of Noisy Signals in a Scattering Medium
Influence of Unknown Exterior Samples on Interpolated Values for Band-Limited Images
Geodesics on Shape Spaces with Bounded Variation and Sobolev Metrics
ASIFT: A New Framework for Fully Affine Invariant Image Comparison
Adjoint State Method for the Identification Problem in SPECT: Recovery of Both the Source and the Attenuation in the Attenuated X-Ray Transform
Optimization-Based Approach for Joint X-Ray Fluorescence and Transmission Tomographic Inversion
Backpropagation Imaging in Nonlinear Harmonic Holography in the Presence of Measurement and Medium Noises
A Penalization-Regularization-Operator Splitting Method for Eikonal Based Traveltime Tomography
Poisson Noise Reduction with Higher-Order Natural Image Prior Model
A Fast Algorithm for Edge-Preserving Variational Multichannel Image Restoration
The Split Bregman Method for L1-Regularized Problems
Estimation of the Noise Level Function Based on a Nonparametric Detection of Homogeneous Image Regions
Alternating Direction Method for Image Inpainting in Wavelet Domains
An Operator Theory for Analyzing the Resolution of Multi-illumination Imaging Modalities
Modeling Active Electrolocation in Weakly Electric Fish
A Proof of Convergence of the Horn-Schunck Optical Flow Algorithm in Arbitrary Dimension
A Block Coordinate Descent Method for Regularized Multiconvex Optimization with Applications to Nonnegative Tensor Factorization and Completion
A Contrast-Saturation Adaptive Model for Low-Light Image Enhancement
Convex Cardinal Shape Composition
A Generalized Forward-Backward Splitting
A Biclustering Framework for Consensus Problems
Matrix Balancing Based Interior Point Methods for Point Set Matching Problems
A Total Fractional-Order Variation Model for Image Restoration with Nonhomogeneous Boundary Conditions and Its Numerical Solution