yusuke1997/dblp-id-title huggingface dataset:
Compensated Convexity Methods for Approximations and Interpolations of Sampled Functions in Euclidean Spaces: Applications to Contour Lines, Sparse Data, and Inpainting
Bregman Iterative Algorithms for \ell 1 -Minimization with Applications to Compressed Sensing
NMF with Sparse Regularizations in Transformed Domains
Motion Smoothing Strategies for 2D Video Stabilization
Analysis of Regularized Kantorovich-Rubinstein Metric and Its Application to Inverse Gravity Problems
A Joint Sparse Recovery Framework for Accurate Reconstruction of Inclusions in Elastic Media
Stable Local-Smooth Principal Component Pursuit
Solving Quasi-Variational Inequalities for Image Restoration with Adaptive Constraint Sets
Two-Dimensional Tomography from Noisy Projections Taken at Unknown Random Directions
Integro-Differential Equations Based on (BV, L 1) Image Decomposition
Infimal Convolution of Data Discrepancies for Mixed Noise Removal
A Joint Segmentation/Registration Model Based on a Nonlocal Characterization of Weighted Total Variation and Nonlocal Shape Descriptors
A Butterfly Algorithm for Synthetic Aperture Radar Imaging
Efficient Deterministic Compressed Sensing for Images with Chirps and Reed-Muller Codes
LURE: An Unsupervised Denoising Framework for Multiplicative Lognormal Noise
Compressive Learning for Patch-Based Image Denoising
A Sufficient Condition of Optimality for the Relative Pose Problem between Cameras
Efficient Image Segmentation and Restoration Using Parametric Curve Evolution with Junctions and Topology Changes
Multiscale Analysis for Images on Riemannian Manifolds
Compton Scattering Tomography: Feature Reconstruction and Rotation-Free Modality
Stochastic Variance Reduced Gradient for Affine Rank Minimization Problem
Individuation of 3D Perceptual Units from Neurogeometry of Binocular Cells
Imaging of Local Rough Surfaces by the Linear Sampling Method with Near-Field Data
Bayesian Imaging with Data-Driven Priors Encoded by Neural Networks
Patch-Based Holographic Image Sensing
Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment
A New Detail-Preserving Regularization Scheme
Fast Multilevel Algorithms for Compressive Principal Component Pursuit
Application of the Topological Gradient Method to Color Image Restoration
A Formal Gamma-Convergence Approach for the Detection of Points in 2-D Images
A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization
An A Contrario Model for Matching Interest Points under Geometric and Photometric Constraints
Adaptive Unsupervised Anomaly Detection in Variable Environment by Online Expectation Maximization
Total Variation Regularization for Image Denoising, III. Examples
Analysis of the Wavelet Ginzburg-Landau Energy in Image Applications with Edges
Sensitivity Analysis of Multichannel Images Intended for Instantaneous Imaging Spectrometry Applications
Hypoelliptic Diffusion and Human Vision: A Semidiscrete New Twist
Nonconvex-TV Based Image Restoration with Impulse Noise Removal
Inversion Formulas for a Cylindrical Radon Transform
Posterior Expectation of the Total Variation Model: Properties and Experiments
The Linear Sampling Method for Random Sources
Blind Ptychographic Phase Retrieval via Convergent Alternating Direction Method of Multipliers
Robust Video Restoration by Joint Sparse and Low Rank Matrix Approximation
Imaging in Random Media by Two-Point Coherent Interferometry
High-Dimension Multilabel Problems: Convex or Nonconvex Relaxation?
Conductivity Imaging from Internal Measurements with Mixed Least-Squares Deep Neural Networks
Hough Transform of Special Classes of Curves
Inpainting by Flexible Haar-Wavelet Shrinkage
Time Discrete Geodesic Paths in the Space of Images
Proximal Activation of Smooth Functions in Splitting Algorithms for Convex Image Recovery
Image Extrapolation for the Time Discrete Metamorphosis Model: Existence and Applications
Multiscale Factorization of the Wave Equation with Application to Compressed Sensing Photoacoustic Tomography
KDE Paring and a Faster Mean Shift Algorithm
Sparsity-Inducing Nonconvex Nonseparable Regularization for Convex Image Processing
Fast Nonoverlapping Block Jacobi Method for the Dual Rudin-Osher-Fatemi Model
A Symbol-Based Algorithm for Decoding Bar Codes
Nonlinear Inverse Scale Space Methods for Total Variation Blind Deconvolution
Reweighted and Adaptive Morphology Separation
Image Denoising via Multiscale Nonlinear Diffusion Models
Surface-Localized Transmission Eigenstates, Super-resolution Imaging, and Pseudo Surface Plasmon Modes
Multiview Clustering of Images with Tensor Rank Minimization via Nonconvex Approach
On Collaborative Compressive Sensing Systems: The Framework, Design, and Algorithm
Box Spline Wavelet Frames for Image Edge Analysis
Multienergy Cone-Beam Computed Tomography Reconstruction with a Spatial Spectral Nonlocal Means Algorithm
A New Operator Splitting Method for the Euler Elastica Model for Image Smoothing
Dynamic Spike Superresolution and Applications to Ultrafast Ultrasound Imaging
Theoretical Characterization of Effect of Masks in Snapshot Compressive Imaging
Clifford Bundles: A Common Framework for Image, Vector Field, and Orthonormal Frame Field Regularization
Convexification Numerical Method for a Coefficient Inverse Problem for the Radiative Transport Equation
Scalable Bayesian Uncertainty Quantification in Imaging Inverse Problems via Convex Optimization
Dithering by Differences of Convex Functions
A Majorization-Minimization Algorithm for Neuroimage Registration
Imaging with Thermal Noise Induced Currents
Imaging in Random Media with Convex Optimization
SPARCOM: Sparsity Based Super-resolution Correlation Microscopy
A Unifying Parametric Framework for 2D Steerable Wavelet Transforms
Anisotropic Alpha-Kernels and Associated Flows
Almost Local Metrics on Shape Space of Hypersurfaces in n-Space
Total Generalized Variation in Diffusion Tensor Imaging
Exact Recovery of Multichannel Sparse Blind Deconvolution via Gradient Descent
Gauge Fields in Pictorial Space
A General Non-Lipschitz Infimal Convolution Regularized Model: Lower Bound Theory and Algorithm
Provably Robust Blind Source Separation of Linear-Quadratic Near-Separable Mixtures
A Multiscale Deformation Representation
Spectral Synchronization of Multiple Views in SE(3)
Robust Image Reconstruction from Multiview Measurements
The Mapping-Adaptive Convolution: A Fundamental Theory for Homography or Perspective Invariant Matching Methods
Field Fluctuations, Imaging with Backscattered Waves, a Generalized Energy Theorem, and the Optical Theorem
Fractional Fourier Transforms Meet Riesz Potentials and Image Processing
A Convex Variational Model for Restoring Blurred Images with Multiplicative Noise
Estimation of Translation, Rotation, and Scaling between Noisy Images Using the Fourier--Mellin Transform
A Learning-Based Method for Solving Ill-Posed Nonlinear Inverse Problems: A Simulation Study of Lung EIT
Multiview Point Cloud Registration with Anisotropic and Spatially Varying Localization Noise
Dual-Domain Filtering
Regularization by Denoising via Fixed-Point Projection (RED-PRO)
A Forward-Adjoint Operator Pair Based on the Elastic Wave Equation for Use in Transcranial Photoacoustic Computed Tomography
Dual Carrier Probing for Spaceborne SAR Imaging
Early Stopping of Untrained Convolutional Neural Networks
Improved Recovery Guarantees and Sampling Strategies for TV Minimization in Compressive Imaging
A Sampling Theorem for Deconvolution in Two Dimensions
Template Estimation in Computational Anatomy: Fréchet Means Top and Quotient Spaces Are Not Consistent
Parallelizable Global Conformal Parameterization of Simply-Connected Surfaces via Partial Welding
Simultaneous Cartoon and Texture Image Restoration with Higher-Order Regularization
A Direct Imaging Method for Electromagnetic Scattering Data without Phase Information
Coherent Imaging without Phases
Space Variant Blind Image Restoration
On the p-Laplacian and ∞-Laplacian on Graphs with Applications in Image and Data Processing
Approximate Inversion of a Class of Generalized Radon Transforms
A Total Variation-Based JPEG Decompression Model
Generalized Sinkhorn Iterations for Regularizing Inverse Problems Using Optimal Mass Transport
ShearLab: A Rational Design of a Digital Parabolic Scaling Algorithm
Optimized Conformal Surface Registration with Shape-based Landmark Matching
Sequential Convex Programming for Computing Information-Theoretic Minimal Partitions: Nonconvex Nonsmooth Optimization
Topology Preserving Linear Filtering Applied to Medical Imaging
Bijective Mappings of Meshes with Boundary and the Degree in Mesh Processing
Topological Identification of Vortical Flow Structures in the Left Ventricle of the Heart
Nonconvex Optimization for 3-Dimensional Point Source Localization Using a Rotating Point Spread Function
Iterative Filtering and Smoothing with Optical Flow Prediction Models
Higher-Order Total Directional Variation: Analysis
An Inexact Majorized Proximal Alternating Direction Method of Multipliers for Diffusion Tensors
Reconstruction of Smooth 3D Color Functions from Keypoints: Application to Lossy Compression and Exemplar-Based Generation of Color LUTs
A PDE-Based Method for Shape Registration
Role of Scattering in Virtual Source Array Imaging
Gradient-Based Methods for Sparse Recovery
Incompressible, Quasi-Isometric Deformations of 2-Dimensional Domains
Edge Illumination and Imaging of Extended Reflectors
On Infimal Convolution of TV-Type Functionals and Applications to Video and Image Reconstruction
On the Convergence of a Data-Driven Regularized Stochastic Gradient Descent for Nonlinear Ill-Posed Problems
MAGMA: Multilevel Accelerated Gradient Mirror Descent Algorithm for Large-Scale Convex Composite Minimization
Continuous Multiclass Labeling Approaches and Algorithms
Geometric Registration of High-Genus Surfaces
Fast Phase Retrieval from Local Correlation Measurements
Motion Estimation and Correction in Photoacoustic Tomographic Reconstruction
Analysis of View Aliasing for the Generalized Radon Transform in \({\mathbb R}^{\textbf{2}}\)
Non-Lipschitz Variational Models and their Iteratively Reweighted Least Squares Algorithms for Image Denoising on Surfaces
Directional Multiscale Amplitude and Phase Decomposition by the Monogenic Curvelet Transform
A Primal-Dual Splitting Algorithm with Convex Combination and Larger Step Sizes for Composite Monotone Inclusion Problems
The \(\boldsymbol{{p}_0}\)-Laplace "Signature" for Quasilinear Inverse Problems
Off-the-Grid Recovery of Piecewise Constant Images from Few Fourier Samples
Compressed Remote Sensing of Sparse Objects
Adaptive Mesh Refinement in Deformable Image Registration: A Posteriori Error Estimates for Primal and Mixed Formulations
Stable Image Reconstruction Using Transformed Total Variation Minimization
Reconstruction of Thin Tubular Inclusions in Three-Dimensional Domains Using Electrical Impedance Tomography
Resolution Analysis of Imaging with ℓ 1 Optimization
Asymptotic Analysis of Inpainting via Universal Shearlet Systems
Vessel Segmentation in Medical Imaging Using a Tight-Frame-Based Algorithm
Infimal Convolution of Oscillation Total Generalized Variation for the Recovery of Images with Structured Texture
Level Set Estimation from Projection Measurements: Performance Guarantees and Fast Computation
Denoising AMP for MRI Reconstruction: BM3D-AMP-MRI
Explicit Inversion Formulas for the Two-Dimensional Wave Equation from Neumann Traces
Multistatic Imaging of Extended Targets
A Robust Computational Algorithm for Inverse Photomask Synthesis in Optical Projection Lithography
Phase Retrieval with Polarization
Robust Tensor Completion: Equivalent Surrogates, Error Bounds, and Algorithms
Total Variation Regularization for Manifold-Valued Data
Multidimensional Empirical Wavelet Transform
Diffeomorphic Image Registration with an Optimal Control Relaxation and Its Implementation
TILT: Topological Interface Recovery in Limited-Angle Tomography
Higher-Order Feature-Preserving Geometric Regularization
Revisiting Deep Structured Models for Pixel-Level Labeling with Gradient-Based Inference
On the Retrieval of the Directional Scattering Matrix from Directional Noise
A Semismooth Newton Method for L 1 Data Fitting with Automatic Choice of Regularization Parameters and Noise Calibration
Image Denoising: The Deep Learning Revolution and Beyond - A Survey Paper
Analysis of Image Registration with Tangent Distance
Local Image Structure and Procrustes Metrics
Locating Multiple Multiscale Electromagnetic Scatterers by a Single Far-Field Measurement
Oracle Inequalities and Minimax Rates for Nonlocal Means and Related Adaptive Kernel-Based Methods
Multiscale Approach for Three-Dimensional Conformal Image Registration
Stable Camera Motion Estimation Using Convex Programming
Local Image Features Resulting from 3-Dimensional Geometric Features, Illumination, and Movement: II
Fidelity-Beltrami-Sparsity Model for Inverse Problems in Multichannel Image Processing
Imaging Anisotropic Conductivities from Current Densities
A Variational Approach for Sharpening High Dimensional Images
QIS : Interactive Segmentation via Quasi-conformal Mappings
The Whole and the Parts: The Minimum Description Length Principle and the A-Contrario Framework
The Flutter Shutter Paradox
Discrete Total Variation: New Definition and Minimization
Spherical Designs and Nonconvex Minimization for Recovery of Sparse Signals on the Sphere
The Generation of Correlated Gamma Distributed Random Fields for the Simulation of Synthetic Aperture Radar Images
Steerable PCA for Rotation-Invariant Image Recognition
The Averaged Kaczmarz Iteration for Solving Inverse Problems
Accelerating Proximal Markov Chain Monte Carlo by Using an Explicit Stabilized Method
Reconstruction of Domains with Algebraic Boundaries from Generalized Polarization Tensors
A Variational Model for Joint Motion Estimation and Image Reconstruction
PhaseNet: A Deep Learning Based Phase Reconstruction Method for Ground-Based Astronomy
Maximum Likelihood Estimation of Regularization Parameters in High-Dimensional Inverse Problems: An Empirical Bayesian Approach. Part II: Theoretical Analysis
A Generalization of Wirtinger Flow for Exact Interferometric Inversion
Complex Composite Derivative and Its Application to Edge Detection
Solving Inverse Problems by Joint Posterior Maximization with Autoencoding Prior
Computation of Circular Area and Spherical Volume Invariants via Boundary Integrals
Near-Field Imaging of Infinite Rough Surfaces in Dielectric Media
A Continuous Scale Space of Diffeomorphisms
Compressive Acquisition of Linear Dynamical Systems
A TGV-Based Framework for Variational Image Decompression, Zooming, and Reconstruction. Part I: Analytics
Blind Time-of-Flight Imaging: Sparse Deconvolution on the Continuum with Unknown Kernels
A Scale-Invariant Relaxation in Low-Rank Tensor Recovery with an Application to Tensor Completion
Analysis and Synthesis Denoisers for Forward-Backward Plug-and-Play Algorithms
Parametric Level Set Methods for Inverse Problems
Brain Connectivity Mapping Using Riemannian Geometry, Control Theory, and PDEs
A Class of Second-Order Geometric Quasilinear Hyperbolic PDEs and Their Application in Imaging
Steerable Near-Quadrature Filter Pairs in Three Dimensions
Partially Blind Deblurring of Barcode from Out-of-Focus Blur
Photographing Paintings by Image Fusion
Inverse Obstacle Scattering for Elastic Waves with Phased or Phaseless Far-Field Data
Novel Proximal Gradient Methods for Nonnegative Matrix Factorization with Sparsity Constraints
Fast Magnetic Resonance Electrical Impedance Tomography with Highly Undersampled Data
Image Segmentation with Partial Convexity Shape Prior Using Discrete Conformality Structures
Utilizing Variational Autoencoders in the Bayesian Inverse Problem of Photoacoustic Tomography
Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging
Image Warp Preserving Content Intensity
Hypergraph Clustering Using a New Laplacian Tensor with Applications in Image Processing
Polarimetric Fourier Phase Retrieval
Learning Weakly Convex Regularizers for Convergent Image-Reconstruction Algorithms
Weak*-Convergence to Minimum Energy Measure and Dispersed-Dot Halftoning
Morphological Bilateral Filtering
Analytic Inversion of a Conical Radon Transform Arising in Application of Compton Cameras on the Cylinder
Efficient Projection onto the ℓ ∞, 1 Mixed-Norm Ball Using a Newton Root Search Method
Adaptive Compressed Image Sensing Using Dictionaries
Image Recovery for Blind Polychromatic Ptychography
Local Linear Convergence of the ADMM/Douglas-Rachford Algorithms without Strong Convexity and Application to Statistical Imaging
Arbitrary Distributions Mapping via SyMOT-Flow: A Flow-Based Approach Integrating Maximum Mean Discrepancy and Optimal Transport
A Concise Parametrization of Affine Transformation
Variational Approach for Restoring Blurred Images with Cauchy Noise
A Single-Lobe Photometric Stereo Approach for Heterogeneous Material
Multimodal Disentanglement by Latent Variable Separation with Surrogate Modal Specifics and Mixture-of-Distributions Priors
Visual Multiple-Secret Sharing by Circle Random Grids
Multivariate Myriad Filters Based on Parameter Estimation of Student-t Distributions
Convexification for a Three-Dimensional Inverse Scattering Problem with the Moving Point Source
Centering Noisy Images with Application to Cryo-EM
A Unified Framework of Nonlocal Parametric Methods for Image Denoising
PottsMGNet: A Mathematical Explanation of Encoder-Decoder Based Neural Networks
Deblurring of One Dimensional Bar Codes via Total Variation Energy Minimization
Robust Phase Retrieval Algorithm for Time-Frequency Structured Measurements
The Split Gibbs Sampler Revisited: Improvements to Its Algorithmic Structure and Augmented Target Distribution
Total Variation-Based Phase Retrieval for Poisson Noise Removal
Reconstruction of Single-Grain Orientation Distribution Functions for Crystalline Materials
Directional Compactly Supported Tensor Product Complex Tight Framelets with Applications to Image Denoising and Inpainting
Landmark- and Intensity-Based Registration with Large Deformations via Quasi-conformal Maps
Learning Sparsity-Promoting Regularizers Using Bilevel Optimization
A Low Patch-Rank Interpretation of Texture
Practical Acceleration of the Condat-Vũ Algorithm
A Nonlocal Feature-Driven Exemplar-Based Approach for Image Inpainting
Learning Truly Monotone Operators with Applications to Nonlinear Inverse Problems
A Semismooth Newton Method for Nonlinear Parameter Identification Problems with Impulsive Noise
Parallel Transport Convolution: Deformable Convolutional Networks on Manifold-Structured Data
Analysis for Full-Field Photoacoustic Tomography with Variable Sound Speed
The Little Engine That Could: Regularization by Denoising (RED)
A Measure-Theoretic Variational Bayesian Algorithm for Large Dimensional Problems
Total Variation Regularization Strategies in Full-Waveform Inversion
Video Compressive Sensing for Spatial Multiplexing Cameras Using Motion-Flow Models
Sub-Riemannian Mean Curvature Flow for Image Processing
On the Application of the Monge--Kantorovich Problem to Image Registration
Dynamic PET Image Reconstruction via Non-Negative INR Factorization
Reliable Multiscale and Multiwindow Stereo Matching
Deep Neural Networks for Inverse Problems with Pseudodifferential Operators: An Application to Limited-Angle Tomography
Dictionary-Based Block Term Decomposition for Third-Order Tensors
Interior Tomography Using 1D Generalized Total Variation. Part II: Multiscale Implementation
ROM Inversion of Monostatic Data Lifted to Full MIMO
Stein Unbiased GrAdient estimator of the Risk (SUGAR) for Multiple Parameter Selection
Recovering Over-/Underexposed Regions in Photographs
On Learned Operator Correction in Inverse Problems
Erratum: A Continuous Exact ℓ 0 Penalty (CEL0) for Least Squares Regularized Problem
Image Decompositions Using Spaces of Variable Smoothness and Integrability
HPPP: Halpern-Type Preconditioned Proximal Point Algorithms and Applications to Image Restoration
Color Image Inpainting via Robust Pure Quaternion Matrix Completion: Error Bound and Weighted Loss
Multiscale Nonrigid Point Cloud Registration Using Rotation-Invariant Sliced-Wasserstein Distance via Laplace-Beltrami Eigenmap
The Linearized Bregman Method via Split Feasibility Problems: Analysis and Generalizations
Accelerated Optimization in the PDE Framework: Formulations for the Manifold of Diffeomorphisms
On Phase Unwrapping via Digital Wavefront Sensors
Optimal Transport Approximation of 2-Dimensional Measures
Analysis and Generalizations of the Linearized Bregman Method
Detection of Long Edges on a Computational Budget: A Sublinear Approach
Discrete Conformal Deformation: Algorithm and Experiments
A Method of Reduction of Artifacts of Quantitative Susceptibility Mapping
Level Set Regularization Using Geometric Flows
Lattice-Based Patterned Fabric Inspection by Using Total Variation with Sparsity and Low-Rank Representations
Nonlocal Active Contours
Short Communication: Weak Sparse Superresolution is Well-Conditioned
A TGV-Based Framework for Variational Image Decompression, Zooming, and Reconstruction. Part II: Numerics
Provably Convergent Plug-and-Play Quasi-Newton Methods
Interpolation of the MacAdam Ellipses
Weighted Spectral Filters for Kernel Interpolation on Spheres: Estimates of Prediction Accuracy for Noisy Data
Three-Dimensional Image Reconstruction from Compton Camera Data
A General Framework for a Class of First Order Primal-Dual Algorithms for Convex Optimization in Imaging Science
Robustness of Data-Driven Approaches in Limited Angle Tomography
Dynamic Image Reconstruction with Motion Priors in Application to Three Dimensional Magnetic Particle Imaging
A Low-Rank Approach to Off-the-Grid Sparse Superresolution
CLEAR: Covariant LEAst-Square Refitting with Applications to Image Restoration
The Modulo Radon Transform: Theory, Algorithms, and Applications
Enhancing Pure-Pixel Identification Performance via Preconditioning
Generalized Newton-Type Methods for Energy Formulations in Image Processing
Direct, Nonlinear Inversion Algorithm for Hyperbolic Problems via Projection-Based Model Reduction
On the Use of Start-Stop Approximation for Spaceborne SAR Imaging
Multispectral Image Restoration by Generalized Opponent Transformation Total Variation
An Improved Fast Iterative Shrinkage Thresholding Algorithm for Image Deblurring
Euler's Elastica-Based Cartoon-Smooth-Texture Image Decomposition
Completion of Visible Contours
Pseudo-monochromatic Imaging in Industrial X-Ray Computed Tomography
Linearly Constrained Non-Lipschitz Optimization for Image Restoration
A Two-Stage Algorithm for Joint Multimodal Image Reconstruction
Polynomial Preconditioners for Regularized Linear Inverse Problems
Convex Relaxation of Vectorial Problems with Coupled Regularization
Convergence Results for Primal-Dual Algorithms in the Presence of Adjoint Mismatch
A Formalization of Image Vectorization by Region Merging
Maximum-a-Posteriori Estimation with Bayesian Confidence Regions
Registration of Multiple Shapes using Constrained Optimal Control
Low-Rank Tensor Approximations for Solving Multimarginal Optimal Transport Problems
Total Generalized Variation on a Tree
Fast Certifiable Algorithm for the Absolute Pose Estimation of a Camera
On the Role of Total Variation in Compressed Sensing
Bilateral Tensor Low-Rank Representation for Insufficient Observed Samples in Multidimensional Image Clustering and Recovery
Convergence Study on the Symmetric Version of ADMM with Larger Step Sizes
Inverse Obstacle Scattering in Two Dimensions with Multiple Frequency Data and Multiple Angles of Incidence
A Projected Nesterov-Kaczmarz Approach to Stellar Population-Kinematic Distribution Reconstruction in Extragalactic Archaeology
Numerical Analysis of the Topological Gradient Method for Fourth Order Models and Applications to the Detection of Fine Structures in Imaging
Limited-Angle CT Reconstruction via the L 1/L 2 Minimization
On Covariant Derivatives and Their Applications to Image Regularization
Texture Map and Video Compression Using Beltrami Representation
IML FISTA: A Multilevel Framework for Inexact and Inertial Forward-Backward. Application to Image Restoration