yusuke1997/dblp-id-title huggingface dataset:
Characterization of ground-based telescope control systems: A systematic mapping study
ArXSP: A python-based modular application for the reduction of digitized archival spectra
The Calibration Reference Data System
The effect of floating-point precision on narrow-band all-sky continuous gravitational-wave search algorithm
A machine learning classifier for microlensing in wide-field surveys
Existence and uniqueness of solution to the system of integral equations in the planar Earth, Sun and satellite system
AMADA - Analysis of multidimensional astronomical datasets
On visualization techniques for solar data mining
Single star SCIDAR: Atmospheric parameters profiling using the power spectrum of scintillation
GriSPy: A Python package for fixed-radius nearest neighbors search
Finding cosmic voids and filament loops using topological data analysis
Detection of extragalactic Ultra-compact dwarfs and Globular Clusters using Explainable AI techniques
AST: A library for modelling and manipulating coordinate systems
Polytropic wind solutions via the Complex Plane Strategy
Point source detection and false discovery rate control on CMB maps
The moving mesh code Shadowfax
Probing the sparse tails of redshift distributions with Voronoi tessellations
Gradient Path Labelling method and tracking method for calculation of solar differential rotation using coronal bright points
A multi-stage machine learning-based method to estimate wind parameters from Hα lines of massive stars
Evaluation metrics for galaxy image generators
Casacore Table Data System and its use in the MeasurementSet
Toyz: A framework for scientific analysis of large datasets and astronomical images
The AIverse project: Simulating, analyzing, and describing galaxies and star clusters with artificial intelligence
Sensitivity estimation for dark matter subhalos in synthetic Gaia DR2 using deep learning
Stellar spectral classification using convolutional neural networks on objective prism plates
The ESA Gaia Archive: Data Release 1
pyro: A teaching code for computational astrophysical hydrodynamics
Effectively using unsupervised machine learning in next generation astronomical surveys
Predicting pulsar stars using a random tree boosting voting classifier (RTB-VC)
A novel greedy approach to harmonic summing using GPUs
Radio variable sources at 1400 MHz and their optical variability
PHOTOMETRYPIPELINE: An automated pipeline for calibrated photometry
MAR: A Multiband Astronomical Reduction package
Evaluating virtual hosted desktops for graphics-intensive astronomy
An efficient parallel semi-implicit solver for anisotropic thermal conduction in the solar corona
Charge reconstruction of HERD silicon charge detectors based on MLP
An Ultra Fast Image Generator (UFig) for wide-field astronomy
The AGILEScience mobile application for the AGILE space mission
ASDF: A new data format for astronomy
High-order wavelet-based numerical algorithms for nonlinear singular Lane-Emden-Fowler equations: Applications to physical models in astrophysics
HiSS-Cube: A scalable framework for Hierarchical Semi-Sparse Cubes preserving uncertainties
BlaST - A machine-learning estimator for the synchrotron peak of blazars
Determining the parameter for the linear force-free magnetic field model with multi-dipolar configurations using deep neural networks
Armenian Virtual Observatory: Status and activities
Estimation of exoplanetary planet-to-star radius ratio with homomorphic processing
Observatory/data centre partnerships and the VO-centric archive: The JCMT Science Archive experience
Introducing article numbering to Astronomy and Computing
APPHi: An automated photometry pipeline for high cadence, large volume data
ASON: An OWL-S based ontology for astrophysical services
Real-time dedispersion for fast radio transient surveys, using auto tuning on many-core accelerators
PySE: Software for extracting sources from radio images
HILIGT, Upper Limit Servers II - Implementing the data servers
A connectivity-based method for detecting clumpy structures in molecular clouds
A Lagrangian scheme for time-dependent ionization in simulations of astrophysical plasmas
RadioLensfit: An HPC tool for accurate galaxy shape measurement with SKA
Microlensing model inference with normalising flows and reversible jump MCMC
A study of the equilibrium dynamics of the test particle in the collinear circular restricted four-body problem with non-spherical central primary
Time-dependent tomographic reconstruction of the solar corona
Transient simulations for radio surveys
AstroMLab 1: Who wins astronomy jeopardy!?
SERPent: Automated reduction and RFI-mitigation software for e-MERLIN
On the equilibrium points of the collinear restricted 4-body problem with non-spherical bodies
Modeling microlensing events with MulensModel
Dark Matter Subhalo interpretations using machine learning: The fourth Fermi- LAT catalog
Towards an astronomical science platform: Experiences and lessons learned from Chinese Virtual Observatory
Survey-wide asteroid discovery with a high-performance computing enabled non-linear digital tracking framework
Data-driven satellite orbit prediction using two-line elements
An UBVRI calibration method based on Pan-STARRS photometric survey
Astronomical imagery: Considerations for a contemporary approach with JPEG2000
A group sparsity imaging algorithm for transient radio sources
Introducing PyCross: PyCloudy Rendering Of Shape Software for pseudo 3D ionisation modelling of nebulae
Comparison of automatic methods to detect sunspots in the Coimbra Observatory spectroheliograms
Corrigendum to 'Fast error-controlling MOID computation for confocal elliptic orbits' [Astronomy & Computing 27 (2019) 11-22]
Dynamics of periodic orbits in the Copenhagen problem with non-spherical primaries
Galaxy morphology classification using automated machine learning
A redistribution tool for long-term archive of astronomical observation data
Study on outliers in the big stellar spectral dataset of the fifth data release (DR5) of the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST)
A communication efficient and scalable distributed data mining for the astronomical data
GPU-accelerated algorithm for asteroid shape modeling
Mobile applications and Virtual Observatory
Parameterized Hubble parameter with observational constraints in fractal gravity
HDFITS: Porting the FITS data model to HDF5
Analysis tool for lunar crescent visibility criterion based on integrated lunar crescent database
Detecting multiple periodicities in observational data with the multifrequency periodogram - II. Frequency Decomposer, a parallelized time-series analysis algorithm
Addressing type Ia supernova color variability with a linear spectral template
VaST: A variability search toolkit
Photometric redshifts for the S-PLUS Survey: Is machine learning up to the task?
FellWalker - A clump identification algorithm
Riesz Feature Representation: Scale Equivariant Scattering Network for Classification Tasks
Convergent Conformal Energy Minimization for the Computation of Disk Parameterizations
An Anisotropic Inf-Convolution BV Type Model for Dynamic Reconstruction
On Affine Invariant Descriptors Related to SIFT
Scale-Space Analysis of Discrete Filtering over Arbitrary Triangulated Surfaces
Rendition: Reclaiming What a Black Box Takes Away
A Quantum Information-Based Refoundation of Color Perception Concepts
Analysis of Descent-Based Image Registration
Kernel Density Estimation on Spaces of Gaussian Distributions and Symmetric Positive Definite Matrices
A Probabilistic Contour Observer for Online Visual Tracking
Group Equivariant Morphological Networks
The Generalized Linear Sampling Method for Limited Aperture Measurements
A Multiphase Image Segmentation Method Based on Fuzzy Region Competition
Local Analysis of Iterative Reconstruction from Discrete Generalized Radon Transform Data in the Plane
Wavelet Statistics of Sparse and Self-Similar Images
Two-Stage Decolorization Based on Histogram Equalization and Local Variance Maximization
Marginal Likelihood Estimation in Semiblind Image Deconvolution: A Stochastic Approximation Approach
A Doubly Graduated Method for Inference in Markov Random Field
Well-Posedness for Photoacoustic Tomography with Fabry-Perot Sensors
Modeling and Estimation of Shape Deformation for Topology-Preserving Object Tracking
Spectral Embedding Norm: Looking Deep into the Spectrum of the Graph Laplacian
Uniqueness Results for Scattering and Inverse Scattering by Infinite Rough Surfaces with Tapered Wave Incidence
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
Synchronization of Independently Moving Cameras via Motion Recovery
Superresolution in Recovering Embedded Electromagnetic Sources in High Contrast Media
Fast Alternating Direction Optimization Methods
Spherical Conformal Parameterization of Genus-0 Point Clouds for Meshing
Overparameterized Models for Vector Fields
A PCA Based Model for Surface Reconstruction from Incomplete Point Clouds
A New Semiblind Deconvolution Approach for Fourier-Based Image Restoration: An Application in Astronomy
Extrapolated Plug-and-Play Three-Operator Splitting Methods for Nonconvex Optimization with Applications to Image Restoration
Non-Lipschitz Models for Image Restoration with Impulse Noise Removal
A New Algorithm Framework for Image Inpainting in Transform Domain
Numerical Reconstruction of Electromagnetic Inclusions in Three Dimensions
Multivalued Geodesic Ray-Tracing for Computing Brain Connections Using Diffusion Tensor Imaging
An Adaptive Heavy Ball Method for Ill-Posed Inverse Problems
On the Bertozzi-Esedoglu-Gillette-Cahn-Hilliard Equation with Logarithmic Nonlinear Terms
Sequential Model Correction for Nonlinear Inverse Problems
Signal to Noise Ratio Analysis in Virtual Source Array Imaging
Compressive Computed Tomography Reconstruction through Denoising Approximate Message Passing
Invariant φ-Minimal Sets and Total Variation Denoising on Graphs
Sparse Signal Reconstruction via Iterative Support Detection
Image Sharpening via Sobolev Gradient Flows
Strong Solutions for PDE-Based Tomography by Unsupervised Learning
Color Image Restoration by Saturation-Value Total Variation
A Characteristic Function-Based Algorithm for Geodesic Active Contours
Parallelizable Global Quasi-Conformal Parameterization of Multiply Connected Surfaces via Partial Welding
Synthetic Aperture Imaging of Direction- and Frequency-Dependent Reflectivities
Benchmark Problems for Phase Retrieval
Second Order Differences of Cyclic Data and Applications in Variational Denoising
Regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over Riemannian Manifolds
Numerical Reconstruction of Radiative Sources in an Absorbing and Nondiffusing Scattering Medium in Two Dimensions
On the Generation of Sampling Schemes for Magnetic Resonance Imaging
Multifrequency Impedance Imaging with Multiple Signal Classification
A Greedy Approach to ℓ 0, ∞ -Based Convolutional Sparse Coding
Template Shape Estimation: Correcting an Asymptotic Bias
Inverse Problem for a Planar Conductivity Inclusion
The Linearized Inverse Problem in Multifrequency Electrical Impedance Tomography
An Adaptive Correction Approach for Tensor Completion
Level Set Based Multispectral Segmentation with Corners
Digital Affine Shear Transforms: Fast Realization and Applications in Image/Video Processing
Multiscale Hierarchical Image Decomposition and Refinements: Qualitative and Quantitative Results
Higher-Order Total Directional Variation: Imaging Applications
Using Decoupled Features for Photorealistic Style Transfer
A Nonlinear Elasticity Model in Computer Vision
Differentiable Piecewise-Bézier Surfaces on Riemannian Manifolds
Mathematical Morphology on the Triangular Grid: The Strict Approach
Numerical Inversion of Three-Dimensional Geodesic X-Ray Transform Arising from Travel Time Tomography
Global Solutions of Variational Models with Convex Regularization
Distributed Stochastic Inertial-Accelerated Methods with Delayed Derivatives for Nonconvex Problems
Regularized Generalized Inverse Accelerating Linearized Alternating Minimization Algorithm for Frame-Based Poissonian Image Deblurring
Imaging a Moving Point Source from Multifrequency Data Measured at One and Sparse Observation Directions (Part I): Far-Field Case
Multiscale Reverse-Time-Migration-Type Imaging Using the Dyadic Parabolic Decomposition of Phase Space
Additive-Bias-Correction Variational Model for Noisy and Intensity-Inhomogeneous Image Segmentation
On SAR Imaging through the Earth's Ionosphere
A Bayesian Nonparametric Model Coupled with a Markov Random Field for Change Detection in Heterogeneous Remote Sensing Images
Total Variation Denoising in l 1 Anisotropy
Semisupervised Dictionary Learning with Graph Regularized and Active Points
A Helmholtz Principle Approach to Parameter Free Change Detection and Coherent Motion Using Exchangeable Random Variables
Image Deconvolution Using a General Ridgelet and Curvelet Domain
Numerical Implementation of Generalized V-Line Transforms on 2D Vector Fields and their Inversions
Choose Your Path Wisely: Gradient Descent in a Bregman Distance Framework
Affine Skeletons and Monge--Amp[e-grave]re Equations
A Spatial Color Compensation Model Using Saturation-Value Total Variation
Quantitative Fluorescence Photoacoustic Tomography
Edge Detection Filter based on Mumford-Shah Green Function
A Bilevel Optimization Approach for Parameter Learning in Variational Models
On the Nonlinear Statistics of Range Image Patches
Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems
Finding Low-Rank Solutions via Nonconvex Matrix Factorization, Efficiently and Provably
The Linearized Hellinger-Kantorovich Distance
Passive Imaging of Moving Targets Using Sparse Distributed Apertures
Entropy-Based Selection of Cluster Representatives for Document Image Compression
High-Resolution, Quantitative Signal Subspace Imaging for Synthetic Aperture Radar
Asymptotic Expansions for Higher Order Elliptic Equations with an Application to Quantitative Photoacoustic Tomography
Proximal Langevin Sampling with Inexact Proximal Mapping
Cascadic Multiresolution Methods for Image Deblurring
3D Orientation-Preserving Variational Models for Accurate Image Registration
A Data-Assisted Two-Stage Method for the Inverse Random Source Problem
Shared Prior Learning of Energy-Based Models for Image Reconstruction
Linearized Bregman Iterations for Frame-Based Image Deblurring
An Adaptive Nonuniform Map Re-weighting Method for Image Dehazing
Optimal Transport Driven CycleGAN for Unsupervised Learning in Inverse Problems
Convexification Numerical Method for a Coefficient Inverse Problem for the Riemannian Radiative Transfer Equation
Low-Frequency Electromagnetic Imaging Using Sensitivity Functions and Beamforming
Compressive Imaging Through Optical Fiber with Partial Speckle Scanning
A Fast Data-Driven Iteratively Regularized Method with Convex Penalty for Solving Ill-Posed Problems
On Decomposition Models in Imaging Sciences and Multi-time Hamilton-Jacobi Partial Differential Equations
Anisotropic Adapted Meshes for Image Segmentation: Application to Three-Dimensional Medical Data
Lifting for Blind Deconvolution in Random Mask Imaging: Identifiability and Convex Relaxation
Generalized Nonconvex Hyperspectral Anomaly Detection via Background Representation Learning with Dictionary Constraint
Blind Deconvolution by a Steepest Descent Algorithm on a Quotient Manifold
Color Bregman TV
Diffeomorphic Surface Registration with Atrophy Constraints
Data Driven Tight Frame for Compressed Sensing MRI Reconstruction via Off-the-Grid Regularization
A Bayesian Topological Framework for the Identification and Reconstruction of Subcellular Motion
Variational Image Regularization with Euler's Elastica Using a Discrete Gradient Scheme
Accelerated Optimization in the PDE Framework Formulations for the Active Contour Case
Density-Equalizing Maps for Simply Connected Open Surfaces
A Time Dependent Variational Approach to Image Restoration
A Novel Algorithm for Volume-Preserving Parameterizations of 3-Manifolds
Theoretical Foundation of the Stretch Energy Minimization for Area-Preserving Simplicial Mappings
Guidefill: GPU Accelerated, Artist Guided Geometric Inpainting for 3D Conversion of Film
Kernel Metrics on Normal Cycles and Application to Curve Matching
Common Lines Ab Initio Reconstruction of D 2 -Symmetric Molecules in Cryo-Electron Microscopy
Online Deconvolution for Industrial Hyperspectral Imaging Systems
Imaging of Anisotropic Conductivities from Current Densities in Two Dimensions
Visualizing Shape Functionals via Sinkhorn Multidimensional Scaling
Schwarzschild Harmonic Path Planning and Tetrahedral Mesh Smoothing
Best Algorithms for HDR Image Generation. A Study of Performance Bounds
Geodesic Evolution Laws---A Level-Set Approach
Structural Connectivity Analysis Using Finsler Geometry
A Compressed Sensing Framework for Magnetic Resonance Fingerprinting
Localization of Point Scatterers via Sparse Optimization on Measures
Resolution-Controlled Conductivity Discretization in Electrical Impedance Tomography
Linear Convergence of Randomized Kaczmarz Method for Solving Complex-Valued Phaseless Equations
A Stochastic Algorithm Based on Fast Marching for Automatic Capacitance Extraction in Non-Manhattan Geometries
A D-Bar Algorithm with A Priori Information for 2-Dimensional Electrical Impedance Tomography
The Multiphase Mumford-Shah Problem
PnP-ReG: Learned Regularizing Gradient for Plug-and-Play Gradient Descent
Error Estimates for Weakly Convex Frame-Based Regularization Including Learned Filters
Stochastic Super-resolution for Gaussian Microtextures
Stability and Resolution Analysis of Topological Derivative Based Localization of Small Electromagnetic Inclusions
A Mathematical Model for SAR Imaging beyond the First Born Approximation
Increasing Stability for Recovering Anisotropic Potential in Elastic Scattering from a Linearized Dirichlet to Neumann Map
Multiplicative Reweighting for Robust Neural Network Optimization
Regularized CNN with Geodesic Active Contour and Edge Predictor for Image Segmentation
Direct Elastic Imaging of a Small Inclusion
A Variational Model for Nonuniform Low-Light Image Enhancement
Enhancing Compressed Sensing 4D Photoacoustic Tomography by Simultaneous Motion Estimation
A Wasserstein-Type Distance for Gaussian Mixtures on Vector Bundles with Applications to Shape Analysis
Numerical Implementation of Geodesic X-Ray Transforms and Their Inversion
A Convex Approach to Minimal Partitions
A Stochastic Variance Reduced Primal Dual Fixed Point Method for Linearly Constrained Separable Optimization
Topological Sensitivity for Solving Inverse Multiple Scattering Problems in Three-dimensional Electromagnetism. Part I: One Step Method
One Shot Inverse Scattering Revisited
Coherence Pattern-Guided Compressive Sensing with Unresolved Grids
Orthogonal Matrix Retrieval with Spatial Consensus for 3D Unknown View Tomography
Total Generalized Variation for Manifold-Valued Data
Inverse Scattering for Schrödinger Equation in the Frequency Domain via Data-Driven Reduced Order Modeling
Intrinsic Feature Extraction on Hippocampal Surfaces and Its Applications
Multimodal 3D Shape Reconstruction under Calibration Uncertainty Using Parametric Level Set Methods
Direct Estimation of Appearance Models for Segmentation
On the Circular Area Signature for Graphs
Recovery of Surfaces and Functions in High Dimensions: Sampling Theory and Links to Neural Networks
Asymptotic Performance of Global Denoising
Automatic Grid Resolution and Efficient Triangulation of Implicit Vector Field
Image Denoising Using Mean Curvature of Image Surface
A Note on the Size of Denoising Neural Networks
Linesearch-Enhanced Forward-Backward Methods for Inexact Nonconvex Scenarios
Accelerating Sparse Recovery by Reducing Chatter
An Accelerated Proximal Gradient Algorithm for Frame-Based Image Restoration via the Balanced Approach
DIP-VBTV: A Color Image Restoration Model Combining a Deep Image Prior and a Vector Bundle Total Variation
Signal Recovery and System Calibration from Multiple Compressive Poisson Measurements
Efficient Parallel Data Optimization for Homogeneous Diffusion Inpainting of 4K Images
Nonlinear Iterative Hard Thresholding for Inverse Scattering
A Sharp Sufficient Condition for B-Spline Vector Field Invertibility. Application to Diffeomorphic Registration and Interslice Interpolation
On the Convergence Rate of Projected Gradient Descent for a Back-Projection Based Objective
Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields
Exploring Structural Sparsity of Coil Images from 3-Dimensional Directional Tight Framelets for SENSE Reconstruction
Matched-Filter and Correlation-Based Imaging for Fast Moving Objects Using a Sparse Network of Receivers
An Acousto-electric Inverse Source Problem
Three-Dimensional Structure Determination from Common Lines in Cryo-EM by Eigenvectors and Semidefinite Programming
Multiresolution Parameter Choice Method for Total Variation Regularized Tomography
Efficient Reconstruction of Piecewise Constant Images Using Nonsmooth Nonconvex Minimization
Analysis of Iterative Methods in Photoacoustic Tomography with Variable Sound Speed
Multifractal Analysis of Multivariate Images Using Gamma Markov Random Field Priors
The Frobenius Integrability Theorem and the Blind-Spot Problem for Motor Vehicles
Introduction to the Special Section on Optimization in Imaging Sciences
Erratum: A Formal Gamma-Convergence Approach for the Detection of Points in 2-D Images
Compressed Sensing Photoacoustic Tomography Reduces to Compressed Sensing for Undersampled Fourier Measurements
Cahn-Hilliard Inpainting with the Double Obstacle Potential
Simultaneous High Dynamic Range and Superresolution Imaging without Regularization
Self-Supervised Deep Learning for Image Reconstruction: A Langevin Monte Carlo Approach
Joint Multichannel Deconvolution and Blind Source Separation
Smoothing Nonlinear Conjugate Gradient Method for Image Restoration Using Nonsmooth Nonconvex Minimization
Modelling the Effect of Focusing Detectors in Photoacoustic Sectional Imaging
V-Line Tensor Tomography: Numerical Results
Simultaneous Reconstruction of Conductivity, Boundary Shape, and Contact Impedances in Electrical Impedance Tomography
A Deep Learning Framework for Diffeomorphic Mapping Problems via Quasi-conformal Geometry Applied to Imaging
TEMPO: Feature-Endowed Teichmüller Extremal Mappings of Point Clouds
A Color Elastica Model for Vector-Valued Image Regularization
Non-Local Retinex - A Unifying Framework and Beyond
Fast Randomized Algorithms for t-Product Based Tensor Operations and Decompositions with Applications to Imaging Data
Displacement Reconstructions in Ultrasound Elastography
Wavelet Decomposition Method for L 2/ /TV-Image Deblurring
Langevin Equations for Landmark Image Registration with Uncertainty
Super-Resolution of Positive Sources: The Discrete Setup
Multiple Relaxation Time Lattice Boltzmann Models for Multigrid Phase-Field Segmentation of Tumors in 3D Ultrasound Images
Efficient Diffusion Posterior Sampling for Noisy Inverse Problems
Imaging of Atmospheric Dispersion Processes with Differential Absorption Lidar
Generalized Alternating Projection for Weighted-퓁 2, 1 Minimization with Applications to Model-Based Compressive Sensing
Combinatorial Continuous Maximum Flow
Tracking of a Mobile Target Using Generalized Polarization Tensors
Line Search Multilevel Optimization as Computational Methods for Dense Optical Flow
Displacement and Pressure Reconstruction from Magnetic Resonance Elastography Images: Application to an In Silico Brain Model
Efficient Boosted DC Algorithm for Nonconvex Image Restoration with Rician Noise
Multiscale Mining of fMRI Data with Hierarchical Structured Sparsity
High-Resolution Interferometric Synthetic Aperture Imaging in Scattering Media
Generic Half-Quadratic Optimization for Image Reconstruction
Compressive Imaging: An Application
On Iteratively Reweighted Algorithms for Nonsmooth Nonconvex Optimization in Computer Vision
Reconstruction of the High Resolution Phase in a Closed Loop Adaptive Optics System
Screened Poisson Hyperfields for Shape Coding