yusuke1997/dblp-id-title huggingface dataset:
Simultaneous Multifrequency Demodulation for Single-Shot Multiple-Path ToF Imaging
Real-Time Model-Based Quantitative Ultrasound and Radar
OccCasNet: Occlusion-Aware Cascade Cost Volume for Light Field Depth Estimation
Image Restoration and Reconstruction using Targeted Plug-and-Play Priors
A Generalized Phase Gradient Autofocus Algorithm
Accurate Multi-Material Decomposition in Dual-Energy CT: A Phantom Study
Polyblur: Removing Mild Blur by Polynomial Reblurring
Fast 3-D Ultrasonic Imaging Using Time-Domain Synthetic Aperture Focusing Techniques Based on Circular Scan Conversions
Joint Reconstruction of Absorbed Optical Energy Density and Sound Speed Distributions in Photoacoustic Computed Tomography: A Numerical Investigation
View-Consistent MeshFlow for Stereoscopic Video Stabilization
Sub-Pixel Dispersion Model for Coded Aperture Snapshot Spectral Imaging
Adaptive Sparse Image Sampling and Recovery
Compressive Synthetic Aperture Radar Imaging and Autofocusing by Augmented Lagrangian Methods
Adaptive Local Neighborhood-Based Neural Networks for MR Image Reconstruction From Undersampled Data
Low-Rank Angular Prior Guided Multi-Diffusion Model for Few-Shot Low-Dose CT Reconstruction
Deep Learning for TOF Extraction in Bone Ultrasound Tomography
Solving Inverse Computational Imaging Problems Using Deep Pixel-Level Prior
TIF-Net: Self-Supervised Net via Tuy's Inversion Formula for Limited Angle Reconstruction
High-Accuracy Image Formation Model for Coded Aperture Snapshot Spectral Imaging
GraphEIT: Unsupervised Graph Neural Networks for Electrical Impedance Tomography
Spatial-Frequency Multi-Scale Transformer for Deblurring and Shape-Preserving Reconstruction in Magnetic Particle Imaging
Self-Supervised Coordinate Projection Network for Sparse-View Computed Tomography
Joint Retrospective Motion Correction and Reconstruction for Brain MRI With a Reference Contrast
Deep Spatial-Spectral Representation Learning for Hyperspectral Image Denoising
Tensor Completion Via Collaborative Sparse and Low-Rank Transforms
Bayesian Inversion for Nonlinear Imaging Models Using Deep Generative Priors
Joint Distributed Traveltime and Full Waveform Tomography for Enhanced Subsurface Imaging in Seismic Networks
Sparsity-Aware OCT Volumetric Data Restoration Using Optical Synthesis Model
Photon Allocation Strategy in Region-of-Interest Tomographic Imaging
Reconstructing Video of Time-Varying Sources From Radio Interferometric Measurements
A High-Speed Camera-Based Approach to Massive Sound Sensing With Optical Wireless Acoustic Sensors
Bistatic Forward-Looking SAR Imaging of Uniformly Moving Target Based on Improved BP Algorithm
Bounds and Conditions for Compressive Digital Holography Using Wavelet Sparsifying Bases
Spectral Analysis With a Piecewise Separation Occlusion Model for Image-Based Rendering
The Potential of Phase Constraints for Non-Fourier Radiofrequency-Encoded MRI
Far-Field Acoustic Imaging Enhancement Using Compact Graded Refractive Index Metamaterials
Self-Supervised Learning of Monocular Depth Estimation Based on Progressive Strategy
An Adversarial Learning Based Approach for 2D Unknown View Tomography
Hyperbolic Wavelet-Fisz Denoising for a Model Arising in Ultrasound Imaging
Learning to Describe Scenes via Privacy-Aware Designed Optical Lens
GAN-FM: Infrared and Visible Image Fusion Using GAN With Full-Scale Skip Connection and Dual Markovian Discriminators
Low-Light Demosaicking and Denoising for Small Pixels Using Learned Frequency Selection
SGD-Net: Efficient Model-Based Deep Learning With Theoretical Guarantees
Nonlocal Structure Tensor Functionals for Image Regularization
Pre-migration: A General Extension for Photoacoustic Imaging Reconstruction
Maximum Likelihood Based Phase-Retrieval Using Fresnel Propagation Forward Models With Optional Constraints
Single-Shot Focus Estimation for Microscopy Imaging With Kernel Distillation
Iterative Approach to Reconstructing Neural Disparity Fields From Light-Field Data
A Comparative Error Analysis of Current Time-of-Flight Sensors
Closed-Form Approximation of the Total Variation Proximal Operator
An Analysis of the Assumptions Inherent to Near-Field Beamforming for Biomedical Applications
Unsupervised Low-Dose CT Reconstruction With One-Way Conditional Normalizing Flows
Ice-Tide: Implicit Cryo-ET Imaging and Deformation Estimation
Spatial-Angular Versatile Convolution for Light Field Reconstruction
Estimating Reflectance Parameters, Light Direction, and Shape From a Single Multispectral Image
Light Field-Based Underwater 3D Reconstruction via Angular Re-Sampling
Blind X-Ray CT Image Reconstruction From Polychromatic Poisson Measurements
Fourier Analysis of Interference Scanning Optical Probe Microscopy
Sample Efficient Fourier Ptychography for Structured Data
Blind NCS-Based Autofocus for Airborne Wide-Beam SAR Imaging
On the Fusion of Energy Resolved Scatter and Attenuation Data for Limited-View X-Ray Materials Characterization With Application to Security Screening
Optimal Gradient Encoding Schemes for Diffusion Tensor and Kurtosis Imaging
Super-Resolution Image Reconstruction for High-Density Three-Dimensional Single-Molecule Microscopy
Inverse Scattering via Transmission Matrices: Broadband Illumination and Fast Phase Retrieval Algorithms
Collaborative Deep Learning for Super-Resolving Blurry Text Images
Domain Expansion via Network Adaptation for Solving Inverse Problems
Solution of 2D MIT Forward Problem by Considering Skin and Proximity Effects in Coils
Spectral Memory-Enhanced Network With Local Non-Local and Low-Rank Priors for Hyperspectral Image Compressive Imaging
Contrast-Medium Anisotropy-Aware Tensor Total Variation Model for Robust Cerebral Perfusion CT Reconstruction With Low-Dose Scans
When de Prony Met Leonardo: An Automatic Algorithm for Chemical Element Extraction From Macro X-Ray Fluorescence Data
Multi-Interactive Enhanced for Defocus Blur Estimation
IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI
Real-Time High-Fidelity Compression for Extremely High Frame Rate Video Cameras
Combining Two-Layer Semi-Three-Dimensional Reconstruction and Multi-Wavelength Image Fusion for Functional Diffuse Optical Tomography
Exoplanet Imaging via Differentiable Rendering
Multi-Resolution Data Fusion for Super Resolution Imaging
Wasserstein Patch Prior for Image Superresolution
A New Nonlinear Sparse Optimization Framework in Ultrasound-Modulated Optical Tomography
Efficient and Robust Recovery of Sparse Signal and Image Using Generalized Nonconvex Regularization
A Tripartite Data-Driven Approach for Wide-Band Electromagnetic Imaging
Nonlocal Tensor Decomposition With Joint Low Rankness and Smoothness for Spectral CT Image Reconstruction
Restoration on High Turbidity Water Images Under Near-Field Illumination Using a Light-Field Camera
Structured Illumination Microscopy With Uncertainty-Guided Deep Learning
Multi-Video Super-Resolution: Spatiotemporal Fusion for Sparse Camera Array
Convergence-Guaranteed Spectral CT Reconstruction via Internal and External Prior Mining
Deep Motion Regularizer for Video Snapshot Compressive Imaging
Imaging Through the Atmosphere Using Turbulence Mitigation Transformer
A Analytical Kernel-Based Stacked Pupil Shift Matrix Decomposition Method for Partially Coherent Imaging
Incorporating a Noise Reduction Technique Into X-Ray Tensor Tomography
Application of Kirchhoff Migration Principle for Hardware-Efficient Near-Field Radar Imaging
Double-Branched and Multi-Magnetic Directions Feature Fusion Network (DB&MDF2-Net) for the Accurate Reconstruction of Magnetic Particle Imaging
A Helical Reconstruction Network for Multi-Source Static CT
Test-Time Adaptation Improves Inverse Problem Solving With Patch-Based Diffusion Models
Joint Inversion of Electromagnetic and Acoustic Data With Edge-Preserving Regularization for Breast Imaging
Electromagnetic Inverse Scattering With Perceptual Generative Adversarial Networks
Fixed-Point and Objective Convergence of Plug-and-Play Algorithms
Single-Pixel Imaging of Spatio-Temporal Flows Using Differentiable Latent Dynamics
Learning Image Formation and Regularization in Unrolling AMP for Lensless Image Reconstruction
Color Filter Arrays for Quanta Image Sensors
Transfer Learning for Data Fusion for Electromagnetic and Ultrasound Breast Imaging
Multiresolution Cube Propagation for 3-D Ultrasound Image Reconstruction
A Single-Pixel Imaging Based Stereo Deflectometry for 3D Reconstruction of Free-Form Transparent Objects With Parasitic Reflections
Lightweight Deep Learning Architecture for MPI Correction and Transient Reconstruction
A Variational Method for Dejittering Large Fluorescence Line Scanner Images
Channel-Spatial Attention Guided CycleGAN for CBCT-Based Synthetic CT Generation to Enable Adaptive Radiotherapy
Fast Image Reconstruction in Forward-Looking GPR Using Dual ℓ 1 Regularization
Sharp Computational Images From Diffuse Beams: Factorization of the Discrete Delta Function
Looking Around Flatland: End-to-End 2D Real-Time NLOS Imaging
SeNAS-Net: Self-Supervised Noise and Artifact Suppression Network for Material Decomposition in Spectral CT
Projected Multi-Agent Consensus Equilibrium (PMACE) With Application to Ptychography
AIVUS: Guidewire Artifacts Inpainting for Intravascular Ultrasound Imaging With United Spatiotemporal Aggregation Learning
Self-Distilled Depth From Single-Shot Structured Light With Intensity Reconstruction
Gaussian Is All You Need: A Unified Framework for Solving Inverse Problems via Diffusion Posterior Sampling
Scene Flow Estimation From Sparse Light Fields Using a Local 4D Affine Model
Hyperspectral Unmixing Via Turbo Bilinear Approximate Message Passing
Generalized Ray Tracing With Basis Functions for Tomographic Projections
A General Framework for Compressed Sensing and Parallel MRI Using Annihilating Filter Based Low-Rank Hankel Matrix
High-Throughput Decomposition-Inspired Deep Unfolding Network for Image Compressed Sensing
Deep Residual Architecture Using Pixel and Feature Cues for View Synthesis and Temporal Interpolation
Simultaneous Projector-Camera Self-Calibration for Three-Dimensional Reconstruction and Projection Mapping
Learning Light Field Denoising With Symmetrical Refocusing Strategy
Deep Expectation-Maximization for Single-Pixel Image Reconstruction With Signal-Dependent Noise
Convergent Complex Quasi-Newton Proximal Methods for Gradient-Driven Denoisers in Compressed Sensing MRI Reconstruction
Electromagnetic Imaging of Damages in Fibered Layered Laminates via Equivalence Theory
Data-Driven Models for the Spatio-Temporal Interpolation of Satellite-Derived SST Fields
Parameter Estimation of Ground Moving Targets Based on SKT-DLVT Processing
Three-Dimensional Optical Diffraction Tomography With Lippmann-Schwinger Model
Quantitative Phase and Absorption Contrast Imaging
Spatially Varying Exposure With 2-by-2 Multiplexing: Optimality and Universality
Local-Global Dynamic Filtering Network for Video Super-Resolution
Provable Preconditioned Plug-and-Play Approach for Compressed Sensing MRI Reconstruction
3D Imaging Method Based on Digital Coding Metasurface With Unknown Mutual Coupling
Application of Subspace-Based Distorted-Born Iteration Method in Imaging Biaxial Anisotropic Scatterer
Compressive Sampling Using a Pushframe Camera
Noise2Inverse: Self-Supervised Deep Convolutional Denoising for Tomography
Fast Steerable Principal Component Analysis
Automated Regularization Parameter Selection Using Continuation Based Proximal Method for Compressed Sensing MRI
Imaging and Parameter Estimating for Fast Moving Targets in Airborne SAR
Joint Learning of Measurement Matrix and Signal Reconstruction via Deep Learning
3D Location and Trajectory Reconstruction of a Moving Object Behind Scattering Media
Deconvolution and Restoration of Optical Endomicroscopy Images
Densely Connected Convolutional Neural Network-Based Invalid Data Compensation for Brain Electrical Impedance Tomography
Neumann Networks for Linear Inverse Problems in Imaging
Guided Nonlocal Patch Regularization and Efficient Filtering-Based Inversion for Multiband Fusion
Spectral Reflectance Recovery From a Single RGB Image
Expectation-Maximization Based Approach to 3D Reconstruction From Single-Waveform Multispectral Lidar Data
A Microwave Time Reversal Algorithm for Imaging Extended Defects in Dielectric Composites
Distributed Optimization for Nonrigid Nano-Tomography
Unsupervised Data Driven Feature Extraction by Means of Mutual Information Maximization
Fast Unmixing and Change Detection in Multitemporal Hyperspectral Data
Monotone FISTA With Variable Acceleration for Compressed Sensing Magnetic Resonance Imaging
Introducing Nonuniform Sparse Proximal Averaging Network for Seismic Reflectivity Inversion
Inferring Objects From Lensless Imaging Measurements
Microwave Breast Imaging Using a Dry Setup
Side Information-Assisted Low-Dose CT Reconstruction
ProxNF: Neural Field Proximal Training for High-Resolution 4D Dynamic Image Reconstruction
Single-Frame MIMO Radar Velocity Vector Estimation via Multi-Bounce Scattering
Reconstructing Clear Image for High-Speed Motion Scene With a Retina-Inspired Spike Camera
Learning to Reconstruct Confocal Microscopy Stacks From Single Light Field Images
Mosaic Convolution-Attention Network for Demosaicing Multispectral Filter Array Images
Towards Robust and Generalizable Lensless Imaging With Modular Learned Reconstruction
Performance Analysis of Plug-and-Play ADMM: A Graph Signal Processing Perspective
Semi-Analytical Super-Resolution X-Space Reconstruction for Magnetic Particle Imaging Scanner via Adaptive Kernel Optimization
Single-Pass Object-Adaptive Data Undersampling and Reconstruction for MRI
An Efficient FPGA-Based Parallel Phase Unwrapping Hardware Architecture
Multi-Exposure Image Fusion by Optimizing A Structural Similarity Index
Multispectral Compressive Imaging Strategies Using Fabry-Pérot Filtered Sensors
Computational Super-Sectioning for Single-Slice Structured-Illumination Microscopy
FPGA-Based Parallel Hardware Architecture for Real-Time Image Classification
Multi-Angular Epipolar Geometry Based Light Field Angular Reconstruction Network
LightingNet: An Integrated Learning Method for Low-Light Image Enhancement
Vignetting Correction Using an Optical Model and Constant Chromaticity Prior
Zero-Shot Image Denoising for High-Resolution Electron Microscopy
Attention-Based Progressive Discrimination Generative Adversarial Networks for Polarimetric Image Demosaicing
Conditional Injective Flows for Bayesian Imaging
High Temporal-Lateral Resolution Photoacoustic Microscopy Imaging With Dual Branch Graph Induced Fusion Network
A Time-Domain Multigrid Solver With Higher-Order Born Approximation for Full-Wave Radar Tomography of a Complex-Shaped Target
Blind Binocular Visual Quality Predictor Using Deep Fusion Network
Kernel Regression Imputation in Manifolds Via Bi-Linear Modeling: The Dynamic-MRI Case
A Novel Bound for Fourier Ring Correlation in Resolution Analysis
PALMNUT: An Enhanced Proximal Alternating Linearized Minimization Algorithm With Application to Separate Regularization of Magnitude and Phase
Memory-Efficient Learning for Large-Scale Computational Imaging
Sparse Blind Deconvolution for Distributed Radar Autofocus Imaging
Accelerated SPIRiT Parallel MR Image Reconstruction Based on Joint Sparsity and Sparsifying Transform Learning
Joint Translational Motion Compensation and High-Resolution ISAR Imaging Based on Sparse Bayesian Learning
Ultrasound Imaging of Bone Cortex Using Block-Based Reconstruction
Spatial Information Regularized Tensor Decomposition Framework for Super-Resolution Reconstruction of Medical MRI and Radiographs
Rapid Whole Slide Imaging via Dual-Shot Deep Autofocusing
Three-Dimensional Polarimetric InISAR Imaging of Non-Cooperative Targets
A Unifying First-Order Model for Light-Field Cameras: The Equivalent Camera Array
CalibFPA: A Focal Plane Array Imaging System Based on Online Deep-Learning Calibration
Multi-Frame RGB/NIR Imaging for Low-Light Color Image Super-Resolution
High-Resolution Multi-Spectral Imaging With Diffractive Lenses and Learned Reconstruction
A Bayesian Approach to Denoising of Single-Photon Binary Images
Orthogonal Coded Active Illumination for Millimeter Wave, Massive-MIMO Computational Imaging With Metasurface Antennas
Low-Rank Decomposition Based on Disjoint Component Analysis With Applications in Seismic Imaging
Nest-DGIL: Nesterov-Optimized Deep Geometric Incremental Learning for CS Image Reconstruction
A Fast Automatic Method for Deconvoluting Macro X-Ray Fluorescence Data Collected From Easel Paintings
Accelerated Microwave Tomographic Imaging With a PDE-Constrained Optimization Method
Low-Light Image Enhancement via Implicit Priors Regularized Illumination Optimization
Accelerated MRI With Un-Trained Neural Networks
Light Field Image Super-Resolution Network via Joint Spatial-Angular and Epipolar Information
High-fidelity View Synthesis for Light Field Imaging With Extended Pseudo 4DCNN
Efficient Regularized Field Map Estimation in 3D MRI
Optimal Model-Based 6-D Object Pose Estimation With Structured-Light Depth Sensors
Learning Generalized Mapping Functions via Deep-Unrolling for PET Image Reconstruction
Video Superresolution via Motion Compensation and Deep Residual Learning
Craniofacial Volumetric Image Estimation From a Lateral Cephalogram Using Cross-Dimensional Discrete Embedding Mapping
An Inverse-Problem Approach to the Estimation of Despeckled and Deconvolved Images From Radio-Frequency Signals in Pulse-Echo Ultrasound
Phase-Space Function Recovery for Moving Target Imaging in SAR by Convex Optimization
Region-Based Spectral-Spatial Mutual Induction Network for Hyperspectral Image Reconstruction
A Markovian network model for default risk management
A novel approach for identification and classification of verbs in Dogri language
Integration of a three-colour channel with the four diagonals of the GLCM approach for similar image retrieval
A hybrid framework for ranking reviewers based on interval type-2 fuzzy AHP and VIKOR
Deceptive web-review detection strategies: a survey
Dynamic strategies for measuring the performance of inventory system in closed loop supply chain
Covering rough set-based classification for cardiac arrhythmia
Intelligent multi-agent system for smart microgrid energy management
Weighing the role of multi-criteria communities for recommender systems
Segmentation free text recognition for overlapping characters using spectral features and bidirectional recurrent wavelet neural network
A fuzzy-enhanced recursive feature elimination for intrusion detection in WSN
Enhanced approach to cascade reconfiguration control design
Harmonics estimator design with Trigonometric function inspired Grey Wolf Optimiser
Nature inspired algorithms for transmission network expansion planning problems: a review
Anomaly detection and oversampling approach for classifying imbalanced data using CLUBS technique in IoT healthcare data
Economic load dispatch problem using spider monkey optimisation algorithm
An intelligent fuzzy and IoT-aware air quality prediction and monitoring system using CRF and Bi-LSTM
Binary encoding-based morpheme boundary detection of Dogri language
Securing multi-media transmission over mobile communication channels
SwinRelTR: an efficient single-stage scene graph generation model for low-resolution images
A multi-authorisation blockchain-based access control for cloud healthcare system
General study for energy recovery from used batteries using fuzzy logic and PI controllers
Issues on visual representation of hybrid home environments: survey of strategies and models
Anti-poverty policies analysis for rural households in Iran: a system dynamics approach
Fuzzy regional inequality measurement: a new stochastic dominance approach with application to Tunisia
Joint pricing and replenishment policies for group-buying auction
Knowledge driven sensor placement in multi-station manufacturing processes
Discovery of symbols in design
An iterative solution approach for steady state analysis of self-excited induction generator
Application of metaheuristic techniques in software quality prediction: a systematic mapping study
Whale optimisation algorithm-based controller design for reverse osmosis desalination plants
Multi-objective job shop scheduling problem with sequence dependent setup times using a novel metaheuristic
A survey on knowledge-based systems for ship design and ship operation
A multi-objective approach for micro grid energy management based on fuzzy multi-agent decision-making process
A system dynamics model to analyse economic challenges of apparel industry: the case study of Iran
Fully informed ABC algorithm for large scale job shop scheduling problem
Intelligence ensemble feature selection and ensemble classifier for cervical cancer diagnosis
Modelling for tensile strength of friction welded aluminium pipes by ANFIS
A survey on database intrusion detection: approaches, challenges and application
Analysis of enhanced complex SVR interpolation and SCG-based neural networks for LTE downlink system
Rough set-based meta-heuristic clustering approach for social e-learning systems
The Kushner-Stratonovich stochastic method for a master robot of a tele-robotic system: beyond extended Kalman filtering
Back propagation neural network-based energy efficient routing protocols for mobile ad-hoc networks
New optimal solutions for real-time scheduling of reconfigurable embedded systems based on neural networks with minimisation of power consumption
A ubiquitous recommender system based on collaborative filtering and social networking data
Optimising power distribution systems: solar-powered capacitors and cost reduction through meta-heuristic methods
A comparison of health informatics education in the USA
Multi-objective tunicate search optimisation algorithm for numerical problems
Secure task scheduling in cloud computing with enhanced ordinal optimisation and integrated DNA, Morse code techniques
Modified COVID-19 Indian and international dataset for automatic prediction of risk in an individual using machine learning models using a mobile APP
A new hybrid gravitational particle swarm optimisation-ACO with local search mechanism, PSOGSA-ACO-Ls for TSP
Artificial bee colony optimisation-based enhanced Mahalanobis Taguchi system for classification
Ensemble neural networks with fuzzy logic integration for complex time series prediction
Recognition of flowers using convolutional neural networks
Reinforcement learning based predictive analytics framework for survival in stock market
Knowledge-based evolving connectionist systems for condition evaluation of sustainable roadways: a feasibility study
A novel approach for similarity and indexing-based ontology for semantic web educational system
Human face gender identification using Thepade's sorted N-ary block truncation coding and machine learning classifiers
Evolutionary-based method for risk stratification of diabetic patients
An intelligent undersampling technique based upon intuitionistic fuzzy sets to alleviate class imbalance problem of classification with noisy environment
Recovery of a single link failure in all-optical networks based on the cuckoo search algorithm
A cloud-based optimal fuzzy clustering of distributed data
Classification and feature extraction of binucleate cells using Mahalanobis distance and Gabor wavelet analysis
Dental image segmentation for carrier detection using improved MLP-UNet model in dental X-ray images
An ensemble clustering method for intrusion detection
Study of meta-learning attempts to select algorithm for hard combinatorial optimisation problems
Electronic internal Hajj permit generation system workflow in KSA
MSalp-Epi: multi-objective salp optimisation for epistasis detection in genome-wide association studies
Spearman chimp optimisation algorithm feature selection and fuzzy weight long-short-term memory classifier for cyberbullying Twitter data
Fuzzy brain storming optimisation algorithm
An efficient approach for dynamic signature recognition
New weighted clustering ensemble based on external index and subspace attributes partitions for large features datasets
A reliable seamless handoff scheme based on enhanced MADM methods
Context parameters retrieval framework from electronic healthcare record through biomedical NLP for clinical support