yusuke1997/dblp-id-title huggingface dataset:
Reconstruction of Ultrasound RF Echoes Modeled as Stable Random Variables
Deep Unfolding Network for Spatiospectral Image Super-Resolution
Two-Dimensional Non-Line-of-Sight Scene Estimation From a Single Edge Occluder
Fixed-Point Convergence of Multi-Block PnP ADMM and Its Application to Hyperspectral Image Restoration
SparseAlign: A Grid-Free Algorithm for Automatic Marker Localization and Deformation Estimation in Cryo-Electron Tomography
Photoacoustic Reconstruction Using Sparsity in Curvelet Frame: Image Versus Data Domain
DDPTransformer: Dual-Domain With Parallel Transformer Network for Sparse View CT Image Reconstruction
Image Reconstruction Based on Fractional Tikhonov Framework for Planar Array Capacitance Sensor
ADMMNet-Based Deep Unrolling Method for Ghost Imaging
Non-Binary Discrete Tomography by Continuous Non-Convex Optimization
Simultaneous Temporal Superresolution and Denoising for Cardiac Fluorescence Microscopy
Compressive Spectral Imaging Via Virtual Side Information
Reconstruction Capabilities of Down-Looking Airborne GPRs: The Single Frequency Case
Efficient and Interpretable Deep Blind Image Deblurring Via Algorithm Unrolling
Attention-Guided Polarization Image Fusion Using Salient Information Distribution
Fast Enhanced CT Metal Artifact Reduction Using Data Domain Deep Learning
High Bit-Depth Image Acquisition Framework Using Embedded Quantization Bias
Automated FDK-Filter Selection for Cone-Beam CT in Research Environments
Physics-Based Deep Learning for Imaging Neuronal Activity via Two-Photon and Light Field Microscopy
Regularization by Denoising: Clarifications and New Interpretations
Snapshot Compressive Imaging Using Domain-Factorized Deep Video Prior
Joint Image and Depth Estimation With Mask-Based Lensless Cameras
dO: A Differentiable Engine for Deep Lens Design of Computational Imaging Systems
Direct Image Reconstruction of Lissajous-Type Magnetic Particle Imaging Data Using Chebyshev-Based Matrix Compression
Joint Estimation of Dictionary and Image from Compressive Samples
A Theoretical Framework for Self-Supervised MR Image Reconstruction Using Sub-Sampling via Variable Density Noisier2Noise
Autofocused Ptychographic Imaging Based on Mid-Frequency Discrete Cosine Transform
MAFDE-Net: Multipath Attention-Fusion-Based Dual-Encoder Network for Undersampled MRI Segmentation
A Parametric Level set Method for Imaging Multiphase Conductivity Using Electrical Impedance Tomography
Image Reconstruction for Limited-Angle Electron Beam X-Ray Computed Tomography With Energy-Integrating Detectors for Multiphase Flows
A Few Photons Among Many: Unmixing Signal and Noise for Photon-Efficient Active Imaging
Opto-Acoustic Image Reconstruction and Motion Tracking Using Convex Optimization
Compressive Holography From Poisson Noise Plagued Holograms Using Expectation-Maximization
Ptychography Using Blind Multi-Mode PMACE
Optimization for Blob-Based Image Reconstruction With Generalized Kaiser-Bessel Basis Functions
TAG-Splat: Two-Stage Anisotropic Gaussian Splatting for CL Reconstruction
Analysis of the Use of Unmatched Backward Operators in Iterative Image Reconstruction With Application to Three-Dimensional Optoacoustic Tomography
Colored Coded Aperture Design in Compressive Spectral Imaging via Minimum Coherence
Generating Synthetic 4DCT From 4DCBCT for Lung Tumor Adaptive Photon and Proton Therapy Using a Unet Attention-Guided CycleGAN With Structure-Consistency Loss
Scene Estimation From a Swiped Image
Robust Linear Spectral Unmixing Using Anomaly Detection
Through-the-Wall Radar Imaging Based on Bayesian Compressive Sensing Exploiting Multipath and Target Structure
A Comparison of Time-Domain and Frequency-Domain Microwave Imaging of Experimental Targets
Energy-Coded Spectral CT Imaging Method Based on Projection Mix Separation
Hierarchical Edge Refinement Network for Guided Depth Map Super-Resolution
Unsupervised Algorithm for Brain Anomalies Localization in Electromagnetic Imaging
MD-GraphFormer: A Model-Driven Graph Transformer for Fast Multi-Contrast MR Imaging
Multiple-Input-Multiple-Output (MIMO) MRI: Combining Parallel Excitation and Parallel Reception for Enhanced Imaging
A Framework for Dynamic Image Sampling Based on Supervised Learning
Video Super-Resolution With Convolutional Neural Networks
Holographic 3D Particle Imaging With Model-Based Deep Network
Autoregression and Structured Low-Rank Modeling of Sinogram Neighborhoods
Model-Based Multiscale Gigapixel Image Formation Pipeline on GPU
SMFuse: Multi-Focus Image Fusion Via Self-Supervised Mask-Optimization
A Geometric Model to Characterize Annihilation Positions Associated With Scattered Coincidences in PET: A Simulation-Based Study
Blind Motion Deblurring With Pixel-Wise Kernel Estimation via Kernel Prediction Networks
High-Fidelity Holographic Reconstruction via Physics-Aware Heterogeneous Self-Supervised Learning
Photon Limited Non-Blind Deblurring Using Algorithm Unrolling
Spline Sketches: An Efficient Approach for Photon Counting Lidar
A Study on Establishing a Dynamic Color Schlieren System to Observe Airflow and Predict Temperature Changes
Computational Efficient Refocusing and Estimation Method for Radar Moving Target With Unknown Time Information
Exposure-Referred Signal-to-Noise Ratio for Digital Image Sensors
Laser Protection via Jointly Learned Defocus and Image Reconstruction
Depth Estimation and Image Restoration by Deep Learning From Defocused Images
Frequency-Spatial Domain Feature Fusion for Spectral Super-Resolution
Fast Low Rank Column-Wise Compressive Sensing for Accelerated Dynamic MRI
FgC2F-UDiff: Frequency-Guided and Coarse-to-Fine Unified Diffusion Model for Multi-Modality Missing MRI Synthesis
RLNet: Reshaping Learning Network for Accurate Low-Light Light Field Image Enhancement
Multi-Mask Camera Model for Compressed Acquisition of Light Fields
Enhancing MRF Reconstruction: A Model-Based Deep Learning Approach Leveraging Learned Sparsity and Physics Priors
Multi-Resolution Compressed Sensing Reconstruction Via Approximate Message Passing
Microwave Imaging With Novel Time-Domain Clutter Removal Algorithm Using High Gain Antennas for Concealed Object Detections
Dual-Feature Frequency Component Compression Method for Accelerating Reconstruction in Magnetic Particle Imaging
A Unified Learning-Based Framework for Light Field Reconstruction From Coded Projections
Robust Spectral Unmixing of Sparse Multispectral Lidar Waveforms Using Gamma Markov Random Fields
Non-Linear Inverse Scattering via Sparsity Regularized Contrast Source Inversion
SAR Scene Size Limits for Spatially Invariant Defocus With Near- and Far-Field Geometries
Improved Sparse Signal Recovery via Adaptive Correlated Noise Model
Improving Spectral CT Image Quality Based on Channel Correlation and Self-Supervised Learning
Fourier-Domain Inversion for the Modulo Radon Transform
The Secrets of Non-Blind Poisson Deconvolution
What Does a One-Bit Quanta Image Sensor Offer?
Interactive Fault Extraction in 3-D Seismic Data Using the Hough Transform and Tracking Vectors
Contrast Saliency Information Guided Infrared and Visible Image Fusion
A Point Constrained Boundary Reconstruction Framework for Ultrasound Guided Electrical Impedance Tomography
Robust Fusion of Multiband Images With Different Spatial and Spectral Resolutions for Change Detection
Differentiable Deflectometric Eye Tracking
Robust Frequency Domain Full-Waveform Inversion via HV-Geometry
Article Awards for the IEEE Transactions on Computational Imaging
CryoGAN: A New Reconstruction Paradigm for Single-Particle Cryo-EM Via Deep Adversarial Learning
Dynamic Scene Reconstruction for Color Spike Camera via Zero-Shot Learning
Inverse Multislice Ptychography by Layer-Wise Optimisation and Sparse Matrix Decomposition
HoloFormer: Contrastive Regularization Based Transformer for Holographic Image Reconstruction
Deep Learning Approach for Dynamic Sampling for Multichannel Mass Spectrometry Imaging
CAS: Correlation Adaptive Sparse Modeling for Image Denoising
A Fast Tensor Completion Method Based on Tensor QR Decomposition and Tensor Nuclear Norm Minimization
DER-GAN: Dual-Energy Recovery GAN for Conebeam CT
A Bayesian Hyperprior Approach for Joint Image Denoising and Interpolation, With an Application to HDR Imaging
3-D Level Set Method for Joint Contrast and Shape Recovery in Microwave Imaging
Robust Photometric Stereo via Dictionary Learning
A Reliable Deep Learning Scheme for Nonlinear Reconstructions in Electrical Impedance Tomography
A Vignetting Model for Light Field Cameras With an Application to Light Field Microscopy
Vignetting Correction Based on a Two-Dimensional Gaussian Filter With Harmony for Area Array Sensors
Vignetting Correction Through Color-Intensity Map Entropy Optimization
Deep Manifold Learning for Dynamic MR Imaging
CNF+CT: Context Network Fusion of Cascade-Trained Convolutional Neural Networks for Image Super-Resolution
Robust Bayesian Target Detection Algorithm for Depth Imaging From Sparse Single-Photon Data
Annealed Score-Based Diffusion Model for MR Motion Artifact Reduction
Improved Integral Transform Method Based on Gaussian Kernel for Image Reconstruction
Video-SAR Imaging of Dynamic Scenes Using Low-Rank and Sparse Decomposition
Field Curvature Correction Using Focal Sweep
AdaIN-Based Tunable CycleGAN for Efficient Unsupervised Low-Dose CT Denoising
Adapting the Learning Models of Single Image Super-Resolution Into Light-Field Imaging
A GPU-Accelerated Multivoxel Update Scheme for Iterative Coordinate Descent (ICD) Optimization in Statistical Iterative CT Reconstruction (SIR)
Recovery of Conformational Continuum From Single-Particle Cryo-EM Images: Optimization of ManifoldEM Informed by Ground Truth
Towards Robustness and Efficiency of Coherence-Guided Complex Convolutional Sparse Coding for Interferometric Phase Restoration
Image Denoising for Low-Dose CT via Convolutional Dictionary Learning and Neural Network
Deep Equilibrium Architectures for Inverse Problems in Imaging
SRInpaintor: When Super-Resolution Meets Transformer for Image Inpainting
Solving Phaseless Highly Nonlinear Inverse Scattering Problems With Contraction Integral Equation for Inversion
Fast Retinomorphic Event-Driven Representations for Video Gameplay and Action Recognition
Guest Editorial Special Issue on Extreme Imaging
AS-Net: Fast Photoacoustic Reconstruction With Multi-Feature Fusion From Sparse Data
Closing the Gap of Simulation to Reality in Electromagnetic Imaging of Brain Strokes via Deep Neural Networks
Subspace Aware Recovery of Low Rank and Jointly Sparse Signals
Computational Oblique Illumination Microscopy With Isotropic High Resolution
High-Speed Time-Domain Diffuse Optical Tomography With a Sensitivity Equation-Based Neural Network
Low-Rank Decomposition and Polarization-Driven Transmittance Synergy for Underwater Descattering With Cross-Domain Generalization
A Quantum Denoising-Based Resolution Enhancement Framework for 250-MHz and 500-MHz Quantitative Acoustic Microscopy
Light Field Reconstruction Using Efficient Pseudo 4D Epipolar-Aware Structure
PINQI: An End-to-End Physics-Informed Approach to Learned Quantitative MRI Reconstruction
Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging Problems
Deep Network Cascade for Dynamic Cardiac MRI Reconstruction With Motion Feature Incorporation and the Fourier Neural Attention
Sparse-View Cone Beam CT Reconstruction Using Data-Consistent Supervised and Adversarial Learning From Scarce Training Data
Multi-Scale Learned Iterative Reconstruction
Dynamic Analysis of Spin Satellites Through the Quadratic Phase Estimation in Multiple-Station Radar Images
Ultrasonic Imaging Through Aberrating Layers Using Covariance Matching
On the Superresolution Capacity of Imagers Using Unknown Speckle Illuminations
Low Rank Plus Sparse Decomposition of Synthetic Aperture Radar Data for Target Imaging
Statistical Stability of Correlation Based Imaging Algorithms
Beyond Binomial and Negative Binomial: Adaptation in Bernoulli Parameter Estimation
An Efficient Method for Modelling Millimeter-Wave Scan for Security Screening of Humans
Coherent Plug-and-Play: Digital Holographic Imaging Through Atmospheric Turbulence Using Model-Based Iterative Reconstruction and Convolutional Neural Networks
Improved Tumor Detection via Quantitative Microwave Breast Imaging Using Eigenfunction-Based Prior
M 3 Depth: Wavelet-Enhanced Depth Estimation on Mars via Mutual Boosting of Dual-Modal Data
A Unifying Approach to Inverse Problems of Ultrasound Beamforming and Deconvolution
Single-Shot Tomography of Discrete Dynamic Objects
Deep Learned Non-Linear Propagation Model Regularizer for Compressive Spectral Imaging
Convolutional Dictionary Learning: A Comparative Review and New Algorithms
Towards Reducing Severe Defocus Spread Effects for Multi-Focus Image Fusion via an Optimization Based Strategy
Generating High-Resolution Image and Depth Map Using a Camera Array With Mixed Focal Lengths
Interpretable Deep Attention Prior for Image Restoration and Enhancement
Multispectral and Hyperspectral Image Fusion With Spectrally Varying Blurs and MM Algorithm
Electromagnetic Field Imaging in Arbitrary Scattering Environments
Analytic Inversion of a Radon Transform on Double Circular Arcs With Applications in Compton Scattering Tomography
Unified Image Fusion Framework With Learning-Based Application-Adaptive Importance Measure
Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery
Guided Depth Inpainting in ToF Image Sensing Based on Near Infrared Information
Full Matrix Wavefield Migration for Layered Photoacoustic Imaging
SPECIAL: Single-Shot Projection Error Correction Integrated Adversarial Learning for Limited-Angle CT
Compressive Spectral Imaging Based on Hexagonal Blue Noise Coded Apertures
Recurrent Cross-Modality Fusion for Time-of-Flight Depth Denoising
Adaptive and Progressive Multispectral Image Demosaicking
TransCut2: Transparent Object Segmentation From a Light-Field Image
GroupCDL: Interpretable Denoising and Compressed Sensing MRI via Learned Group-Sparsity and Circulant Attention
Super-Resolution in Low Dose X-ray CT via Focal Spot Mitigation With Generative Diffusion Networks
Hyperspectral and Multispectral Image Fusion Under Spectrally Varying Spatial Blurs - Application to High Dimensional Infrared Astronomical Imaging
A Convex Reconstruction Model for X-Ray Tomographic Imaging With Uncertain Flat-Fields
Online Target Recognition for Time-Sensitive Space Information Networks
Light Field Angular Super-Resolution Network Based on Convolutional Transformer and Deep Deblurring
DTDeMo: A Deep Learning-Based Two-Stage Image Demosaicing Model With Interpolation and Enhancement
Combining Inertial Measurements With Blind Image Deblurring Using Distance Transform
Reconstruction of Partially Sampled Multiband Images - Application to STEM-EELS Imaging
Numerical Inversion of a Broken Ray Transform Arising in Single Scattering Optical Tomography
Missing Cone Artifact Removal in ODT Using Unsupervised Deep Learning in the Projection Domain
Analysis of Deep Image Prior and Exploiting Self-Guidance for Image Reconstruction
CMEFusion: Cross-Modal Enhancement and Fusion of FIR and Visible Images
Locally-Rank-One-Based Joint Unmixing and Demosaicing Methods for Snapshot Spectral Images. Part II: A Filtering-Based Framework
Differentiable Uncalibrated Imaging
Generalized Phase Gradient Autofocus Using Semidefinite Relaxation Phase Estimation
Dual Bidirectional Feature Enhancement Network for Continuous Space-Time Video Super-Resolution
Multi-Layered Surface Estimation for Low-Cost Optical Coherence Tomography
Noise-Disentangled Single-Pixel Imaging Under Photon-Limited Conditions
Efficient, Convergent SENSE MRI Reconstruction for Nonperiodic Boundary Conditions via Tridiagonal Solvers
A Sequential Block-Structured Dictionary Learning Algorithm for Block Sparse Representations
Phase-Based Alignment and Improved Projection Matching of Parallel Beam Tomography Data
Memory-Efficient Model-Based Deep Learning With Convergence and Robustness Guarantees
Distilling Knowledge for Designing Computational Imaging Systems
Imaging Algorithm for Inverse Synthetic Aperture Radar in Condition of Non-Uniform Data Rate
A Transformer-Based Architecture for High-Resolution Stereo Matching
Fast Adaptive Plug-and-Play ADMM Framework for Short-Range 3-D SAR Imaging
Evaluation of Balanced Ultrasound Breast Imaging Under Three Density Profile Assumptions
Diff-Holo: A Residual Diffusion Model With Complex Transformer for Rapid Single-Frame Hologram Reconstruction
Fast Pixelated Lithographic Source and Mask Joint Optimization Based on Compressive Sensing
Breast Ultrasound Elastography Using Full Inversion-Based Elastic Modulus Reconstruction
GAPMSF-Net: Generalized Alternating Projection With Multi-Stage Fusion Network for Snapshot Compressive Imaging
Synthetic Aperature LADAR: A Model-Based Approach
Estimation-Denoising Integration Network Architecture With Updated Parameter for MRI Reconstruction
Multi-Slice Knowledge-Driven System Matrix Calibration in Magnetic Particle Imaging
The Practicality of Stochastic Optimization in Imaging Inverse Problems
CSA-FCN: Channel- and Spatial-Gated Attention Mechanism Based Fully Complex-Valued Neural Network for System Matrix Calibration in Magnetic Particle Imaging
DALM, Deformable Attenuation-Labeled Mesh for Tomographic Reconstruction and Segmentation
One-Bit Radar Imaging Via Adaptive Binary Iterative Hard Thresholding
Enhanced Single Pixel Imaging by Using Adaptive Jointly Optimized Conditional Diffusion
Error-Splitting Forward Model for Iterative Reconstruction in X-Ray Computed Tomography and Application With Gauss-Markov-Potts Prior
Fast Single-Image Super-Resolution Via Tangent Space Learning of High-Resolution-Patch Manifold
Deep Amended Gradient Descent for Efficient Spectral Reconstruction From Single RGB Images
Acoustic Wave Field Reconstruction From Compressed Measurements With Application in Photoacoustic Tomography
Coded Aperture Optimization in X-Ray Tomography via Sparse Principal Component Analysis
CD-Net: Comprehensive Domain Network With Spectral Complementary for DECT Sparse-View Reconstruction
Exploiting Occlusion in Non-Line-of-Sight Active Imaging
Removing Reflection From a Single Image With Ghosting Effect
Denoising Particle Beam Micrographs With Plug-and-Play Methods
Effects of Simulated Error-Sources on Different 3-D CSI-EPT Strategies
An Image Rendering Pipeline for Focused Plenoptic Cameras
Truncated Residual Based Plug-and-Play ADMM Algorithm for MRI Reconstruction
Toward Long-Distance Subdiffraction Imaging Using Coherent Camera Arrays
Keyhole Imaging: Non-Line-of-Sight Imaging and Tracking of Moving Objects Along a Single Optical Path
Saliency Map Generation by the Convolutional Neural Network for Real-Time Traffic Light Detection Using Template Matching
Single-Pixel Compressive Terahertz 3D Imaging
Convolutional Neural Networks for Noniterative Reconstruction of Compressively Sensed Images
Photon-Limited Blind Deconvolution Using Unsupervised Iterative Kernel Estimation
Frequency Estimation of the Plenoptic Function Using the Autocorrelation Theorem
A Physics-Inspired Deep Learning Framework With Polar Coordinate Attention for Ptychographic Imaging
Iterative Collaboration Network Guided by Reconstruction Prior for Medical Image Super-Resolution
The Marginal Importance of Known Distortions and Alignment in CASSI Systems
Micro-Lens Image Stack Upsampling for Densely-Sampled Light Field Reconstruction
Generative AI Enables Synthesizing Cross-Modality Brain Image via Multi-Level-Latent Representation Learning
DROLL: Dual-Domain Reconstruction Network With a High-Fidelity Domain-Transform Operator Based on Learned Low-Rank Prior for Sparse-View CT Reconstruction
Effect of Pixelation on the Parameter Estimation of Single Molecule Trajectories
Superpixel Guided Network for Three-Dimensional Stereo Matching
PACformer: A Multi-Stage Heterogeneous Convolutional-Vision Transformer for Sparse-View Photoacoustic Tomography Restoration
Efficient $\ell ^0$ Gradient-Based Super-Resolution for Simplified Image Segmentation
Alternating Dual Updates Algorithm for X-ray CT Reconstruction on the GPU
Reprojection Alignment for Trajectory Perturbation Estimation in Microtomography
WNet: A Data-Driven Dual-Domain Denoising Model for Sparse-View Computed Tomography With a Trainable Reconstruction Layer
PGIUN: Physics-Guided Implicit Unrolling Network for Accelerated MRI
Refocusing and Motion Parameter Estimation for Ground Moving Targets Based on Improved Axis Rotation-Time Reversal Transform
Hybrid Spatial and Frequency Network for Light Field Image Restoration
Blind Image Watermark Detection Algorithm Based on Discrete Shearlet Transform Using Statistical Decision Theory
DDFSRM: Denoising Diffusion Fusion Model for Line-Scanning Super-Resolution
Joint Reconstruction and Spatial Super-Resolution of Hyper-Spectral CTIS Images via Multi-Scale Refinement
SVRNet: First Investigation of Single-View Reconstruction Network for Fluorescence Molecular Tomography
An FPGA-Based Autofocusing Hardware Architecture for Digital Holography
Beyond Camera Motion Blur Removing: How to Handle Outliers in Deblurring
Learn Stable MRI Under-Sampling Pattern With Decoupled Sampling Preference
A Novel Tomographic Reconstruction Method Based on the Robust Student's t Function For Suppressing Data Outliers
Handheld Reflectance Acquisition of Paintings
Deep Light Field Acquisition Using Learned Coded Mask Distributions for Color Filter Array Sensors
A Convex Formulation for Binary Tomography
Deep Hyperspectral Image Fusion Network With Iterative Spatio-Spectral Regularization
Image Reconstruction of Static and Dynamic Scenes Through Anisoplanatic Turbulence
DANG: Data Augmentation Based on NIR-II Guided Diffusion Model for Fluorescence Molecular Tomography
Scalable Image Compressed Sensing With Generator Networks
Plug-and-Play Synthetic Aperture Radar Image Formation Using Deep Priors
Blind Image Deconvolution Using Deep Generative Priors
Fast ISAR Imaging Algorithm for Azimuth Gapped Data Based on Structured Toeplitz Matrix
A Variational Bayesian Approach for Image Restoration - Application to Image Deblurring With Poisson-Gaussian Noise
Distributed Iterative CT Reconstruction Using Multi-Agent Consensus Equilibrium
Plug-and-Play Regularization on Magnitude With Deep Priors for 3D Near-Field MIMO Imaging
Fast Non-Line-of-Sight Imaging With Hybrid Super-Resolution Network Over 18 m
Color-Line Regularization for Color Artifact Removal
Towards Single-Lens Controllable Depth-of-Field Imaging via Depth-Aware Point Spread Functions
SFTNet: Strip Fourier Transform Network for Motion Deblurring
Snapshot Coherence Tomographic Imaging
Gradient-Based Source Mask Optimization for Extreme Ultraviolet Lithography
Sparsity Promoting Adaptive Regularization for Compressed Sensing Parallel MRI
Joint Demosaicing and Fusion of Multiresolution Coded Acquisitions: A Unified Image Formation and Reconstruction Method
On Acoustic Signal Compression for Ultrasonic Borehole Imaging
AIFNet: All-in-Focus Image Restoration Network Using a Light Field-Based Dataset
Soft Autoencoder and Its Wavelet Adaptation Interpretation
A Deep Recurrent Neural Network With FISTA Optimization for CT Metal Artifact Reduction
Classification Saliency-Based Rule for Visible and Infrared Image Fusion
INF 3 : Implicit Neural Feature Fusion Function for Multispectral and Hyperspectral Image Fusion
Enhanced ISAR Imaging and Motion Estimation With Parametric and Dynamic Sparse Bayesian Learning
Boosting Light Field Spatial Super-Resolution via Masked Light Field Modeling
Progressive Self-Supervised Learning for CASSI Computational Spectral Cameras
First-Order Induced Current Density Imaging and Electrical Properties Tomography in MRI
Manifold Recovery Using Kernel Low-Rank Regularization: Application to Dynamic Imaging
Annular Computational Imaging: Capture Clear Panoramic Images Through Simple Lens
Object Depth Profile and Reflectivity Restoration From Sparse Single-Photon Data Acquired in Underwater Environments
Mixture of Gaussian Blur Kernel Representation for Blind Image Restoration
SRNSSI: A Deep Light-Weight Network for Single Image Super Resolution Using Spatial and Spectral Information
XCloud-VIP: Virtual Peak Enables Highly Accelerated NMR Spectroscopy and Faithful Quantitative Measures