yusuke1997/dblp-id-title huggingface dataset:
SDT: Cutting Datacenter Tax Through Simultaneous Data-Delivery Threads
Architecture Independent Characterization of Embedded Java Workloads
GPU-Centric Memory Tiering for LLM Serving With NVIDIA Grace Hopper Superchip
Leveraging Unused Cache Block Words to Reduce Power in CMP Interconnect
Profiling Support for Runtime Managed Code: Next Generation Performance Monitoring Units
Kobold: Simplified Cache Coherence for Cache-Attached Accelerators
BayesTuner: Leveraging Bayesian Optimization For DNN Inference Configuration Selection
Adaptive Cache and Concurrency Allocation on GPGPUs
Reimagining RDMA Through the Lens of ML
An Address Transformation Combining Block- and Word-Interleaving
On the Energy-Efficiency of Byte-Addressable Non-Volatile Memory
Understanding the Performance Behaviors of End-to-End Protein Design Pipelines on GPUs
Cryogenic PIM: Challenges & Opportunities
Pulley: An Algorithm/Hardware Co-Optimization for In-Memory Sorting
Quantum Assertion Scheme for Assuring Qudit Robustness
Asymmetric Resilience for Accelerator-Rich Systems
Multicore Model from Abstract Single Core Inputs
Studying Inter-Warp Divergence Aware Execution on GPUs
Heuristics for Thread-Level Speculation in Web Applications
On Reusing the Results of Pre-Executed Instructions in a Runahead Execution Processor
Topology optimization of interconnection networks
Checkflow: Low-Overhead Checkpointing for Deep Learning Training
The Need for Power Debugging in the Multi-Core Environment
Dynamic Resource Sharing for High-Performance 3-D Networks-on-Chip
GreenRouter: Reducing Power by Innovating Router's Architecture
Stream-Based Trace Compression
Enhancing DNN Training Efficiency Via Dynamic Asymmetric Architecture
The Mirage of Breaking MIRAGE: Analyzing the Modeling Pitfalls in Emerging "Attacks" on MIRAGE
A Predictive Shutdown Technique for GPU Shader Processors
Chameleon: A High Performance Flash/FRAM Hybrid Solid State Disk Architecture
Buffer and Delay Bounds in High Radix Interconnection Networks
A Quantitative Analysis of State Space Model-Based Large Language Model: Study of Hungry Hungry Hippos
Using Tag-Match Comparators for Detecting Soft Errors
A Page-based Hybrid (Software-Hardware) Dynamic Memory Allocator
Pyramid: Accelerating LLM Inference With Cross-Level Processing-in-Memory
NearZero: An Integration of Phase Change Memory with Multi-Core Coprocessor
LT-PIM: An LUT-Based Processing-in-DRAM Architecture With RowHammer Self-Tracking
Exploiting Intrinsic Redundancies in Dynamic Graph Neural Networks for Processing Efficiency
Leveraging Non-Volatile Storage to Achieve Versatile Cache Optimizations
Enhancing the Reach and Reliability of Quantum Annealers by Pruning Longer Chains
A New Worst-Case Throughput Bound for Oblivious Routing in Odd Radix Mesh Network
Mitigating Timing-Based NoC Side-Channel Attacks With LLC Remapping
Prefetching in Embedded Mobile Systems Can Be Energy-Efficient
Guiding Locality Optimizations for Graph Computations via Reuse Distance Analysis
Dramaton: A Near-DRAM Accelerator for Large Number Theoretic Transforms
Boomerang: Reducing Power Consumption of Response Packets in NoCs with Minimal Performance Impact
Mth: Codesigned Hardware/Software Support for Fine Grain Threads
A Case for Speculative Strength Reduction
ARCE: Towards Code Pointer Integrity on Embedded Processors Using Architecture-Assisted Run-Time Metadata Management
RTSim: A Cycle-Accurate Simulator for Racetrack Memories
Are Crossbar Memories Secure? New Security Vulnerabilities in Crossbar Memories
Adopting system call based address translation into user-level communication
Fractal Consistency: Architecting the Memory System to Facilitate Verification
Characterization and Analysis of Text-to-Image Diffusion Models
Resistive Associative Processor
ONNXim: A Fast, Cycle-Level Multi-Core NPU Simulator
Characterization and Analysis of the 3D Gaussian Splatting Rendering Pipeline
Generalized MultiAmdahl: Optimization of Heterogeneous Multi-Accelerator SoC
Proactive Use of Shared L3 Caches to Enhance Cache Communications in Multi-Core Processors
Adaptive Wear-Leveling in Flash-Based Memory
Code Layout Optimization for Near-Ideal Instruction Cache
CasHMC: A Cycle-Accurate Simulator for Hybrid Memory Cube
Characterizing Machine Learning-Based Runtime Prefetcher Selection
The Architectural Implications of Cloud Microservices
An XML-Based ADL Framework for Automatic Generation of Multithreaded Computer Architecture Simulators
Mitigating Memory-Induced Dark Silicon in Many-Accelerator Architectures
Neda: Supporting Direct Inter-Core Neighbor Data Exchange in GPUs
QuArch: A Question-Answering Dataset for AI Agents in Computer Architecture
MTB-Fetch: Multithreading Aware Hardware Prefetching for Chip Multiprocessors
Modeling Periodic Energy-Harvesting Computing Systems
Cache Hierarchy Optimization
A Scalable and Efficient In-Memory Interconnect Architecture for Automata Processing
Clumsy Flow Control for High-Throughput Bufferless On-Chip Networks
Accelerating Vector Permutation Instruction Execution via Controllable Bitonic Network
Many-Core vs. Many-Thread Machines: Stay Away From the Valley
A Graph-Based Program Representation for Analyzing Hardware Specialization Approaches
HPN-SpGEMM: Hybrid PIM-NMP for SpGEMM
Tackling Performance Variability Due to RAS Mechanisms with PID-Controlled DVFS
Mind The Power Holes: Sifting Operating Points in Power-Limited Heterogeneous Multicores
EZ-Pass: An Energy & Performance-Efficient Power-Gating Router Architecture for Scalable NoCs
Diversity: A Design Goal for Heterogeneous Processors
The Danger of Interval-Based Power Efficiency Metrics: When Worst Is Best
Weighted Random Routing on Torus Networks
Counter Advance for Reliable Encryption in Phase Change Memory
Harnessing Pairwise-Correlating Data Prefetching With Runahead Metadata
CABANA : Cluster-Aware Query Batching for Accelerating Billion-Scale ANNS With Intel AMX
Guessing Outputs of Dynamically Pruned CNNs Using Memory Access Patterns
Architectural Support for Mitigating Row Hammering in DRAM Memories
Multi-Prediction Compression: An Efficient and Scalable Memory Compression Framework for GP-GPU
Cool-Fetch: Compiler-Enabled Power-Aware Fetch Throttling
HiLITE: Hierarchical and Lightweight Imitation Learning for Power Management of Embedded SoCs
On Internally Tagged Instruction Set Architectures
Editorial: Letter from the Editor-in-Chief
Massively Parallel Server Processors
Aging-Aware Context Switching in Multicore Processors Based on Workload Classification
HAMMER: Hardware-Friendly Approximate Computing for Self-Attention With Mean-Redistribution And Linearization
Accelerating Programmable Bootstrapping Targeting Contemporary GPU Microarchitecture
FastDrain: Removing Page Victimization Overheads in NVMe Storage Stack
AligneR: A Process-in-Memory Architecture for Short Read Alignment in ReRAMs
Hardware Enforced Statistical Privacy
SAFE: Sharing-Aware Prefetching for Efficient GPU Memory Management With Unified Virtual Memory
Toward Practical 128-Bit General Purpose Microarchitectures
Hy-Sched: A Simple Hyperthreading-Aware Thread to Core Allocation Strategy
Physical Register Reference Counting
Compiler-Assisted, Selective Out-Of-Order Commit
Instruction Criticality Based Energy-Efficient Hardware Data Prefetching
GCStack: A GPU Cycle Accounting Mechanism for Providing Accurate Insight Into GPU Performance
Canal: A Flexible Interconnect Generator for Coarse-Grained Reconfigurable Arrays
A Sufficient Condition for Deadlock-Free Adaptive Routing in Mesh Networks
Sensing CPU Voltage Noise Through Electromagnetic Emanations
Cooperative Memory Deduplication With Intel Data Streaming Accelerator
Exploiting Webpage Characteristics for Energy-Efficient Mobile Web Browsing
LSim: Fine-Grained Simulation Framework for Large-Scale Performance Evaluation
An Area Efficient Architecture of a Novel Chaotic System for High Randomness Security in e-Health
NNBench-X: Benchmarking and Understanding Neural Network Workloads for Accelerator Designs
Characterizing and Understanding HGNNs on GPUs
Exploiting Intel Advanced Matrix Extensions (AMX) for Large Language Model Inference
Heterogeneity-Aware Scheduling on SoCs for Autonomous Vehicles
Advancing Compilation of DNNs for FPGAs Using Operation Set Architectures
Cache-aware Roofline model: Upgrading the loft
A Case for In-Memory Random Scatter-Gather for Fast Graph Processing
The Architectural Sustainability Indicator
TURBULENCE: Complexity-Effective Out-of-Order Execution on GPU With Distance-Based ISA
LazyPIM: An Efficient Cache Coherence Mechanism for Processing-in-Memory
Cyclic Power-Gating as an Alternative to Voltage and Frequency Scaling
Fast Performance Prediction for Efficient Distributed DNN Training
Introducing the New Editor-in-Chief of the IEEE Computer Architecture Letters
Managing Prefetchers With Deep Reinforcement Learning
Revisiting Virtual Memory Support for Confidential Computing Environments
The Sky Is Not the Limit: A Visual Performance Model for Cyber-Physical Co-Design in Autonomous Machines
Hardware-Assisted Code-Pointer Tagging for Forward-Edge Control-Flow Integrity
SPGPU: Spatially Programmed GPU
Exploiting OS-Level Memory Offlining for DRAM Power Management
pNet-gem5: Full-System Simulation With High-Performance Networking Enabled by Parallel Network Packet Processing
A Hardware-Software Cooperative Approach for Application Energy Profiling
Exploring the DIMM PIM Architecture for Accelerating Time Series Analysis
Atomic Streaming: A Framework of On-Chip Data Supply System for Task-Parallel MPSoCs
Cosmos: A CXL-Based Full In-Memory System for Approximate Nearest Neighbor Search
PNM Meets Sparse Attention: Enabling Multi-Million Tokens Inference at Scale
Enhanced Duplication: a Technique to Correct Soft Errors in Narrow Values
SSD Offloading for LLM Mixture-of-Experts Weights Considered Harmful in Energy Efficiency
Exploiting Virtual Addressing for Increasing Reliability
Post-Silicon Microarchitecture
Exploring Volatile FPGAs Potential for Accelerating Energy-Harvesting IoT Applications
Efficient Implementation of Knuth Yao Sampler on Reconfigurable Hardware
Energy Aware Race to Halt: A Down to EARtH Approach for Platform Energy Management
A Power-Aware Heterogeneous Architecture Scaling Model for Energy-Harvesting Computers
Challenges in Detecting an "Evasive Spectre"
HBM3 RAS: Enhancing Resilience at Scale
Large Pages on Steroids: Small Ideas to Accelerate Big Memory Applications
Statistical Analysis of Multicore CPUs Operation in Scaled Voltage Conditions
Extending Amdahl's Law for Multicores with Turbo Boost
Rebasing Instruction Prefetching: An Industry Perspective
Birkhoff-Von Neumann Switch Based on Greedy Scheduling
Page-Level Behavior of Cache Contention
Proactive Embedding on Cold Data for Deep Learning Recommendation Model Training
AiDE: Attention-FFN Disaggregated Execution for Cost-Effective LLM Decoding on CXL-PNM
An Efficient Fault-Tolerant Routing Methodology for Meshes and Tori
Balancing Performance Against Cost and Sustainability in Multi-Chip-Module GPUs
Power Management of Datacenter Workloads Using Per-Core Power Gating
Understanding the Implication of Non-Volatile Memory for Large-Scale Graph Neural Network Training
Four-Dimensional Tomographic Reconstruction by Time Domain Decomposition
An Ultra-sparse View CT Imaging Method Based on X-ray2CTNet
Learning Multiscale Convolutional Dictionaries for Image Reconstruction
Modeling Real-World MPI System Matrices From Sparse Observations
SISTER: Spectral-Image Similarity-Based Tensor With Enhanced-Sparsity Reconstruction for Sparse-View Multi-Energy CT
Plug-and-Play ADMM for Image Restoration: Fixed-Point Convergence and Applications
Extended Polar Format Algorithm for Non-Planar Target Imaging With DSM
Sound Speed Estimation for Distributed Aberration Correction in Laterally Varying Media
Resolution Enhancement of UWB Time-Reversal Microwave Imaging in Dispersive Environments
Green Fluorescent Protein and Phase Contrast Image Fusion Via Detail Preserving Cross Network
Joint SAR Imaging and Multi-Feature Decomposition From 2-D Under-Sampled Data Via Low-Rankness Plus Sparsity Priors
Bistatic SAR Moving Targets Refocus Based on Polar Formatted Phase Error Analysis and Clutter Separation
Robust Correspondence Imaging Against Random Disturbances With Single-Pixel Detection
An Adaptive Photon Count Reconstruction Algorithm for Sparse Count and Strong Noise Count Data With Low Signal Background Ratio
Design and Calibration of a Fast Flying-Dot Projector for Dynamic Light Transport Acquisition
High Resolution LED-Based Snapshot Compressive Spectral Video Imaging With Deep Neural Networks
DAMMER: Direct Adaptive Multi-Resolution MEsh Reconstruction From X-Ray Measurements
High-Quality Diffractive Lens Infrared Computational Imaging via Severe Degradation Estimation Framework
Masked Autoencoder-Based Knowledge Transfer for Spectral Reconstruction From RGB Images
TRINIDI: Time-of-Flight Resonance Imaging With Neutrons for Isotopic Density Inference
Unrolled Wirtinger Flow With Deep Decoding Priors for Phaseless Imaging
Probabilistic Modeling and Inference for Sequential Space-Varying Blur Identification
Convergent Primal-Dual Plug-and-Play Image Restoration: A General Algorithm and Applications
PAN-Guided Band-Aware Multi-Spectral Feature Enhancement for Pan-Sharpening
Reconstruction of Hyperspectral Data From RGB Images With Prior Category Information
Efficient Approximate Online Convolutional Dictionary Learning
Injected Infrared and Visible Image Fusion via $L_{1}$ Decomposition Model and Guided Filtering
A Multi-Stage Progressive Network for Hyperspectral Image Demosaicing and Denoising
Arbitrary-Scale Image Super-Resolution via Degradation Perception
Models of Monocular and Binocular Visual Perception in Quality Assessment of Stereoscopic Images
G2L-Stereo: Global to Local Two-Stage Real-Time Stereo Matching Network
Data-Driven Discovery of Mechanical Models Directly From MRI Spectral Data
Fast Joint Multiband Reconstruction From Wideband Images Based on Low-Rank Approximation
Limitations of Data-Driven Spectral Reconstruction: An Optics-Aware Analysis
LIR-Net:Learnable Iterative Reconstruction Network for Fan Beam CT Sparse-View Reconstruction
Robust Preprocessing of Impulsive Motion Artifacts Using Low-Rank Matrix Recovery for Electrical Impedance Tomography
F2IFlow for CT Metal Artifact Reduction
Deep Regularized Compound Gaussian Network for Solving Linear Inverse Problems
PET Image Deblurring and Super-Resolution With an MR-Based Joint Entropy Prior
Sensitivity Encoding for Aligned Multishot Magnetic Resonance Reconstruction
Efficient Dynamic Parallel MRI Reconstruction for the Low-Rank Plus Sparse Model
A Frequency-Dependent Regularization for Autocalibrating Parallel MRI Using the Generalized Discrepancy Principle
Low-Rank Tensor Models for Improved Multidimensional MRI: Application to Dynamic Cardiac T 1 Mapping
Fast Multi-Focus Ultrasound Image Recovery Using Generative Adversarial Networks
NAS Powered Deep Image Prior for Electrical Impedance Tomography
Speckle Suppression in Multi-Channel Coherent Imaging: A Tractable Bayesian Approach
Efficient Approximation of Jacobian Matrices Involving a Non-Uniform Fast Fourier Transform (NUFFT)
Tensor Representation for Three-Dimensional Radar Target Imaging With Sparsely Sampled Data
Local Monotone Operator Learning Using Non-Monotone Operators: MnM-MOL
Learned Full Waveform Inversion Incorporating Task Information for Ultrasound Computed Tomography
Cascaded Frequency-Encoded Multi-Scale Neural Fields for Sparse-View CT Reconstruction
Swap-Net: A Memory-Efficient 2.5D Network for Sparse-View 3D Cone Beam CT Reconstruction to ICF Applications
Four-Dimensional Wide-Field Ultrasound Reconstruction System With Sparse Respiratory Signal Matching
Acoustic Imaging of In-Duct Aeroengine Noise Sources Using Rotating Beamforming and Phased Arrays
PRNet: Pyramid Restoration Network for RAW Image Super-Resolution
EgeFusion: Towards Edge Gradient Enhancement in Infrared and Visible Image Fusion With Multi-Scale Transform
Sampling Design of Synthetic Volume Arrays for Three-Dimensional Microwave Imaging
A Model-Based Image Reconstruction Algorithm With Simultaneous Beam Hardening Correction for X-Ray CT
Learning Efficient Data Representations With Orthogonal Sparse Coding
Multi-Scale Energy (MuSE) Framework for Inverse Problems in Imaging
Fast and Robust Single Particle Reconstruction in 3D Fluorescence Microscopy
Compressive HDR Light Field Imaging Using a Single Multi-ISO Sensor
Physics-Based Learned Design: Optimized Coded-Illumination for Quantitative Phase Imaging
Full View Optical Flow Estimation Leveraged From Light Field Superpixel
A Box-Spline Framework for Inverse Problems With Continuous-Domain Sparsity Constraints
Cycle-Free CycleGAN Using Invertible Generator for Unsupervised Low-Dose CT Denoising
Multi-Slice Fusion for Sparse-View and Limited-Angle 4D CT Reconstruction
SEAGLE: Sparsity-Driven Image Reconstruction Under Multiple Scattering
Coded Illumination for Improved Lensless Imaging
Pattern Research on Sparse Camera Array for Super-Resolution Imaging
MISD: Model-Informed Stable Diffusion Model for Limited Noisy Data CT Reconstruction
Fast and Accurate Multiplicative Decomposition for Fringe Removal in Interferometric Images
DD-DCSR: Image Denoising for Low-Dose CT via Dual-Dictionary Deep Convolutional Sparse Representation
EVA$^{2}$: Event-Assisted Video Frame Interpolation via Cross-Modal Alignment and Aggregation
Discovering Structure From Corruption for Unsupervised Image Reconstruction
Robust and Guided Bayesian Reconstruction of Single-Photon 3D Lidar Data: Application to Multispectral and Underwater Imaging
Magnetic Resonance Spectroscopy Deep Learning Denoising Using Few in Vivo Data
Guest Editorial Computational Imaging for Earth Sciences
Model-Based Reconstruction for Multi-Frequency Collimated Beam Ultrasound Systems
Real-Time Reconstruction of 3D Videos From Single-Photon LiDaR Data in the Presence of Obscurants
Enhanced Nonconvex Low-Rank Approximation of Tensor Multi-Modes for Tensor Completion
Compressive Spectral Imaging via Polar Coded Aperture
SPRITE: 3-D SParse Radar Imaging TEchnique
Compressive Spectral X-Ray CT Reconstruction via Deep Learning
Computational Comparison and Validation of Point Spread Functions for Optical Microscopes
Synthetic Aperture Imaging With Intensity-Only Data
Reduced-Space Relevance Vector Machine for Adaptive Electrical Capacitance Volume Tomography
SPECT Reconstruction With a Trained Regularizer Using CT-Side Information: Application to $^{177}$Lu SPECT Imaging
Luminance-Depth Reconstruction From Compressed Time-of-Flight Histograms
Mixed Integer Programming For Sparse Coding: Application to Image Denoising
3D Localization for Light-Field Microscopy via Convolutional Sparse Coding on Epipolar Images
Non-Confocal 3D Reconstruction in Volumetric Scattering Scenario
Sequential Experimental Design for X-Ray CT Using Deep Reinforcement Learning
Compact Representation of Light Field Data for Refocusing and Focal Stack Reconstruction Using Depth Adaptive Multi-CNN
LL-UNet++:UNet++ Based Nested Skip Connections Network for Low-Light Image Enhancement
Compressive Deconvolution in Random Mask Imaging
Self-Supervised Learning-Based Reconstruction of High-Resolution 4D Light Fields
A Mathematical Model for Adaptive Computed Tomography Sensing
Sparse Clustered Bayesian-Inspired T 1 -T 2 Inversion From Borehole NMR Measurements
Undersampled Dynamic X-Ray Tomography With Dimension Reduction Kalman Filter
Region of Interest Selection-Based Autofocusing for High Magnification Systems
Constrained Conditional Denoising Diffusion for Hyperspectral-Multispectral Fusion
Through the Wall Scene Reconstruction Using Low Rank and Total Variation
Exact Multistatic Interferometric Imaging via Generalized Wirtinger Flow
Optimal Threshold Design for Quanta Image Sensor
LoFi: Neural Local Fields for Scalable Image Reconstruction
Uncertainty Quantification for Deep Unrolling-Based Computational Imaging
Large-Scale Feature Selection With Gaussian Mixture Models for the Classification of High Dimensional Remote Sensing Images
Bounce-Flash Lidar
LFIENet: Light Field Image Enhancement Network by Fusing Exposures of LF-DSLR Image Pairs
Resolution Enhancement of Under-Sampled Photoacoustic Microscopy Images Using Neural Representation
Hyperspectral Imagery Spatial Super-Resolution Using Generative Adversarial Network
RIRO: From Retinex-Inspired Reconstruction Optimization Model to Deep Low-Light Image Enhancement Unfolding Network
Learning Stereo High Dynamic Range Imaging From A Pair of Cameras With Different Exposure Parameters
Depth Estimation From a Single Image Using Deep Learned Phase Coded Mask
Fast Non-Stationary Deconvolution of Ultrasonic Beamformed Images for Nondestructive Testing
MAPANet: A Multi-Scale Attention-Guided Progressive Aggregation Network for Multi-Contrast MRI Super-Resolution
Scalable Plug-and-Play ADMM With Convergence Guarantees
PAH2T-Former: Paired-Attention Hybrid Hierarchical Transformer for Synergistically Enhanced FMT Reconstruction Quality and Efficiency
Time-Resolved Focused Ion Beam Microscopy: Modeling, Estimation Methods, and Analyses
Unpaired Deep Learning for Accelerated MRI Using Optimal Transport Driven CycleGAN
Microwave Imaging Using Optimization With Variable Number of Dimensions
Truncation Correction for X-ray Phase-Contrast Region-of-Interest Tomography
Disparity-Guided Multi-View Interaction Network for Light Field Reflection Removal
Enhanced Light Field Reconstruction by Combining Disparity and Texture Information in PSVs via Disparity-Guided Fusion
Group Shuffle and Spectral-Spatial Fusion for Hyperspectral Image Super-Resolution
Fourier-Based Near-Field Three-Dimensional Image Reconstruction in a Multistatic Imaging Structure Using Dynamic Metasurface Antennas
MRI Super-Resolution With Ensemble Learning and Complementary Priors
Fast Multilayer Laplacian Enhancement
Locally Similar Sparsity-Based Hyperspectral Compressive Sensing Using Unmixing
Data-Driven Learning of a Union of Sparsifying Transforms Model for Blind Compressed Sensing
Multi-Scale Cascaded With Cross-Attention Network-Based Deformation Vector Field Estimation for Motion-Compensated 4D-CBCT Reconstruction
Self-Gated Memory Recurrent Network for Efficient Scalable HDR Deghosting
S2DNet: Depth Estimation From Single Image and Sparse Samples
Multi-Frequency Neural Born Iterative Method for Solving 2-D Inverse Scattering Problems
Object-Based High Contrast Traveltime Tomography
RGMLN:Residual Graph Model Learning Network for Bioluminescence Tomography
HDD-Net: Haar Dual Domain Network for Ring Artifacts Correction
Rotational Motion Compensation and Sparse ISAR Imaging of Maneuvering Targets via Deep Unrolling Network
Automatic and Computationally Efficient Alignment in Fan- and Cone-Beam Tomography
Clip-Driven Universal Model for Multi-Material Decomposition in Dual-Energy CT
Towards Multi-Source Illumination Color Constancy Through Physics-Based Rendering and Spectral Power Distribution Embedding
Loss Functions for Image Restoration With Neural Networks
APANet: Asymmetrical Parallax Attention Network for Efficient Stereo Image Deraining
A Sketching Framework for Reduced Data Transfer in Photon Counting Lidar
Multi-Scale Deep Compressive Imaging
Graph and Rank Regularized Matrix Recovery for Snapshot Spectral Image Demosaicing
Fast and Robust Phase Retrieval via Deep Expectation-Consistent Approximation
Joint Demosaicing and Super-Resolution (JDSR): Network Design and Perceptual Optimization
SHS-GAN: Synthetic Enhancement of a Natural Hyperspectral Database
Spectral Super-Resolution in Colored Coded Aperture Spectral Imaging
Mean Squared Error Based Excitation Pattern Design for Parallel Transmit and Receive SENSE MRI Image Reconstruction
Iteratively Reweighted ℓ 1 Approaches to Sparse Composite Regularization
A Hardware Realization of Superresolution Combining Random Coding and Blurring
Full-Wave Simulations of Tomographic Optical Imaging Through Augmented Partial Factorization
Interferometric Lensless Imaging: Rank-One Projections of Image Frequencies With Speckle Illuminations
Relaxation-Based Super-Resolution Method in Pulsed Magnetic Particle Imaging
Sign-Coded Exposure Sensing for Noise-Robust High-Speed Imaging