Michael Elad | Academic Influence

Michael Elad's AcademicInfluence.com Rankings

Michael Elad

Computer Science

#2233

World Rank

#2326

Historical Rank

Information Management

#10

World Rank

#10

Historical Rank

Database

#374

World Rank

#392

Historical Rank

computer-science Degrees

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Computer Science

Michael Elad's Degrees

Bachelors Electrical Engineering Technion – Israel Institute of Technology
Masters Electrical Engineering Technion – Israel Institute of Technology
PhD Electrical Engineering Technion – Israel Institute of Technology

Why Is Michael Elad Influential?

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According to Wikipedia, Michael Elad is a professor of Computer Science at the Technion - Israel Institute of Technology. His work includes fundamental contributions in the field of sparse representations, and deployment of these ideas to algorithms and applications in signal processing, image processing and machine learning.

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Michael Elad's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

$rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation (2006) (7592)
K-SVD : An Algorithm for Designing of Overcomplete Dictionaries for Sparse Representation (2005) (6860)
Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries (2006) (5274)
Optimally sparse representation in general (nonorthogonal) dictionaries via ℓ1 minimization (2003) (2973)
Sparse and Redundant Representations - From Theory to Applications in Signal and Image Processing (2010) (2732)
On Single Image Scale-Up Using Sparse-Representations (2010) (2515)
From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images (2009) (2294)
Stable recovery of sparse overcomplete representations in the presence of noise (2006) (2270)
Fast and robust multiframe super resolution (2004) (2006)
Sparse Representation for Color Image Restoration (2008) (1780)
Dictionaries for Sparse Representation Modeling (2010) (1261)
Restoration of a single superresolution image from several blurred, noisy, and undersampled measured images (1997) (1123)
Image decomposition via the combination of sparse representations and a variational approach (2005) (1024)
Simultaneous cartoon and texture image inpainting using morphological component analysis (MCA) (2005) (960)
ESPIRiT—an eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA (2014) (944)
Efficient Implementation of the K-SVD Algorithm using Batch Orthogonal Matching Pursuit (2008) (805)
Optimized Projections for Compressed Sensing (2007) (781)
On the origin of the bilateral filter and ways to improve it (2002) (777)
Analysis versus synthesis in signal priors (2006) (735)
Generalizing the Nonlocal-Means to Super-Resolution Reconstruction (2009) (718)
On the Role of Sparse and Redundant Representations in Image Processing (2010) (704)
A generalized uncertainty principle and sparse representation in pairs of bases (2002) (644)
Advances and challenges in super‐resolution (2004) (637)
A Variational Framework for Retinex (2003) (627)
Double Sparsity: Learning Sparse Dictionaries for Sparse Signal Approximation (2010) (614)
Learning Multiscale Sparse Representations for Image and Video Restoration (2007) (523)
The Little Engine That Could: Regularization by Denoising (RED) (2016) (522)
A fast super-resolution reconstruction algorithm for pure translational motion and common space-invariant blur (2000) (510)
The Cosparse Analysis Model and Algorithms (2011) (453)
Analysis K-SVD: A Dictionary-Learning Algorithm for the Analysis Sparse Model (2013) (450)
L1-L2 Optimization in Signal and Image Processing (2010) (440)
Redundant Multiscale Transforms and Their Application for Morphological Component Separation (2004) (434)
Image Denoising Via Learned Dictionaries and Sparse representation (2006) (428)
A Statistical Prediction Model Based on Sparse Representations for Single Image Super-Resolution (2014) (384)
Fast and Robust Multi-Frame Super-Resolution (2004) (360)
Image Sequence Denoising via Sparse and Redundant Representations (2009) (359)
Multiframe demosaicing and super-resolution of color images (2006) (351)
Compression of facial images using the K-SVD algorithm (2008) (344)
Calibrationless parallel imaging reconstruction based on structured low‐rank matrix completion (2013) (319)
Super-Resolution Without Explicit Subpixel Motion Estimation (2009) (314)
Why Simple Shrinkage Is Still Relevant for Redundant Representations? (2006) (296)
On the Uniqueness of Nonnegative Sparse Solutions to Underdetermined Systems of Equations (2008) (295)
Super-Resolution Reconstruction of Image Sequences (1999) (274)
Superresolution restoration of an image sequence: adaptive filtering approach (1999) (264)
Coherence-Based Performance Guarantees for Estimating a Sparse Vector Under Random Noise (2009) (244)
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding (2016) (239)
Coordinate and subspace optimization methods for linear least squares with non-quadratic regularization (2007) (231)
Maximal Sparsity Representation via l 1 Minimization (2002) (223)
On the uniqueness of overcomplete dictionaries, and a practical way to retrieve them (2006) (219)
Audio Inpainting (2012) (218)
Multi-Scale Patch-Based Image Restoration (2016) (203)
Fast and accurate Polar Fourier transform (2006) (199)
On the stability of the basis pursuit in the presence of noise (2006) (193)
Content Based Retrieval of VRML Objects - An Iterative and Interactive Approach (2001) (188)
K-SVD and its non-negative variant for dictionary design (2005) (185)
Retinex by Two Bilateral Filters (2005) (185)
Image Processing Using Smooth Ordering of its Patches (2012) (181)
Sparse and Redundant Modeling of Image Content Using an Image-Signature-Dictionary (2008) (180)
A Plurality of Sparse Representations Is Better Than the Sparsest One Alone (2009) (178)
K-SVD : DESIGN OF DICTIONARIES FOR SPARSE REPRESENTATION (2005) (177)
Pixels that sound (2005) (175)
Multi-Scale Dictionary Learning Using Wavelets (2011) (173)
Down-Scaling for Better Transform Compression (2001) (161)
Content based retrieval of VRML objects: an iterative and interactive approach (2002) (156)
Sparse and Redundant Representation Modeling—What Next? (2012) (152)
On the bilateral filter and ways to improve it (2002) (150)
Example-Based Regularization Deployed to Super-Resolution Reconstruction of a Single Image (2009) (144)
Exploiting Statistical Dependencies in Sparse Representations for Signal Recovery (2010) (133)
Improving Dictionary Learning: Multiple Dictionary Updates and Coefficient Reuse (2013) (131)
The Projected GSURE for Automatic Parameter Tuning in Iterative Shrinkage Methods (2010) (129)
A wide-angle view at iterated shrinkage algorithms (2007) (128)
Morphological component analysis (2005) (127)
DeepRED: Deep Image Prior Powered by RED (2019) (127)
Robust shift and add approach to superresolution (2003) (125)
Applications of Sparse Representation and Compressive Sensing (2010) (125)
Style Transfer Via Texture Synthesis (2016) (124)
Denoising Diffusion Restoration Models (2022) (123)
Greedy-like algorithms for the cosparse analysis model (2012) (116)
Boosting of Image Denoising Algorithms (2015) (115)
Single Image Interpolation Via Adaptive Nonlocal Sparsity-Based Modeling (2014) (114)
Convolutional Dictionary Learning via Local Processing (2017) (114)
Shape from moments - an estimation theory perspective (2004) (112)
Unsupervised Single Image Dehazing Using Dark Channel Prior Loss (2018) (111)
Poisson Inverse Problems by the Plug-and-Play scheme (2015) (110)
Sparsity-Based Poisson Denoising With Dictionary Learning (2013) (107)
Super Resolution With Probabilistic Motion Estimation (2009) (106)
Morphological diversity and source separation (2006) (105)
Image Denoising with Shrinkage and Redundant Representations (2006) (104)
Working Locally Thinking Globally: Theoretical Guarantees for Convolutional Sparse Coding (2017) (103)
Multilayer Convolutional Sparse Modeling: Pursuit and Dictionary Learning (2017) (103)
Example-based single document image super-resolution: a global MAP approach with outlier rejection (2007) (99)
Generalized Tree-Based Wavelet Transform (2010) (99)
Sparse Coding with Anomaly Detection (2013) (97)
Trainlets: Dictionary Learning in High Dimensions (2016) (97)
Space-dependent color gamut mapping: a variational approach (2005) (89)
Cosparse analysis modeling - uniqueness and algorithms (2011) (89)
MCALab: Reproducible Research in Signal and Image Decomposition and Inpainting (2010) (85)
The Generalized Eigenvalue Problem for Nonsquare Pencils Using a Minimal Perturbation Approach (2005) (85)
Theoretical Foundations of Deep Learning via Sparse Representations: A Multilayer Sparse Model and Its Connection to Convolutional Neural Networks (2018) (83)
Closed-Form MMSE Estimation for Signal Denoising Under Sparse Representation Modeling Over a Unitary Dictionary (2010) (78)
Dual Graph Regularized Dictionary Learning (2016) (77)
Video-to-Video Dynamic Super-Resolution for Grayscale and Color Sequences (2006) (75)
Turning a denoiser into a super-resolver using plug and play priors (2016) (74)
Postprocessing of Compressed Images via Sequential Denoising (2015) (73)
K-SVD dictionary-learning for the analysis sparse model (2012) (70)
On Multi-Layer Basis Pursuit, Efficient Algorithms and Convolutional Neural Networks (2018) (66)
Cross-Modal Localization via Sparsity (2007) (65)
RIP-Based Near-Oracle Performance Guarantees for SP, CoSaMP, and IHT (2012) (65)
Expected Patch Log Likelihood with a Sparse Prior (2015) (64)
SNIPS: Solving Noisy Inverse Problems Stochastically (2021) (64)
Rethinking the CSC Model for Natural Images (2019) (61)
A constrained matching pursuit approach to audio declipping (2011) (60)
Multiscale Sparse Image Representationwith Learned Dictionaries (2007) (60)
Linearized Kernel Dictionary Learning (2015) (60)
Rejection based classifier for face detection (2002) (58)
Deep K-SVD Denoising (2019) (57)
Compressed Learning: A Deep Neural Network Approach (2016) (57)
Sequential minimal eigenvalues - an approach to analysis dictionary learning (2011) (56)
Fast and robust super-resolution (2003) (55)
Reduced complexity Retinex algorithm via the variational approach (2003) (55)
Low Bit-Rate Compression of Facial Images (2007) (55)
Directed Search In A 3D Objects Database Using SVM (2000) (52)
Recursive Optical Flow Estimation - Adaptive Filtering Approach (1998) (51)
Bi-l0-l2-norm regularization for blind motion deblurring (2014) (50)
Redundant Wavelets on Graphs and High Dimensional Data Clouds (2011) (49)
Variable projection for near-optimal filtering in low bit-rate block coders (2005) (49)
On Lebesgue-type inequalities for greedy approximation (2007) (48)
A Deep Learning Approach to Block-based Compressed Sensing of Images (2016) (47)
Dictionary Learning for Analysis-Synthesis Thresholding (2014) (46)
Regularization by Denoising via Fixed-Point Projection (RED-PRO) (2020) (45)
Performance Guarantees of the Thresholding Algorithm for the Cosparse Analysis Model (2012) (45)
Pattern detection using a maximal rejection classifier (2000) (44)
Spatially-Adaptive Reconstruction in Computed Tomography Using Neural Networks (2013) (43)
Super-resolution reconstruction of continuous image sequences (1999) (43)
Constrained, globally optimal, multi-frame motion estimation (2005) (42)
On MMSE and MAP Denoising Under Sparse Representation Modeling Over a Unitary Dictionary (2010) (38)
SUPER-RESOLUTION RESTORATION OF CONTINUOUS IMAGE SEQUENCE - ADAPTIVE FILTERING APPROACH (2007) (38)
Facial Image Compression using Patch-Ordering-Based Adaptive Wavelet Transform (2014) (38)
Sparse non-negative solution of a linear system of equations is unique (2008) (38)
Multiframe demosaicing and super-resolution from undersampled color images (2004) (37)
Probabilistic Subspace Clustering Via Sparse Representations (2013) (36)
Improved denoising of images using modelling of a redundant contourlet transform (2005) (36)
Linear-Time Subspace Clustering via Bipartite Graph Modeling (2015) (36)
Unified Single-Image and Video Super-Resolution via Denoising Algorithms (2018) (36)
Image denoising through multi-scale learnt dictionaries (2014) (35)
A General Iterative Regularization Framework For Image Denoising (2006) (35)
A Shrinkage Learning Approach for Single Image Super-Resolution with Overcomplete Representations (2010) (34)
Self-content-based audio inpainting (2015) (33)
Super-resolution reconstruction of an image (1996) (33)
Improving K-SVD denoising by post-processing its method-noise (2013) (33)
Image denoising using NL-means via smooth patch ordering (2013) (32)
Optimal reduced-rank quadratic classifiers using the Fukunaga-Koontz transform with applications to automated target recognition (2003) (32)
A Non-Negative and Sparse Enough Solution of an Underdetermined Linear System of Equations is Unique (2007) (32)
Compressed Learning for Image Classification: A Deep Neural Network Approach (2018) (30)
Patch-Ordering-Based Wavelet Frame and Its Use in Inverse Problems (2014) (28)
Patch-disagreement as away to improve K-SVD denoising (2015) (28)
A Local Block Coordinate Descent Algorithm for the CSC Model (2019) (28)
Stochastic Image Denoising by Sampling from the Posterior Distribution (2021) (27)
Sparsity Based Methods for Overparametrized Variational Problems (2014) (27)
Optimal filters for gradient-based motion estimation (1999) (26)
Sparse Representations Are Most Likely to Be the Sparsest Possible (2006) (26)
Large Inpainting of Face Images With Trainlets (2016) (26)
Sparse learned representations for image restoration (2008) (26)
Patch Craft: Video Denoising by Deep Modeling and Patch Matching (2021) (26)
Clutter Mitigation in Echocardiography Using Sparse Signal Separation (2015) (25)
LIDIA: Lightweight Learned Image Denoising with Instance Adaptation (2019) (25)
Sparsity-based Sinogram Denoising for low-dose Computed Tomography (2011) (25)
Multi Layer Sparse Coding: the Holistic Way (2018) (25)
Simple, Accurate, and Robust Nonparametric Blind Super-Resolution (2015) (25)
Learning Sparse Dictionaries for Sparse Signal Approximation (2009) (24)
Accurate and fast discrete polar Fourier transform (2003) (24)
On sparse signal representations (2001) (24)
Con-Patch: When a Patch Meets Its Context (2016) (24)
Improving the k-svd facial image compression using a linear deblocking method (2008) (23)
Structure-aware classification using supervised dictionary learning (2016) (23)
From Exact to Approximate Solutions (2010) (22)
Ada-LISTA: Learned Solvers Adaptive to Varying Models (2020) (22)
Dynamic demosaicing and color superresolution of video sequences (2004) (22)
High Perceptual Quality Image Denoising with a Posterior Sampling CGAN (2021) (21)
Optimal framework for low bit-rate block coders (2003) (21)
On the uniqueness of non-negative sparse & redundant representations (2008) (21)
Sparse and redundant representations and motion-estimation-free algorithm for video denoising (2007) (20)
The Rate-Distortion-Accuracy Tradeoff: JPEG Case Study (2020) (20)
E-cient Implementation of the K-SVD Algorithm and the Batch-OMP Method (2008) (19)
A practical approach to superresolution (2006) (18)
Recovery of cosparse signals with Greedy Analysis Pursuit in the presence of noise (2011) (18)
Cosamp and SP for the cosparse analysis model (2012) (18)
Post-Cartesian Calibrationless Parallel Imaging Reconstruction by Structured Low-Rank Matrix Completion (2009) (18)
A Weighted Average of Sparse Representations is Better than the Sparsest One Alone (2008) (17)
Better Compression With Deep Pre-Editing (2020) (17)
A practical approach to super-resolution (2006) (17)
Working Locally Thinking Globally - Part II: Stability and Algorithms for Convolutional Sparse Coding (2016) (17)
Working Locally Thinking Globally - Part I: Theoretical Guarantees for Convolutional Sparse Coding (2016) (16)
RIP-Based Near-Oracle Performance Guarantees for Subspace-Pursuit, CoSaMP, and Iterative Hard-Thresholding (2010) (16)
Multiscale Sparse Image Representation with Learned Dictionaries (PREPRINT) (2007) (16)
Adversarial Noise Attacks of Deep Learning Architectures: Stability Analysis via Sparse-Modeled Signals (2018) (16)
JPEG Artifact Correction using Denoising Diffusion Restoration Models (2022) (15)
Analysis of the bilateral filter (2002) (15)
Automatic parameter setting for iterative shrinkage methods (2008) (15)
On MAP and MMSE estimators for the co-sparse analysis model (2014) (15)
Sparsity based Poisson denoising (2012) (15)
Patch Ordering as a Regularization for Inverse Problems in Image Processing (2016) (15)
Super-resolution restoration of continuous image sequence using the LMS algorithm (1995) (14)
On the Global-Local Dichotomy in Sparsity Modeling (2017) (14)
Can we allow linear dependencies in the dictionary in the sparse synthesis framework? (2013) (14)
Finding GEMS: Multi-Scale Dictionaries For High-Dimensional Graph Signals (2018) (13)
Variational famework for Retinex (2002) (13)
Near-Oracle Performance of Basis Pursuit under Random Noise (2009) (13)
Cosparse Analysis Modeling (2011) (12)
On the Design of Filters for Gradient-Based Motion Estimation (2005) (12)
A weighted discriminative approach for image denoising with overcomplete representations (2010) (12)
When and How Can Deep Generative Models be Inverted? (2020) (12)
Optimized Pre-Compensating Compression (2017) (11)
Denoising of image patches via sparse representations with learned statistical dependencies (2011) (11)
The Quest for a Dictionary (2010) (11)
Acceleration of RED via Vector Extrapolation (2018) (11)
Improved high-definition video by encoding at an intermediate resolution (2004) (11)
MMSE Approximation For Sparse Coding Algorithms Using Stochastic Resonance (2018) (11)
Example-Based Image Synthesis via Randomized Patch-Matching (2016) (10)
OMP with Highly Coherent Dictionaries (2013) (10)
Restoration by Compression (2017) (10)
Variations on the Convolutional Sparse Coding Model (2020) (10)
Threat Model-Agnostic Adversarial Defense using Diffusion Models (2022) (9)
Another step toward demystifying deep neural networks (2020) (9)
Down – Sampling for Better Transform Compression (2001) (9)
Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance (2022) (9)
On the design of optimal filters for gradient-based motion (2002) (9)
A Probabilistic Study of the Average Performance of the Basis Pursuit (2004) (9)
A Local Block Coordinate Descent Algorithm for the Convolutional Sparse Coding Model (2018) (9)
Algorithms for signal separation exploiting sparse representations, with application to texture image separation (2008) (9)
An EigenVector Approach to AutoCalibrating Parallel MRI , Where SENSE Meets GRAPPA (2010) (9)
Coherence-based near-oracle performance guarantees for sparse estimation under Gaussian noise (2010) (9)
Learned Greedy Method (LGM): A Novel Neural Architecture for Sparse Coding and Beyond (2020) (8)
Iterative Hard Thresholding with Near Optimal Projection for Signal Recovery (2013) (8)
Adaptive filtered-back-projection for computed tomography (2008) (8)
Deep Energy: Task Driven Training of Deep Neural Networks (2018) (8)
Biblio: automatic meta-data extraction (2007) (7)
System-Aware Compression (2018) (7)
Optimal filters for gradient-based motion estimation (2000) (7)
Sparsity based poisson inpainting (2014) (7)
Graph-constrained supervised dictionary learning for multi-label classification (2016) (7)
BIGRoC: Boosting Image Generation via a Robust Classifier (2021) (6)
Dictionary Learning for High Dimensional Graph Signals (2018) (6)
Patch based reconstruction of undersampled data (PROUD) for high signal‐to‐noise ratio and high frame rate contrast enhanced liver imaging (2015) (6)
DENOISING WITH THE CONTOURLET TRANSFORM (2005) (6)
Fusion of ultrasound harmonic imaging with clutter removal using sparse signal separation (2015) (6)
Dictionaries for Sparse Representation Modeling Digital sampling can display signals, and it should be possible to expose a large part of the desired signal information with only a limited signal sample. (2010) (6)
SHRINKAGE FOR REDUNDANT REPRESENTATIONS (2005) (6)
Gaussian mixture diffusion (2016) (6)
Iterative Shrinkage Algorithms and Their Acceleration for L 1L 2 Signal and Image Processing Applications (2010) (5)
Sparse Representation for Color Image Restoration (PREPRINT) (2006) (5)
Sparse signal separation with an off-line learned dictionary for clutter reduction in echocardiography (2014) (5)
Theoretical guarantees for graph sparse coding (2020) (5)
Learned Shrinkage Approach for Low-Dose Reconstruction in Computed Tomography (2013) (5)
Uncertainty Intervals for Robust Bottleneck Assignment (2019) (5)
Example-based cross-modal denoising (2012) (5)
The periodic step gradient descent algorithm — General analysis and application to the super resolution reconstruction problem (1998) (4)
Pursuit Algorithms – Practice (2010) (4)
On Restoration and Super-Resolution for Continuous Image Sequence - Adaptive Filtering Approach (1994) (4)
Image Denoising: The Deep Learning Revolution and Beyond - A Survey Paper - (2023) (4)
Deep Image Prior Powered by RED (2020) (4)
Compression for Multiple Reconstructions (2018) (4)
Variations on the CSC model (2018) (4)
Sparse Modeling in Image Processing and Deep Learning (Keynote Talk) (2018) (4)
Deep Energy: Using Energy Functions for Unsupervised Training of DNNs (2018) (4)
RED-UCATION: A Novel CNN Architecture Based on Denoising Nonlinearities (2018) (4)
Image restoration via successive compression (2016) (4)
Do Perceptually Aligned Gradients Imply Adversarial Robustness? (2022) (4)
Sparsity-Seeking Methods in Signal Processing (2010) (3)
Five Lectures on Sparse and Redundant Representations Modelling of Images (2012) (3)
Reconstruction of highly under-sampled dynamic MRI using sparse representation of 1D temporal snippets (2015) (3)
Direct adaptive algorithms for CT reconstruction (2009) (3)
Audio inpainting: problem statement, relation with sparse representations and some experiments (2010) (3)
SOS Boosting of Image Denoising Algorithms (2015) (3)
Closed-form mmse estimator for denoising signals under sparse representation modelling (2008) (3)
Uniqueness and Uncertainty (2010) (3)
Reducing artifacts of intra-frame video coding via sequential denoising (2016) (3)
Analysis and synthesis sparse modeling methods image processing (2011) (2)
Denoising with greedy-like pursuit algorithms (2011) (2)
Projecting on to the Multi-Layer Convolutional Sparse Coding Model (2018) (2)
Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality (2022) (2)
Towards A Most Probable Recovery in Optical Imaging (2022) (2)
Spatially-Adaptive Reconstruction in Computed Tomography Based on Statistical Learning (2010) (2)
Introduction to the issue on Adaptive Sparse Representation of Data and Applications in Signal and Image Processing (2011) (2)
Patch Based Reconstruction Of Undersampled Data ( PROUD ) for High SNR and High Frame Rate Contrast Enhanced Liver Imaging (2014) (2)
MMSE Approximation for Denoising Using Several Sparse Representations (2008) (2)
Corrigendum: Example-Based Regularization Deployed to Super-Resolution Reconstruction of a Single Image (2010) (2)
Analysis of Basis Pursuit via Capacity Sets (2008) (2)
Topics in sparse representation modeling and applications (2015) (2)
What's Behind the Mask: Estimating Uncertainty in Image-to-Image Problems (2022) (2)
ADMM Pursuit for Manifold Regularized Sparse Coding (2016) (2)
Iterative-Shrinkage Algorithms (2010) (2)
Space Sensitive Color Gamut Mapping : A Variational Approach (2000) (2)
MAP versus MMSE Estimation (2010) (1)
SOS Boosting for Image Deblurring Algorithms (2019) (1)
Patch-Craft Self-Supervised Training for Correlated Image Denoising (2022) (1)
Liana composition and diversity in the Campo-Ma'an rainforest in southern Cameroon. (2010) (1)
Space-Dependent Color Gamut Mapping: (2005) (1)
Global Sensitivity Analysis for the Linear Assignment Problem (2020) (1)
A Reproducible Research Framework for Audio Inpainting (2011) (1)
Biblio: automatic meta-data extraction. Int J Doc Anal Recognit (2007) (1)
Weakly-supervised Representation Learning for Video Alignment and Analysis (2023) (1)
A General Framework for Iterative Regularization in Image Processing Contents (2006) (1)
The Dantzig-Selector Algorithm (2010) (1)
Guest Editorial: Sparse Coding (2015) (1)
Pursuit Algorithms – Guarantees (2010) (1)
Interpolated dictionaries - a Multi-Scale Dictionary Learning Approach (2010) (1)
Improved Image Generation via Sparse Modeling (2021) (1)
Coarse-to-fine Iterative Reweighted l 1-norm Compressed Sensing for Dynamic Imaging (2009) (1)
Optimisation with Zeroth-Order Oracles in Formation (2020) (1)
Towards Average PerformanceAnalysis (2010) (1)
Predicting Image Quality of Under-Sampled Data Reconstruction in the Presence of Noise (2012) (1)
Iterative signal recovery from incomplete samples (2010) (1)
The 9th International Conference on Sampling Theory and Applications (2011) (0)
Guest Editorial: Sparse Coding (2015) (0)
Can We Allow High Correlations in the Dictionary in the Synthesis Framework ? (2013) (0)
08492 Abstracts Collection Structured Decompositions and E cient Algorithms Dagstuhl Seminar (2009) (0)
ROBUST MULTI-FRAME SUPER-RESOLUTION OF GRAYSCALE IMAGES (2005) (0)
From Local to Global Sparse Modeling (2018) (0)
Image Deblurring – A Case Study (2010) (0)
Tails of Condition Number Distributions (2005) (0)
Implementation of Hybrid Error Model Using Super Resolution for Medical Images (2013) (0)
The Analysis (Co-)Sparse Model Origin, Definition, Pursuit, Dictionary-Learning and Beyond (2015) (0)
Simultaneous Detection and Classification of Partially and Weakly Supervised Cells (2022) (0)
OntheRoleofSparseand Redundant Representations in Image Processing Inimageprocessing,fillinginmissingportionsofimagesorclearingupblurredimages can be rapid, efficient, accurate, and relatively simple procedures. (2010) (0)
Low-Weight and Learnable Image Denoising (2019) (0)
Supplementary Material for the Manuscript : Large Inpainting of Face Images with Trainlets (2016) (0)
2 Compressed Sensing – The Basics (2006) (0)
Novel Image and Video Super-Resolution Relying on Denoising Algorithms (2018) (0)
Sparse Coding with Anomaly Detection (2014) (0)
Image Compression – Facial Images (2010) (0)
08492 Executive Summary - Structured Decompositions and Efficient Algorithms (2008) (0)
High Dimensional Dictionary Learning and Applications (2017) (0)
Classifier Robustness Enhancement Via Test-Time Transformation (2023) (0)
Sparse Modeling for Improving Image Generators (2021) (0)
RECONSTRUCTION OF DYNAMIC UNDER-SAMPLED MRI USING SELF-SIMILARITY AMONG 1 D TEMPORAL SNIPPETS (2014) (0)
SNIPS: Solving Noisy Inverse Problems Stochastically (Appendices) (2021) (0)
High-Perceptual Quality JPEG Decoding via Posterior Sampling (2022) (0)
Classification Stability for Sparse-Modeled Signals (2018) (0)
Image Generation Using a Sparsity Model (2016) (0)
Ip1 Approximate Inference in Graphical Models: the Fenchel Duality Perspective Ip2 Operator Splitting Techniques in Image Processing Ip3 Data Don't Lie: Image Processing via Learned Ef- Ficient Representations Ip4 from Shape Matching to Shape Mechanics: Geom- Etry and Dynamics (0)
Inpainting of Large Face Images with Trainlets (slides) (2017) (0)
1583 Patch-Based Reconstruction Of Undersampled Images ( PROUD ) for Sub-second Frame Rate 4 D Contrast Enhanced Liver Imaging (2013) (0)
Shape from moments as an inverse problem (2002) (0)
Near‐Oracle Performance Guarantees for Greedy‐Like Methods (2010) (0)
Sparsity-Based Processing of Graph Structured Data (2018) (0)
A near-optimal filtering scheme for low bit-rate block coders using variable projection (2003) (0)
Wavelet shrinkage techniques for images (2020) (0)
Working Locally Thinking Globally: Guarantees for Convolutional Sparse Coding (2017) (0)
08492 Abstracts Collection - Structured Decompositions and Efficient Algorithms (2008) (0)
110 11051 – Sparse Representations and Efficient Sensing of Data 2 Table of Contents Executive Summary (2011) (0)
4940 Cross-scale self-similarity super-resolution of single MRI slice-stacks (2013) (0)
Sparse Representations and Efficient Sensing of Data (Dagstuhl Seminar 11051) (2011) (0)
Adversarial Noise Attacks of Deep Learning Architectures: Stability Analysis via Sparse-Modeled Signals (2019) (0)
Adapted Filtered-Back-Projection Computed Tomography (2008) (0)
Prologue to Sparsity Issue (2008) (0)
New Methods for Signal Compression and Their Relations to Restoration Problems (2018) (0)
1 Introduction 1 . 1 Polar Fourier Transform (2005) (0)
Improving Pursuit Algorithms Using Stochastic Resonance (2018) (0)
Wavelet based Technique for Super Resolution Image Reconstruction (2019) (0)
Technical Perspective Iterative Signal Recovery From Incomplete Samples (2010) (0)
Compressed Sensing and Computed Tomography with Deep Neural Networks (2015) (0)
Acceleration of RED via vector extrapolation q (2019) (0)
FOR HIGH DIMENSIONAL GRAPH SIGNALS (2018) (0)
PATCH ORDERING REGULARIZATION FOR INVERSE PROBLEMS 3 We should note that the proposed scheme bares some similarity to recent work offering regularization of inverse problems by utilizing the similarity between patches formed as a graph (2018) (0)
A General Iterative Regularization Framework For (2006) (0)

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