Michael Elad

ORCID {0000-0001-8131-6928}

PROFILE

Homepage
https://elad.cs.technion.ac.il/
ORCID
{0000-0001-8131-6928}
Affiliations
Computer Science, Technion–Israel Institute of Technology, Haifa, 32000, Israel
Aliases
M Elad, M. Elad
Publication record
362 papers · 74,615 citations · H-index 98

PAPERS

Image Denoising: The Deep Learning Revolution and Beyond - A Survey Paper -
2023137 citationsauthor #1
Principal Uncertainty Quantification With Spatial Correlation for Image Restoration Problems
202333 citationsauthor #5
Colonoscopy Coverage Revisited: Identifying Scanning Gaps in Real-Time
20230 citationsauthor #4
Nested Diffusion Processes for Anytime Image Generation
20239 citationsauthor #4
Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image Restoration
202316 citationsauthor #4
GSURE-Based Diffusion Model Training with Corrupted Data
202339 citationsauthor #4
Conformal Prediction Masks: Visualizing Uncertainty in Medical Imaging
202320 citationsauthor #3
Class-Conditioned Transformation for Enhanced Robust Image Classification
20234 citationsauthor #4
CLIPAG: Towards Generator-Free Text-to-Image Generation
202315 citationsauthor #2
Technical Design Report for the LUXE Experiment
202340 citationsauthor #29
NOVEL ONLINE AND OFFLINE COLONOSCOPY QUALITY METRICS BASED ON TUBENESS
20230 citationsauthor #3
Semi-supervised Quality Evaluation of Colonoscopy Procedures
20232 citationsauthor #5
Weakly-Supervised Representation Learning for Video Alignment and Analysis
20234 citationsauthor #3
Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality
202218 citationsauthor #3
Denoising Diffusion Restoration Models
20221,159 citationsauthor #2
High-Perceptual Quality JPEG Decoding via Posterior Sampling
20229 citationsauthor #4
Threat Model-Agnostic Adversarial Defense using Diffusion Models
202235 citationsauthor #5
Do Perceptually Aligned Gradients Imply Robustness?
202218 citationsauthor #3
Towards A Most Probable Recovery in Optical Imaging
20222 citationsauthor #4
Do Perceptually Aligned Gradients Imply Adversarial Robustness?
202214 citationsauthor #3
PatchCraft Self-Supervised Training for Correlated Image Denoising
202210 citationsauthor #2
JPEG Artifact Correction using Denoising Diffusion Restoration Models
202266 citationsauthor #4
What's Behind the Mask: Estimating Uncertainty in Image-to-Image Problems
20225 citationsauthor #3
Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance
202247 citationsauthor #3
Simultaneous Detection and Classification of Partially and Weakly Supervised Cells
20220 citationsauthor #5
Complex-Valued Retrievals From Noisy Images Using Diffusion Models
20226 citationsauthor #4
SNIPS: Solving Noisy Inverse Problems Stochastically
2021239 citationsauthor #3
Patch Craft: Video Denoising by Deep Modeling and Patch Matching
202177 citationsauthor #2
Improved Image Generation via Sparse Modeling
20211 citationsauthor #2
Deep Energy: Task Driven Training of Deep Neural Networks
202112 citationsauthor #3
High Perceptual Quality Image Denoising with a Posterior Sampling CGAN
202147 citationsauthor #4
BIGRoC: Boosting Image Generation via a Robust Classifier
202111 citationsauthor #2
Stochastic Image Denoising by Sampling from the Posterior Distribution
202171 citationsauthor #3
Sparse Modeling for Improving Image Generators
20210 citationsauthor #2
Improved Image Generation via Sparse Modeling
20210 citationsauthor #2
Regularization by Denoising via Fixed-Point Projection (RED-PRO)
2020131 citationsauthor #2
Better Compression With Deep Pre-Editing
202027 citationsauthor #7
Theoretical guarantees for graph sparse coding
20206 citationsauthor #2
Another step toward demystifying deep neural networks
202011 citationsauthor #1
Ada-LISTA: Learned Solvers Adaptive to Varying Models
202047 citationsauthor #3
The Rate-Distortion-Accuracy Tradeoff: JPEG Case Study
202043 citationsauthor #4
Optimization with Zeroth-Order Oracles in Formation
20202 citationsauthor #1
Global Sensitivity Analysis for the Linear Assignment Problem
20204 citationsauthor #1
Learned Greedy Method (LGM): A Novel Neural Architecture for Sparse Coding and Beyond
202020 citationsauthor #3
Variations on the Convolutional Sparse Coding Model
202016 citationsauthor #3
Deep Image Prior Powered by RED
20208 citationsauthor #2
When and How Can Deep Generative Models be Inverted?
202013 citationsauthor #3
Low-Weight and Learnable Image Denoising
20190 citationsauthor #2
Deep K-SVD Denoising
2019129 citationsauthor #2
SOS Boosting for Image Deblurring Algorithms
20192 citationsauthor #3
Uncertainty Intervals for Robust Bottleneck Assignment
20197 citationsauthor #1
DeepRED: Deep Image Prior Powered by RED
2019228 citationsauthor #2
A Local Block Coordinate Descent Algorithm for the CSC Model
201937 citationsauthor #3
Rethinking the CSC Model for Natural Images
2019100 citationsauthor #2
LIDIA: Lightweight Learned Image Denoising with Instance Adaptation
201934 citationsauthor #2
Wavelet based Technique for Super Resolution Image Reconstruction
20190 citationsauthor #12
Improving Pursuit Algorithms Using Stochastic Resonance
20180 citationsauthor #5
MMSE Approximation For Sparse Coding Algorithms Using Stochastic Resonance
201814 citationsauthor #5
Unsupervised Single Image Dehazing Using Dark Channel Prior Loss
2018231 citationsauthor #3
Unified Single-Image and Video Super-Resolution via Denoising Algorithms
201839 citationsauthor #3
Novel Image and Video Super-Resolution Relying on Denoising Algorithms
20180 citationsauthor #2
New Methods for Signal Compression and Their Relations to Restoration Problems
20180 citationsauthor #3
Finding GEMS: Multi-Scale Dictionaries For High-Dimensional Graph Signals
201818 citationsauthor #2
Sparsity-Based Processing of Graph Structured Data
20180 citationsauthor #2
Acceleration of RED via Vector Extrapolation
201818 citationsauthor #3
Dictionary Learning for High Dimensional Graph Signals
20187 citationsauthor #2
Classification Stability for Sparse-Modeled Signals
20180 citationsauthor #2
Sparse Modeling in Image Processing and Deep Learning (Keynote Talk)
20184 citationsauthor #2
FOR HIGH DIMENSIONAL GRAPH SIGNALS
20180 citationsauthor #2
Theoretical Foundations of Deep Learning via Sparse Representations: A Multilayer Sparse Model and Its Connection to Convolutional Neural Networks
2018111 citationsauthor #4
From Local to Global Sparse Modeling
20180 citationsauthor #2
A Local Block Coordinate Descent Algorithm for the Convolutional Sparse Coding Model
201811 citationsauthor #3
Deep-Energy: Unsupervised Training of Deep Neural Networks
20182 citationsauthor #3
Compressed Learning for Image Classification: A Deep Neural Network Approach
201846 citationsauthor #3
Adversarial Noise Attacks of Deep Learning Architectures: Stability Analysis via Sparse-Modeled Signals
201823 citationsauthor #4
Variations on the CSC model
20184 citationsauthor #3
Compression for Multiple Reconstructions
20183 citationsauthor #2
On Multi-Layer Basis Pursuit, Efficient Algorithms and Convolutional Neural Networks
201898 citationsauthor #3
System-Aware Compression
20186 citationsauthor #2
Projecting on to the Multi-Layer Convolutional Sparse Coding Model
20182 citationsauthor #4
Deep Energy: Using Energy Functions for Unsupervised Training of DNNs
20185 citationsauthor #3
RED-UCATION: A Novel CNN Architecture Based on Denoising Nonlinearities
20185 citationsauthor #2
Multi Layer Sparse Coding: the Holistic Way
201837 citationsauthor #3
High Dimensional Dictionary Learning and Applications
20170 citationsauthor #3
Optimized Pre-Compensating Compression
201711 citationsauthor #2
Multilayer Convolutional Sparse Modeling: Pursuit and Dictionary Learning
2017119 citationsauthor #4
On the Global-Local Dichotomy in Sparsity Modeling
201715 citationsauthor #3
Convolutional Dictionary Learning via Local Processing
2017146 citationsauthor #3
Restoration by Compression
201712 citationsauthor #2
Inpainting of Large Face Images with Trainlets (slides)
20170 citationsauthor #2
Working Locally Thinking Globally: Guarantees for Convolutional Sparse Coding
20170 citationsauthor #3
Working Locally Thinking Globally: Theoretical Guarantees for Convolutional Sparse Coding
2017128 citationsauthor #3
Supplementary Material for the Manuscript : Large Inpainting of Face Images with Trainlets
20160 citationsauthor #2
The Little Engine That Could: Regularization by Denoising (RED)
2016921 citationsauthor #2
Structure-aware classification using supervised dictionary learning
201626 citationsauthor #2
Dual Graph Regularized Dictionary Learning
201695 citationsauthor #2
Image Generation Using a Sparsity Model
20160 citationsauthor #2
Graph-constrained supervised dictionary learning for multi-label classification
20167 citationsauthor #2
Trainlets: Dictionary Learning in High Dimensions
2016106 citationsauthor #4
Image restoration via successive compression
20164 citationsauthor #3

TIMELINE

1994 4 citations

1995 13 citations

1996 34 citations

1997 1,178 citations

1998 60 citations

1999 612 citations

2000 624 citations

2001 416 citations

2002 1,954 citations

2003 3,357 citations

2004 3,794 citations

2005 9,402 citations

2006 18,746 citations

2007 1,517 citations

2008 4,235 citations

2009 4,562 citations

2010 10,946 citations

2011 946 citations

2012 947 citations

2013 996 citations

2014 2,264 citations

2015 703 citations

2016 2,166 citations

2017 431 citations

2018 684 citations

2019 537 citations

2020 328 citations

2021 458 citations

2022 1,389 citations

2023 319 citations

Unknown 1,070 citations

Michael Elad

PROFILE

PAPERS

TIMELINE

COAUTHOR MAP

CONCEPT FOOTPRINT