Michael Elad - RankMe

332 papers A* 20A 5B 7C 2Misc 17Journal 234Unranked 42

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Analyzing and Guiding Zero-Shot Posterior Sampling in Diffusion Models. CoRR Roi Benita, Michael Elad, Joseph Keshet
2026	J	`jnl`	CRoCoDiL: Continuous and Robust Conditioned Diffusion for Language. CoRR Roy Uziel, Omer Belhasin, Itay Levi, Akhiad Bercovich, Ran El-Yaniv, Ran Zilberstein, Michael Elad
2026	J	`jnl`	Learn from Your Mistakes: Self-Correcting Masked Diffusion Models. CoRR Yair Schiff, Omer Belhasin, Roy Uziel, Guanghan Wang, Marianne Arriola, Gilad Turok, Michael Elad, Volodymyr Kuleshov
2025	J	`jnl`	Advancing Image Classification with Discrete Diffusion Classification Modeling. CoRR Omer Belhasin, Shelly Golan, Ran El-Yaniv, Michael Elad
2025	A	`conf`	Anchored Diffusion for Video Face Reenactment. WACV Idan Kligvasser, Regev Cohen, George Leifman, Ehud Rivlin, Michael Elad
2025	A	`conf`	Class-Conditioned Transformation for Enhanced Robust Image Classification. WACV Tsachi Blau, Roy Ganz, Chaim Baskin, Michael Elad, Alex M. Bronstein
2025	A*	`conf`	Compressed Image Generation with Denoising Diffusion Codebook Models. ICML Guy Ohayon, Hila Manor, Tomer Michaeli, Michael Elad
2025	J	`jnl`	Compressed Image Generation with Denoising Diffusion Codebook Models. CoRR Guy Ohayon, Hila Manor, Tomer Michaeli, Michael Elad
2025	J	`jnl`	Designing Scheduling for Diffusion Models via Spectral Analysis. CoRR Roi Benita, Michael Elad, Joseph Keshet
2025	A*	`conf`	ELAD: Blind Face Restoration using Expectation-based Likelihood Approximation and Diffusion Prior. SIGGRAPH Asia Sean Man, Guy Ohayon, Ron Raphaeli, Matan Kleiner, Michael Elad
2025	J	`jnl`	InvFussion: Bridging Supervised and Zero-shot Diffusion for Inverse Problems. CoRR Noam Elata, Hyungjin Chung, Jong Chul Ye, Tomer Michaeli, Michael Elad
2025	J	`jnl`	PSC: Posterior Sampling-Based Compression. Trans. Mach. Learn. Res. Noam Elata, Tomer Michaeli, Michael Elad
2025	A*	`conf`	Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration. ICLR Guy Ohayon, Tomer Michaeli, Michael Elad
2025	J	`jnl`	Proxies for Distortion and Consistency with Applications for Real-World Image Restoration. CoRR Sean Man, Guy Ohayon, Ron Raphaeli, Michael Elad
2025	J	`jnl`	SILO: Solving Inverse Problems with Latent Operators. CoRR Ron Raphaeli, Sean Man, Michael Elad
2025	J	`jnl`	Text-to-Image Generation Via Energy-Based CLIP. Trans. Mach. Learn. Res. Roy Ganz, Michael Elad
2025	J	`jnl`	Turbo-DDCM: Fast and Flexible Zero-Shot Diffusion-Based Image Compression. CoRR Amit Vaisman, Guy Ohayon, Hila Manor, Michael Elad, Tomer Michaeli
2024	—	`conf`	Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling. ECCV (78) Noam Elata, Tomer Michaeli, Michael Elad
2024	J	`jnl`	Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling. CoRR Noam Elata, Tomer Michaeli, Michael Elad
2024	J	`jnl`	Anchored Diffusion for Video Face Reenactment. CoRR Idan Kligvasser, Regev Cohen, George Leifman, Ehud Rivlin, Michael Elad
2024	A	`conf`	CLIPAG: Towards Generator-Free Text-to-Image Generation. WACV Roy Ganz, Michael Elad
2024	A*	`conf`	DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform Generation. ICLR Roi Benita, Michael Elad, Joseph Keshet
2024	A*	`conf`	Early Time Classification with Accumulated Accuracy Gap Control. ICML Liran Ringel, Regev Cohen, Daniel Freedman, Michael Elad, Yaniv Romano
2024	J	`jnl`	Early Time Classification with Accumulated Accuracy Gap Control. CoRR Liran Ringel, Regev Cohen, Daniel Freedman, Michael Elad, Yaniv Romano
2024	A*	`conf`	Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based Discrimination. NeurIPS Shelly Golan, Roy Ganz, Michael Elad
2024	J	`jnl`	Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based Discrimination. CoRR Shelly Golan, Roy Ganz, Michael Elad
2024	J	`jnl`	GSURE-Based Diffusion Model Training with Corrupted Data. Trans. Mach. Learn. Res. Bahjat Kawar, Noam Elata, Tomer Michaeli, Michael Elad
2024	A	`conf`	Nested Diffusion Processes for Anytime Image Generation. WACV Noam Elata, Bahjat Kawar, Tomer Michaeli, Michael Elad
2024	A*	`conf`	Perceptual Fairness in Image Restoration. NeurIPS Guy Ohayon, Michael Elad, Tomer Michaeli
2024	J	`jnl`	Perceptual Fairness in Image Restoration. CoRR Guy Ohayon, Michael Elad, Tomer Michaeli
2024	J	`jnl`	Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration. CoRR Guy Ohayon, Tomer Michaeli, Michael Elad
2024	J	`jnl`	Principal Uncertainty Quantification With Spatial Correlation for Image Restoration Problems. IEEE Trans. Pattern Anal. Mach. Intell. Omer Belhasin, Yaniv Romano, Daniel Freedman, Ehud Rivlin, Michael Elad
2024	J	`jnl`	Text-to-Image Generation Via Energy-Based CLIP. CoRR Roy Ganz, Michael Elad
2024	A*	`conf`	The Perception-Robustness Tradeoff in Deterministic Image Restoration. ICML Guy Ohayon, Tomer Michaeli, Michael Elad
2024	J	`jnl`	Uncertainty-Aware PPG-2-ECG for Enhanced Cardiovascular Diagnosis using Diffusion Models. CoRR Omer Belhasin, Idan Kligvasser, George Leifman, Regev Cohen, Erin Rainaldi, Li-Fang Cheng, Nishant Verma, Paul Varghese, Ehud Rivlin, Michael Elad
2024	A	`conf`	Weakly-Supervised Representation Learning for Video Alignment and Analysis. WACV Guy Bar-Shalom, George Leifman, Michael Elad
2024	J	`jnl`	Zero-Shot Image Compression with Diffusion-Based Posterior Sampling. CoRR Noam Elata, Tomer Michaeli, Michael Elad
2023	J	`jnl`	BIGRoC: Boosting Image Generation via a Robust Classifier. Trans. Mach. Learn. Res. Roy Ganz, Michael Elad
2023	J	`jnl`	CLIPAG: Towards Generator-Free Text-to-Image Generation. CoRR Roy Ganz, Michael Elad
2023	J	`jnl`	Classifier Robustness Enhancement Via Test-Time Transformation. CoRR Tsachi Blau, Roy Ganz, Chaim Baskin, Michael Elad, Alexander M. Bronstein
2023	—	`conf`	Colonoscopy Coverage Revisited: Identifying Scanning Gaps in Real-Time. CaPTion@MICCAI George Leifman, Idan Kligvasser, Roman Goldenberg, Ehud Rivlin, Michael Elad
2023	J	`jnl`	Colonoscopy Coverage Revisited: Identifying Scanning Gaps in Real-Time. CoRR George Leifman, Idan Kligvasser, Roman Goldenberg, Michael Elad, Ehud Rivlin
2023	—	`conf`	Complex-Valued Retrievals From Noisy Images Using Diffusion Models. ICCV (Workshops) Nadav Torem, Roi Ronen, Yoav Y. Schechner, Michael Elad
2023	—	`conf`	Conformal Prediction Masks: Visualizing Uncertainty in Medical Imaging. TML4H Gilad Kutiel, Regev Cohen, Michael Elad, Daniel Freedman, Ehud Rivlin
2023	A*	`conf`	Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image Restoration. NeurIPS Theo Adrai, Guy Ohayon, Michael Elad, Tomer Michaeli
2023	J	`jnl`	Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image Restoration. CoRR Theo Adrai, Guy Ohayon, Tomer Michaeli, Michael Elad
2023	J	`jnl`	DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform Generation. CoRR Roi Benita, Michael Elad, Joseph Keshet
2023	—	`conf`	Diffusion Models for Generative Histopathology. DGM4MICCAI Niranjan Sridhar, Michael Elad, Carson McNeil, Ehud Rivlin, Daniel Freedman
2023	A*	`conf`	Do Perceptually Aligned Gradients Imply Robustness? ICML Roy Ganz, Bahjat Kawar, Michael Elad
2023	J	`jnl`	Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance. Trans. Mach. Learn. Res. Bahjat Kawar, Roy Ganz, Michael Elad
2023	J	`jnl`	GSURE-Based Diffusion Model Training with Corrupted Data. CoRR Bahjat Kawar, Noam Elata, Tomer Michaeli, Michael Elad
2023	—	`conf`	High-Perceptual Quality JPEG Decoding via Posterior Sampling. CVPR Workshops Sean Man, Guy Ohayon, Theo Adrai, Michael Elad
2023	J	`jnl`	Image Denoising: The Deep Learning Revolution and Beyond - A Survey Paper -. CoRR Michael Elad, Bahjat Kawar, Gregory Vaksman
2023	J	`jnl`	Image Denoising: The Deep Learning Revolution and Beyond - A Survey Paper. SIAM J. Imaging Sci. Michael Elad, Bahjat Kawar, Gregory Vaksman
2023	J	`jnl`	Nested Diffusion Processes for Anytime Image Generation. CoRR Noam Elata, Bahjat Kawar, Tomer Michaeli, Michael Elad
2023	A*	`conf`	PatchCraft Self-Supervised Training for Correlated Image Denoising. CVPR Gregory Vaksman, Michael Elad
2023	J	`jnl`	Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems. CoRR Omer Belhasin, Yaniv Romano, Daniel Freedman, Ehud Rivlin, Michael Elad
2023	A*	`conf`	Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality. ICML Guy Ohayon, Theo Joseph Adrai, Michael Elad, Tomer Michaeli
2023	—	`conf`	Semi-supervised Quality Evaluation of Colonoscopy Procedures. ICCV (Workshops) Idan Kligvasser, George Leifman, Roman Goldenberg, Ehud Rivlin, Michael Elad
2023	J	`jnl`	Semi-supervised Quality Evaluation of Colonoscopy Procedures. CoRR Idan Kligvasser, George Leifman, Roman Goldenberg, Ehud Rivlin, Michael Elad
2023	J	`jnl`	The Perception-Robustness Tradeoff in Deterministic Image Restoration. CoRR Guy Ohayon, Tomer Michaeli, Michael Elad
2023	J	`jnl`	Weakly-supervised Representation Learning for Video Alignment and Analysis. CoRR Guy Bar-Shalom, George Leifman, Michael Elad, Ehud Rivlin
2022	J	`jnl`	Ada-LISTA: Learned Solvers Adaptive to Varying Models. IEEE Trans. Pattern Anal. Mach. Intell. Aviad Aberdam, Alona Golts, Michael Elad
2022	A*	`conf`	Denoising Diffusion Restoration Models. NeurIPS Bahjat Kawar, Michael Elad, Stefano Ermon, Jiaming Song
2022	J	`jnl`	Denoising Diffusion Restoration Models. CoRR Bahjat Kawar, Michael Elad, Stefano Ermon, Jiaming Song
2022	J	`jnl`	Do Perceptually Aligned Gradients Imply Adversarial Robustness? CoRR Roy Ganz, Bahjat Kawar, Michael Elad
2022	J	`jnl`	Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance. CoRR Bahjat Kawar, Roy Ganz, Michael Elad
2022	J	`jnl`	High-Perceptual Quality JPEG Decoding via Posterior Sampling. CoRR Sean Man, Guy Ohayon, Theo Adrai, Michael Elad
2022	J	`jnl`	JPEG Artifact Correction using Denoising Diffusion Restoration Models. CoRR Bahjat Kawar, Jiaming Song, Stefano Ermon, Michael Elad
2022	J	`jnl`	Patch-Craft Self-Supervised Training for Correlated Image Denoising. CoRR Gregory Vaksman, Michael Elad
2022	J	`jnl`	Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality. CoRR Guy Ohayon, Theo Adrai, Michael Elad, Tomer Michaeli
2022	—	`conf`	Simultaneous Detection and Classification of Partially and Weakly Supervised Cells. ECCV Workshops (3) Alona Golts, Ido Livneh, Yaniv Zohar, Aaron Ciechanover, Michael Elad
2022	J	`jnl`	Threat Model-Agnostic Adversarial Defense using Diffusion Models. CoRR Tsachi Blau, Roy Ganz, Bahjat Kawar, Alex M. Bronstein, Michael Elad
2022	J	`jnl`	Towards A Most Probable Recovery in Optical Imaging. CoRR Nadav Torem, Roi Ronen, Yoav Y. Schechner, Michael Elad
2022	J	`jnl`	What's Behind the Mask: Estimating Uncertainty in Image-to-Image Problems. CoRR Gilad Kutiel, Regev Cohen, Michael Elad, Daniel Freedman
2021	J	`jnl`	BIGRoC: Boosting Image Generation via a Robust Classifier. CoRR Roy Ganz, Michael Elad
2021	J	`jnl`	Better Compression With Deep Pre-Editing. IEEE Trans. Image Process. Hossein Talebi Esfandarani, Damien Kelly, Xiyang Luo, Ignacio Garcia-Dorado, Feng Yang, Peyman Milanfar, Michael Elad
2021	J	`jnl`	Deep Energy: Task Driven Training of Deep Neural Networks. IEEE J. Sel. Top. Signal Process. Alona Golts, Daniel Freedman, Michael Elad
2021	J	`jnl`	Deep K-SVD Denoising. IEEE Trans. Image Process. Meyer Scetbon, Michael Elad, Peyman Milanfar
2021	—	`conf`	High Perceptual Quality Image Denoising with a Posterior Sampling CGAN. ICCVW Guy Ohayon, Theo Adrai, Gregory Vaksman, Michael Elad, Peyman Milanfar
2021	J	`jnl`	High Perceptual Quality Image Denoising with a Posterior Sampling CGAN. CoRR Guy Ohayon, Theo Adrai, Gregory Vaksman, Michael Elad, Peyman Milanfar
2021	—	`ed.`	Image and Graphics - 11th International Conference, ICIG 2021, Haikou, China, August 6-8, 2021, Proceedings, Part I ICIG (1) Yuxin Peng, Shi-Min Hu, Moncef Gabbouj, Kun Zhou, Michael Elad, Kun Xu
2021	—	`ed.`	Image and Graphics - 11th International Conference, ICIG 2021, Haikou, China, August 6-8, 2021, Proceedings, Part II ICIG (2) Yuxin Peng, Shi-Min Hu, Moncef Gabbouj, Kun Zhou, Michael Elad, Kun Xu
2021	—	`ed.`	Image and Graphics - 11th International Conference, ICIG 2021, Haikou, China, August 6-8, 2021, Proceedings, Part III ICIG (3) Yuxin Peng, Shi-Min Hu, Moncef Gabbouj, Kun Zhou, Michael Elad, Kun Xu
2021	J	`jnl`	Improved Image Generation via Sparse Modeling. CoRR Roy Ganz, Michael Elad
2021	J	`jnl`	Learned Greedy Method (LGM): A novel neural architecture for sparse coding and beyond. J. Vis. Commun. Image Represent. Rajaei Khatib, Dror Simon, Michael Elad
2021	A*	`conf`	Patch Craft: Video Denoising by Deep Modeling and Patch Matching. ICCV Gregory Vaksman, Michael Elad, Peyman Milanfar
2021	J	`jnl`	Patch Craft: Video Denoising by Deep Modeling and Patch Matching. CoRR Gregory Vaksman, Michael Elad, Peyman Milanfar
2021	J	`jnl`	Regularization by Denoising via Fixed-Point Projection (RED-PRO). SIAM J. Imaging Sci. Regev Cohen, Michael Elad, Peyman Milanfar
2021	A*	`conf`	SNIPS: Solving Noisy Inverse Problems Stochastically. NeurIPS Bahjat Kawar, Gregory Vaksman, Michael Elad
2021	J	`jnl`	SNIPS: Solving Noisy Inverse Problems Stochastically. CoRR Bahjat Kawar, Gregory Vaksman, Michael Elad
2021	—	`conf`	Stochastic Image Denoising by Sampling from the Posterior Distribution. ICCVW Bahjat Kawar, Gregory Vaksman, Michael Elad
2021	J	`jnl`	Stochastic Image Denoising by Sampling from the Posterior Distribution. CoRR Bahjat Kawar, Gregory Vaksman, Michael Elad
2021	B	`conf`	The Rate-Distortion-Accuracy Tradeoff: JPEG Case Study. DCC Xiyang Luo, Hossein Talebi, Feng Yang, Michael Elad, Peyman Milanfar
2020	J	`jnl`	Ada-LISTA: Learned Solvers Adaptive to Varying Models. CoRR Aviad Aberdam, Alona Golts, Michael Elad
2020	J	`jnl`	Adversarial Noise Attacks of Deep Learning Architectures: Stability Analysis via Sparse-Modeled Signals. J. Math. Imaging Vis. Yaniv Romano, Aviad Aberdam, Jeremias Sulam, Michael Elad
2020	J	`jnl`	Better Compression with Deep Pre-Editing. CoRR Hossein Talebi, Damien Kelly, Xiyang Luo, Ignacio Garcia-Dorado, Feng Yang, Peyman Milanfar, Michael Elad
2020	—	`conf`	LIDIA: Lightweight Learned Image Denoising with Instance Adaptation. CVPR Workshops Gregory Vaksman, Michael Elad, Peyman Milanfar
2020	J	`jnl`	Learned Greedy Method (LGM): A Novel Neural Architecture for Sparse Coding and Beyond. CoRR Rajaei Khatib, Dror Simon, Michael Elad
2020	J	`jnl`	On Multi-Layer Basis Pursuit, Efficient Algorithms and Convolutional Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Jeremias Sulam, Aviad Aberdam, Amir Beck, Michael Elad
2020	J	`jnl`	Regularization by Denoising via Fixed-Point Projection (RED-PRO). CoRR Regev Cohen, Michael Elad, Peyman Milanfar
2020	J	`jnl`	The Rate-Distortion-Accuracy Tradeoff: JPEG Case Study. CoRR Xiyang Luo, Hossein Talebi, Feng Yang, Michael Elad, Peyman Milanfar
2020	J	`jnl`	Unsupervised Single Image Dehazing Using Dark Channel Prior Loss. IEEE Trans. Image Process. Alona Golts, Daniel Freedman, Michael Elad
2020	J	`jnl`	Variations on the Convolutional Sparse Coding Model. IEEE Trans. Signal Process. Ives Rey-Otero, Jeremias Sulam, Michael Elad
2020	J	`jnl`	When and How Can Deep Generative Models be Inverted? CoRR Aviad Aberdam, Dror Simon, Michael Elad
2019	A*	`conf`	A Local Block Coordinate Descent Algorithm for the CSC Model. CVPR Ev Zisselman, Jeremias Sulam, Michael Elad
2019	J	`jnl`	Acceleration of RED via vector extrapolation. J. Vis. Commun. Image Represent. Tao Hong, Yaniv Romano, Michael Elad
2019	J	`jnl`	Deep K-SVD Denoising. CoRR Meyer Scetbon, Michael Elad, Peyman Milanfar
2019	J	`jnl`	DeepRED: Deep Image Prior Powered by RED. CoRR Gary Mataev, Michael Elad, Peyman Milanfar
2019	J	`jnl`	Finding GEMS: Multi-Scale Dictionaries For High-Dimensional Graph Signals. IEEE Trans. Signal Process. Yael Yankelevsky, Michael Elad
2019	J	`jnl`	Low-Weight and Learnable Image Denoising. CoRR Gregory Vaksman, Michael Elad, Peyman Milanfar
2019	J	`jnl`	MMSE Approximation For Sparse Coding Algorithms Using Stochastic Resonance. IEEE Trans. Signal Process. Dror Simon, Jeremias Sulam, Yaniv Romano, Yue M. Lu, Michael Elad
2019	J	`jnl`	Multi-Layer Sparse Coding: The Holistic Way. SIAM J. Math. Data Sci. Aviad Aberdam, Jeremias Sulam, Michael Elad
2019	A*	`conf`	Rethinking the CSC Model for Natural Images. NeurIPS Dror Simon, Michael Elad
2019	J	`jnl`	Rethinking the CSC Model for Natural Images. CoRR Dror Simon, Michael Elad
2019	—	`conf`	SOS Boosting for Image Deblurring Algorithms. EUSIPCO Shahar Romem Peled, Yaniv Romano, Michael Elad
2019	J	`jnl`	Unified Single-Image and Video Super-Resolution via Denoising Algorithms. IEEE Trans. Image Process. Alon Brifman, Yaniv Romano, Michael Elad
2018	J	`jnl`	A Local Block Coordinate Descent Algorithm for the Convolutional Sparse Coding Model. CoRR Ev Zisselman, Jeremias Sulam, Michael Elad
2018	J	`jnl`	Acceleration of RED via Vector Extrapolation. CoRR Tao Hong, Yaniv Romano, Michael Elad
2018	J	`jnl`	Classification Stability for Sparse-Modeled Signals. CoRR Yaniv Romano, Michael Elad
2018	B	`conf`	Compression for Multiple Reconstructions. ICIP Yehuda Dar, Michael Elad, Alfred M. Bruckstein
2018	J	`jnl`	Compression for Multiple Reconstructions. CoRR Yehuda Dar, Michael Elad, Alfred M. Bruckstein
2018	J	`jnl`	Deep Energy: Using Energy Functions for Unsupervised Training of DNNs. CoRR Alona Golts, Daniel Freedman, Michael Elad
2018	Misc	`conf`	Dictionary Learning for High Dimensional Graph Signals. ICASSP Yael Yankelevsky, Michael Elad
2018	J	`jnl`	Example-Based Image Synthesis via Randomized Patch-Matching. IEEE Trans. Image Process. Yi Ren, Yaniv Romano, Michael Elad
2018	J	`jnl`	Finding GEMS: Multi-Scale Dictionaries for High-Dimensional Graph Signals. CoRR Yael Yankelevsky, Michael Elad
2018	J	`jnl`	Improving Pursuit Algorithms Using Stochastic Resonance. CoRR Dror Simon, Jeremias Sulam, Yaniv Romano, Yue M. Lu, Michael Elad
2018	J	`jnl`	Multi Layer Sparse Coding: the Holistic Way. CoRR Aviad Aberdam, Jeremias Sulam, Michael Elad
2018	J	`jnl`	Multilayer Convolutional Sparse Modeling: Pursuit and Dictionary Learning. IEEE Trans. Signal Process. Jeremias Sulam, Vardan Papyan, Yaniv Romano, Michael Elad
2018	J	`jnl`	On Multi-Layer Basis Pursuit, Efficient Algorithms and Convolutional Neural Networks. CoRR Jeremias Sulam, Aviad Aberdam, Michael Elad
2018	J	`jnl`	Optimized Pre-Compensating Compression. IEEE Trans. Image Process. Yehuda Dar, Michael Elad, Alfred M. Bruckstein
2018	Misc	`conf`	Projecting on to the Multi-Layer Convolutional Sparse Coding Model. ICASSP Jeremias Sulam, Vardan Papyan, Yaniv Romano, Michael Elad
2018	Misc	`conf`	RED-UCATION: A Novel CNN Architecture Based on Denoising Nonlinearities. ICASSP Yaniv Romano, Michael Elad, Peyman Milanfar
2018	J	`jnl`	Restoration by Compression. IEEE Trans. Signal Process. Yehuda Dar, Michael Elad, Alfred M. Bruckstein
2018	B	`conf`	System-Aware Compression. ISIT Yehuda Dar, Michael Elad, Alfred M. Bruckstein
2018	J	`jnl`	System-Aware Compression. CoRR Yehuda Dar, Michael Elad, Alfred M. Bruckstein
2018	J	`jnl`	Theoretical Foundations of Deep Learning via Sparse Representations: A Multilayer Sparse Model and Its Connection to Convolutional Neural Networks. IEEE Signal Process. Mag. Vardan Papyan, Yaniv Romano, Jeremias Sulam, Michael Elad
2018	J	`jnl`	Unsupervised Single Image Dehazing Using Dark Channel Prior Loss. CoRR Alona Golts, Daniel Freedman, Michael Elad
2017	A*	`conf`	Convolutional Dictionary Learning via Local Processing. ICCV Vardan Papyan, Yaniv Romano, Michael Elad, Jeremias Sulam
2017	J	`jnl`	Convolutional Dictionary Learning via Local Processing. CoRR Vardan Papyan, Yaniv Romano, Jeremias Sulam, Michael Elad
2017	J	`jnl`	Convolutional Neural Networks Analyzed via Convolutional Sparse Coding. J. Mach. Learn. Res. Vardan Papyan, Yaniv Romano, Michael Elad
2017	J	`jnl`	Multi-Layer Convolutional Sparse Modeling: Pursuit and Dictionary Learning. CoRR Jeremias Sulam, Vardan Papyan, Yaniv Romano, Michael Elad
2017	J	`jnl`	On the Global-Local Dichotomy in Sparsity Modeling. CoRR Dmitry Batenkov, Yaniv Romano, Michael Elad
2017	J	`jnl`	Optimized Pre-Compensating Compression. CoRR Yehuda Dar, Michael Elad, Alfred M. Bruckstein
2017	J	`jnl`	Restoration by Compression. CoRR Yehuda Dar, Michael Elad, Alfred M. Bruckstein
2017	Misc	`conf`	Structure-aware classification using supervised dictionary learning. ICASSP Yael Yankelevsky, Michael Elad
2017	J	`jnl`	Style Transfer Via Texture Synthesis. IEEE Trans. Image Process. Michael Elad, Peyman Milanfar
2017	J	`jnl`	The Little Engine That Could: Regularization by Denoising (RED). SIAM J. Imaging Sci. Yaniv Romano, Michael Elad, Peyman Milanfar
2017	J	`jnl`	Working Locally Thinking Globally: Theoretical Guarantees for Convolutional Sparse Coding. CoRR Vardan Papyan, Jeremias Sulam, Michael Elad
2017	J	`jnl`	Working Locally Thinking Globally: Theoretical Guarantees for Convolutional Sparse Coding. IEEE Trans. Signal Process. Vardan Papyan, Jeremias Sulam, Michael Elad
2016	J	`jnl`	A Deep Learning Approach to Block-based Compressed Sensing of Images. CoRR Amir Adler, David Boublil, Michael Elad, Michael Zibulevsky
2016	J	`jnl`	Compressed Learning: A Deep Neural Network Approach. CoRR Amir Adler, Michael Elad, Michael Zibulevsky
2016	J	`jnl`	Con-Patch: When a Patch Meets Its Context. IEEE Trans. Image Process. Yaniv Romano, Michael Elad
2016	J	`jnl`	Con-Patch: When a Patch Meets its Context. CoRR Yaniv Romano, Michael Elad
2016	J	`jnl`	Convolutional Neural Networks Analyzed via Convolutional Sparse Coding. CoRR Vardan Papyan, Yaniv Romano, Michael Elad
2016	J	`jnl`	Dual Graph Regularized Dictionary Learning. IEEE Trans. Signal Inf. Process. over Networks Yael Yankelevsky, Michael Elad
2016	J	`jnl`	Example-Based Image Synthesis via Randomized Patch-Matching. CoRR Yi Ren, Yaniv Romano, Michael Elad
2016	C	`conf`	Image restoration via successive compression. PCS Yehuda Dar, Alfred M. Bruckstein, Michael Elad
2016	J	`jnl`	Large Inpainting of Face Images With Trainlets. IEEE Signal Process. Lett. Jeremias Sulam, Michael Elad
2016	J	`jnl`	Linearized Kernel Dictionary Learning. IEEE J. Sel. Top. Signal Process. Alona Golts, Michael Elad
2016	J	`jnl`	Multi-Scale Patch-Based Image Restoration. IEEE Trans. Image Process. Vardan Papyan, Michael Elad
2016	J	`jnl`	Patch Ordering as a Regularization for Inverse Problems in Image Processing. SIAM J. Imaging Sci. Gregory Vaksman, Michael Zibulevsky, Michael Elad
2016	J	`jnl`	Patch-Ordering as a Regularization for Inverse Problems in Image Processing. CoRR Gregory Vaksman, Michael Zibulevsky, Michael Elad
2016	J	`jnl`	Poisson inverse problems by the Plug-and-Play scheme. J. Vis. Commun. Image Represent. Arie Rond, Raja Giryes, Michael Elad
2016	J	`jnl`	Postprocessing of Compressed Images via Sequential Denoising. IEEE Trans. Image Process. Yehuda Dar, Alfred M. Bruckstein, Michael Elad, Raja Giryes
2016	J	`jnl`	Structure-Aware Classification using Supervised Dictionary Learning. CoRR Yael Yankelevsky, Michael Elad
2016	J	`jnl`	Style-Transfer via Texture-Synthesis. CoRR Michael Elad, Peyman Milanfar
2016	J	`jnl`	The Little Engine that Could: Regularization by Denoising (RED). CoRR Yaniv Romano, Michael Elad, Peyman Milanfar
2016	J	`jnl`	Trainlets: Dictionary Learning in High Dimensions. CoRR Jeremias Sulam, Boaz Ophir, Michael Zibulevsky, Michael Elad
2016	J	`jnl`	Trainlets: Dictionary Learning in High Dimensions. IEEE Trans. Signal Process. Jeremias Sulam, Boaz Ophir, Michael Zibulevsky, Michael Elad
2016	B	`conf`	Turning a denoiser into a super-resolver using plug and play priors. ICIP Alon Brifman, Yaniv Romano, Michael Elad
2016	J	`jnl`	Working Locally Thinking Globally - Part I: Theoretical Guarantees for Convolutional Sparse Coding. CoRR Vardan Papyan, Jeremias Sulam, Michael Elad
2016	J	`jnl`	Working Locally Thinking Globally - Part II: Stability and Algorithms for Convolutional Sparse Coding. CoRR Vardan Papyan, Jeremias Sulam, Michael Elad
2015	J	`jnl`	Bi-l J. Vis. Commun. Image Represent. Wen-Ze Shao, Haibo Li, Michael Elad
2015	J	`jnl`	Boosting of Image Denoising Algorithms. SIAM J. Imaging Sci. Yaniv Romano, Michael Elad
2015	J	`jnl`	Clutter Mitigation in Echocardiography Using Sparse Signal Separation. Int. J. Biomed. Imaging Javier S. Turek, Michael Elad, Irad Yavneh
2015	Misc	`conf`	Fusion of ultrasound harmonic imaging with clutter removal using sparse signal separation. ICASSP Javier S. Turek, Jeremias Sulam, Michael Elad, Irad Yavneh
2015	J	`jnl`	Guest Editorial: Sparse Coding. Int. J. Comput. Vis. Julien Mairal, Michael Elad, Francis R. Bach
2015	J	`jnl`	Linear-Time Subspace Clustering via Bipartite Graph Modeling. IEEE Trans. Neural Networks Learn. Syst. Amir Adler, Michael Elad, Yacov Hel-Or
2015	J	`jnl`	Linearized Kernel Dictionary Learning. CoRR Alona Golts, Michael Elad
2015	Misc	`conf`	Patch-disagreement as away to improve K-SVD denoising. ICASSP Yaniv Romano, Michael Elad
2015	J	`jnl`	Poisson Inverse Problems by the Plug-and-Play scheme. CoRR Arie Rond, Raja Giryes, Michael Elad
2015	J	`jnl`	Postprocessing of Compressed Images via Sequential Denoising. CoRR Yehuda Dar, Alfred M. Bruckstein, Michael Elad, Raja Giryes
2015	—	`conf`	Reconstruction of highly under-sampled dynamic MRI using sparse representation of 1D temporal snippets. ISBI Esben Plenge, Mitchell A. Cooper, Martin R. Prince, Yi Wang, Pascal Spincemaille, Michael Elad
2015	J	`jnl`	SOS Boosting of Image Denoising Algorithms. CoRR Yaniv Romano, Michael Elad
2015	J	`jnl`	Self-content-based audio inpainting. Signal Process. Yuval Bahat, Yoav Y. Schechner, Michael Elad
2015	—	`conf`	Simple, Accurate, and Robust Nonparametric Blind Super-Resolution. ICIG (3) Wenze Shao, Michael Elad
2015	J	`jnl`	Simple, Accurate, and Robust Nonparametric Blind Super-Resolution. CoRR Wen-Ze Shao, Michael Elad
2015	J	`jnl`	Sparse Coding with Anomaly Detection. J. Signal Process. Syst. Amir Adler, Michael Elad, Yacov Hel-Or, Ehud Rivlin
2015	J	`jnl`	Sparsity Based Methods for Overparameterized Variational Problems. SIAM J. Imaging Sci. Raja Giryes, Michael Elad, Alfred M. Bruckstein
2015	J	`jnl`	Spatially-Adaptive Reconstruction in Computed Tomography Using Neural Networks. IEEE Trans. Medical Imaging David Boublil, Michael Elad, Joseph Shtok, Michael Zibulevsky
2014	J	`jnl`	A Statistical Prediction Model Based on Sparse Representations for Single Image Super-Resolution. IEEE Trans. Image Process. Tomer Peleg, Michael Elad
2014	J	`jnl`	Bi-l0-l2-Norm Regularization for Blind Motion Deblurring. CoRR Wen-Ze Shao, Haibo Li, Michael Elad
2014	J	`jnl`	Dictionary Learning for Analysis-Synthesis Thresholding. IEEE Trans. Signal Process. Ron Rubinstein, Michael Elad
2014	—	`conf`	Expected Patch Log Likelihood with a Sparse Prior. EMMCVPR Jeremias Sulam, Michael Elad
2014	J	`jnl`	Facial Image Compression using Patch-Ordering-Based Adaptive Wavelet Transform. IEEE Signal Process. Lett. Idan Ram, Israel Cohen, Michael Elad
2014	B	`conf`	Image denoising through multi-scale learnt dictionaries. ICIP Jeremias Sulam, Boaz Ophir, Michael Elad
2014	J	`jnl`	On MAP and MMSE estimators for the co-sparse analysis model. Digit. Signal Process. Javier Turek, Irad Yavneh, Michael Elad
2014	J	`jnl`	Patch-Ordering-Based Wavelet Frame and Its Use in Inverse Problems. IEEE Trans. Image Process. Idan Ram, Israel Cohen, Michael Elad
2014	J	`jnl`	Single Image Interpolation Via Adaptive Nonlocal Sparsity-Based Modeling. IEEE Trans. Image Process. Yaniv Romano, Matan Protter, Michael Elad
2014	J	`jnl`	Sparsity Based Methods for Overparametrized Variational Problems. CoRR Raja Giryes, Michael Elad, Alfred M. Bruckstein
2014	B	`conf`	Sparsity based poisson inpainting. ICIP Raja Giryes, Michael Elad
2014	J	`jnl`	Sparsity-Based Poisson Denoising With Dictionary Learning. IEEE Trans. Image Process. Raja Giryes, Michael Elad
2013	J	`jnl`	Analysis K-SVD: A Dictionary-Learning Algorithm for the Analysis Sparse Model. IEEE Trans. Signal Process. Ron Rubinstein, Tomer Peleg, Michael Elad
2013	Misc	`conf`	Can we allow linear dependencies in the dictionary in the sparse synthesis framework? ICASSP Raja Giryes, Michael Elad
2013	J	`jnl`	Can we allow linear dependencies in the dictionary in the sparse synthesis framework? CoRR Raja Giryes, Michael Elad
2013	J	`jnl`	Image Processing Using Smooth Ordering of its Patches. IEEE Trans. Image Process. Idan Ram, Michael Elad, Israel Cohen
2013	Misc	`conf`	Image denoising using NL-means via smooth patch ordering. ICASSP Idan Ram, Michael Elad, Israel Cohen
2013	J	`jnl`	Improving Dictionary Learning: Multiple Dictionary Updates and Coefficient Reuse. IEEE Signal Process. Lett. Leslie N. Smith, Michael Elad
2013	B	`conf`	Improving K-SVD denoising by post-processing its method-noise. ICIP Yaniv Romano, Michael Elad
2013	J	`jnl`	Learned Shrinkage Approach for Low-Dose Reconstruction in Computed Tomography. Int. J. Biomed. Imaging Joseph Shtok, Michael Elad, Michael Zibulevsky
2013	J	`jnl`	Performance Guarantees of the Thresholding Algorithm for the Cosparse Analysis Model. IEEE Trans. Inf. Theory Tomer Peleg, Michael Elad
2013	J	`jnl`	Probabilistic Subspace Clustering Via Sparse Representations. IEEE Signal Process. Lett. Amir Adler, Michael Elad, Yacov Hel-Or
2013	—	`conf`	Sparse coding with anomaly detection. MLSP Amir Adler, Michael Elad, Yacov Hel-Or, Ehud Rivlin
2013	J	`jnl`	Sparsity Based Poisson Denoising with Dictionary Learning. CoRR Raja Giryes, Michael Elad
2013	J	`jnl`	Spatially-Adaptive Reconstruction in Computed Tomography using Neural Networks. CoRR Joseph Shtok, Michael Zibulevsky, Michael Elad
2012	J	`jnl`	Audio Inpainting. IEEE Trans. Speech Audio Process. Amir Adler, Valentin Emiya, Maria G. Jafari, Michael Elad, Rémi Gribonval, Mark D. Plumbley
2012	—	`conf`	Cosamp and SP for the cosparse analysis model. EUSIPCO Raja Giryes, Michael Elad
2012	A*	`conf`	Example-based cross-modal denoising. CVPR Dana Segev, Yoav Y. Schechner, Michael Elad
2012	J	`jnl`	Exploiting Statistical Dependencies in Sparse Representations for Signal Recovery. IEEE Trans. Signal Process. Tomer Peleg, Yonina C. Eldar, Michael Elad
2012	J	`jnl`	Image Processing using Smooth Ordering of its Patches CoRR Idan Ram, Michael Elad, Israel Cohen
2012	Misc	`conf`	K-SVD dictionary-learning for the analysis sparse model. ICASSP Ron Rubinstein, Tomer Faktor, Michael Elad
2012	J	`jnl`	Performance Guarantees of the Thresholding Algorithm for the Co-Sparse Analysis Model CoRR Tomer Peleg, Michael Elad
2012	J	`jnl`	RIP-Based Near-Oracle Performance Guarantees for SP, CoSaMP, and IHT. IEEE Trans. Signal Process. Raja Giryes, Michael Elad
2012	J	`jnl`	Redundant Wavelets on Graphs and High Dimensional Data Clouds. IEEE Signal Process. Lett. Idan Ram, Michael Elad, Israel Cohen
2012	J	`jnl`	Sparse and Redundant Representation Modeling - What Next? IEEE Signal Process. Lett. Michael Elad
2011	Misc	`conf`	A constrained matching pursuit approach to audio declipping. ICASSP Amir Adler, Valentin Emiya, Maria G. Jafari, Michael Elad, Rémi Gribonval, Mark D. Plumbley
2011	Misc	`conf`	Cosparse analysis modeling - uniqueness and algorithms. ICASSP Sangnam Nam, Michael E. Davies, Michael Elad, Rémi Gribonval
2011	Misc	`conf`	Denoising of image patches via sparse representations with learned statistical dependencies. ICASSP Tomer Faktor, Yonina C. Eldar, Michael Elad
2011	—	`conf`	Denoising with greedy-like pursuit algorithms. EUSIPCO Raja Giryes, Michael Elad
2011	J	`jnl`	Generalized Tree-Based Wavelet Transform. IEEE Trans. Signal Process. Idan Ram, Michael Elad, Israel Cohen
2011	J	`jnl`	Introduction to the issue on Adaptive Sparse Representation of Data and Applications in Signal and Image Processing. IEEE J. Sel. Top. Signal Process. Jean-Luc Starck, Jalal Fadili, Michael Elad, Robert D. Nowak, Panagiotis Tsakalides
2011	J	`jnl`	Multi-Scale Dictionary Learning Using Wavelets. IEEE J. Sel. Top. Signal Process. Boaz Ophir, Michael Lustig, Michael Elad
2011	J	`jnl`	On MMSE and MAP Denoising Under Sparse Representation Modeling Over a Unitary Dictionary. IEEE Trans. Signal Process. Javier Turek, Irad Yavneh, Michael Elad
2011	—	`conf`	Recovery of cosparse signals with Greedy Analysis Pursuit in the presence of noise. CAMSAP Sangnam Nam, Michael E. Davies, Michael Elad, Rémi Gribonval
2011	J	`jnl`	Redundant Wavelets on Graphs and High Dimensional Data Clouds CoRR Idan Ram, Michael Elad, Israel Cohen
2011	—	`conf`	Sequential minimal eigenvalues - an approach to analysis dictionary learning. EUSIPCO Boaz Ophir, Michael Elad, Nancy Bertin, Mark D. Plumbley
2011	J	`jnl`	Sparse Representations and Efficient Sensing of Data (Dagstuhl Seminar 11051). Dagstuhl Reports Stephan Dahlke, Michael Elad, Yonina C. Eldar, Gitta Kutyniok, Gerd Teschke
2011	Misc	`conf`	Sparsity-based Sinogram Denoising for low-dose Computed Tomography. ICASSP Joseph Shtok, Michael Elad, Michael Zibulevsky
2011	J	`jnl`	The Cosparse Analysis Model and Algorithms CoRR Sangnam Nam, Mike E. Davies, Michael Elad, Rémi Gribonval
2010	—	`conf`	A Shrinkage Learning Approach for Single Image Super-Resolution with Overcomplete Representations. ECCV (2) Amir Adler, Yacov Hel-Or, Michael Elad
2010	Misc	`conf`	A weighted discriminative approach for image denoising with overcomplete representations. ICASSP Amir Adler, Yacov Hel-Or, Michael Elad
2010	J	`jnl`	Analysis of Basis Pursuit Via Capacity Sets CoRR Joseph Shtok, Michael Elad
2010	J	`jnl`	Applications of Sparse Representation and Compressive Sensing. Proc. IEEE Richard G. Baraniuk, Emmanuel J. Candès, Michael Elad, Yi Ma
2010	J	`jnl`	Closed-form MMSE estimation for signal denoising under sparse representation modeling over a unitary dictionary. IEEE Trans. Signal Process. Matan Protter, Irad Yavneh, Michael Elad
2010	Misc	`conf`	Coherence-based near-oracle performance guarantees for sparse estimation under Gaussian noise. ICASSP Zvika Ben-Haim, Yonina C. Eldar, Michael Elad
2010	J	`jnl`	Coherence-based performance guarantees for estimating a sparse vector under random noise. IEEE Trans. Signal Process. Zvika Ben-Haim, Yonina C. Eldar, Michael Elad
2010	J	`jnl`	Corrigendum: Example-Based Regularization Deployed to Super-Resolution Reconstruction of a Single Image. Comput. J. Michael Elad, Dmitry Datsenko
2010	J	`jnl`	Dictionaries for Sparse Representation Modeling. Proc. IEEE Ron Rubinstein, Alfred M. Bruckstein, Michael Elad
2010	J	`jnl`	Double sparsity: learning sparse dictionaries for sparse signal approximation. IEEE Trans. Signal Process. Ron Rubinstein, Michael Zibulevsky, Michael Elad
2010	J	`jnl`	Exploiting Statistical Dependencies in Sparse Representations for Signal Recovery CoRR Tomer Faktor, Yonina C. Eldar, Michael Elad
2010	J	`jnl`	Generalized Tree-Based Wavelet Transform CoRR Idan Ram, Michael Elad, Israel Cohen
2010	J	`jnl`	Iterative signal recovery from incomplete samples: technical perspective. Commun. ACM Michael Elad, Raja Giryes
2010	J	`jnl`	L1-L2 Optimization in Signal and Image Processing. IEEE Signal Process. Mag. Michael Zibulevsky, Michael Elad
2010	J	`jnl`	MCALab: Reproducible Research in Signal and Image Decomposition and Inpainting. Comput. Sci. Eng. Mohamed-Jalal Fadili, Jean-Luc Starck, Michael Elad, David L. Donoho
2010	J	`jnl`	On MMSE and MAP Denoising Under Sparse Representation Modeling Over a Unitary Dictionary CoRR Javier Turek, Irad Yavneh, Matan Protter, Michael Elad
2010	—	`conf`	On Single Image Scale-Up Using Sparse-Representations. Curves and Surfaces Roman Zeyde, Michael Elad, Matan Protter
2010	J	`jnl`	On the Role of Sparse and Redundant Representations in Image Processing. Proc. IEEE Michael Elad, Mário A. T. Figueiredo, Yi Ma
2010	—	`book`	Sparse and Redundant Representations - From Theory to Applications in Signal and Image Processing. Michael Elad
2010	J	`jnl`	Spatially-Adaptive Reconstruction in Computed Tomography Based on Statistical Learning CoRR Joseph Shtok, Michael Zibulevsky, Michael Elad
2010	J	`jnl`	The Projected GSURE for Automatic Parameter Tuning in Iterative Shrinkage Methods CoRR Raja Giryes, Michael Elad, Yonina C. Eldar
2009	J	`jnl`	A plurality of sparse representations is better than the sparsest one alone. IEEE Trans. Inf. Theory Michael Elad, Irad Yavneh
2009	—	`conf`	Direct Adaptive Algorithms for CT Reconstruction. ISBI Joseph Shtok, Michael Elad, Michael Zibulevsky
2009	J	`jnl`	Example-Based Regularization Deployed to Super-Resolution Reconstruction of a Single Image. Comput. J. Michael Elad, Dmitry Datsenko
2009	J	`jnl`	From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images. SIAM Rev. Alfred M. Bruckstein, David L. Donoho, Michael Elad
2009	J	`jnl`	Generalizing the Nonlocal-Means to Super-Resolution Reconstruction. IEEE Trans. Image Process. Matan Protter, Michael Elad, Hiroyuki Takeda, Peyman Milanfar
2009	J	`jnl`	Image Sequence Denoising via Sparse and Redundant Representations. IEEE Trans. Image Process. Matan Protter, Michael Elad
2009	J	`jnl`	Super Resolution With Probabilistic Motion Estimation. IEEE Trans. Image Process. Matan Protter, Michael Elad
2009	J	`jnl`	Super-Resolution Without Explicit Subpixel Motion Estimation. IEEE Trans. Image Process. Hiroyuki Takeda, Peyman Milanfar, Matan Protter, Michael Elad
2008	—	`conf`	08492 Abstracts Collection - Structured Decompositions and Efficient Algorithms. Structured Decompositions and Efficient Algorithms Stephan Dahlke, Ingrid Daubechies, Michael Elad, Gitta Kutyniok, Gerd Teschke
2008	—	`conf`	08492 Executive Summary - Structured Decompositions and Efficient Algorithms. Structured Decompositions and Efficient Algorithms Stephan Dahlke, Ingrid Daubechies, Michael Elad, Gitta Kutyniok, Gerd Teschke
2008	—	`conf`	A Weighted Average of Sparse Representations is Better than the Sparsest One Alone. Structured Decompositions and Efficient Algorithms Michael Elad, Irad Yavneh
2008	J	`jnl`	Compression of facial images using the K-SVD algorithm. J. Vis. Commun. Image Represent. Ori Bryt, Michael Elad
2008	J	`jnl`	Learning Multiscale Sparse Representations for Image and Video Restoration. Multiscale Model. Simul. Julien Mairal, Guillermo Sapiro, Michael Elad
2008	J	`jnl`	On the Uniqueness of Nonnegative Sparse Solutions to Underdetermined Systems of Equations. IEEE Trans. Inf. Theory Alfred M. Bruckstein, Michael Elad, Michael Zibulevsky
2008	Misc	`conf`	On the uniqueness of non-negative sparse & redundant representations. ICASSP Alfred M. Bruckstein, Michael Elad, Michael Zibulevsky
2008	J	`jnl`	Sparse Representation for Color Image Restoration. IEEE Trans. Image Process. Julien Mairal, Michael Elad, Guillermo Sapiro
2008	J	`jnl`	Sparse and Redundant Modeling of Image Content Using an Image-Signature-Dictionary. SIAM J. Imaging Sci. Michal Aharon, Michael Elad
2008	—	`ed.`	Structured Decompositions and Efficient Algorithms, 30.11. - 05.12.2008 Structured Decompositions and Efficient Algorithms Stephan Dahlke, Ingrid Daubechies, Michael Elad, Gitta Kutyniok, Gerd Teschke
2007	J	`jnl`	Biblio: automatic meta-data extraction. Int. J. Document Anal. Recognit. Carl Staelin, Michael Elad, Darryl Greig, Oded Shmueli, Marie Vans
2007	J	`jnl`	Cross-Modal Localization via Sparsity. IEEE Trans. Signal Process. Einat Kidron, Yoav Y. Schechner, Michael Elad
2007	J	`jnl`	Example-based single document image super-resolution: a global MAP approach with outlier rejection. Multidimens. Syst. Signal Process. Dmitry Datsenko, Michael Elad
2007	J	`jnl`	Low Bit-Rate Compression of Facial Images. IEEE Trans. Image Process. Michael Elad, Roman Goldenberg, Ron Kimmel
2007	—	`conf`	Multiscale Sparse Image Representationwith Learned Dictionaries. ICIP (3) Julien Mairal, Guillermo Sapiro, Michael Elad
2007	J	`jnl`	On Lebesgue-type inequalities for greedy approximation. J. Approx. Theory David L. Donoho, Michael Elad, Vladimir N. Temlyakov
2007	J	`jnl`	Optimized Projections for Compressed Sensing. IEEE Trans. Signal Process. Michael Elad
2006	Misc	`conf`	A General Iterative Regularization Framework For Image Denoising. CISS Michael R. Charest, Michael Elad, Peyman Milanfar
2006	—	`conf`	Analysis versus synthesis in signal priors. EUSIPCO Michael Elad, Peyman Milanfar, Ron Rubinstein
2006	—	`conf`	Image Denoising Via Learned Dictionaries and Sparse representation. CVPR (1) Michael Elad, Michal Aharon
2006	J	`jnl`	Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries. IEEE Trans. Image Process. Michael Elad, Michal Aharon
2006	—	`conf`	Image Denoising with Shrinkage and Redundant Representations. CVPR (2) Michael Elad, Boaz Matalon, Michael Zibulevsky
2006	J	`jnl`	K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation. IEEE Trans. Signal Process. Michal Aharon, Michael Elad, Alfred M. Bruckstein
2006	J	`jnl`	Morphological diversity and source separation. IEEE Signal Process. Lett. Jérôme Bobin, Yassir Moudden, Jean-Luc Starck, Michael Elad
2006	J	`jnl`	Multiframe demosaicing and super-resolution of color images. IEEE Trans. Image Process. Sina Farsiu, Michael Elad, Peyman Milanfar
2006	J	`jnl`	On the stability of the basis pursuit in the presence of noise. Signal Process. David L. Donoho, Michael Elad
2006	J	`jnl`	Sparse Representations Are Most Likely to Be the Sparsest Possible. EURASIP J. Adv. Signal Process. Michael Elad
2006	J	`jnl`	Stable recovery of sparse overcomplete representations in the presence of noise. IEEE Trans. Inf. Theory David L. Donoho, Michael Elad, Vladimir N. Temlyakov
2006	J	`jnl`	Video-to-Video Dynamic Super-Resolution for Grayscale and Color Sequences. EURASIP J. Adv. Signal Process. Sina Farsiu, Michael Elad, Peyman Milanfar
2006	J	`jnl`	Why Simple Shrinkage Is Still Relevant for Redundant Representations? IEEE Trans. Inf. Theory Michael Elad
2005	J	`jnl`	Image Decomposition via the Combination of Sparse Representations and a Variational Approach. IEEE Trans. Image Process. Jean-Luc Starck, Michael Elad, David L. Donoho
2005	J	`jnl`	On the Design of Filters for Gradient-Based Motion Estimation. J. Math. Imaging Vis. Michael Elad, Patrick C. Teo, Yacov Hel-Or
2005	—	`conf`	Pixels that Sound. CVPR (1) Einat Kidron, Yoav Y. Schechner, Michael Elad
2005	—	`conf`	Retinex by Two Bilateral Filters. Scale-Space Michael Elad
2005	J	`jnl`	Space-dependent color gamut mapping: a variational approach. IEEE Trans. Image Process. Ron Kimmel, Doron Shaked, Michael Elad, Irwin Sobel
2005	J	`jnl`	The Generalized Eigenvalue Problem for Nonsquare Pencils Using a Minimal Perturbation Approach. SIAM J. Matrix Anal. Appl. Gregory Boutry, Michael Elad, Gene H. Golub, Peyman Milanfar
2005	J	`jnl`	Variable projection for near-optimal filtering in low bit-rate block coders. IEEE Trans. Circuits Syst. Video Technol. Yaakov Tsaig, Michael Elad, Peyman Milanfar, Gene H. Golub
2004	J	`jnl`	Advances and challenges in super-resolution. Int. J. Imaging Syst. Technol. Sina Farsiu, M. Dirk Robinson, Michael Elad, Peyman Milanfar
2004	J	`jnl`	Fast and robust multiframe super resolution. IEEE Trans. Image Process. Sina Farsiu, M. Dirk Robinson, Michael Elad, Peyman Milanfar
2004	C	`conf`	Improved high-definition video by encoding at an intermediate resolution. VCIP Andrew Segall, Michael Elad, Peyman Milanfar, Richard Webb, Chad Fogg
2004	—	`conf`	Multiframe demosaicing and super-resolution from undersampled color images. Computational Imaging Sina Farsiu, Michael Elad, Peyman Milanfar
2004	J	`jnl`	Shape from moments - an estimation theory perspective. IEEE Trans. Signal Process. Michael Elad, Peyman Milanfar, Gene H. Golub
2003	J	`jnl`	A Variational Framework for Retinex. Int. J. Comput. Vis. Ron Kimmel, Michael Elad, Doron Shaked, Renato Keshet, Irwin Sobel
2003	J	`jnl`	Down-scaling for better transform compression. IEEE Trans. Image Process. Alfred M. Bruckstein, Michael Elad, Ron Kimmel
2003	—	`conf`	Fast and robust super-resolution. ICIP (2) Sina Farsiu, M. Dirk Robinson, Michael Elad, Peyman Milanfar
2003	—	`conf`	Optimal framework for low bit-rate block coders. ICIP (2) Yaakov Tsaig, Michael Elad, Gene H. Golub, Peyman Milanfar
2003	J	`jnl`	Reduced complexity Retinex algorithm via the variational approach. J. Vis. Commun. Image Represent. Michael Elad, Ron Kimmel, Doron Shaked, Renato Keshet
2002	J	`jnl`	A generalized uncertainty principle and sparse representation in pairs of bases. IEEE Trans. Inf. Theory Michael Elad, Alfred M. Bruckstein
2002	J	`jnl`	On the origin of the bilateral filter and ways to improve it. IEEE Trans. Image Process. Michael Elad
2002	J	`jnl`	Rejection based classifier for face detection. Pattern Recognit. Lett. Michael Elad, Yacov Hel-Or, Renato Keshet
2002	—	`conf`	Variational famework for Retinex. Human Vision and Electronic Imaging Ron Kimmel, Michael Elad, Doron Shaked, Renato Keshet, Irwin Sobel
2001	J	`jnl`	A fast super-resolution reconstruction algorithm for pure translational motion and common space-invariant blur. IEEE Trans. Image Process. Michael Elad, Yacov Hel-Or
2001	—	`conf`	Content Based Retrieval of VRML Objects - An Iterative and Interactive Approach. Eurographics Multimedia Workshop Michael Elad, Ayellet Tal, Sigal Ar
2001	—	`conf`	Down-Scaling for Better Transform Compression. Scale-Space Alfred M. Bruckstein, Michael Elad, Ron Kimmel
2001	—	`conf`	On sparse signal representations. ICIP (1) Michael Elad, Alfred M. Bruckstein
2001	—	`conf`	Pattern Detection Using a Maximal Rejection Classifier. IWVF Michael Elad, Yacov Hel-Or, Renato Keshet
1999	A*	`conf`	Optimal Filters for Gradient-based Motion Estimation. ICCV Michael Elad, Patrick C. Teo, Yacov Hel-Or
1999	—	`conf`	Super-Resolution Reconstruction of Continuous Image Sequences. ICIP (3) Michael Elad, Arie Feuer
1999	J	`jnl`	Super-Resolution Reconstruction of Image Sequences. IEEE Trans. Pattern Anal. Mach. Intell. Michael Elad, Arie Feuer
1999	J	`jnl`	Superresolution restoration of an image sequence: adaptive filtering approach. IEEE Trans. Image Process. Michael Elad, Arie Feuer
1998	J	`jnl`	Recursive Optical Flow Estimation - Adaptive Filtering Approach. J. Vis. Commun. Image Represent. Michael Elad, Arie Feuer
1998	—	`conf`	The periodic step gradient descent algorithm - General analysis and application to the super resolution reconstruction problem. EUSIPCO Tamir Sagi, Arie Feuer, Michael Elad
1997	J	`jnl`	Restoration of a single superresolution image from several blurred, noisy, and undersampled measured images. IEEE Trans. Image Process. Michael Elad, Arie Feuer