Publications Conferences

Image Processing Applications

G. Ohayon, T. Michaelim and M. Elad, The Perception-Robustness Tradeoff in Deterministic Image Restoration, ICML, 2024.
G. Bar-Shalom, G. Leifman, and Michael Elad, Weakly-Supervised Representation Learning for Video Alignment and Analysis, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), January 2024.
R. Ganz and M. Elad, CLIPAG: Towards Generator-Free Text-to-Image Generation, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), January 2024.
T. Adrai, G. Ohayon, M. Elad and T. Michaeli, Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image Restoration, Advances in Neural Information Processing Systems (NeurIPS) 2023.
O. Belhasin, Y. Romano, D. Freedman, E. Rivlin, and M. Elad, Volume-Oriented Uncertainty for Inverse Problems, NeurIPS workshop on Deep Learning and Inverse Problems, 2023.
S. Man, G. Ohayon, T. Adrai and M. Elad, High-Perceptual Quality JPEG Decoding via Posterior Sampling, Computer Vision and Pattern Recognition (CVPR) Workshops, 2023.
N. Sridhar, M. Elad, C. McNeil, E. Rivlin, and D. Freedman, Diffusion Models for Generative Histopathology, Deep Generative Models: Third MICCAI Workshop, DGM4MICCAI 2023.
G. Leifman, I. Kligvasser, R. Goldenberg, E. Rivlin, and M. Elad, Colonoscopy Coverage Revisited: Identifying Scanning Gaps in Real-Time, MICCAI Workshop on Cancer Prevention through Early Detection, 2023.
I. Kligvasser, G. Leifman, R. Goldenberg, E. Rivlin and Michael Elad, Semi-supervised Quality Evaluation of Colonoscopy Procedures, IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2023.
N. Torem, R. Ronen, Y.Y. Schechner and M. Elad, Complex-valued Retrievals From Noisy Images Using Diffusion Models, ICCV, 2023.
R. Ganz, B. Kawar and M. Elad, Do Perceptually Aligned Gradients Imply Adversarial Robustness?, ICML 2023.
B. Kawar, M. Elad, S. Ermon, and J. Song, Denoising Diffusion Restoration Models, Advances in Neural Information Processing Systems (NeurIPS) 2022.
B. Kawar, M. Elad, S. Ermon, and J. Song, Denoising Diffusion Restoration Models, International Conference on Learning Representations (ICLR) 2022 - Workshop on Deep Generative Models for Highly Structured Data [Oral Presentation].
B. Kawar, G. Vaksman, and M. Elad, SNIPS: Solving Noisy Inverse Problems Stochastically, NeurIPS 2021.
G. Vaksman, M. Elad and P. Milanfar, Patch Craft: Video Denoising by Deep Modeling and Patch Matching, ICCV 2021. software
B. Kawar, G. Vaksman, and M. Elad, Stochastic Image Denoising by Sampling from the Posterior Distribution, ICCV 2021, AIM workshop.
X.Y. Luo, H. Talebi, F. Yang, M. Elad and P. Milanfar, The Rate-Distortion-Accuracy Tradeoff: JPEG Case Study, IEEE Data Compression Conference, August 2021.
G. Ohayon, T. Adrai, G. Vaksman, M. Elad, and P. Milanfar, High Perceptual Quality Image Denoising with a Posterior Sampling CGAN, ICCV 2021, AIM workshop.
G. Vaksman, M. Elad and P. Milanfar, LIDIA: Lightweight Learned Image Denoising with Instance Adaptation, CVPR 2020, New Trends in Image Restoration and Enhancement (NTIRE) Workshop. software
G. Mataev, P. Milanfar, and M. Elad, DeepRED: Deep Image Prior Powered by RED, ICCV 2019, Learning for Computational Imaging (LCI) Workshop. software
S. Romem-Peled, Y. Romano, and M. Elad, SOS Boosting for Image Deblurring Algorithms, EUSIPCO 2019.
E. Zisselman, J. Sulam, and M. Elad, A Local Block Coordinate Descent Algorithm for the CSC Model, CVPR 2019. software
Y. Dar, M. Elad, and A.M. Bruckstein, Compression for Multiple Reconstructions, ICIP 2018, Athens, Greece, October 7-10, 2018.
Y. Dar, M. Elad and A.M. Bruckstein, System-Aware Compression, ISIT 2018, Colorado, USA, June 17-22, 2018.
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