M. Elad, B. Kawar, and G. Vaksman, Image Denoising: The Deep Learning Revolution and Beyond--A Survey Paper--. SIAM Journal on Imaging Sciences 16(3), pp.1594-1654, 2023.
G. Vaksman and M. Elad, Patch-Craft Self-Supervised Training for Correlated Image Denoising. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
B. Kawar, G. Vaksman, M. Elad, SNIPS: Solving Noisy Inverse Problems Stochastically. Advances in Neural Information Processing Systems (NeurIPS), 2021.[GitHub].
G. Vaksman, M. Elad, P. Milanfar, Patch craft: Video Denoising by Deep Modeling and Patch Matching. IEEE/CVF International Conference on Computer Vision (ICCV), 2021. [GitHub] [Talk].
B. Kawar, G. Vaksman, M. Elad, Stochastic Image Denoising by Sampling from the Posterior Distribution. IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021.
G. Ohayon, T. Adrai, G. Vaksman, M. Elad, P. Milanfar, High Perceptual Quality Image Denoising with a Posterior Sampling CGAN. IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021. [GitHub].
G. Vaksman, M. Elad, P. Milanfar, LIDIA: Lightweight Learned Image Denoising with Instance Adaptation. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020. [GitHub].
G. Vaksman, M. Zibulevsky, M. Elad, Patch Ordering as a Regularization for Inverse Problems in Image Processing. SIAM Journal on Imaging Sciences, 2016. [GitHub].
G. Vaksman and M. Elad, Image Generation Using a Sparsity Model. Signal Processing with Adaptive Sparse Structured Representations (SPARS) workshop, 2017.
I am a recipient of the following awards:
Technion MLIS-TCE Best Paper Award, 2022.
Best Student Paper Award in Advances in Image Manipulation (AIM) workshop at the International Conference on Computer Vision (ICCV), 2021.
Technion CS Department Best Student Project Award (as supervisor), 2021.
I have served as a reviewer at the following venues:
ICML 2025
ICLR 2025
NeurIPS 2024
ECCV 2024
CVPR 2023
ICCV 2021
A workshop at CVPR 2020