997 citations · 2.4k across the 65 of their papers we have counts for
6 papers · 1 filter
Dense xUnit Networks
Idan Kligvasser, Tomer Michaeli
Deep net architectures have constantly evolved over the past few years, leading to significant advancements in a wide array of computer vision tasks. However, besides high accuracy…
The 2018 PIRM Challenge on Perceptual Image Super-resolution
Yochai Blau, Roey Mechrez, Radu Timofte +2
This paper reports on the 2018 PIRM challenge on perceptual super-resolution (SR), held in conjunction with the Perceptual Image Restoration and Manipulation (PIRM) workshop at ECC…
Multicolor localization microscopy by deep learning
Eran Hershko*, Lucien E. Weiss*, Tomer Michaeli +1
Deep learning has become an extremely effective tool for image classification and image restoration problems. Here, we apply deep learning to microscopy, and demonstrate how neural…
Deformation Aware Image Compression
Tamar Rott Shaham, Tomer Michaeli
Lossy compression algorithms aim to compactly encode images in a way which enables to restore them with minimal error. We show that a key limitation of existing algorithms is that…
On the Minimal Overcompleteness Allowing Universal Sparse Representation
Rotem Mulayoff, Tomer Michaeli
Sparse representation over redundant dictionaries constitutes a good model for many classes of signals (e.g., patches of natural images, segments of speech signals, etc.). However,…
Deep-STORM: super-resolution single-molecule microscopy by deep learning
Elias Nehme, Lucien E. Weiss, Tomer Michaeli +1
We present an ultra-fast, precise, parameter-free method, which we term Deep-STORM, for obtaining super-resolution images from stochastically-blinking emitters, such as fluorescent…