997 citations · 2.4k across the 65 of their papers we have counts for
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Spatially-Adaptive Pixelwise Networks for Fast Image Translation
Tamar Rott Shaham, Michael Gharbi, Richard Zhang +2
We introduce a new generator architecture, aimed at fast and efficient high-resolution image-to-image translation. We design the generator to be an extremely lightweight function o…
Contrastive Divergence Learning is a Time Reversal Adversarial Game
Omer Yair, Tomer Michaeli
Contrastive divergence (CD) learning is a classical method for fitting unnormalized statistical models to data samples. Despite its wide-spread use, the convergence properties of t…
Learning an optimal PSF-pair for ultra-dense 3D localization microscopy
Elias Nehme, Boris Ferdman, Lucien E. Weiss +4
A long-standing challenge in multiple-particle-tracking is the accurate and precise 3D localization of individual particles at close proximity. One established approach for snapsho…
What's in the Image? Explorable Decoding of Compressed Images
Yuval Bahat, Tomer Michaeli
The ever-growing amounts of visual contents captured on a daily basis necessitate the use of lossy compression methods in order to save storage space and transmission bandwidth. Wh…
Unique Properties of Flat Minima in Deep Networks
Rotem Mulayoff, Tomer Michaeli
It is well known that (stochastic) gradient descent has an implicit bias towards flat minima. In deep neural network training, this mechanism serves to screen out minima. However,…