Search Results for author: Raanan Fattal

Found 5 papers, 0 papers with code

Single Image Object Counting and Localizing using Active-Learning

no code implementations16 Nov 2021 Inbar Huberman-Spiegelglas, Raanan Fattal

The need to count and localize repeating objects in an image arises in different scenarios, such as biological microscopy studies, production lines inspection, and surveillance recordings analysis.

Active Learning Object Counting +2

Unpaired Learning for High Dynamic Range Image Tone Mapping

no code implementations ICCV 2021 Yael Vinker, Inbar Huberman-Spiegelglas, Raanan Fattal

In this paper we describe a new tone-mapping approach guided by the distinct goal of producing low dynamic range (LDR) renditions that best reproduce the visual characteristics of native LDR images.

Image Manipulation Tone Mapping

Deblurring using Analysis-Synthesis Networks Pair

no code implementations CVPR 2020 Adam Kaufman, Raanan Fattal

Unlike existing deblurring networks, this design allows us to explicitly incorporate the blur-kernel in the network's training.

Blind Image Deblurring Image Deblurring +1

Reducing Lateral Visual Biases in Displays

no code implementations11 Apr 2019 Inbar Huberman, Raanan Fattal

The human visual system is composed of multiple physiological components that apply multiple mechanisms in order to cope with the rich visual content it encounters.

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