27 citations · 52 across the 10 of their papers we have counts for
10 papers
Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report
Andrey Ignatov, Radu Timofte, Shuai Liu +35
The role of mobile cameras increased dramatically over the past few years, leading to more and more research in automatic image quality enhancement and RAW photo processing. In thi…
On the properties of some low-parameter models for color reproduction in terms of spectrum transformations and coverage of a color triangle
Alexey Kroshnin, Viacheslav Vasilev, Egor Ershov +3
One of the classical approaches to solving color reproduction problems, such as color adaptation or color space transform, is the use of low-parameter spectral models. The strength…
Illumination Estimation Challenge: experience of past two years
Egor Ershov, Alex Savchik, Ilya Semenkov +15
Illumination estimation is the essential step of computational color constancy, one of the core parts of various image processing pipelines of modern digital cameras. Having an acc…
The Cube++ Illumination Estimation Dataset
Egor Ershov, Alex Savchik, Illya Semenkov +6
Computational color constancy has the important task of reducing the influence of the scene illumination on the object colors. As such, it is an essential part of the image process…
Problems of dataset creation for light source estimation
E. I. Ershov, A. V. Belokopytov, A. V. Savchik
The paper describes our experience collecting a new dataset for the light source estimation problem in a single image. The analysis of existing color targets is presented along wit…
1-point RANSAC for Circular Motion Estimation in Computed Tomography (CT)
Mikhail O. Chekanov, Oleg S. Shipitko, Egor I. Ershov
This paper proposes a RANSAC-based algorithm for determining the axial rotation angle of an object from a pair of its tomographic projections. An equation is derived for calculatin…