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M. Subašić

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4

identity via Semantic Scholar / OpenAlex

most citedThe Cube++ Illumination Estimation Dataset

27 citations · 32 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2020★ 1 cited

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…

cs.CV2020★ 27 cited

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…

cs.CV2019★ 4 cited

CroP: Color Constancy Benchmark Dataset Generator

Nikola Banić, Karlo Koščević, Marko Subašić +1

Implementing color constancy as a pre-processing step in contemporary digital cameras is of significant importance as it removes the influence of scene illumination on object color…

cs.CV2019

The Past and the Present of the Color Checker Dataset Misuse

Nikola Banić, Karlo Koš{č}ević, Marko Subašić +1

The pipelines of digital cameras contain a part for computational color constancy, which aims to remove the influence of the illumination on the scene colors. One of the best known…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.