activity
20192021
most citedGenerative adversarial network with object detector discriminator for enhanced defect detection on ultrasonic B-scans

63 citations · 95 across the 4 of their papers we have counts for

collaborators

5 papers

eess.IV2021★ 63 cited

Generative adversarial network with object detector discriminator for enhanced defect detection on ultrasonic B-scans

Luka Posilović, Duje Medak, Marko Subasic +2

Non-destructive testing is a set of techniques for defect detection in materials. While the set of imaging techniques are manifold, ultrasonic imaging is the one used the most. The…

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…