22 citations · 27 across the 5 of their papers we have counts for
7 papers · 1 filter
TextCaps: a Dataset for Image Captioning with Reading Comprehension
Oleksii Sidorov, Ronghang Hu, Marcus Rohrbach +1
Image descriptions can help visually impaired people to quickly understand the image content. While we made significant progress in automatically describing images and optical char…
Craquelure as a Graph: Application of Image Processing and Graph Neural Networks to the Description of Fracture Patterns
Oleksii Sidorov, Jon Yngve Hardeberg
Cracks on a painting is not a defect but an inimitable signature of an artwork which can be used for origin examination, aging monitoring, damage identification, and even forgery d…
Generative Smoke Removal
Oleksii Sidorov, Congcong Wang, Faouzi Alaya Cheikh
In minimally invasive surgery, the use of tissue dissection tools causes smoke, which inevitably degrades the image quality. This could reduce the visibility of the operation field…
Deep Hyperspectral Prior: Denoising, Inpainting, Super-Resolution
Oleksii Sidorov, Jon Yngve Hardeberg
Deep learning algorithms have demonstrated state-of-the-art performance in various tasks of image restoration. This was made possible through the ability of CNNs to learn from larg…
Artificial Color Constancy via GoogLeNet with Angular Loss Function
Oleksii Sidorov
Color Constancy is the ability of the human visual system to perceive colors unchanged independently of the illumination. Giving a machine this feature will be beneficial in many f…
Conditional GANs for Multi-Illuminant Color Constancy: Revolution or Yet Another Approach?
Oleksii Sidorov
Non-uniform and multi-illuminant color constancy are important tasks, the solution of which will allow to discard information about lighting conditions in the image. Non-uniform il…
Changing the Image Memorability: From Basic Photo Editing to GANs
Oleksii Sidorov
Memorability is considered to be an important characteristic of visual content, whereas for advertisement and educational purposes it is often crucial. Despite numerous studies on…