Výsledky vyhledávání - "A. P. Rozumnyi"

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Autor: Zou, Rong, Pollefeys, Marc, Rozumnyi, Denys

Moving objects are frequently seen in daily life and usually appear blurred in images due to their motion. While general object retrieval is a widely explored area in computer vision, it primarily focuses on sharp and static objects, and retrieval of

Externí odkaz: http://arxiv.org/abs/2404.18025

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Akademický článek

Vascular endothelial growth factor inhibitors in exudative retinal diseases: overview of recent advances and prospects for further progress

Autor: G. V. Zaychenko, V. P. Rozumnyi

Publikováno v: Journal of Ophthalmology, Iss 4, Pp 58-64 (2024)

The incidence of blindness due to exudative retinal diseases reduced significantly over the twenty years of the use of anti-vascular endothelial growth factor (VEGF) therapy in ophthalmology. However, despite advances in recent years, current outcome

Externí odkaz: https://doaj.org/article/8271104a31624c1ab65b0dea06f083ef

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Human from Blur: Human Pose Tracking from Blurry Images

Autor: Zhao, Yiming, Rozumnyi, Denys, Song, Jie, Hilliges, Otmar, Pollefeys, Marc, Oswald, Martin R.

We propose a method to estimate 3D human poses from substantially blurred images. The key idea is to tackle the inverse problem of image deblurring by modeling the forward problem with a 3D human model, a texture map, and a sequence of poses to descr

Externí odkaz: http://arxiv.org/abs/2303.17209

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Intra-frame Object Tracking by Deblatting

Autor: Kotera, Jan, Rozumnyi, Denys, Šroubek, Filip, Matas, Jiří

Publikováno v: 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)

Objects moving at high speed along complex trajectories often appear in videos, especially videos of sports. Such objects elapse non-negligible distance during exposure time of a single frame and therefore their position in the frame is not well defi

Externí odkaz: http://arxiv.org/abs/1905.03633

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Coplanar Repeats by Energy Minimization

Autor: Pritts, James, Rozumnyi, Denys, Kumar, M. Pawan, Chum, Ondrej

Publikováno v: Proceedings of the British Machine Vision Conference (BMVC) 2016

This paper proposes an automated method to detect, group and rectify arbitrarily-arranged coplanar repeated elements via energy minimization. The proposed energy functional combines several features that model how planes with coplanar repeats are pro

Externí odkaz: http://arxiv.org/abs/1711.09432

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