Zobrazeno 1 - 10
of 134
pro vyhledávání: '"Depth order"'
Autor:
Ruoxi Deng, Shengjun Liu
Publikováno v:
IEEE Access, Vol 7, Pp 38630-38643 (2019)
We study the problem of estimating the relative depth order of point pairs in a monocular image. Recent advances mainly focus on using deep convolutional neural networks to learn and infer the ordinal information from multiple contextual information
Externí odkaz:
https://doaj.org/article/39923e0a74454e57a5831574bc405d58
Autor:
Gillam, Barbara, author
Publikováno v:
The Oxford Compendium of Visual Illusions, 2017, ill.
Externí odkaz:
https://doi.org/10.1093/acprof:oso/9780199794607.003.0098
Autor:
Li, Jun, Liu, Regina Y.
Publikováno v:
The Annals of Statistics, 2008 Jun 01. 36(3), 1299-1323.
Externí odkaz:
https://www.jstor.org/stable/25464668
Publikováno v:
IEEE transactions on visualization and computer graphics.
One of the main goals of many augmented reality applications is to provide a seamless integration of a real scene with additional virtual data. To fully achieve that goal, such applications must typically provide high-quality real-world tracking, sup
Publikováno v:
SIAM Journal on Computing. 49:1109-1127
In 2015, Guth proved that for any set of $k$-dimensional bounded complexity varieties in $\mathbb{R}^d$ and for any positive integer $D$, there exists a polynomial of degree at most $D$ whose zero set divides $\mathbb{R}^d$ into open connected sets,
Publikováno v:
Conference on Artificial Intelligence in Medecine (AIME 2021)
Conference on Artificial Intelligence in Medecine (AIME 2021), Jun 2021, Porto, Portugal
HAL
Artificial Intelligence in Medicine ISBN: 9783030772109
AIME
Conference on Artificial Intelligence in Medecine (AIME 2021), Jun 2021, Porto, Portugal
HAL
Artificial Intelligence in Medicine ISBN: 9783030772109
AIME
International audience; This paper studies the effect of the order of depth of mention on nested named entity recognition (NER) models. NER is an essential task in the extraction of biomedical information, and nested entities are common since medical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b75539cb1628d81c53ea0a51efb5fed2
Publikováno v:
Computational Visual Media, Vol 4, Iss 3, Pp 277-285 (2018)
SIGGRAPH Asia Technical Briefs
SIGGRAPH Asia Technical Briefs
Deep images store multiple fragments perpixel, each of which includes colour and depth, unlike traditional 2D flat images which store only a single colour value and possibly a depth value. Recently, deep images have found use in an increasing number
Akademický článek
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Publikováno v:
Acta Geodaetica et Cartographica Sinica, Vol 46, Iss 6, Pp 789-801 (2017)
After having analyzed the application deficiency of positive direction rolling ball transform according to the safety principle, and concerned essentially with the evaluation principles of depth precision, depth order isomorphism and hierarchical nes
Autor:
Michael S. Langer, Milena Scaccia
Publikováno v:
Journal of vision. 18(3)
In three-dimensional (3-D) cluttered scenes such as foliage, deeper surfaces often are more shadowed and hence darker, and so depth and luminance often have negative covariance. We examined whether the sign of depth-luminance covariance plays a role