Zobrazeno 1 - 10
of 181
pro vyhledávání: '"Daniyar Turmukhambetov"'
Autor:
Sarah Gallacher, Duncan Wilson, Alison Fairbrass, Daniyar Turmukhambetov, Michael Firman, Stefan Kreitmayer, Oisin Mac Aodha, Gabriel Brostow, Kate Jones
Publikováno v:
IET Smart Cities, Vol 3, Iss 3, Pp 171-183 (2021)
Abstract Biodiversity surveys are often required for development projects in cities that could affect protected species such as bats. Bats are important biodiversity indicators of the wider health of the environment and activity surveys of bat specie
Externí odkaz:
https://doaj.org/article/a8aac8840eb444d3a3a98a826af3abde
Autor:
Michael Firman, Gabriel J. Brostow, Daniyar Turmukhambetov, Alison J. Fairbrass, Duncan Wilson, Oisin Mac Aodha, Kate E. Jones, Stefan Kreitmayer, Sarah Gallacher
Publikováno v:
IET Smart Cities, Vol 3, Iss 3, Pp 171-183 (2021)
Gallacher, S, Wilson, D, Fairbrass, A, Turmukhambetov, D, Firman, M, Kreitmayer, S, Mac Aodha, O, Brostow, G & Jones, K 2021, ' Shazam for bats: Internet of Things for continuous real-time biodiversity monitoring ', IET Smart Citites . https://doi.org/10.1049/smc2.12016
Gallacher, S, Wilson, D, Fairbrass, A, Turmukhambetov, D, Firman, M, Kreitmayer, S, Mac Aodha, O, Brostow, G & Jones, K 2021, ' Shazam for bats: Internet of Things for continuous real-time biodiversity monitoring ', IET Smart Citites . https://doi.org/10.1049/smc2.12016
Biodiversity surveys are often required for development projects in cities that could affect protected species such as bats. Bats are important biodiversity indicators of the wider health of the environment and activity surveys of bat species are use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be411edc922901309d2ea2514e6af346
https://doaj.org/article/a8aac8840eb444d3a3a98a826af3abde
https://doaj.org/article/a8aac8840eb444d3a3a98a826af3abde
Autor:
Eduardo Arnold, Jamie Wynn, Sara Vicente, Guillermo Garcia-Hernando, Áron Monszpart, Victor Prisacariu, Daniyar Turmukhambetov, Eric Brachmann
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031197680
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::638bf88d149014867e3170feb0b0c65b
https://doi.org/10.1007/978-3-031-19769-7_40
https://doi.org/10.1007/978-3-031-19769-7_40
Publikováno v:
ACM Transactions on Interactive Intelligent Systems. 9:1-27
Creating automation scripts for tasks involving Graphical User Interface (GUI) interactions is hard. It is challenging because not all software applications allow access to a program’s internal state, nor do they all have accessibility APIs. Althou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1734bd392df53169509bedacec88b288
https://doi.org/10.1145/3234508
https://doi.org/10.1145/3234508
Publikováno v:
ICRA
Many robotics applications require interest points that are highly repeatable under varying viewpoints and lighting conditions. However, this requirement is very challenging as the environment changes continuously and indefinitely, leading to appeara
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::efcdb00f667c7872f2aa6ca8c95913b3
https://doi.org/10.1109/icra48506.2021.9561383
https://doi.org/10.1109/icra48506.2021.9561383
Publikováno v:
Conference on Computer Vision and Pattern Recognition
Conference on Computer Vision and Pattern Recognition, 2021, Online, United States
CVPR
Conference on Computer Vision and Pattern Recognition, 2021, Online, United States
CVPR
We present a novel method for predicting accurate depths from monocular images with high efficiency. This optimal efficiency is achieved by exploiting wavelet decomposition, which is integrated in a fully differentiable encoder-decoder architecture.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a55374c80432c5570abf2957641138dc
https://hal.archives-ouvertes.fr/hal-03482288/document
https://hal.archives-ouvertes.fr/hal-03482288/document
Autor:
Gabriel J. Brostow, Daniyar Turmukhambetov, Danail Stoyanov, Anita Rau, Guillermo Garcia-Hernando
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585570
ECCV (5)
ECCV (5)
To what extent are two images picturing the same 3D surfaces? Even when this is a known scene, the answer typically requires an expensive search across scale space, with matching and geometric verification of large sets of local features. This expens
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a17228180f6f330abdb8d0fba1f99998
https://doi.org/10.1007/978-3-030-58558-7_37
https://doi.org/10.1007/978-3-030-58558-7_37
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030584511
ECCV (1)
ECCV (1)
Supervised deep networks are among the best methods for finding correspondences in stereo image pairs. Like all supervised approaches, these networks require ground truth data during training. However, collecting large quantities of accurate dense co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::deabe16076a0622015ae612b44c34493
https://doi.org/10.1007/978-3-030-58452-8_42
https://doi.org/10.1007/978-3-030-58452-8_42
Publikováno v:
ICCV
Monocular depth estimators can be trained with various forms of self-supervision from binocular-stereo data to circumvent the need for high-quality laser scans or other ground-truth data. The disadvantage, however, is that the photometric reprojectio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17d386f120785f734484fdd29964d095
https://doi.org/10.1109/iccv.2019.00225
https://doi.org/10.1109/iccv.2019.00225
Publikováno v:
Computer Graphics Forum. 34:130-142
We present an interactive system for composing realistic images of an object under arbitrary pose and appearance specified by sketching. Our system draws inspiration from a traditional illustration workflow: The user first sketches rough 'masses' of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35012417aecdb73223df2a5864a4a3eb
https://doi.org/10.1111/cgf.12665
https://doi.org/10.1111/cgf.12665