Zobrazeno 1 - 10
of 118
pro vyhledávání: '"John Collomosse"'
Autor:
Glenn Parry, John Collomosse
Publikováno v:
Frontiers in Blockchain, Vol 3 (2021)
Blockchain projects have been developed to extend the reach of distributed ledger technology (DLT) beyond cryptocurrency to achieve “good” in the world. Such projects may make a claim for moral, ethical, and responsible intent, but many researche
Externí odkaz:
https://doaj.org/article/81ba84aaf2ab4c23bba96b355930c3b1
Autor:
Mark Bell, Alex Green, John Sheridan, John Collomosse, Daniel Cooper, Tu Bui, Olivier Thereaux, Jez Higgins
Publikováno v:
Insights: The UKSG Journal, Vol 32, Iss 1 (2019)
Archives have well-established practices which have been developed over years of working with analogue records. Now they face huge challenges due to the inexorable development of digital technologies. Not only is the heterogeneous nature of the recor
Externí odkaz:
https://doaj.org/article/b8b2c30db05e4cbda39d0b2bbcc80d76
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250552
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09dddb344e9cfdcb2fe6806733a5e846
https://doi.org/10.1007/978-3-031-25056-9_14
https://doi.org/10.1007/978-3-031-25056-9_14
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::881e4c4ca083ff9606ea285fc3976f7a
https://doi.org/10.1007/s11042-022-14282-0
https://doi.org/10.1007/s11042-022-14282-0
Publikováno v:
Computers & Graphics. 98:188-196
We present a neural architecture search (NAS) technique to enhance image denoising, inpainting, and super-resolution tasks under the recently proposed Deep Image Prior (DIP). We show that evolutionary search can automatically optimize the encoder-dec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b19678fa08aa0817c0bc3d9439311f57
https://doi.org/10.1016/j.cag.2021.05.013
https://doi.org/10.1016/j.cag.2021.05.013
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031197864
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1751f6ebfc10f93a32b27357f02b6ac
https://doi.org/10.1007/978-3-031-19787-1_36
https://doi.org/10.1007/978-3-031-19787-1_36
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031197802
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a95a886c48b1245cc349133133e5c4b9
https://doi.org/10.1007/978-3-031-19781-9_9
https://doi.org/10.1007/978-3-031-19781-9_9
Autor:
Dan Ruta, Andrew Gilbert, Pranav Aggarwal, Naveen Marri, Ajinkya Kale, Jo Briggs, Chris Speed, Hailin Jin, Baldo Faieta, Alex Filipkowski, Zhe Lin, John Collomosse
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200731
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c989a5dd7f96e6f78f229572ef823d6
https://doi.org/10.1007/978-3-031-20074-8_13
https://doi.org/10.1007/978-3-031-20074-8_13
Publikováno v:
CVPR Workshops
We present a novel architecture for comparing a pair of images to identify image regions that have been subjected to editorial manipulation. We first describe a robust near-duplicate search, for matching a potentially manipulated image circulating on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e9968a3ad5c9ad9caacaca518a016bf
https://doi.org/10.1109/cvprw53098.2021.00108
https://doi.org/10.1109/cvprw53098.2021.00108
Publikováno v:
CVPR
We present Magic Layouts; a method for parsing screenshots or hand-drawn sketches of user interface (UI) layouts. Our core contribution is to extend existing detectors to exploit a learned structural prior for UI designs, enabling robust detection of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38de9a752edf4cb61745b65642ff334d
https://doi.org/10.1109/cvpr46437.2021.01555
https://doi.org/10.1109/cvpr46437.2021.01555