Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Jiri Fajtl"'
Autor:
Yue Wu, Sarah Barman, Adnan Tufail, Aaron Y Lee, Sarah A Barman, John Anderson, Aroon D Hingorani, Reecha Sofat, Christopher G Owen, Alicja R Rudnicka, Roshan Welikala, Emily Y Chew, Abraham Olvera-Barrios, Ryan Chambers, Louis Bolter, Catherine Egan, Charlotte Wahlich, Frederick L Ferris, Lakshmi Chandrasekaran, Umar Chaudhry, Alasdair N Warwick, Jiri Fajtl, Paolo Remagnino, Royce Shakespeare, Kathryn Willis
Publikováno v:
BMJ Open Diabetes Research & Care, Vol 11, Iss 6 (2023)
Introduction The English Diabetic Eye Screening Programme (DESP) offers people living with diabetes (PLD) annual eye screening. We examined incidence and determinants of sight-threatening diabetic retinopathy (STDR) in a sociodemographically diverse
Externí odkaz:
https://doaj.org/article/27032c5a1d294b148974bc8a47ccc7e6
Autor:
Sarah Barman, Cathy Egan, Alicja Rudnicka, Adnan Tufail, Peter Mitchell, John Anderson, Christopher G Owen, Alicja R Rudnicka, Roshan Welikala, Abraham Olvera-Barrios, Ryan Chambers, Louis Bolter, Catherine Egan, Charlotte Wahlich, Umar A R Chaudhry, Fiona Martin, Aaron Lee, Lakshmi Chandrasekaran, Umar Chaudhry, Jiri Fajtl, Paolo Remagnino, Kathryn Willis, S A Barman, Karen Easy, Tasmina Hussain, Rizwana Issa, Abdul Mulla, Gbenga Olasehinde, Ahmed Patel, Oscar Phillips
Publikováno v:
BMJ Open, Vol 13, Iss 11 (2023)
Introduction The English National Health Service (NHS) Diabetic Eye Screening Programme (DESP) performs around 2.3 million eye screening appointments annually, generating approximately 13 million retinal images that are graded by humans for the prese
Externí odkaz:
https://doaj.org/article/9e3279194d4a4d69b3239b5d1ed438fb
Autor:
Abraham Olvera-Barrios, Christopher G. Owen, John Anderson, Alasdair Warwick, Ryan Chambers, Louis Bolter, Yue Wu, Roshan Welikala, Jiri Fajtl, Sarah Barman, Paolo Remagnino, Emily Y. Chew, Frederick L. Ferris, Aroon D. Hingorani, Reecha Sofat, Aaron Lee, Catherine A. Egan, Adnan Tufail, Alicja R. Rudnicka
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ded0f31a50a6190673b237888edd0dbc
https://doi.org/10.2139/ssrn.4336087
https://doi.org/10.2139/ssrn.4336087
Publikováno v:
IEEE Transactions on Image Processing. 29:4337-4348
Within this work a novel semi-supervised learning technique is introduced based on a simple iterative learning cycle together with learned thresholding techniques and an ensemble decision support system. State-of-the-art model performance and increas
Publikováno v:
CSNDSP
There are many vehicle navigation systems in existence. They provide directions following routes based on speed, traffic, major or minor roads and places of interest. Although guidance systems are getting increasingly more sophisticated, to our knowl
Publikováno v:
Computer Vision – ACCV 2018 Workshops ISBN: 9783030210731
ACCV Workshops
ACCV Workshops
In this work we propose a novel method for supervised, keyshots based video summarization by applying a conceptually simple and computationally efficient soft, self-attention mechanism. Current state of the art methods leverage bi-directional recurre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d764c3e0c75fd89db4063ebf12edd38b
https://doi.org/10.1007/978-3-030-21074-8_4
https://doi.org/10.1007/978-3-030-21074-8_4
Publikováno v:
Scopus-Elsevier
VISIGRAPP (5: VISAPP)
VISIGRAPP (5: VISAPP)
Recent advancements in parallel computing, GPU technology and deep learning provide a new platform for complex image processing tasks such as person detection to flourish. Person detection is fundamental preliminary operation for several high level c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cd9cb2922b82d3f1136070e1bd7b46d
http://arxiv.org/abs/1812.03451
http://arxiv.org/abs/1812.03451
Publikováno v:
2018 25th IEEE International Conference on Image Processing (ICIP)
ICIP
ICIP
In this work, we extract rich representations of crowd behavior from video using a fine-tuned deep convolutional neural residual network. Using spatial partitioning trees we create subclasses within the feature maps from each of the crowd behavior at
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6481e0aacefc45cba7a64f6c69bb2ea9
https://eprints.kingston.ac.uk/id/eprint/43016/1/Fajtl-J-43016-AAM.pdf
https://eprints.kingston.ac.uk/id/eprint/43016/1/Fajtl-J-43016-AAM.pdf
Publikováno v:
CVPR
CVPR 2018
CVPR 2018
In this paper we present the design and evaluation of an end-to-end trainable, deep neural network with a visual attention mechanism for memorability estimation in still images. We analyze the suitability of transfer learning of deep models from imag
Publikováno v:
ACM Transactions on Multimedia Computing, Communications & Applications; Jul2024, Vol. 20 Issue 7, p1-20, 20p