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Jiri Fajtl
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Citata da
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Anno
Summarizing Videos with Attention
J Fajtl, HS Sokeh, V Argyriou, D Monekosso, P Remagnino
Asian Conference on Computer Vision, 39-54, 2018
1952018
AMNet: Memorability Estimation with Attention
J Fajtl, V Argyriou, D Monekosso, P Remagnino
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
662018
A comparison of embedded deep learning methods for person detection
CE Kim, MMD Oghaz, J Fajtl, V Argyriou, P Remagnino
arXiv preprint arXiv:1812.03451, 2018
492018
Improving dataset volumes and model accuracy with semi-supervised iterative self-learning
R Dupre, J Fajtl, V Argyriou, P Remagnino
IEEE Transactions on Image Processing 29, 4337-4348, 2019
212019
Latent Bernoulli Autoencoder
J Fajtl, V Argyriou, D Monekosso, P Remagnino
International Conference on Machine Learning (ICML 2020) 37, 5524-5534, 2020
132020
Deep residual network with subclass discriminant analysis for crowd behavior recognition
B Mandal, J Fajtl, V Argyriou, D Monekosso, P Remagnino
2018 25th IEEE International Conference on Image Processing (ICIP), 938-942, 2018
82018
Amnet: Memorability estimation with attention. arxiv 2018
J Fajtl, V Argyriou, D Monekosso, P Remagnino
arXiv preprint arXiv:1804.03115, 1804
81804
A comparison of embedded deep learning methods for person detection. arXiv 2018
CE Kim, MMD Oghaz, J Fajtl, V Argyriou, P Remagnino
arXiv preprint arXiv:1812.03451, 0
5
Two-year recall for people with no diabetic retinopathy: a multi-ethnic population-based retrospective cohort study using real-world data to quantify the effect
A Olvera-Barrios, AR Rudnicka, J Anderson, L Bolter, R Chambers, ...
British Journal of Ophthalmology 107 (12), 1839-1845, 2023
32023
Iterative Self-Learning: Semi-Supervised Improvement to Dataset Volumes and Model Accuracy.
R Dupre, J Fajtl, V Argyriou, P Remagnino
CVPR Workshops, 79-82, 2019
32019
What are the perceptions and concerns of people living with diabetes and National Health Service staff around the potential implementation of AI-assisted screening for diabetic …
K Willis, UAR Chaudhry, L Chandrasekaran, C Wahlich, A Olvera-Barrios, ...
BMJ open 13 (11), e075558, 2023
2023
Ethnic disparities in progression rates for sight-threatening diabetic retinopathy in diabetic eye screening: a population-based retrospective cohort study
A Olvera-Barrios, CG Owen, J Anderson, AN Warwick, R Chambers, ...
BMJ Open Diabetes Research and Care 11 (6), e003683, 2023
2023
Sociodemographic differences in performance and perceptions of Artificial Intelligence automated retinal image analysis systems (ARIAS) for the detection of diabetic …
A Rudnicka, J Fajtl, K Willis, L Chandrasekaran, U Chaudhry, ...
Investigative Ophthalmology & Visual Science 64 (8), 2279-2279, 2023
2023
Association between diabetic macular edema and mortality independent of retinopathy (R) grade-The North East London Diabetic Eye Screening Programme (DESP) Study
A Olvera-Barrios, CG Owen, J Anderson, R Chambers, L Bolter, ...
Investigative Ophthalmology & Visual Science 64 (8), 2283-2283, 2023
2023
Protocol: What are the perceptions and concerns of people living with diabetes and National Health Service staff around the potential implementation of AI-assisted screening …
K Willis, UAR Chaudhry, L Chandrasekaran, C Wahlich, A Olvera-Barrios, ...
BMJ Open 13 (11), 2023
2023
Visual memories
J Fajtl
Kingston University, 2021
2021
Unsupervised Methods for a Personalised Route Recommendation System
J Fajtl, L Vitali, V Argyriou, D Monekosso, P Remagnino
2020 12th International Symposium on Communication Systems, Networks and …, 2020
2020
A Comparison of Embedded Deep Learning Methods for Person Detection
C Eunhyang Kim, M Maktab Dar Oghaz, J Fajtl, V Argyriou, P Remagnino
arXiv e-prints, arXiv: 1812.03451, 2018
2018
Latent Bernoulli Autoencoder Supplementary Material ICML 2020
J Fajtl, V Argyriou, D Monekosso, P Remagnino
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–19