Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Danai Triantafyllidou"'
Autor:
Nele Gerrits, Bart Elen, Toon Van Craenendonck, Danai Triantafyllidou, Ioannis N. Petropoulos, Rayaz A. Malik, Patrick De Boever
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-1 (2021)
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Externí odkaz:
https://doaj.org/article/7d650f6c34b4414c90d14357a81f8054
Autor:
Rayaz A. Malik, Ioannis N. Petropoulos, Toon Van Craenendonck, Patrick De Boever, Nele Gerrits, Bart Elen, Danai Triantafyllidou
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-9 (2020)
Scientific Reports
Scientific reports
Scientific Reports
Scientific reports
Deep neural networks can extract clinical information, such as diabetic retinopathy status and individual characteristics (e.g. age and sex), from retinal images. Here, we report the first study to train deep learning models with retinal images from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b4ecdf92d777f3dab197b79cb210c6d
https://doi.org/10.1038/s41598-020-65794-4
https://doi.org/10.1038/s41598-020-65794-4
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030586003
ECCV (13)
ECCV (13)
Advances in low-light video RAW-to-RGB translation are opening up the possibility of fast low-light imaging on commodity devices (e.g. smartphone cameras) without the need for a tripod. However, it is challenging to collect the required paired short-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a27ffda66b7a1fe16777daeca4afa1a7
https://doi.org/10.1007/978-3-030-58601-0_7
https://doi.org/10.1007/978-3-030-58601-0_7
Publikováno v:
Big Data Research
Face detection constitutes a key visual information analysis task in Machine Learning. The rise of Big Data has resulted in the accumulation of a massive volume of visual data which requires proper and fast analysis. Deep Learning methods are powerfu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5a94d86db0212f64d87552028c164d7
https://doi.org/10.1016/j.bdr.2017.06.002
https://doi.org/10.1016/j.bdr.2017.06.002
Publikováno v:
2019 IEEE International Conference on Image Processing (ICIP)
ICIP
ICIP
In this paper, we address the problem of lightweight and effective visual object tracking and we present a real-time tracking system suitable for integration in embedded autonomous platforms. We propose a novel tracking framework for classification-b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aea34012bbabeb130e2f6f344c7acfeb
Autor:
Patrick De Boever, Ioannis N. Petropoulos, Nele Gerrits, Toon Van Craenendonck, Bart Elen, Rayaz A. Malik, Danai Triantafyllidou
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-1 (2021)
Scientific Reports
Scientific Reports
Deep neural networks can extract clinical information, such as diabetic retinopathy status and individual characteristics (e.g. age and sex), from retinal images. Here, we report the first study to train deep learning models with retinal images from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bcf6f0dccc1883ab8994b6a44643dbfa
https://doaj.org/article/7d650f6c34b4414c90d14357a81f8054
https://doaj.org/article/7d650f6c34b4414c90d14357a81f8054
Publikováno v:
Signal Processing: Image Communication. 88:115969
In this paper, we address the problem of long-term visual object tracking and we present an efficient real-time single object tracking system suitable for integration in autonomous platforms that need to encompass intelligent capabilities. We propose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1f918abf12e7b490057141b7be36192
https://doi.org/10.1016/j.image.2020.115969
https://doi.org/10.1016/j.image.2020.115969
Publikováno v:
EUSIPCO
2017 25th European Signal Processing Conference (EUSIPCO)
2017 25th European Signal Processing Conference (EUSIPCO)
Video capturing using Unmanned Aerial Vehicles provides cinematographers with impressive shots but requires very adept handling of both the drone and the camera. Deep Learning techniques can be utilized in this process to facilitate the video shootin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e64c230115b34b45155d0c5a3768981d
Publikováno v:
ICPR
Deep learning methods are powerful approaches but often require expensive computations and lead to models of high complexity which need to be trained with large amounts of data. In this paper, we consider the problem of face detection and we propose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a86388e2fd78aee37f0bbfcacbe7f5be
https://doi.org/10.1109/icpr.2016.7900186
https://doi.org/10.1109/icpr.2016.7900186
Publikováno v:
Advances in Big Data ISBN: 9783319478975
INNS Conference on Big Data
INNS Conference on Big Data
Deep learning methods are powerful approaches but often require expensive computations and lead to models of high complexity which need to be trained with large amounts of data. In this paper, we consider the problem of face detection and we propose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85152df59df07625513e6a0c404b81e4
https://doi.org/10.1007/978-3-319-47898-2_7
https://doi.org/10.1007/978-3-319-47898-2_7