Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Jun Hao Liew"'
Autor:
Teck-Hui Teo, Nurul N. Ayuni, Michelle Yin, Jun Hao Liew, Jason Q. Chen, Natalia Kurepina, Ravisankar Rajarethinam, Barry N. Kreiswirth, Liang Chen, Pablo Bifani
Publikováno v:
iScience, Vol 27, Iss 2, Pp 108875- (2024)
Summary: Klebsiella pneumoniae (Kp) infection is an important healthcare concern. The ST258 classical (c)Kp strain is dominant in hospital-acquired infections in North America and Europe, while ST23 hypervirulent (hv)Kp prevails in community-acquired
Externí odkaz:
https://doaj.org/article/b9f9486cddbb4a01860c5cd5a53c92f6
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. :1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10a9cd8b25f0106aa816235817b4813f
https://doi.org/10.1109/tpami.2022.3227116
https://doi.org/10.1109/tpami.2022.3227116
Publikováno v:
IEEE Transactions on Image Processing. 31:839-851
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5481d69046b9e6dedb9525d93daed38a
https://doi.org/10.1109/tip.2021.3135717
https://doi.org/10.1109/tip.2021.3135717
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198175
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74bd9e790a61beff084482d35743e277
https://doi.org/10.1007/978-3-031-19818-2_22
https://doi.org/10.1007/978-3-031-19818-2_22
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society.
Recent state-of-the-art one-stage instance segmentation model SOLO divides the input image into a grid and directly predicts per grid cell object masks with fully-convolutional networks, yielding comparably good performance as traditional two-stage M
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::06e6e008e3d7b1fd9336ca155dfcd444
https://pubmed.ncbi.nlm.nih.gov/34936556
https://pubmed.ncbi.nlm.nih.gov/34936556
Publikováno v:
CVPR
We consider the challenging multi-person 3D body mesh estimation task in this work. Existing methods are mostly two-stage based--one stage for person localization and the other stage for individual body mesh estimation, leading to redundant pipelines
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e57887be9496b4f61ece550f3c6233b
https://doi.org/10.1109/cvpr46437.2021.00061
https://doi.org/10.1109/cvpr46437.2021.00061
Publikováno v:
CVPR
State-of-the-art methods for semantic segmentation are based on deep neural networks that are known to be data-hungry. Region-based active learning has shown to be a promising method for reducing data annotation costs. A key design choice for region-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e38a1a376c255e994a12391953cbbd93
https://doi.org/10.1109/cvpr46437.2021.01084
https://doi.org/10.1109/cvpr46437.2021.01084
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 30
Feature pyramid network (FPN) based models, which fuse the semantics and salient details in a progressive manner, have been proven highly effective in salient object detection. However, it is observed that these models often generate saliency maps wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f4126fba4acae182516c9ed4f91e588
https://pubmed.ncbi.nlm.nih.gov/33872147
https://pubmed.ncbi.nlm.nih.gov/33872147
Publikováno v:
WACV
Existing deep learning based interactive segmentation methods have achieved remarkable performance with only a few user clicks, e.g. DEXTR [32] attaining 91.5% IoU on PASCAL VOC with only four extreme clicks. However, we observe even the state-of-the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::864ecab7baa24696eeb8be7658b2aca8
https://doi.org/10.1109/wacv48630.2021.00035
https://doi.org/10.1109/wacv48630.2021.00035
Publikováno v:
WACV
Contour-based instance segmentation methods are attractive due to their efficiency. However, existing contour-based methods either suffer from lossy representation, complex pipeline or difficulty in model training, resulting in sub-par mask accuracy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::157f4a0ee3846bd924c61132fa6d2f93
https://doi.org/10.1109/wacv48630.2021.00039
https://doi.org/10.1109/wacv48630.2021.00039