Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Issam H. Laradji"'
Autor:
Issam H. Laradji, Alzayat Saleh, Pau Rodriguez, Derek Nowrouzezahrai, Mostafa Rahimi Azghadi, David Vazquez
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract Estimating fish body measurements like length, width, and mass has received considerable research due to its potential in boosting productivity in marine and aquaculture applications. Some methods are based on manual collection of these meas
Externí odkaz:
https://doaj.org/article/9de071b756e24d92ac88cac60a6b6108
Autor:
Michael Bradley, Issam H. Laradji, Dmitry A. Konovalov, Marcus Sheaves, David Vazquez, Alzayat Saleh
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-10 (2020)
Scientific Reports
Scientific Reports
Visual analysis of complex fish habitats is an important step towards sustainable fisheries for human consumption and environmental protection. Deep Learning methods have shown great promise for scene analysis when trained on large-scale datasets. Ho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ba049d88eb9a0ac3853bee312648d9d
http://link.springer.com/article/10.1038/s41598-020-71639-x
http://link.springer.com/article/10.1038/s41598-020-71639-x
Recent work has made significant progress in learning object meshes with weak supervision. Soft Rasterization methods have achieved accurate 3D reconstruction from 2D images with viewpoint supervision only. In this work, we further reduce the labelin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3915f5b5c8d2baf8bd18dbdde9eee85
http://arxiv.org/abs/2108.09593
http://arxiv.org/abs/2108.09593
Autor:
Mostafa Rahimi Azghadi, David Vazquez, Alzayat Saleh, Corey Lammie, Issam H. Laradji, Carol Ann Flavell
Publikováno v:
IEEE journal of biomedical and health informatics. 25(10)
Health professionals extensively use Two- Dimensional (2D) Ultrasound (US) videos and images to visualize and measure internal organs for various purposes including evaluation of muscle architectural changes. US images can be used to measure abdomina
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85b53b709f3345e15f0f3385dc1b169e
https://pubmed.ncbi.nlm.nih.gov/34057902
https://pubmed.ncbi.nlm.nih.gov/34057902
Autor:
David Vazquez, Alzayat Saleh, Derek Nowrouzezahrai, Mostafa Rahimi Azghadi, Issam H. Laradji, Pau Rodriguez
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Scientific Reports
Scientific Reports
Estimating fish body measurements like length, width, and mass has received considerable research due to its potential in boosting productivity in marine and aquaculture applications. Some methods are based on manual collection of these measurements
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f210542330a36123276a85573d0f1215
https://doi.org/10.21203/rs.3.rs-253336/v1
https://doi.org/10.21203/rs.3.rs-253336/v1
Publikováno v:
WACV
Data augmentation is a key practice in machine learning for improving generalization performance. However, finding the best data augmentation hyperparameters requires domain knowledge or a computationally demanding search. We address this issue by pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71a2889de1a4250484bb9ec20aadf808
https://doi.org/10.1109/wacv48630.2021.00173
https://doi.org/10.1109/wacv48630.2021.00173
Publikováno v:
ICIP
Acquiring count annotations generally requires less human effort than point-level and bounding box annotations. Thus, we propose the novel problem setup of localizing objects in dense scenes under this weaker supervision. We propose LOOC, a method to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00ff700a3afee262a8c2d96cb3d22657
https://doi.org/10.1109/icip40778.2020.9191122
https://doi.org/10.1109/icip40778.2020.9191122
Publikováno v:
ICIP
Instance segmentation methods often require costly per-pixel labels. We propose a method called WISE-Net that only requires point-level annotations. During training, the model only has access to a single pixel label per object, yet the task is to out
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a843ed6f50a33507fcbefb761a74d85c
https://doi.org/10.1109/icip40778.2020.9190782
https://doi.org/10.1109/icip40778.2020.9190782
Autor:
Marco Law, Issam H. Laradji, Derek Nowrouzezahrai, Keegan Lensink, Oscar Mañas, William Parker, Lironne Kurzman, David Vazquez, Pau Rodríguez
Publikováno v:
WACV
Coronavirus Disease 2019 (COVID-19) has spread aggressively across the world causing an existential health crisis. Thus, having a system that automatically detects COVID-19 in tomography (CT) images can assist in quantifying the severity of the illne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::889047f350645c269799c59374a92386
http://arxiv.org/abs/2007.02180
http://arxiv.org/abs/2007.02180
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585730
ECCV (26)
ECCV (26)
Few-shot classification is challenging because the data distribution of the training set can be widely different to the test set as their classes are disjoint. This distribution shift often results in poor generalization. Manifold smoothing has been
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56899d89a605b3e7d78afafc6d11d919
https://doi.org/10.1007/978-3-030-58574-7_8
https://doi.org/10.1007/978-3-030-58574-7_8