Zobrazeno 1 - 10
of 197
pro vyhledávání: '"Martin D. Levine"'
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
We present a deep recurrent convolutional neural network (CNN) approach to solve the problem of hockey player identification in NHL broadcast videos. Player identification is a difficult computer vision problem mainly because of the players’ simila
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59c9b9bd9696294671897e833f2ddc9a
http://arxiv.org/abs/2009.02429
http://arxiv.org/abs/2009.02429
Publikováno v:
Journal of dentistry. 104
Objectives Dentifrices containing zinc reduce gingival inflammation and bleeding better than control dentifrices (no zinc). How zinc might work is not understood. We have shown that lysine decarboxylase (LdcE), an enzyme from Eikenella corrodens, con
Publikováno v:
IEEE Transactions on Image Processing. 27:1433-1447
An appearance model is critical for most modern trackers. While numerous novel appearance models have been proposed with demonstrated success, challenges such as occlusion and drifting are still not well addressed. In this paper, we propose a novel c
Publikováno v:
Journal of Visual Communication and Image Representation. 51:70-75
Early event detection is intended to flag an event as early as possible, but before it terminates. It is critical for detecting on-going events in many applications such as spotting dangerous or criminal incidents. In this letter, we address this iss
Autor:
Martin D. Levine, Zsolt Lohinai
Publikováno v:
Journal of Clinical Medicine
Journal of Clinical Medicine, Vol 10, Iss 2360, p 2360 (2021)
Journal of Clinical Medicine, Vol 10, Iss 2360, p 2360 (2021)
Periodontal disease is a common, bacterially mediated health problem worldwide. Mastication (chewing) repeatedly traumatizes the gingiva and periodontium, causing traces of inflammatory exudate, gingival crevicular fluid (GCF), to appear in crevices
Publikováno v:
Neurocomputing. 260:43-58
We introduce a novel approach to the problem of human fall detection in naturally occurring scenes. This is important because falling incidents cause thousands of deaths every year and vision-based approaches offer a promising and effective way to de
Publikováno v:
IEEE Signal Processing Letters. 24:853-857
In this letter, we introduce an adaptive metric learning (AML) method for person reidentification. Different from conventional metric learning approaches, which treat all the negative samples equally, AML adaptively classifies the negative samples in
Autor:
Katherin Estlin, Dan Cherkin, Martin D. Levine, Sarah Evers, Benjamin H. Balderson, Clarissa Hsu, Karen J. Sherman, Nadine E. Foster
Publikováno v:
Pain Med
Objective To support implementation of effective treatments for back pain that can be delivered to a range of people, we summarize learnings from our process evaluation of the MATCH trial’s implementation of an adaptation of the STarT Back risk-str
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51258eeb4210fb5d0a478446af1c8ec6
Autor:
Anne-Marie LaPorte, Nadine E. Foster, Martin D. Levine, Gail Sowden, Diane Piekara, Sarah Evers, Andrea J. Cook, Rene J. Hawkes, Clarissa Hsu, Katherine Talbert Estlin, John Yeoman, Dan Cherkin, Jonathan C. Hill, Georgie Brewer, Pam Rock, Benjamin H. Balderson, Karen J. Sherman, Robert J. Wellman, Mark Jensen Jensen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4699247e8c4530ea9ca9a83e64ab26a4
https://doi.org/10.25302/11.2018.cer.398
https://doi.org/10.25302/11.2018.cer.398