Zobrazeno 1 - 10
of 35
pro vyhledávání: '"MINH HOAI NGUYEN"'
Autor:
Farzana Z. Ali, Kenneth Wengler, Xiang He, Minh Hoai Nguyen, Ramin V. Parsey, Christine DeLorenzo
Publikováno v:
Neuroscience Informatics, Vol 2, Iss 4, Pp 100110- (2022)
Introduction: Pretreatment positron emission tomography (PET) with 2-deoxy-2-[18F]fluoro-D-glucose (FDG) and magnetic resonance spectroscopy (MRS) may identify biomarkers for predicting remission (absence of depression). Yet, no such image-based biom
Externí odkaz:
https://doaj.org/article/33ee92930f1842538e6e3c3252de373d
Publikováno v:
Communications of the ACM. Jul2023, Vol. 66 Issue 7, p75-76. 2p. 1 Color Photograph.
Autor:
Viresh Ranjan, Minh Hoai Nguyen
Publikováno v:
Computer Vision – ACCV 2022 ISBN: 9783031263156
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4867a46b67d0bf2392136ea9942001e2
https://doi.org/10.1007/978-3-031-26316-3_5
https://doi.org/10.1007/978-3-031-26316-3_5
Akademický článek
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Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2f81ac8629624824a9a13c53d1ef1d3
https://doi.org/10.2139/ssrn.4219649
https://doi.org/10.2139/ssrn.4219649
Publikováno v:
ICCV
We present Hand-CNN, a novel convolutional network architecture for detecting hand masks and predicting hand orientations in unconstrained images. Hand-CNN extends MaskRCNN with a novel attention mechanism to incorporate contextual cues in the detect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::566696ab05190ae941d1ac4ba2cf7751
https://doi.org/10.1109/iccv.2019.00966
https://doi.org/10.1109/iccv.2019.00966
Publikováno v:
2018 Physics Education Research Conference Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df273166cac453aaf489ded0aa703104
https://doi.org/10.1119/perc.2018.pr.rebello
https://doi.org/10.1119/perc.2018.pr.rebello
Publikováno v:
FG
Trajectory-pooled Deep-learning Descriptors have been the state-of-the-art feature descriptors for human action recognition in video on many datasets. This paper improves their performance by applying the proposed eigen-evolution pooling to each traj
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83ebf10190a870534077d88afedb848e
https://doi.org/10.1109/fg.2018.00076
https://doi.org/10.1109/fg.2018.00076
Publikováno v:
Computer Graphics Forum. Apr2008, Vol. 27 Issue 2, p627-635. 9p. 9 Color Photographs, 1 Diagram.