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pro vyhledávání: '"Damen, D."'
Autor:
Meng, Dechuan, Mukhitov, Nikita, Neitzey, Dana, Lucht, Matthew, Schaak, Damen D., Voigt, Christopher A.
Publikováno v:
In Metabolic Engineering July 2021 66:308-318
Autor:
Grauman K, Westbury A, Byrne E, Cartillier V, Chavis Z, Furnari A, Girdhar R, Hamburger J, Jiang H, Kukreja D, Liu M, Liu X, Martin M, Nagarajan T, Radosavovic I, Ramakrishnan SK, Ryan F, Sharma J, Wray M, Xu M, Xu EZ, Zhao C, Bansal S, Batra D, Crane S, Do T, Doulaty M, Erapalli A, Feichtenhofer C, Fragomeni A, Fu Q, Gebreselasie A, Gonzalez C, Hillis J, Huang X, Huang Y, Jia W, Khoo W, Kolar J, Kottur S, Kumar A, Landini F, Li C, Li Y, Li Z, Mangalam K, Modhugu R, Munro J, Murrell T, Nishiyasu T, Price W, Puentes PR, Ramazanova M, Sari L, Somasundaram K, Southerland A, Sugano Y, Tao R, Vo M, Wang Y, Wu X, Yagi T, Zhao Z, Zhu Y, Arbelaez P, Crandall D, Damen D, Farinella GM, Fuegen C, Ghanem B, Ithapu VK, Jawahar CV, Joo H, Kitani K, Li H, Newcombe R, Oliva A, Park HS, Rehg JM, Sato Y, Shi J, Shou MZ, Torralba A, Torresani L, Yan M, Malik J
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence [IEEE Trans Pattern Anal Mach Intell] 2024 Jul 26; Vol. PP. Date of Electronic Publication: 2024 Jul 26.
Akademický článek
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Akademický článek
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We introduce EPIC-SOUNDS, a large-scale dataset of audio annotations capturing temporal extents and class labels within the audio stream of the egocentric videos. We propose an annotation pipeline where annotators temporally label distinguishable aud
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d88ad57198c5a410dc78ef8863fee8d
Autor:
Dana Neitzey, Christopher A. Voigt, Damen D. Schaak, Matthew James Lucht, Nikita Mukhitov, De-Chuan Meng
Publikováno v:
Metabolic Engineering. 66:308-318
Achieving a high product titer through pathway optimization often requires screening many combinations of enzymes and genetic parts. Typically, a library is screened in a single chassis that is a model or production organism. Here, we present a techn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5043be86fe1e90bf4a9eaca91c5c40ac
https://doi.org/10.1016/j.ymben.2021.01.006
https://doi.org/10.1016/j.ymben.2021.01.006
Publikováno v:
Kazakos, V, Huh, J, Nagrani, A, Zisserman, A & Damen, D 2021, ' With a Little Help from my Temporal Context: Multimodal Egocentric Action Recognition ', Paper presented at The 32nd British Machine Vision Conference, 22/11/21-25/11/21 . < https://www.bmvc2021.com/ >
In egocentric videos, actions occur in quick succession. We capitalise on the action's temporal context and propose a method that learns to attend to surrounding actions in order to improve recognition performance. To incorporate the temporal context
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c5cf8ea96b115920cf76f238da9ea15
http://arxiv.org/abs/2111.01024
http://arxiv.org/abs/2111.01024
Publikováno v:
In Value in Health December 2023 26(12) Supplement:S338-S338