Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Dinh Anh Le"'
DAKRS: Domain Adaptive Knowledge-Based Retrieval System for Natural Language-Based Vehicle Retrieval
Publikováno v:
IEEE Access, Vol 11, Pp 90951-90965 (2023)
Given Natural Language (NL) text descriptions, NL-based vehicle retrieval aims to extract target vehicles from a multi-view multi-camera traffic video pool. Solutions to the problem have been challenged by not only inherent distinctions between textu
Externí odkaz:
https://doaj.org/article/4db103a1c6fb4900aeca6c698864fa51
Autor:
Nhat Minh Chung, Huy Dinh-Anh Le, Vuong Ai Nguyen, Quang Qui-Vinh Nguyen, Thong Duy-Minh Nguyen, Tin-Trung Thai, Synh Viet-Uyen Ha
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
Autor:
Huy Dinh-Anh Le, Quang Qui-Vinh Nguyen, Vuong Ai Nguyen, Thong Duy-Minh Nguyen, Nhat Minh Chung, Tin-Trung Thai, Synh Viet-Uyen Ha
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
Autor:
Tin-Trung Thai, Synh Viet-Uyen Ha, Thong Duy-Minh Nguyen, Huy Dinh-Anh Le, Nhat Minh Chung, Quang Qui-Vinh Nguyen, Vuong Ai-Nguyen
Publikováno v:
Intelligent Information and Database Systems ISBN: 9783031217425
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73abe6c48d580f0ab534ed7b74db1594
https://doi.org/10.1007/978-3-031-21743-2_22
https://doi.org/10.1007/978-3-031-21743-2_22
Comparison of Numerical and Experimental Methods in Determining Boundary Layer of Axisymmetric Model
Publikováno v:
Lecture Notes in Mechanical Engineering ISBN: 9783030996659
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4288382e97eb228c5597cdfe10102dfe
https://doi.org/10.1007/978-3-030-99666-6_45
https://doi.org/10.1007/978-3-030-99666-6_45
Publikováno v:
The AUN/SEED-Net Joint Regional Conference in Transportation, Energy, and Mechanical Manufacturing Engineering ISBN: 9789811919671
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::549f2394dfc200e18380f1fb6c24ca87
https://doi.org/10.1007/978-981-19-1968-8_60
https://doi.org/10.1007/978-981-19-1968-8_60