Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Heyu ZHOU"'
Publikováno v:
水下无人系统学报, Vol 32, Iss 1, Pp 124-129 (2024)
With the development of underwater acoustic technology, underwater acoustic networks(UANs) have attracted much attention due to their performance in marine surveillance, disaster warning, and ocean security. The underwater acoustic channel is a cruci
Externí odkaz:
https://doaj.org/article/d0a6ded76f8b458b8e6bc3ef928f87c9
Autor:
Xutao Xi, Arshad Mehmood, Pengyan Niu, Jinjie Yang, Yintian Wang, Heyu Zhou, Xiaohui Han, Lifen Ma, Shiying Jin, Yinxia Wu
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-8 (2022)
Abstract Knee osteoarthritis (OA) is the most prevalent type of OA, and Toll-like receptor 7 (TLR7) may lead to the pathogenesis of OA. Recently, X-linked TLR7 polymorphism has been confirmed to be associated with arthritis. However, there is a lack
Externí odkaz:
https://doaj.org/article/6bb7ac395550489694c2170bc8be3acd
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 32:8010-8021
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d19287e8e4a373fbcef893856662e63d
https://doi.org/10.1109/tcsvt.2022.3182533
https://doi.org/10.1109/tcsvt.2022.3182533
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 32:7147-7159
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f17b17536e6104c85a1359024b9d3ac
https://doi.org/10.1109/tcsvt.2022.3168967
https://doi.org/10.1109/tcsvt.2022.3168967
Autor:
An-An Liu, Wu Liu, Zhenguang Liu, Weizhi Nie, Xuanya Li, Dan Song, Hongtao Xie, Heyu Zhou, Zhendong Mao
Publikováno v:
Information Sciences. 547:984-995
Recent advances in 3D sensors and 3D modelling software have led to big 3D data. 3D object classification and retrieval are becoming important but challenging tasks. One critical problem for them is how to learn the discriminative multi-view visual c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d54a06e19f4b9d7f15b3e37d253ad6d6
https://doi.org/10.1016/j.ins.2020.09.057
https://doi.org/10.1016/j.ins.2020.09.057
Publikováno v:
IEEE Transactions on Multimedia. 22:1496-1506
In this paper, we propose the multi-view saliency guided deep neural network (MVSG-DNN) for 3D object retrieval and classification. This method mainly consists of three key modules. First, the module of model projection rendering is employed to captu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::602147b69438447f23307bd58ac5601b
https://doi.org/10.1109/tmm.2019.2943740
https://doi.org/10.1109/tmm.2019.2943740
Semantic and Context Information Fusion Network for View-Based 3D Model Classification and Retrieval
Publikováno v:
IEEE Access, Vol 8, Pp 155939-155950 (2020)
In recent years, with the rapid development of 3D technology, view-based methods have shown excellent performance in both 3D model classification and retrieval tasks. In view-based methods, how to aggregate multi-view features is a key issue. There a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60daf451792a18e4d7972e1ac7029827
https://ieeexplore.ieee.org/document/9174734/
https://ieeexplore.ieee.org/document/9174734/
Publikováno v:
Multimedia Tools and Applications. 79:4699-4711
We propose a discriminative Multi-View Attentional Convolutional Neural Network, dubbed as MVA-CNN, which takes the multiple views of an shape as input and output the object category. Unlike previous view-based approaches that simply ”compile” th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44003e17ba0060770ca9c617f57b2fd0
https://doi.org/10.1007/s11042-019-7521-8
https://doi.org/10.1007/s11042-019-7521-8
Publikováno v:
Optical Materials. 88:97-102
Transparent Ce:GdYAG ceramic phosphors with different Gd3+ contents were successfully prepared by the solid-state reaction method. The absorption and emission properties were investigated at different temperatures. The highest luminous efficiency of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91316d46dac39d4e1b3a7e8dcd44d057
https://doi.org/10.1016/j.optmat.2018.11.031
https://doi.org/10.1016/j.optmat.2018.11.031
Publikováno v:
IEEE Access, Vol 7, Pp 153021-153030 (2019)
The rapid development of 3D technique has led to the dramatic increase in 3D data. The scalable and effective 3D object retrieval and classification algorithms become mandatory for large-scale 3D object management. One critical problem of view-based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da819324b80291a35c4528a133e6ad67
https://doi.org/10.1109/access.2019.2947245
https://doi.org/10.1109/access.2019.2947245