Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Shichen Lu"'
Publikováno v:
Applied Sciences, Vol 9, Iss 14, p 2888 (2019)
In the task of image captioning, learning the attentive image regions is necessary to adaptively and precisely focus on the object semantics relevant to each decoded word. In this paper, we propose a convolutional attention module that can preserve t
Externí odkaz:
https://doaj.org/article/b651abaedb404bc88fb7bf67aed6a38a
Publikováno v:
Journal of Industrial and Engineering Chemistry. 122:378-388
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f013ce184aae6d11f13d115c370a5947
https://doi.org/10.1016/j.jiec.2023.02.038
https://doi.org/10.1016/j.jiec.2023.02.038
Autor:
Gang Shao, Mingliang Li, Shichen Lu, Daoyang Han, Hongxia Lu, Hongliang Xu, Bo Song, Rui Zhao, Bingbing Fan, Hailong Wang, Rui Zhang
Publikováno v:
Ceramics International. 48:2882-2885
In this study, impedance spectroscopy with direct current (DC) bias was used to analyze the electric property and oxygen vacancies of flash–sintered 3 mol% Y2O3 doped tetragonal zirconia polycrystalline (3Y–TZP) ceramics at anode, middle, cathode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa039ccc2c0d32d116ffea3fd5a09916
https://doi.org/10.1016/j.ceramint.2021.09.265
https://doi.org/10.1016/j.ceramint.2021.09.265
Autor:
Keenan Burnett, David J Yoon, Yuchen Wu, Andrew Z Li, Haowei Zhang, Shichen Lu, Jingxing Qian, Wei-Kang Tseng, Andrew Lambert, Keith YK Leung, Angela P Schoellig, Timothy D Barfoot
The Boreas dataset was collected by driving a repeated route over the course of one year, resulting in stark seasonal variations and adverse weather conditions such as rain and falling snow. In total, the Boreas dataset includes over 350km of driving
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09380dd13e27e7c9fc7dbdcaa79b90ce
http://arxiv.org/abs/2203.10168
http://arxiv.org/abs/2203.10168
Publikováno v:
IEEE Transactions on Multimedia. 22:2149-2162
The encoder-decoder framework has been the base of popular image captioning models, which typically predicts the target sentence based on the encoded source image one word at a time in sequence. However, such a single-pass decoding framework encounte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d610742948ccc1ec32be3a17f2b710e
https://doi.org/10.1109/tmm.2019.2951226
https://doi.org/10.1109/tmm.2019.2951226
Autor:
Kaicheng Zhang, Keenan Burnett, Linqiao Liu, Michael J. Sorocky, Sepehr Samavi, Timothy D. Barfoot, Arkady Arkhangorodsky, Angela P. Schoellig, Mollie Bianchi, Yizhou Huang, Jingxing Qian, Quinlan Sykora, Susan Sun, Xintong Du, Tianchang Shen, Shichen Lu, David J. Yoon
Publikováno v:
Journal of Field Robotics. 38:139-166
The SAE AutoDrive Challenge is a three-year collegiate competition to develop a self-driving car by 2020. The second year of the competition was held in June 2019 at MCity, a mock town built for self-driving car testing at the University of Michigan.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78f932d7d88aa0fa6c8b03ac57c2f8a7
https://doi.org/10.1002/rob.21958
https://doi.org/10.1002/rob.21958
Autor:
Jinling Liu, Linan An, Wen Liu, Gang Shao, Rui Zhang, Dianguang Liu, Hailong Wang, Rui Zhao, Shichen Lu, Hongxia Lu
Publikováno v:
Ceramics International. 46:5715-5718
The electric conductivity of zirconia in the steady stage of flash sintering is measured under various current densities. We find that the steady stage conductivity ( σ s ) is higher than the normal conductivity ( σ n ) measured at non-flashing con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f095f03c7b7ec021d6413edaffeb619
https://doi.org/10.1016/j.ceramint.2019.11.019
https://doi.org/10.1016/j.ceramint.2019.11.019
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86d1ac758db964d785ea6d375c68acac
https://doi.org/10.2139/ssrn.4011872
https://doi.org/10.2139/ssrn.4011872
Publikováno v:
CVPR
Self-attention (SA) network has shown profound value in image captioning. In this paper, we improve SA from two aspects to promote the performance of image captioning. First, we propose Normalized Self-Attention (NSA), a reparameterization of SA that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4bd754b3a2c50e9e4734d4f30c7176d3
http://arxiv.org/abs/2003.08897
http://arxiv.org/abs/2003.08897
Publikováno v:
Applied Sciences, Vol 9, Iss 14, p 2888 (2019)
Applied Sciences
Volume 9
Issue 14
Applied Sciences
Volume 9
Issue 14
In the task of image captioning, learning the attentive image regions is necessary to adaptively and precisely focus on the object semantics relevant to each decoded word. In this paper, we propose a convolutional attention module that can preserve t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::784d7b0f7904a34057334b76152bc32f
https://www.mdpi.com/2076-3417/9/14/2888
https://www.mdpi.com/2076-3417/9/14/2888