Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Haisheng Su"'
Autor:
Li Lin, Jincan Zhang, Haisheng Su, Jiayu Li, Luzhao Sun, Zihao Wang, Fan Xu, Chang Liu, Sergei Lopatin, Yihan Zhu, Kaicheng Jia, Shulin Chen, Dingran Rui, Jingyu Sun, Ruiwen Xue, Peng Gao, Ning Kang, Yu Han, H. Q. Xu, Yang Cao, K. S. Novoselov, Zhongqun Tian, Bin Ren, Hailin Peng, Zhongfan Liu
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-7 (2019)
The intrinsic properties of graphene and the resulting device performance are hindered by the impurities produced during the synthesis process. Here, the authors elucidate the origin of contaminations in CVD-grown graphene and devise a strategy towar
Externí odkaz:
https://doaj.org/article/eb928c0f04c149abbcad8aca070c4b4a
Autor:
Fanfan Lu, Tengxiang Huang, Lei Han, Haisheng Su, Heng Wang, Min Liu, Wending Zhang, Xiang Wang, Ting Mei
Publikováno v:
Sensors, Vol 18, Iss 11, p 3841 (2018)
We investigated tip-enhanced Raman spectra excited by high-order fiber vector beams. Theoretical analysis shows that the high-order fiber vector beams have stronger longitudinal electric field components than linearly polarized light under tight focu
Externí odkaz:
https://doaj.org/article/dabee4cffd394367b9d575cb8a1c093e
Publikováno v:
Minerva Medica.
Autor:
Hongyang Li, Jingxin Huang, Kang Yang, Zhixuan Lu, Sen Yan, Haisheng Su, Chuan Liu, Xiang Wang, Bin Ren
Publikováno v:
The Journal of Physical Chemistry Letters. 13:479-485
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Publikováno v:
IEEE Transactions on Multimedia. 23:1503-1515
Despite remarkable progress, temporal action detection is still limited for real application due to the great amount of manual annotations. This issue motivates interest in addressing this task under weak supervision, namely, locating the action inst
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 30:4899-4912
Temporal action proposal generation is an important yet challenging problem, since temporal proposals with rich action content are indispensable for analysing real-world videos with long duration and high proportion irrelevant content. This problem r
Publikováno v:
IEEE Transactions on Multimedia. 21:363-374
Action recognition is an important and popular area in computer vision. Because of the helpfulness of action recognition of the skeleton and the development of related pose estimation techniques, action recognition based on skeleton data has drawn co
Publikováno v:
Computer Vision – ACCV 2020 ISBN: 9783030695408
ACCV (5)
ACCV (5)
Despite the great progress in temporal action proposal generation, most state-of-the-art methods ignore the impact of action scales and the performance of short actions is still far from satisfaction. In this paper, we first analyze the sample imbala
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6627b21d6b1e0218a61b5a568d308ce5
https://doi.org/10.1007/978-3-030-69541-5_32
https://doi.org/10.1007/978-3-030-69541-5_32
Autor:
Nong Sang, Dongliang Wang, Xiang Wang, Yu Qiao, Weihao Gan, Zhiwu Qing, Wei Wu, Changxin Gao, Haisheng Su, Junjie Yan
Publikováno v:
CVPR
Temporal action proposal generation aims to estimate temporal intervals of actions in untrimmed videos, which is a challenging yet important task in the video understanding field. The proposals generated by current methods still suffer from inaccurat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a98262d542d734cc8faf58845caaa1c