Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Zhikang Zou"'
Publikováno v:
IEEE Access, Vol 7, Pp 22457-22470 (2019)
Video-based person re-identification aims to retrieve video sequences of the same person in the multi-camera system. In this paper, we propose a k -reciprocal harmonious attention network (KHAN) to jointly learn discriminative spatiotemporal features
Externí odkaz:
https://doaj.org/article/5b6955e26c664fb7baa8e33d5e1c7402
Publikováno v:
IEEE Access, Vol 6, Pp 60745-60756 (2018)
The major challenges for accurate crowd counting stem from the large variations in the scale, shape, and perspective. In fact, dealing with such difficulties depends on the geometric transformation capabilities of the network. Thus, we propose the de
Externí odkaz:
https://doaj.org/article/9d60b06637e2480c8aaa681c2c6a9a4d
Autor:
Qingyu Liu, Zhengfei Yang, Tao Liu, Jinhui Cai, Zhifeng Liu, Zhikang Zou, Yeping Yao, Qiwen Wu
Publikováno v:
J Thorac Dis
Background To investigate whether asymptomatic close-contact family members of patients diagnosed with coronavirus disease (COVID-19) should immediately undergo CT screening in addition to the viral nucleic acid test. Methods We retrospectively analy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4dc5bf586c92a1c492dd952ec02b934f
https://doi.org/10.21037/jtd-20-955
https://doi.org/10.21037/jtd-20-955
Recognizing human expression in videos is a challenging task due to dynamic changes in facial actions and diverse visual appearances. The key to design a reliable video-based expression recognition system is to extract robust spatial features and mak
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::222d410b5f7af01fae8ca664bdcc7e2b
https://hdl.handle.net/10453/166558
https://hdl.handle.net/10453/166558
Autor:
Yuxiang Zhao, Dongliang He, Xiao Tan, Yingying Li, Zhikang Zou, Yanwu Xu, Wenhao Wu, Zichao Dong, Mingde Yao, Jin Ye, Yifeng Shi
Publikováno v:
ACM Multimedia
Long-range and short-range temporal modeling are two complementary and crucial aspects of video recognition. Most of the state-of-the-arts focus on short-range spatio-temporal modeling and then average multiple snippet-level predictions to yield the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2296f4b0f71d06ecd92eb89065c8fb4
https://doi.org/10.1145/3474085.3475344
https://doi.org/10.1145/3474085.3475344
Publikováno v:
ACM Multimedia
Crowd counting has drawn much attention due to its importance in safety-critical surveillance systems. Especially, deep neural network (DNN) methods have significantly reduced estimation errors for crowd counting missions. Recent studies have demonst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d447e783bd3ef8dfe26a71b2696a553
https://doi.org/10.1145/3474085.3475378
https://doi.org/10.1145/3474085.3475378
Publikováno v:
ACM Multimedia
Recent deep networks have convincingly demonstrated high capability in crowd counting, which is a critical task attracting widespread attention due to its various industrial applications. Despite such progress, trained data-dependent models usually c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17b314fb25510ffa0ac87c8f4626e141
https://doi.org/10.1145/3474085.3475377
https://doi.org/10.1145/3474085.3475377
Autor:
Zhi Chen, Xiaoqing Ye, Wei Yang, Zhenbo Xu, Xiao Tan, Zhikang Zou, Errui Ding, Xinming Zhang, Liusheng Huang
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision (ICCV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b31cc80a07864b70fcdaa441deae6dc
https://doi.org/10.1109/iccv48922.2021.01524
https://doi.org/10.1109/iccv48922.2021.01524
Publikováno v:
Neurocomputing. 367:75-83
Crowd counting is a challenging task due to the large variations in crowd distributions. Previous methods tend to tackle the whole image with a single fixed structure, which is unable to handle diverse complicated scenes with different crowd densitie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f977dafbc8827bf4c6160b9e4155d035
https://doi.org/10.1016/j.neucom.2019.08.009
https://doi.org/10.1016/j.neucom.2019.08.009
Publikováno v:
IEEE Access, Vol 7, Pp 22457-22470 (2019)
Video-based person re-identification aims to retrieve video sequences of the same person in the multi-camera system. In this paper, we propose a k -reciprocal harmonious attention network (KHAN) to jointly learn discriminative spatiotemporal features
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9d7777ba71610825e00034c9fa83eb2
https://ieeexplore.ieee.org/document/8643936/
https://ieeexplore.ieee.org/document/8643936/