Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Bai, Hongliang"'
We aim to study the multi-scale receptive fields of a single convolutional neural network to detect faces of varied scales. This paper presents our Multi-Scale Receptive Field Face Detector (MSFD), which has superior performance on detecting faces at
Externí odkaz:
http://arxiv.org/abs/1903.04147
For visual tracking, most of the traditional correlation filters (CF) based methods suffer from the bottleneck of feature redundancy and lack of motion information. In this paper, we design a novel tracking framework, called multi-hierarchical indepe
Externí odkaz:
http://arxiv.org/abs/1811.10302
Publikováno v:
In Neurocomputing 13 November 2021 464:497-506
Publikováno v:
Health Science Reports; Apr2024, Vol. 7 Issue 4, p1-8, 8p
Autor:
Khan, Abidullah1 (AUTHOR), Bai, Hongliang1 (AUTHOR), Khan, Amin2 (AUTHOR), Bai, Zhuanli1 (AUTHOR) zhuanlibai@yeah.net
Publikováno v:
Experimental & Therapeutic Medicine. May2020, Vol. 19 Issue 5, p3189-3196. 8p.
Autor:
Bai, Hongliang, He, Shumin, Liu, Guolei, Cao, Qiang, Zhu, Dapeng, Chen, Yanxue, Yan, Shishen, Mei, Liangmo
Publikováno v:
In Physica B: Physics of Condensed Matter 15 June 2012 407(12):2126-2130
Autor:
Khan, Abidullah1, Bai, Hongliang1, Liu, Enqi2, Chen, Mingxia3, Yu, Chunshui4, Wang, Rui1, Khan, Amin5, Bai, Zhuanli1 zhuanlibai@yeah.net
Publikováno v:
Journal of Dermatological Treatment. Nov2018, Vol. 29 Issue 7, p733-741. 9p.
Publikováno v:
2019 IEEE 5th International Conference on Computer and Communications (ICCC).
Face recognition has achieved great success due to the development of Deep convolutional neural networks (DCNN). Loss functions with angular margin have been proposed to supervise DCNN for better feature representation. However, these methods would s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72e9bd03c74949ebc1ed35e4ac5c6f56
https://doi.org/10.1109/iccc47050.2019.9064427
https://doi.org/10.1109/iccc47050.2019.9064427
Publikováno v:
VCIP
This paper addresses the problem of pedestrian attribute recognition. Previous works typically treat the different attributes independently with each other, without considering possible dependencies between them, or just take semantic relations or sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2af80e37cf7913db931724ac225b3269
https://doi.org/10.1109/vcip47243.2019.8965877
https://doi.org/10.1109/vcip47243.2019.8965877
Publikováno v:
ICPR
We aim to study the multi-scale receptive fields of a single convolutional neural network to detect faces of varied scales. This paper presents our Multi-Scale Receptive Field Face Detector (MSFD), which has superior performance on detecting faces at
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2345c3a9f4f1b35aab9233a3f56f2049
http://arxiv.org/abs/1903.04147
http://arxiv.org/abs/1903.04147