Zobrazeno 1 - 10
of 184
pro vyhledávání: '"Liang, Qihua"'
How to effectively exploit spatio-temporal information is crucial to capture target appearance changes in visual tracking. However, most deep learning-based trackers mainly focus on designing a complicated appearance model or template updating strate
Externí odkaz:
http://arxiv.org/abs/2401.03142
Online contextual reasoning and association across consecutive video frames are critical to perceive instances in visual tracking. However, most current top-performing trackers persistently lean on sparse temporal relationships between reference and
Externí odkaz:
http://arxiv.org/abs/2401.01686
In this paper, we present a simple, flexible and effective vision-language (VL) tracking pipeline, termed \textbf{MMTrack}, which casts VL tracking as a token generation task. Traditional paradigms address VL tracking task indirectly with sophisticat
Externí odkaz:
http://arxiv.org/abs/2308.14103
Publikováno v:
In Sensors and Actuators: B. Chemical 15 September 2024 415
Publikováno v:
In Journal of Alloys and Compounds 5 January 2025 1010
Publikováno v:
In Journal of Colloid And Interface Science 15 July 2024 666:560-571
Publikováno v:
In Materials Today Communications March 2024 38
Autor:
Dai, Xingyi, Liang, Qihua, Zhao, Zi-Han, Wu, Yinghui, Yang, Jingkun, Han, Jiaxin, Cao, Yajun, Wang, Yiping, Li, Cheng-Hui, Zhong, Aihua, Huang, Long-Biao
Publikováno v:
In Nano Energy March 2024 121
Autor:
Feng, Lin, Feng, Qingge, Liang, Qihua, Qi, Yuan, Qin, Fanghong, Chen, Kao, Huang, Xiaoxiao, Liu, Junyi, Huang, Zhuoyan
Publikováno v:
In Journal of Environmental Chemical Engineering October 2023 11(5)
Akademický článek
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