Zobrazeno 1 - 10
of 1 039
pro vyhledávání: '"Yang, XiaoYun"'
In this paper we introduce CUE-Net, a novel architecture designed for automated violence detection in video surveillance. As surveillance systems become more prevalent due to technological advances and decreasing costs, the challenge of efficiently m
Externí odkaz:
http://arxiv.org/abs/2404.18952
Autor:
Yang, Xiaoyun1 (AUTHOR), Guo, Lifang1 (AUTHOR), Chen, Xiaoxiong2 (AUTHOR), Zhang, Ju2 (AUTHOR), Xiang, Qiang1,2 (AUTHOR) xqiang@tmmu.edu.cn
Publikováno v:
Journal of Medical Education & Curricular Development. 12/18/2024, p1-7. 7p.
Publikováno v:
Emerging Markets Finance & Trade. 2024, Vol. 60 Issue 15, p3734-3752. 19p.
Autor:
Peng, Shiyi, Zheng, Ying, Liu, Jianhong, Chen, Sijing, Yang, Kaixuan, Wang, Wei, Ning, Gang, Tang, Xiao, Li, Lei, Ye, Zhijun, Ouyang, Yunwei, Huang, Zhongying, Ma, Qianhong, Yang, Fan, Xing, Aiyun, He, Yuedong, Wang, Ping, Yang, Xiaoyun, Peng, Zhilan
Publikováno v:
In Gynecologic Oncology December 2024 191:240-248
Autor:
He, Xingyi, Liu, Chen, Li, Xiaobing, Yang, Qian, Niu, Fumin, An, LiNa, Fan, Yuxin, Li, Yingying, Zhou, Ziteng, Zhou, Huan, Yang, Xiaoyun, Liu, Xiuhua
Publikováno v:
In International Journal of Biological Macromolecules November 2024 280 Part 2
Publikováno v:
In Food Chemistry 1 March 2025 467
Publikováno v:
In Composites Part B 1 February 2025 290
Autor:
Zhang, Hongrun, Meng, Yanda, Zhao, Yitian, Qiao, Yihong, Yang, Xiaoyun, Coupland, Sarah E., Zheng, Yalin
Multiple instance learning (MIL) has been increasingly used in the classification of histopathology whole slide images (WSIs). However, MIL approaches for this specific classification problem still face unique challenges, particularly those related t
Externí odkaz:
http://arxiv.org/abs/2203.12081
Autor:
Meng, Yanda, Chen, Xu, Gao, Dongxu, Zhao, Yitian, Yang, Xiaoyun, Qiao, Yihong, Huang, Xiaowei, Zheng, Yalin
In this paper, we propose a novel multi-level aggregation network to regress the coordinates of the vertices of a 3D face from a single 2D image in an end-to-end manner. This is achieved by seamlessly combining standard convolutional neural networks
Externí odkaz:
http://arxiv.org/abs/2203.04643
Autor:
Meng, Yanda, Bridge, Joshua, Wei, Meng, Zhao, Yitian, Qiao, Yihong, Yang, Xiaoyun, Huang, Xiaowei, Zheng, Yalin
This paper proposes an adaptive auxiliary task learning based approach for object counting problems. Unlike existing auxiliary task learning based methods, we develop an attention-enhanced adaptively shared backbone network to enable both task-shared
Externí odkaz:
http://arxiv.org/abs/2203.04061