Zobrazeno 1 - 10
of 163
pro vyhledávání: '"Meng, Yanmei"'
Autor:
Wu, Jiachun a, Zhang, Jinlai b, ⁎, Zhu, Jihong a, c, ⁎, Duan, Yijian a, Fang, Youyang b, Zhu, Jingyu c, Yin, Lairong b, Jiang, Jiahui b, He, Zhiyong b, Huang, Yi b, Meng, Yanmei a
Publikováno v:
In Food and Bioproducts Processing January 2025 149:353-367
Autor:
Liu, Xinxin a, b, Liu, Longhai b, Huang, Fang a, Meng, Yanmei a, Chen, Yajuan a, Wang, Jianqiang a, Wang, Shuang a, Luo, Yangchao c, ⁎, Li, Jianghua b, ⁎, Liang, Ying a, ⁎
Publikováno v:
In Food Chemistry 1 April 2025 470
Autor:
Duan, Yijian a, Wu, Danfeng c, d, Meng, Liwen a, Meng, Yanmei a, ⁎, Zhu, Jihong a, b, Zhang, Jinlai e, Firkat, Eksan f, Liu, Hui a, Wei, Hejun a
Publikováno v:
In Heliyon 15 September 2024 10(17)
Autor:
Huang, Fang, Fan, Yibin, Liu, Xinxin, Chen, Yajuan, Huang, Youming, Meng, Yanmei, Liang, Ying
Publikováno v:
In International Journal of Biological Macromolecules July 2024 273 Part 2
Autor:
Zhang, Jinlai, Chen, Lyujie, Liu, Binbin, Ouyang, Bo, Xie, Qizhi, Zhu, Jihong, Li, Weiming, Meng, Yanmei
Recently, 3D deep learning models have been shown to be susceptible to adversarial attacks like their 2D counterparts. Most of the state-of-the-art (SOTA) 3D adversarial attacks perform perturbation to 3D point clouds. To reproduce these attacks in t
Externí odkaz:
http://arxiv.org/abs/2104.12146
Autor:
Zhang, Jinlai, Dong, Yinpeng, Liu, Binbin, Ouyang, Bo, Zhu, Jihong, Kuang, Minchi, Wang, Houqing, Meng, Yanmei
Robust environment perception is critical for autonomous cars, and adversarial defenses are the most effective and widely studied ways to improve the robustness of environment perception. However, all of previous defense methods decrease the natural
Externí odkaz:
http://arxiv.org/abs/2104.02963
Publikováno v:
In Journal of Food Engineering March 2024 364
Publikováno v:
In Journal of Food Engineering May 2025 391
Autor:
Zhang, Jinlai, Chen, Lyujie, Ouyang, Bo, Liu, Binbin, Zhu, Jihong, Chen, Yujing, Meng, Yanmei, Wu, Danfeng
As 3D point cloud analysis has received increasing attention, the insufficient scale of point cloud datasets and the weak generalization ability of networks become prominent. In this paper, we propose a simple and effective augmentation method for th
Externí odkaz:
http://arxiv.org/abs/2101.01461
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