Zobrazeno 1 - 10
of 254
pro vyhledávání: '"HUANG Weiting"'
Publikováno v:
Gongye shui chuli, Vol 44, Iss 6, Pp 40-52 (2024)
In recent years, MXenes has been recognized as a promising material due to its unique physical and chemical properties. Compared with traditional two-dimensional nanomaterials, MXenes has the advantages of large specific surface area, high hydrophili
Externí odkaz:
https://doaj.org/article/c56f056628be4463a078a3eadb893bfe
Autor:
Wang, Chuanbo a, 1, Huang, Weiting a, 1, Miao, Rui a, Wu, Bowen a, Wu, Wenhao a, He, Chongchong a, Zheng, Chang a, Zhao, Quanzhi a, Fang, Zhongming a, b, ⁎
Publikováno v:
In The Crop Journal December 2024 12(6):1583-1596
Publikováno v:
In International Journal of Biological Macromolecules November 2024 280 Part 4
Publikováno v:
In Plant Science October 2024 347
Publikováno v:
In Toxicology and Applied Pharmacology October 2024 491
Publikováno v:
In Computer Methods and Programs in Biomedicine August 2024 253
Autor:
Zhao, Yan, Wen, Yumin, Gao, Ke, Wang, Jinlong, Zhang, Congshan, Zhang, Zongzheng, He, Huilan, Wang, Jiuquan, Huang, Weiting
Publikováno v:
In Geoenergy Science and Engineering May 2024 236
Publikováno v:
published 2020
In this paper, we propose an adaptive weighting regression (AWR) method to leverage the advantages of both detection-based and regression-based methods. Hand joint coordinates are estimated as discrete integration of all pixels in dense representatio
Externí odkaz:
http://arxiv.org/abs/2007.09590
Autor:
Armagan, Anil, Garcia-Hernando, Guillermo, Baek, Seungryul, Hampali, Shreyas, Rad, Mahdi, Zhang, Zhaohui, Xie, Shipeng, Chen, MingXiu, Zhang, Boshen, Xiong, Fu, Xiao, Yang, Cao, Zhiguo, Yuan, Junsong, Ren, Pengfei, Huang, Weiting, Sun, Haifeng, Hrúz, Marek, Kanis, Jakub, Krňoul, Zdeněk, Wan, Qingfu, Li, Shile, Yang, Linlin, Lee, Dongheui, Yao, Angela, Zhou, Weiguo, Mei, Sijia, Liu, Yunhui, Spurr, Adrian, Iqbal, Umar, Molchanov, Pavlo, Weinzaepfel, Philippe, Brégier, Romain, Rogez, Grégory, Lepetit, Vincent, Kim, Tae-Kyun
We study how well different types of approaches generalise in the task of 3D hand pose estimation under single hand scenarios and hand-object interaction. We show that the accuracy of state-of-the-art methods can drop, and that they fail mostly on po
Externí odkaz:
http://arxiv.org/abs/2003.13764
Akademický článek
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