Zobrazeno 1 - 10
of 1 273
pro vyhledávání: '"Guo, Xiaoyan A."'
Vehicle re-identification (Re-ID) involves identifying the same vehicle captured by other cameras, given a vehicle image. It plays a crucial role in the development of safe cities and smart cities. With the rapid growth and implementation of unmanned
Externí odkaz:
http://arxiv.org/abs/2306.14104
Text-driven image manipulation is developed since the vision-language model (CLIP) has been proposed. Previous work has adopted CLIP to design a text-image consistency-based objective to address this issue. However, these methods require either test-
Externí odkaz:
http://arxiv.org/abs/2210.04506
In this paper, we investigate on improving the adversarial robustness obtained in adversarial training (AT) via reducing the difficulty of optimization. To better study this problem, we build a novel Bregman divergence perspective for AT, in which AT
Externí odkaz:
http://arxiv.org/abs/2208.12511
Autor:
Wang, Yuefei, Zhang, Yutong, Zhang, Li, Xu, Yuquan, Feng, Ronghui, Cai, Haoyue, Xue, Jiajing, Zhao, Zuwei, Guo, Xiaoyan, Wei, Yuanhong, Wang, Zixu, Qiu, Siyi, Yang, Yixi, Yu, Xi
Publikováno v:
In Expert Systems With Applications 15 October 2024 252 Part A
Autor:
Xia, Wei, Ma, Mengyao, Li, Zhenhao, Qiao, Liang, Chi, Kebin, Guo, Xiaoyan, Liu, Tianpeng, Wu, Dengfeng, Cao, Dong, Cheng, Daojian
Publikováno v:
In Applied Catalysis B: Environment and Energy 5 October 2024 354
Publikováno v:
In Engineering Applications of Artificial Intelligence October 2024 136 Part A
Autor:
Xu, Xiangqian, Zhang, Jun, Yao, Tangie, Zhao, Xiaokai, Wu, Qingyuan, Lu, Chenghua, Guo, Xiaoyan, Xie, Shiyun, Qiu, Lei, Bi, Rongrong, Xue, Honghao
Publikováno v:
In International Immunopharmacology 30 September 2024 139
Autor:
Zhang, Danni, Wang, Ying, Wang, Shaofeng, Xiao, Fan, Guo, Xiaoyan, Xu, Dake, Wang, Fuhui, Jia, Yongfeng
Publikováno v:
In Journal of Hazardous Materials 5 September 2024 476
Autor:
Chen, Xingyu, Liu, Yufeng, Dong, Yajiao, Zhang, Xiong, Ma, Chongyang, Xiong, Yanmin, Zhang, Yuan, Guo, Xiaoyan
Publikováno v:
CVPR2022
In this work, we propose a framework for single-view hand mesh reconstruction, which can simultaneously achieve high reconstruction accuracy, fast inference speed, and temporal coherence. Specifically, for 2D encoding, we propose lightweight yet effe
Externí odkaz:
http://arxiv.org/abs/2112.02753
Autor:
Fu, Xiaoying1 (AUTHOR), Guo, Xiaoyan2 (AUTHOR), Xu, Han1 (AUTHOR), Li, Yini3 (AUTHOR), Jin, Bihui1 (AUTHOR), Zhang, Xirong4 (AUTHOR), Shu, Chongyi1 (AUTHOR), Fan, Yuhang1 (AUTHOR), Yu, Yiqi1 (AUTHOR), Tian, Yuqing1 (AUTHOR), Tian, Jiao2 (AUTHOR), Shu, Jing1,2,5 (AUTHOR) shujing@hmc.edu.cn
Publikováno v:
Reproductive Biology & Endocrinology. 7/31/2024, Vol. 22 Issue 1, p1-15. 15p.