Zobrazeno 1 - 10
of 416
pro vyhledávání: '"Yuan, Xiaochen"'
Autor:
Gong, Xueyuan, Si, Yain-whar, Zhang, Zheng, Yuan, Xiaochen, Wang, Ke, Zhang, Xinyuan, Lin, Cong, Liu, Xiaoxiang
Face recognition (FR) has seen significant advancements due to the utilization of large-scale datasets. Training deep FR models on large-scale datasets with multiple GPUs is now a common practice. In fact, computing power has evolved into a foundatio
Externí odkaz:
http://arxiv.org/abs/2404.11118
Autor:
Wei, Qiusen, Huang, Guoheng, Yuan, Xiaochen, Chen, Xuhang, Zhong, Guo, Huang, Jianwen, Huang, Jiajie
Medical landmark detection is crucial in various medical imaging modalities and procedures. Although deep learning-based methods have achieve promising performance, they are mostly designed for specific anatomical regions or tasks. In this work, we p
Externí odkaz:
http://arxiv.org/abs/2404.01194
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 31, pp. 2325-2337,2023
Emotion recognition in conversation (ERC) has received increasing attention from researchers due to its wide range of applications.As conversation has a natural graph structure,numerous approaches used to model ERC based on graph convolutional networ
Externí odkaz:
http://arxiv.org/abs/2308.11029
Few-shot segmentation (FSS) aims to segment unseen classes given only a few annotated samples. Encouraging progress has been made for FSS by leveraging semantic features learned from base classes with sufficient training samples to represent novel cl
Externí odkaz:
http://arxiv.org/abs/2305.07283
Publikováno v:
In International Journal of Applied Earth Observation and Geoinformation August 2024 132
Autor:
Huang, Jielun, Huang, Guoheng, Zhang, Xuhui, Yuan, Xiaochen, Xie, Fenfang, Pun, Chi-Man, Zhong, Guo
Publikováno v:
In Image and Vision Computing July 2024 147
Autor:
Lingyun, B.A.O., HUANG, Zhengrui, LIN, Zehui, SUN, Yue, CHEN, Hui, LI, You, LI, Zhang, YUAN, Xiaochen, XU, Lin, TAN, Tao
Publikováno v:
In Virtual Reality & Intelligent Hardware June 2024 6(3):239-251
Publikováno v:
In Expert Systems With Applications 15 March 2024 238 Part C
Autor:
Yuan Xiaochen
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
This research delves into the critical evaluation of the “Party Building + Civic and Political” program within higher education, addressing the sector’s contemporary challenges and opportunities. By implementing the entropy value method and the
Externí odkaz:
https://doaj.org/article/1bafd27a774944c39859301c912099dc
Autor:
Yuan Xiaochen
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
In this study, we successfully realized the interaction design of virtual Civics teaching scene through multiresolution hierarchical detail (LOD) model, and constructed an immersive teaching environment using texture mapping technology. Combined with
Externí odkaz:
https://doaj.org/article/134d0366957446e0be4f0b849548cb72