Zobrazeno 1 - 10
of 489
pro vyhledávání: '"Zhao, Fuqiang"'
One goal of dexterous robotic grasping is to allow robots to handle objects with the same level of flexibility and adaptability as humans. However, it remains a challenging task to generate an optimal grasping strategy for dexterous hands, especially
Externí odkaz:
http://arxiv.org/abs/2405.09310
Autor:
Cui, Jiadi, Cao, Junming, Zhao, Fuqiang, He, Zhipeng, Chen, Yifan, Zhong, Yuhui, Xu, Lan, Shi, Yujiao, Zhang, Yingliang, Yu, Jingyi
Large garages are ubiquitous yet intricate scenes that present unique challenges due to their monotonous colors, repetitive patterns, reflective surfaces, and transparent vehicle glass. Conventional Structure from Motion (SfM) methods for camera pose
Externí odkaz:
http://arxiv.org/abs/2404.09748
With the development of VR technology, especially the emergence of the metaverse concept, the integration of visual and tactile perception has become an expected experience in human-machine interaction. Therefore, achieving spatial-temporal consisten
Externí odkaz:
http://arxiv.org/abs/2312.16391
During the process of robot-assisted ultrasound(US) puncture, it is important to estimate the location of the puncture from the 2D US images. To this end, the calibration of the US image becomes an important issue. In this paper, we proposed a depth
Externí odkaz:
http://arxiv.org/abs/2308.05401
Tactile sensing is of great importance during human hand usage such as object exploration, grasping and manipulation. Different types of tactile sensors have been designed during the past decades, which are mainly focused on either the fingertips for
Externí odkaz:
http://arxiv.org/abs/2308.05386
Autor:
Luo, Haimin, Zhang, Siyuan, Zhao, Fuqiang, Jing, Haotian, Wang, Penghao, Yu, Zhenxiao, Yan, Dongxue, Ding, Junran, Zhang, Boyuan, Hu, Qiang, Yin, Shu, Xu, Lan, Yu, JIngyi
We have recently seen tremendous progress in neural rendering (NR) advances, i.e., NeRF, for photo-real free-view synthesis. Yet, as a local technique based on a single computer/GPU, even the best-engineered Instant-NGP or i-NGP cannot reach real-tim
Externí odkaz:
http://arxiv.org/abs/2303.04086
Autor:
Zhao, Fuqiang, Jiang, Yuheng, Yao, Kaixin, Zhang, Jiakai, Wang, Liao, Dai, Haizhao, Zhong, Yuhui, Zhang, Yingliang, Wu, Minye, Xu, Lan, Yu, Jingyi
We have recently seen tremendous progress in the neural advances for photo-real human modeling and rendering. However, it's still challenging to integrate them into an existing mesh-based pipeline for downstream applications. In this paper, we presen
Externí odkaz:
http://arxiv.org/abs/2209.08468
Publikováno v:
Shipin Kexue, Vol 45, Iss 8, Pp 134-144 (2024)
In order to investigate the material basis of the uric acid-lowering activity of Gynura procumbens, G. procumbens extracts obtained by hot reflux extraction with different ethanol concentrations (0%, 30% and 70%) were evaluated for bioactive ingredie
Externí odkaz:
https://doaj.org/article/c79d84dc4cb343abb96be9cbf795f169
Publikováno v:
Journal of Managerial Psychology, 2023, Vol. 39, Issue 1, pp. 18-38.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JMP-03-2023-0161
It is an extremely challenging task to detect arbitrary shape text in natural scenes on high accuracy and efficiency. In this paper, we propose a scene text detection framework, namely GWNet, which mainly includes two modules: Global module and RCNN
Externí odkaz:
http://arxiv.org/abs/2203.05251