Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Xijie Huang"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract We present a new learning-based framework S-3D-RCNN that can recover accurate object orientation in SO(3) and simultaneously predict implicit rigid shapes from stereo RGB images. For orientation estimation, in contrast to previous studies th
Externí odkaz:
https://doaj.org/article/05e5c1cb080047e89487e6e5658484ad
Publikováno v:
International Journal of Aerospace Engineering, Vol 2018 (2018)
This paper focuses on the dynamic stability analysis of a manipulator mounted on a quadrotor unmanned aerial vehicle, namely, a manipulating unmanned aerial vehicle (MUAV). Manipulator movements and environments interaction will extremely affect the
Externí odkaz:
https://doaj.org/article/42117632c015417e97cd2f297ff408d9
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 13 (2016)
Two-wheeled self-balancing vehicle system is a kind of naturally unstable underactuated system with high-rank unstable multivariable strongly coupling complicated dynamic nonlinear property. Nonlinear dynamics modeling and simulation, as a basis of t
Externí odkaz:
https://doaj.org/article/1287e0c14e5b44939789f1a42aafc381
Publikováno v:
Journal of Environmental Chemical Engineering. 11:109650
Autor:
Jeffry Wicaksana, Zengqiang Yan, Dong Zhang, Xijie Huang, Huimin Wu, Xin Yang, Kwang-Ting Cheng
The purpose of federated learning is to enable multiple clients to jointly train a machine learning model without sharing data. However, the existing methods for training an image segmentation model have been based on an unrealistic assumption that t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36c9bfa3e70a4fa072fdb39efcb5a228
http://arxiv.org/abs/2205.01840
http://arxiv.org/abs/2205.01840
Publikováno v:
Science, Technology and Society. 26:344-365
With the unique dataset from the State Intellectual Property Office (SIPO) of the People’s Republic of China, this study aims to provide a patent citation-based analysis of technological innovation in China. This study provides an overall descripti
Autor:
Xianghong Hu, Xuejiao Liu, Yu Liu, Haowei Zhang, Xijie Huang, Xihao Guan, Luhong Liang, Chi Ying Tsui, Xiaoming Xiong, Kwang-Ting Cheng
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. :1-1
Human-Object Interaction (HOI) detection is an important problem to understand how humans interact with objects. In this paper, we explore interactiveness knowledge which indicates whether a human and an object interact with each other or not. We fou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ea8ac0949fdf1a25c1ee9986dfe59f9
Publikováno v:
CVPR Workshops
Latent fingerprints, a kind of fingerprints which are captured from the finger skin impressions at the crime scene, have been adopted to identify suspected criminals for a long time. However, poor latent fingerprint image quality owing to unstructure
Autor:
Xinpeng Liu, Cewu Lu, Shiyi Wang, Yong-Lu Li, Hao-Shu Fang, Mingyang Chen, Ze Ma, Yue Xu, Liang Xu, Xijie Huang
Publikováno v:
CVPR
Existing image-based activity understanding methods mainly adopt direct mapping, i.e. from image to activity concepts, which may encounter performance bottleneck since the huge gap. In light of this, we propose a new path: infer human part states fir