Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Yuetong, Luo"'
Publikováno v:
Computers & Graphics. 86:42-51
Despite great success of deep neural networks for 2D vision tasks, point clouds, unlike 2D images, cannot be directly applied to traditional convolutional neural networks because of irregularities in the form of data. In this paper, we develop a nove
Autor:
Yuetong Luo, Huang Zhaosong, Yuxin Ma, Jiazhi Xia, Liangjun Liu, Wei Chen, Yankong Zhang, Minfeng Zhu
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 20:3981-3990
Understanding the relationship between urban locations is an essential task in urban planning and transportation management. Although prior works have focused on studying urban locations by aggregating location-based properties, our scheme preserves
Publikováno v:
Fusion Engineering and Design. 85:1527-1530
Post-processing is an important part of neutronics analysis, and SVIP-N 1.0 (scientific visualization integrated platform for neutronics analysis) is designed to ease post-processing of neutronics analysis through visualization technologies. Main cap
Publikováno v:
Journal of Computer-Aided Design & Computer Graphics. 30:68
Publikováno v:
2013 International Conference on Computational and Information Sciences.
For large trees, a user may only be concerned in a few nodes (e.g., interesting nodes) and their surroundings at a given time. Based on this observation, we present a skeleton-based structure-preserving focus + context layout method. Interesting node
Publikováno v:
Journal of Computer-Aided Design & Computer Graphics. 29:2256
Publikováno v:
2011 International Conference on Virtual Reality and Visualization.
The paper focuses on appearance and spatial property-based volume classification with a painting interface. Two key problems exist, i.e., effectively propagating user-given painting to the entire volume and intuitively controlling the roles of appear
Publikováno v:
2011 IEEE International Conference on Computer Science and Automation Engineering.
By coupling machine learning and painting metaphor, painting-based transfer function design approach allows more sophisticated classification in intuitive manners. With the aim of improving classification performance for noisy data, statistical prope
Publikováno v:
Materials for Advanced Energy Systems and Fission & Fusion Engineering.
Publikováno v:
2011 International Conference on Virtual Reality & Visualization (ICVRV); 2011, p17-23, 7p