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- University of AberdeenGB11 papers
- Northwestern Polytechnical UniversityCN8 papers
- Xi'an Jiaotong UniversityCN7 papers
- Xi’an UniversityCN6 papers
- Xidian UniversityCN6 papers
- Universidade Estadual de Ponta GrossaBR5 papers
- Xi'an Technological UniversityCN5 papers
- Xi'an University of Science and TechnologyCN5 papers
- Chinese Academy of SciencesCN4 papers
- National Institute for Materials ScienceJP4 papers
- State Key Laboratory of Solidification Processing4 papers
- Tohoku UniversityJP4 papers
11 papers · 1 filter
Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN
Xiaodong Cun, Chi-Man Pun, Cheng Shi
Shadow removal is an essential task for scene understanding. Many studies consider only matching the image contents, which often causes two types of ghosts: color in-consistencies…
Synchronization stability and circuit experiment of hyperchaos with time delay using impulse control
Hai-Peng Ren, Kun Tian, Chao Bai
Secure communication using hyperchaos has a better potential performance, but hyperchaotic impulse circuits synchronization is a challenging task. In this paper, an impulse control…
Nonlinear dynamics in the flexible shaft rotating-lifting system of silicon crystal puller using Czochralski method
Hai-Peng Ren, Zi-Xuan Zhou, Celso Grebogi
Silicon crystal puller (SCP) is a key equipment in silicon wafer manufacture, which is, in turn, the base material for the most currently used integrated circuit (IC) chips. With t…
A game method for improving the interpretability of convolution neural network
Jinwei Zhao, Qizhou Wang, Fuqiang Zhang +7
Real artificial intelligence always has been focused on by many machine learning researchers, especially in the area of deep learning. However deep neural network is hard to be und…
VASPKIT: A User-friendly Interface Facilitating High-throughput Computing and Analysis Using VASP Code
Vei Wang, Nan Xu, Jin Cheng Liu +2
We present the VASPKIT, a command-line program that aims at providing a powerful and user-friendly interface to perform high-throughput analysis of a variety of material properties…
Structure fusion based on graph convolutional networks for semi-supervised classification
Guangfeng Lin, Jing Wang, Kaiyang Liao +2
Suffering from the multi-view data diversity and complexity for semi-supervised classification, most of existing graph convolutional networks focus on the networks architecture con…