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- Ministry of Industry and Information TechnologyCN16 papers
- Tsinghua UniversityCN16 papers
- Chinese Academy of SciencesCN15 papers
- Xi'an Jiaotong UniversityCN15 papers
- Xidian UniversityCN12 papers
- Australian National UniversityAU11 papers
- Moscow Institute of Physics and TechnologyRU11 papers
- University of Chinese Academy of SciencesCN10 papers
- Nankai UniversityCN9 papers
- Centre National de la Recherche ScientifiqueFR7 papers
- Fudan UniversityCN7 papers
- Instituto de Ciencia de Materiales de MadridES7 papers
Showing 2018Show all
2 papers · 1 filter
cs.SI2018★ 59 cited
Identifying influential nodes based on fuzzy local dimension in complex networks
Tao Wen, Wen Jiang
How to identify influential nodes in complex networks is an important aspect in the study of complex network. In this paper, a novel fuzzy local dimension (FLD) is proposed to rank…
cs.CV2018★ 1 cited
PiCANet: Pixel-wise Contextual Attention Learning for Accurate Saliency Detection
Nian Liu, Junwei Han, Ming-Hsuan Yang
In saliency detection, every pixel needs contextual information to make saliency prediction. Previous models usually incorporate contexts holistically. However, for each pixel, usu…