Edge Classification
Edge Classification is a methodological construct in computational geometry and computer graphics that distinguishes edges in a three-dimensional object's projection based on their visibility status—categorized as visible, hidden, or silhouette—to facilitate accurate rendering in Hidden Line Representation.
85
Publications
5.5K
Citations
248
Authors
118
Institutions
Publications per year
2017–2026
29
Parents
85
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
Aldo Pareja, Giacomo Domeniconi, Jie Chen et al. · 2020 · 1.1K citations
Efficient Transformer for Remote Sensing Image Segmentation
Zhiyong Xu, Weicun Zhang, Tianxiang Zhang et al. · Remote Sensing · 2021 · 218 citations · Full text
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University of Electronic Science and Technology of China, China
3 publications · 77 citations
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2
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Massachusetts Institute of Technology, United States
2 publications · 1.2K citations
2
h-index
1–5 of 248
118

Xi'an Jiaotong University
Xi'an, China
3 h-index
12 publications
241 citations
Yale University
New Haven, United States
3 h-index
6 publications
228 citations
IBM (United States)
Armonk, United States
3 h-index
9 publications
6K citations
Intel (United States)
Santa Clara, United States
2 h-index
2 publications
87 citations
University of Nevada, Reno
Reno, United States
2 h-index
5 publications
59 citations

University of Amsterdam
Amsterdam, The Netherlands
2 h-index
4 publications
236 citations
Tsinghua University
Beijing, China
2 h-index
10 publications
274 citations

Xidian University
Xi'an, China
2 h-index
4 publications
178 citations
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TPAMI · 4 publications · 425 citations
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Repository · 4 publications · 187 citations
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4 publications · 199 citations
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3 publications · 61 citations
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2 publications · 67 citations
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