Name
Title | ||
|---|---|---|
Deep Feature Learning via Structured Graph Laplacian Embedding for Person Re-Identification. |
Abstract | ||
|---|---|---|
•This paper is the first to formulates the structured distance relationships into the graph Laplacian form for deep feature learning.•Joint learning method is used in the framework to learn discriminative features.•The results show clear improvements on public benchmark datasets and some are the state-of-the-art. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.patcog.2018.05.007 | Pattern Recognition |
Keywords | DocType | Volume |
Person re-identification,Structured,Graph Laplacian,Deep learning | Journal | 82 |
Issue | ISSN | Citations |
1 | 0031-3203 | 11 |
PageRank | References | Authors |
0.49 | 37 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| De Cheng | 1 | 70 | 7.97 |
| yihong gong | 2 | 7300 | 470.57 |
| Xiaojun Chang | 3 | 1585 | 76.85 |
| WeiWei Shi | 4 | 51 | 12.26 |
| Alexander G. Hauptmann | 5 | 7472 | 558.23 |
| Nanning Zheng | 6 | 3975 | 329.18 |