Name
Abstract | ||
|---|---|---|
Temporal action proposal generation aims at localizing the temporal segments containing human actions in a video. This work proposes a centerness-aware network (CAN), which is a novel one-stage approach intended to generate action proposals as keypoint triplets. A keypoint triplet contains two boundary points (starting and ending) and one center point. Specifically, we evaluate the probabilities o... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TCSVT.2021.3075607 | IEEE Transactions on Circuits and Systems for Video Technology |
Keywords | DocType | Volume |
Proposals,Feature extraction,Detectors,Task analysis,Visualization,Video sequences,Object detection | Journal | 32 |
Issue | ISSN | Citations |
1 | 1051-8215 | 1 |
PageRank | References | Authors |
0.34 | 20 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuan Liu | 1 | 1 | 1.02 |
| Jingyuan Chen | 2 | 228 | 7.50 |
| Xinpeng Chena | 3 | 1 | 0.34 |
| Bing Deng | 4 | 44 | 6.55 |
| Jianqiang Huang | 5 | 55 | 19.18 |
| Xian-Sheng Hua | 6 | 6566 | 328.17 |