Name
Abstract | ||
|---|---|---|
Action prediction is to recognize the class label of an ongoing activity when only a part of it is observed. In this paper, we focus on online action prediction in streaming 3D skeleton sequences. A dilated convolutional network is introduced to model the motion dynamics in temporal dimension via a sliding window over the temporal axis. Since there are significant temporal scale variations in the ... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TPAMI.2019.2898954 | IEEE Transactions on Pattern Analysis and Machine Intelligence |
Keywords | DocType | Volume |
Microsoft Windows,Skeleton,Three-dimensional displays,Task analysis,Videos,Real-time systems,Pattern recognition | Journal | 42 |
Issue | ISSN | Citations |
6 | 0162-8828 | 15 |
PageRank | References | Authors |
0.66 | 33 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun Liu | 1 | 671 | 30.44 |
| Shahroudy, A. | 2 | 585 | 13.84 |
| Gang Wang | 3 | 2869 | 135.49 |
| Ling-yu Duan | 4 | 1770 | 124.87 |
| Alex C. Kot | 5 | 1096 | 92.07 |