Abstract | ||
---|---|---|
•We propose a novel future event evolution probability curve prediction task.•We develop a new loss function and a novel network structure for curve prediction.•The proposed framework achieves promising results compared to state-of-art methods. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1016/j.patrec.2019.07.020 | Pattern Recognition Letters |
Keywords | Field | DocType |
Egocentric video,Prediction,Gaze,Attention,Asynchronous | Computer vision,Asynchronous communication,Architecture,Intelligent robots,Artificial intelligence,Machine learning,Mathematics | Journal |
Volume | ISSN | Citations |
125 | 0167-8655 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ning Zhuang | 1 | 7 | 1.43 |
Qiang Zhang | 2 | 24 | 1.29 |
Yang Shen | 3 | 75 | 2.52 |
Zefan Li | 4 | 3 | 1.72 |
Bingbing Ni | 5 | 1421 | 82.90 |
Wenjun Zhang | 6 | 1789 | 177.28 |