Abstract | ||
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Learning to generate continuous linguistic descriptions for multi-subject interactive videos in great details has particular applications in team sports auto-narrative. In contrast to traditional video caption, this task is more challenging as it requires simultaneous modeling of fine-grained individual actions, uncovering of spatio-temporal dependency structures of frequent group interactions, an... |
Year | DOI | Venue |
---|---|---|
2022 | 10.1109/TPAMI.2019.2946823 | IEEE Transactions on Pattern Analysis and Machine Intelligence |
Keywords | DocType | Volume |
Sports,Task analysis,Feature extraction,Linguistics,Games,Three-dimensional displays,Measurement | Journal | 44 |
Issue | ISSN | Citations |
2 | 0162-8828 | 4 |
PageRank | References | Authors |
0.37 | 45 | 12 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yichao Yan | 1 | 90 | 6.70 |
Ning Zhuang | 2 | 7 | 1.43 |
Bingbing Ni | 3 | 1421 | 82.90 |
Jian Zhang | 4 | 1305 | 100.05 |
Minghao Xu | 5 | 23 | 3.12 |
Qiang Zhang | 6 | 242 | 21.66 |
Zheng Zhang | 7 | 549 | 40.45 |
Shuo Cheng | 8 | 10 | 1.79 |
Qi Tian | 9 | 19 | 1.70 |
Yi Xu | 10 | 1757 | 177.61 |
Xiaokang Yang | 11 | 3581 | 238.09 |
Wenjun Zhang | 12 | 1789 | 177.28 |