Sequence-to-sequence learning for motion prediction and generation
The research field for computational understanding and modelling of human motion has garnered increasing importance in the last decade, with a plethora of applications in sports science, animation, robotics, surveillance and autonomous driving. In this thesis, we engage the sequence-to-sequence lear...
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| Format: | Thesis-Doctor of Philosophy |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/159102 |