Extensive experiments on CMU database demonstrate that the proposed model consistently outperforms other state-of-the-art methods in terms of recovery accuracy ...
To address these issues, we propose a deep bi-directional attention network (BAN) which can not only capture the long-term dependencies but also adaptively ...
A deep bi-directional attention network (BAN) which can not only capture the long-term dependencies but also adaptively extract relevant information at each ...
To address these issues, we propose a deep bi-directional attention network (BAN) which can not only capture the long-term dependencies but also adaptively ...
A Deep Bi-directional Attention Network for Human Motion Recovery
www.researchgate.net › ... › Motion
To address these issues, we propose a deep bi-directional attention network (BAN) which can not only capture the long-term dependencies but also adaptively ...
To address these issues, we propose a deep bi-directional attention network (BAN) which can not only capture the long-term dependencies but also adaptively ...
Qiongjie Cui, Huaijiang Sun, Yupeng Li, Yue Kong: A Deep Bi-directional Attention Network for Human Motion Recovery. IJCAI 2019: 701-707.
To address these issues, we propose a deep bidirectional attention network which can not only capture the long-term dependencies but also adaptively extract ...
Connected Papers is a visual tool to help researchers and applied scientists find academic papers relevant to their field of work.
We propose a deep bidirectional attention network which can not only capture the long-term dependencies but also adaptively extract relevant information at ...