# Auto-Conditioned Recurrent Networks for Extended Complex Human Motion\n Synthesis

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/auto-conditioned-recurrent-networks-for-extended-complex-human-motion-n/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Zimo Li,Yi Zhou,Shuangjiu Xiao,Chong He,Zeng Huang,Hao Li |
| Citations | 150 |
| DOI | 10.48550/arxiv.1707.05363 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/1707.05363 |
| OpenAlex ID | https://openalex.org/W2963389355 |
| Type | preprint |
| Year | 2017 |

## Paper authors

- [Zimo Li](https://scholariq.org/researchers/zimo-li/)

## Paper journal

- [arXiv (Cornell University)](https://scholariq.org/journals/arxiv-cornell-university/)

## Paper primary topic

- [Human Pose and Action Recognition](https://scholariq.org/topics/human-pose-and-action-recognition/)

## Paper topics

- [Human Pose and Action Recognition](https://scholariq.org/topics/human-pose-and-action-recognition/)
- [Human Motion and Animation](https://scholariq.org/topics/human-motion-and-animation/)
- [Advanced Vision and Imaging](https://scholariq.org/topics/advanced-vision-and-imaging/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.