# Efficient Dense-Graph Convolutional Network with Inductive Prior Augmentations for Unsupervised Micro-Gesture Recognition

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/efficient-dense-graph-convolutional-network-with-inductive-prior-augmentations/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Atif Shah,Haoyu Chen,Henglin Shi,Guoying Zhao |
| Citations | 8 |
| DOI | 10.1109/icpr56361.2022.9956565 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4312813763 |
| Type | conference-paper |
| Year | 2022 |

## Paper authors

- [Atif Shah](https://scholariq.org/researchers/atif-shah/)

## Paper journal

- [2022 26th International Conference on Pattern Recognition (ICPR)](https://scholariq.org/journals/2022-26th-international-conference-on-pattern-recognition-icpr/)

## 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/)
- [Hand Gesture Recognition Systems](https://scholariq.org/topics/hand-gesture-recognition-systems/)
- [Gait Recognition and Analysis](https://scholariq.org/topics/gait-recognition-and-analysis/)

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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.