From handcrafted to learned representations for human action recognition: A survey
By Fan Zhu, Ling Shao, J. Xie, Yi Fang. 2016
133 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Jun Liu
- Wanqing Li
- Pichao Wang
- Qiuhong Ke
- Philip O. Ogunbona
- Hossein Rahmani
- Zehua Sun
- Sergio Escalera
In Computer Vision and Pattern Recognition
- Pichao Wang
- Wanqing Li
- Philip O. Ogunbona
- Jun Liu
- Hossein Rahmani
- Qiuhong Ke
- Zehua Sun
- Sergio Escalera
Citations in the corpus
- RGB-D-based Human Motion Recognition with Deep Learning: A Survey (2017, background): “Early research on human motion recognition was dominated by the analysis of still images or videos [2, 144, 132, 99, 44, 176].”
- Human Action Recognition From Various Data Modalities: A Review (2020, methodology): “The works of [21], [22] reviewed hand-crafted feature-based and deep learning methods for HAR in video sequences.”