Learning Hierarchical Invariant Spatio-Temporal Features for Action Recognition with Independent Subspace Analysis

Cite

Text

Le et al. "Learning Hierarchical Invariant Spatio-Temporal Features for Action Recognition with Independent Subspace Analysis." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2011. doi:10.1109/CVPR.2011.5995496

Markdown

[Le et al. "Learning Hierarchical Invariant Spatio-Temporal Features for Action Recognition with Independent Subspace Analysis." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2011.](https://mlanthology.org/cvpr/2011/le2011cvpr-learning/) doi:10.1109/CVPR.2011.5995496

BibTeX

@inproceedings{le2011cvpr-learning,
  title     = {{Learning Hierarchical Invariant Spatio-Temporal Features for Action Recognition with Independent Subspace Analysis}},
  author    = {Le, Quoc V. and Zou, Will Y. and Yeung, Serena Y. and Ng, Andrew Y.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2011},
  pages     = {3361-3368},
  doi       = {10.1109/CVPR.2011.5995496},
  url       = {https://mlanthology.org/cvpr/2011/le2011cvpr-learning/}
}