This is the code for the paper A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices.
This is part of the experiment on the UCF11 dataset.
You can find the UCF11 dataset from http://crcv.ucf.edu/data/UCF_YouTube_Action.php, its own website.
When running the codes, be sure that run Preprocessed_UCF11.py first.
Then run the UCF11_cnn_rnn_for_matrix_batch.py.
@inproceedings{chakraborty2018statistical,
author = {Chakraborty, Rudrasis and Yang, Chun-Hao and Zhen, Xingjian and Banerjee, Monami and Archer, Derek and Vaillancourt, David and Singh, Vikas and Vemuri, Baba},
booktitle = {Advances in Neural Information Processing Systems},
editor = {S. Bengio and H. Wallach and H. Larochelle and K. Grauman and N. Cesa-Bianchi and R. Garnett},
pages = {},
publisher = {Curran Associates, Inc.},
title = {A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices},
url = {https://proceedings.neurips.cc/paper/2018/file/7070f9088e456682f0f84f815ebda761-Paper.pdf},
volume = {31},
year = {2018}
}