Skip to content
Official PyTorch Implementation for "Learning Spatio-Temporal Features with Two-Stream Deep 3D CNNs for Lipreading", BMVC 2019
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
.gitignore
README.md

README.md

Learning Spatio-Temporal Features with Two-Stream Deep 3D CNNs for Lipreading

This repository contains the official PyTorch implementation for "Learning Spatio-Temporal Features with Two-Stream Deep 3D CNNs for Lipreading". This paper has been accepted by British Machine Vision Conference (BMVC) 2019. If you find the paper or the code useful, please cite our paper:

@article{Weng2019_lipreading,
archivePrefix = {arXiv},
arxivId = {1905.02540},
author = {Weng, Xinshuo and Kitani, Kris},
eprint = {1905.02540},
journal = {BMVC},
title = {{Learning Spatio-Temporal Features with Two-Stream Deep 3D CNNs for Lipreading}},
url = {https://bmvc2019.org/wp-content/uploads/papers/0016-paper.pdf},
year = {2019}
}

News

2019/09/15, we are trying to release the code soon.

You can’t perform that action at this time.