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added content to readme, with links to the paper and video
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# Towards Untrusted Social Video Verification to Combat Deepfakes via Face Geometry Consistency

Authors
[Eleanor Tursman](https://tursmanor.github.io/),
Marilyn George,
[Seny Kamara](http://cs.brown.edu/~seny/),
[James Tompkin](http://jamestompkin.com/)
Brown University
Media Forensics CVPR Workshop 2020

Workshop
<img src="./main-fig.svg" width="70%">

Teaser image/gif

Links here for paper, supplemental, video
### [Paper](https://tursmanor.github.io/social-video-verification.pdf) | [Supplemental](https://tursmanor.github.io/social-video-verification-supp.pdf) | [Presentation Video](https://www.youtube.com/watch?v=b6gPMMjfRWA)

## Citation

If you find our work useful for your research, please cite:

```
@InProceedings{Tursman_2020_CVPR_Workshops,
author = {Tursman, Eleanor and George, Marilyn and Kamara, Seny and Tompkin, James},
title = {Towards Untrusted Social Video Verification to Combat Deepfakes via Face Geometry Consistency},
booktitle = {The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}
```

The functions ```cpca```, ```screeplot```, ```mahalanobis```, ```kernelEVD```, ```greatsort```, and ```classSVD``` are from the [LIBRA toolbox](https://github.com/mwgeurts/libra), as described in the following papers:
```
@article{verboven2005libra,
title={LIBRA: a MATLAB library for robust analysis},
author={Verboven, Sabine and Hubert, Mia},
journal={Chemometrics and intelligent laboratory systems},
volume={75},
number={2},
pages={127--136},
year={2005},
publisher={Elsevier}
}
```
```
@article{verboven2010matlab,
title={Matlab library LIBRA},
author={Verboven, Sabine and Hubert, Mia},
journal={Wiley Interdisciplinary Reviews: Computational Statistics},
volume={2},
number={4},
pages={509--515},
year={2010},
publisher={Wiley Online Library}
}
```
## Running the code


## To-do
- populate readme
- populate repo with code used for experiments
- streamline dataset processing scripts and add to repo
- set up dataset download
- [x] populate readme
- [] populate repo with code used for experiments
- [] streamline dataset processing scripts and add to repo
- [] set up dataset download

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