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## Cite Kornia papers
1. Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
2. A survey on Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
3. Differentiable Data Augmentation with Kornia
4. torchgeometry: when PyTorch meets geometry
```bash
@inproceedings{eriba2019kornia,
author = {E. Riba, D. Mishkin, D. Ponsa, E. Rublee and G. Bradski},
title = {Kornia: an Open Source Differentiable Computer Vision Library for PyTorch},
booktitle = {Winter Conference on Applications of Computer Vision},
year = {2020},
url = {https://arxiv.org/pdf/1910.02190.pdf}
}
```
```bash
@misc{riba2020survey,
title={A survey on Kornia: an Open Source Differentiable Computer Vision Library for PyTorch},
author={E. Riba and D. Mishkin and J. Shi and D. Ponsa and F. Moreno-Noguer and G. Bradski},
year={2020},
eprint={2009.10521},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
```
```bash
@misc{shi2020differentiable,
title={Differentiable Data Augmentation with Kornia},
author={Jian Shi and Edgar Riba and Dmytro Mishkin and Francesc Moreno and Anguelos Nicolaou},
year={2020},
eprint={2011.09832},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
```
```bash
@misc{Arraiy2018,
author = {E. Riba, M. Fathollahi, W. Chaney, E. Rublee and G. Bradski},
title = {torchgeometry: when PyTorch meets geometry},
booktitle = {PyTorch Developer Conference},
year = {2018},
url = {https://drive.google.com/file/d/1xiao1Xj9WzjJ08YY_nYwsthE-wxfyfhG/view?usp=sharing}
}
```
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