CITATION.md

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

@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}
}

@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}
}

@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}
}

@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}
}