| ## 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} | |
| } | |
| ``` | |