PI-Net: A Deep Learning Approach to Extract Topological Persistence Images

Anirudh Som, Hongjun Choi, Karthikeyan Natesan Ramamurthy, Matthew P. Buman, Pavan K. Turaga. PI-Net: A Deep Learning Approach to Extract Topological Persistence Images. In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR Workshops 2020, Seattle, WA, USA, June 14-19, 2020. pages 3639-3648, IEEE, 2020. [doi]

@inproceedings{SomCRBT20,
  title = {PI-Net: A Deep Learning Approach to Extract Topological Persistence Images},
  author = {Anirudh Som and Hongjun Choi and Karthikeyan Natesan Ramamurthy and Matthew P. Buman and Pavan K. Turaga},
  year = {2020},
  doi = {10.1109/CVPRW50498.2020.00425},
  url = {https://doi.org/10.1109/CVPRW50498.2020.00425},
  researchr = {https://researchr.org/publication/SomCRBT20},
  cites = {0},
  citedby = {0},
  pages = {3639-3648},
  booktitle = {2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR Workshops 2020, Seattle, WA, USA, June 14-19, 2020},
  publisher = {IEEE},
  isbn = {978-1-7281-9360-1},
}