Code

As a proponent of open source code, below you can find the source code of several publications I have worked on:

  • On the topic of polynomial networks:
    • The source code from our work (CVPR'20/PAMI-21) on Π-nets.
    • The source code from our work (NeurIPS'21) on conditional generation.
    • The source code from our work (ECCV'22) on polynomial expansions for recognition.
    • Introductory jupyter notebooks from our tutorial at CVPR'22.
  • Source code for our review paper (Proceedings of the IEEE, 2021) on tensor methods.
  • Source code for our work (ICLR'19/IJCV'20) on robust generative models.
  • [older] Source code from our work on deformable tracking.
  • [older] Jupyter notebooks from our review paper on deformable tracking.

 

During my PhD, I had also developed and used this library with simple functions on python.