RubiksNet: Learnable 3D-Shift for Efficient Video Action Recognition

Linxi Fan, Shyamal Buch, Guanzhi Wang, Ryan Cao, Yuke Zhu, Juan Carlos Niebles, Li Fei-Fei 0001. RubiksNet: Learnable 3D-Shift for Efficient Video Action Recognition. In Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm, editors, Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XIX. Volume 12364 of Lecture Notes in Computer Science, pages 505-521, Springer, 2020. [doi]

@inproceedings{FanBWCZN020,
  title = {RubiksNet: Learnable 3D-Shift for Efficient Video Action Recognition},
  author = {Linxi Fan and Shyamal Buch and Guanzhi Wang and Ryan Cao and Yuke Zhu and Juan Carlos Niebles and Li Fei-Fei 0001},
  year = {2020},
  doi = {10.1007/978-3-030-58529-7_30},
  url = {https://doi.org/10.1007/978-3-030-58529-7_30},
  researchr = {https://researchr.org/publication/FanBWCZN020},
  cites = {0},
  citedby = {0},
  pages = {505-521},
  booktitle = {Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XIX},
  editor = {Andrea Vedaldi and Horst Bischof and Thomas Brox and Jan-Michael Frahm},
  volume = {12364},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-58529-7},
}