EAGLE-Eye: Extreme-pose Action Grader using detaiL bird's-Eye view

Mahdiar Nekoui, Fidel Omar Tito Cruz, Li Cheng. EAGLE-Eye: Extreme-pose Action Grader using detaiL bird's-Eye view. In IEEE Winter Conference on Applications of Computer Vision, WACV 2021, Waikoloa, HI, USA, January 3-8, 2021. pages 394-402, IEEE, 2021. [doi]

@inproceedings{NekouiCC21,
  title = {EAGLE-Eye: Extreme-pose Action Grader using detaiL bird's-Eye view},
  author = {Mahdiar Nekoui and Fidel Omar Tito Cruz and Li Cheng},
  year = {2021},
  doi = {10.1109/WACV48630.2021.00044},
  url = {https://doi.org/10.1109/WACV48630.2021.00044},
  researchr = {https://researchr.org/publication/NekouiCC21},
  cites = {0},
  citedby = {0},
  pages = {394-402},
  booktitle = {IEEE Winter Conference on Applications of Computer Vision, WACV 2021, Waikoloa, HI, USA, January 3-8, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-0477-8},
}