ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search

Lumin Xu, Yingda Guan, Sheng Jin 0007, Wentao Liu 0002, Chen Qian 0006, Ping Luo 0002, Wanli Ouyang, Xiaogang Wang 0001. ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021. pages 16072-16081, Computer Vision Foundation / IEEE, 2021. [doi]

@inproceedings{XuG0000O021,
  title = {ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search},
  author = {Lumin Xu and Yingda Guan and Sheng Jin 0007 and Wentao Liu 0002 and Chen Qian 0006 and Ping Luo 0002 and Wanli Ouyang and Xiaogang Wang 0001},
  year = {2021},
  url = {https://openaccess.thecvf.com/content/CVPR2021/html/Xu_ViPNAS_Efficient_Video_Pose_Estimation_via_Neural_Architecture_Search_CVPR_2021_paper.html},
  researchr = {https://researchr.org/publication/XuG0000O021},
  cites = {0},
  citedby = {0},
  pages = {16072-16081},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021},
  publisher = {Computer Vision Foundation / IEEE},
}