ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis

Lixin Yang, Kailin Li, Xinyu Zhan 0001, Jun Lv, Wenqiang Xu, Jiefeng Li, Cewu Lu. ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022. pages 2740-2750, IEEE, 2022. [doi]

@inproceedings{YangL0LXLL22,
  title = {ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis},
  author = {Lixin Yang and Kailin Li and Xinyu Zhan 0001 and Jun Lv and Wenqiang Xu and Jiefeng Li and Cewu Lu},
  year = {2022},
  doi = {10.1109/CVPR52688.2022.00277},
  url = {https://doi.org/10.1109/CVPR52688.2022.00277},
  researchr = {https://researchr.org/publication/YangL0LXLL22},
  cites = {0},
  citedby = {0},
  pages = {2740-2750},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-6946-3},
}