Standard
Harvard
Cai, Y, Ge, L
, Liu, J, Cai, J, Cham, T-J, Yuan, J & Thalmann, NM 2019,
Exploiting spatial-temporal relationships for 3D pose estimation via graph convolutional networks. in
Proceedings of the IEEE International Conference on Computer Vision. IEEE, pp. 2272-2281.
https://doi.org/10.1109/ICCV.2019.00236APA
Cai, Y., Ge, L.
, Liu, J., Cai, J., Cham, T.-J., Yuan, J., & Thalmann, N. M. (2019).
Exploiting spatial-temporal relationships for 3D pose estimation via graph convolutional networks. In
Proceedings of the IEEE International Conference on Computer Vision (pp. 2272-2281). IEEE.
https://doi.org/10.1109/ICCV.2019.00236Vancouver
Author
Bibtex
@inproceedings{aa398bc54b3e4490bc1b533b983d2156,
title = "Exploiting spatial-temporal relationships for 3D pose estimation via graph convolutional networks",
author = "Y. Cai and L. Ge and Jun Liu and J. Cai and T.-J. Cham and J. Yuan and N.M. Thalmann",
year = "2019",
month = nov,
day = "2",
doi = "10.1109/ICCV.2019.00236",
language = "English",
pages = "2272--2281",
booktitle = "Proceedings of the IEEE International Conference on Computer Vision",
publisher = "IEEE",
}
RIS
TY - GEN
T1 - Exploiting spatial-temporal relationships for 3D pose estimation via graph convolutional networks
AU - Cai, Y.
AU - Ge, L.
AU - Liu, Jun
AU - Cai, J.
AU - Cham, T.-J.
AU - Yuan, J.
AU - Thalmann, N.M.
PY - 2019/11/2
Y1 - 2019/11/2
U2 - 10.1109/ICCV.2019.00236
DO - 10.1109/ICCV.2019.00236
M3 - Conference contribution/Paper
SP - 2272
EP - 2281
BT - Proceedings of the IEEE International Conference on Computer Vision
PB - IEEE
ER -
