Amit Kumar, Azadeh Alavi, Rama Chellappa. KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors. In 12th IEEE International Conference on Automatic Face & Gesture Recognition, FG 2017, Washington, DC, USA, May 30 - June 3, 2017. pages 258-265, IEEE Computer Society, 2017. [doi]
@inproceedings{KumarAC17,
title = {KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors},
author = {Amit Kumar and Azadeh Alavi and Rama Chellappa},
year = {2017},
doi = {10.1109/FG.2017.149},
url = {http://doi.ieeecomputersociety.org/10.1109/FG.2017.149},
researchr = {https://researchr.org/publication/KumarAC17},
cites = {0},
citedby = {0},
pages = {258-265},
booktitle = {12th IEEE International Conference on Automatic Face & Gesture Recognition, FG 2017, Washington, DC, USA, May 30 - June 3, 2017},
publisher = {IEEE Computer Society},
isbn = {978-1-5090-4023-0},
}