most citedKEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors

6 citations · 6 across the 1 of their papers we have counts for

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1 paper

cs.CV2017★ 6 cited

KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors

Amit Kumar, Azadeh Alavi, Rama Chellappa

Keypoint detection is one of the most important pre-processing steps in tasks such as face modeling, recognition and verification. In this paper, we present an iterative method for…