Search Results for author:
Found 4 papers, 4 papers with code
Multi-task head pose estimation in-the-wild
We contribute with a network architecture and training strategy that harness the strong dependencies among face pose, alignment and visibility, to produce a top performing model for all three tasks.
Ranked #1 on
Face Alignment
on AFLW2000-3D
Cascade of Encoder-Decoder CNNs with Learned Coordinates Regressor for Robust Facial Landmarks Detection
In this paper we investigate the use of a cascade of Neural Net regressors to increase the accuracy of the estimated facial landmarks.
Ranked #4 on
Facial Landmark Detection
on 300W
Face Alignment using a 3D Deeply-initialized Ensemble of Regression Trees
In this paper we present 3DDE, a robust and efficient face alignment algorithm based on a coarse-to-fine cascade of ensembles of regression trees.
Ranked #2 on
Facial Landmark Detection
on AFLW-Full
(Mean NME metric)
A Deeply-initialized Coarse-to-fine Ensemble of Regression Trees for Face Alignment
In this paper we present DCFE, a real-time facial landmark regression method based on a coarse-to-fine Ensemble of Regression Trees (ERT).
Ranked #2 on
Face Alignment
on IBUG
