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Found 5 papers, 5 papers with code
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 300W Split 2
(FR@8 (inter-ocular) metric)
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
Face Alignment
on 300W Split 2
(NME (inter-ocular) metric)
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
Face Alignment
on COFW
(NME (inter-pupil) metric)
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 COFW
(Recall at 80% precision (Landmarks Visibility) metric)
On the representation and methodology for wide and short range head pose estimation
We also propose a generalization of the geodesic angular distance metric that enables the construction of a loss that controls the contribution of each training sample to the optimization of the model.
Ranked #1 on
Head Pose Estimation
on Panoptic
