Representative face samples of HPGEN

Reducing Head Pose Estimation Data Set Bias With Synthetic Data

In this paper we report the existence of data set biases in the most widely used head pose estimation benchmarks, which lead to an optimistic estimation of model performance in real-world scenarios.

April 2025 · Roberto Valle, José Miguel Buenaposada, Luis Baumela
Comparison of Geodesic and Opal losses, and the influence functions (gradients) obtained by both

On the representation and methodology for wide and short range head pose estimation

In this paper we analyze the methodology for short- and wide-range HPE and discuss which representations and metrics are adequate for each case.

January 2024 · Alejandro Cobo, Roberto Valle, José Miguel Buenaposada, Luis Baumela
Simultaneous head pose estimation, facial landmark location and their visibility predictions when processing a video from 300VW

Multi-task head pose estimation in-the-wild

We show that the combination of head pose estimation and landmark-based face alignment significantly improve the performance of the former task.

December 2020 · Roberto Valle, José Miguel Buenaposada, Luis Baumela
Representative results with yaw errors greater than 15 degrees for AFLW

Benchmarking Head Pose Estimation In-the-Wild

In this paper we present a real-time facial landmark regression method based on a coarse-to-fine Ensemble of Regression Trees (ERT).

February 2017 · Elvira Amador, Roberto Valle, José Miguel Buenaposada, Luis Baumela
Estimation of head-pose orientation using different face image patches

Head-Pose Estimation In-the-Wild Using a Random Forest

In this paper we present a real-time algorithm that estimates the head-pose from unrestricted 2D gray-scale images.

July 2016 · Roberto Valle, José Miguel Buenaposada, Antonio Valdés, Luis Baumela