(CVPR2022) GazeOnce: Real-Time Multi-Person Gaze Estimation
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The MPSGaze dataset is a synthetic dataset containing full images (instead of only cropped faces) that provides ground truth 3D gaze directions for multiple people in one image.
We propose the first one-stage end-to-end gaze estimation method, GazeOnce, which is capable of simultaneously predicting gaze directions for multiple faces (>10) in an image. The overview of our method and an example of our output are shown below.
@inproceedings{zhang2022gazeonce,
title={GazeOnce: Real-Time Multi-Person Gaze Estimation},
author={Zhang, Mingfang and Liu, Yunfei and Lu, Feng},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages={1--10},
year={2022}
}