Methods for 2D Gaze Estimation.

We provide the code of 2D gaze estimaion methods in this page. We implement most of methods in PyTorch.

If you use the codes in this page, please cite our survey:

@article{Cheng2021Survey,
    title={Appearance-based Gaze Estimation With Deep Learning: A Review and Benchmark},
    author={Yihua Cheng and Haofei Wang and Yiwei Bao and Feng Lu},
    journal={arXiv preprint arXiv:2104.12668},
    year={2021}
}

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Adaptive Feature Fusion Network for Gaze Tracking in Mobile Tablets

Download:

• Codes (author version)

Paper Citation

Please also cite the original paper:

@Inproceedings{Bao_2020_ICPR,
    title={Adaptive Feature Fusion Network for Gaze Tracking in Mobile Tablets},
    author={Yiwei Bao and Yihua Cheng and Yunfei Liu and Feng Lu},
    booktitle={The International Conference on Pattern Recognition (ICPR)},
    year={2020}
}

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Eye Tracking for Everyone

Download:

• Codes (implemented by Phi-ai Lab.)
• Codes (author version)

Paper Citation

Please also cite the original paper:

@InProceedings{Krafka_2016_CVPR,
    author = {Krafka, Kyle and Khosla, Aditya and Kellnhofer, Petr and Kannan, Harini and Bhandarkar, Suchendra and Matusik, Wojciech and Torralba, Antonio},
    title = {Eye Tracking for Everyone},
    booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    month = {June},
    year = {2016}
}