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Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation

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Feng,  Haiwen
Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Bolkart,  Timo
Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Tesch,  Joachim
Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Black,  Michael J.       
Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Abrevaya,  Victoria
Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Citation

Feng, H., Bolkart, T., Tesch, J., Black, M. J., & Abrevaya, V. (2022). Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation. In S. Avidan, G. Brostow, M. Cissé, G. M. Farinella, & T. Hassner (Eds.), Computer Vision – ECCV 2022 (pp. 72-90). Cham: Springer. doi:10.1007/978-3-031-19778-9_5.


Cite as: https://hdl.handle.net/21.11116/0000-000D-416F-E
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