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DeCaFA: Deep Convolutional Cascade for Face Alignment In The Wild

Arnaud Dapogny 1, 2 Bailly Kevin 3 Matthieu Cord 2 
1 Datakalab
2 MLIA - Machine Learning and Information Access
LIP6
3 ISIR - Institut des Systèmes Intelligents et de Robotique
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Conference papers
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https://hal.sorbonne-universite.fr/hal-02450430
Contributor : Kévin Bailly Connect in order to contact the contributor
Submitted on : Wednesday, January 22, 2020 - 11:56:59 PM
Last modification on : Sunday, June 26, 2022 - 2:46:01 AM

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  • HAL Id : hal-02450430, version 1

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CNRS | ISIR | LIP6 | SORBONNE-UNIVERSITE | SU-SCIENCES | ISIR_PIROS | ISIR_MLIA

Citation

Arnaud Dapogny, Bailly Kevin, Matthieu Cord. DeCaFA: Deep Convolutional Cascade for Face Alignment In The Wild. The IEEE International Conference on Computer Vision (ICCV), Oct 2019, Seoul, South Korea. ⟨hal-02450430⟩

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