DeCaFA: Deep Convolutional Cascade for Face Alignment In The Wild - Archive ouverte HAL Access content directly
Conference Papers Year : 2019

DeCaFA: Deep Convolutional Cascade for Face Alignment In The Wild

Arnaud Dapogny
  • Function : Author
Datakalab
Machine Learning and Information Access
Bailly Kevin
Institut des Systèmes Intelligents et de Robotique
Matthieu Cord
Machine Learning and Information Access

Domains

Computer Science [cs] Computer Vision and Pattern Recognition [cs.CV] Computer Science [cs] Artificial Intelligence [cs.AI]

Kévin Bailly  : Connect in order to contact the contributor

https://hal.sorbonne-universite.fr/hal-02450430

Submitted on : Wednesday, January 22, 2020-11:56:59 PM

Last modification on : Friday, March 24, 2023-2:53:14 PM

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hal-02450430 , version 1 (22-01-2020)

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  • HAL Id : hal-02450430 , version 1

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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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