Skip to Main content Skip to Navigation
Conference papers

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
Document type :
Conference papers
Complete list of metadata
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 : Monday, December 6, 2021 - 5:12:03 PM

Identifiers

  • HAL Id : hal-02450430, version 1

Collections

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

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⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

97