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Face Alignment

Face alignment is the task of identifying the geometric structure of faces in digital images, and attempting to obtain a canonical alignment of the face based on translation, scale, and rotation.

( Image credit: 3DDFA_V2 )

Papers

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Showing 251–275 of 308 papers

TitleStatusHype
Deep Multimodal Speaker Naming—0
Deep Regression for Face Alignment—0
DeMeshNet: Blind Face Inpainting for Deep MeshFace Verification—0
DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild—0
Detecting and Aligning Faces by Image Retrieval—0
Direct Shape Regression Networks for End-to-End Face Alignment—0
Disentangling 3D Pose in A Dendritic CNN for Unconstrained 2D Face Alignment—0
Dynamic Attention-controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-set Sample Weighting—0
Dynamic Facial Analysis: From Bayesian Filtering to Recurrent Neural Network—0
Effective face landmark localization via single deep network—0
Effect of Super Resolution on High Dimensional Features for Unsupervised Face Recognition in the Wild—0
Efficient and Accurate Face Alignment by Global Regression and Cascaded Local Refinement—0
Efficient Branching Cascaded Regression for Face Alignment under Significant Head Rotation—0
Efficient Face Alignment via Locality-constrained Representation for Robust Recognition—0
Efficient Likelihood Bayesian Constrained Local Model—0
End-To-End Face Detection and Recognition—0
Exemplar-Based Face Parsing—0
Exploring StyleGAN Latent Space for Face Alignment with Limited Training Data—0
Face Alignment Across Large Poses: A 3D Solution—0
Face Alignment at 3000 FPS via Regressing Local Binary Features—0
Face alignment by explicit shape regression—0
Face Alignment by Local Deep Descriptor Regression—0
Face Alignment In-the-Wild: A Survey—0
Face Alignment Robust to Pose, Expressions and Occlusions—0
Face Alignment Using Active Shape Model And Support Vector Machine—0
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