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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 251–300 of 308 papers

TitleStatusHype
Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks—0
Cascaded Continuous Regression for Real-time Incremental Face Tracking—0
Learning deep representation from coarse to fine for face alignment—0
Mnemonic Descent Method: A recurrent process applied for end-to-end face alignmentCode1
Mnemonic Descent Method: A Recurrent Process Applied for End-To-End Face Alignment—0
Occlusion-Free Face Alignment: Deep Regression Networks Coupled With De-Corrupt AutoEncoders—0
Large-Pose Face Alignment via CNN-Based Dense 3D Model Fitting—0
Unconstrained Face Alignment via Cascaded Compositional Learning—0
Deep Deformation Network for Object Landmark Localization—0
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional NetworksCode1
Robust Head-Pose Estimation Based on Partially-Latent Mixture of Linear Regressions—0
A Comprehensive Performance Evaluation of Deformable Face Tracking "In-the-Wild"Code0
Face Alignment by Local Deep Descriptor Regression—0
Regressive Tree Structured Model for Facial Landmark Localization—0
PIEFA: Personalized Incremental and Ensemble Face Alignment—0
Robust Statistical Face Frontalization—0
Leveraging Datasets With Varying Annotations for Face Alignment via Deep Regression Network—0
Face Alignment Across Large Poses: A 3D Solution—0
Towards Arbitrary-View Face Alignment by Recommendation Trees—0
Coarse-to-fine Face Alignment with Multi-Scale Local Patch Regression—0
An Empirical Study of Recent Face Alignment Methods—0
Robust Face Alignment Using a Mixture of Invariant Experts—0
Efficient Face Alignment via Locality-constrained Representation for Robust Recognition—0
Deep Multimodal Speaker Naming—0
Unconstrained Facial Landmark Localization with Backbone-Branches Fully-Convolutional Networks—0
Face Alignment Assisted by Head Pose EstimationCode0
Pose-Invariant 3D Face Alignment—0
Face alignment by coarse-to-fine shape searchingCode0
Active Pictorial Structures—0
Unifying Holistic and Parts-Based Deformable Model Fitting—0
Real-Time 3D Head Pose and Facial Landmark Estimation From Depth Images Using Triangular Surface Patch Features—0
Face Alignment Using Cascade Gaussian Process Regression Trees—0
Unconstrained 3D Face Reconstruction—0
Project-Out Cascaded Regression With an Application to Face Alignment—0
Mirror, mirror on the wall, tell me, is the error small?—0
Robust Face Recognition by Constrained Part-based Alignment—0
Facial Feature Point Detection: A Comprehensive Survey—0
Deep Regression for Face Alignment—0
Transferring Landmark Annotations for Cross-Dataset Face Alignment—0
Learning Deep Representation for Face Alignment with Auxiliary Attributes—0
Key Event Detection in Video using ASR and Visual Data—0
3D faces in motion: Fully automatic registration and statistical analysisCode0
One Millisecond Face Alignment with an Ensemble of Regression Trees—0
RAPS: Robust and Efficient Automatic Construction of Person-Specific Deformable Models—0
Face Alignment at 3000 FPS via Regressing Local Binary Features—0
Nonparametric Context Modeling of Local Appearance for Pose- and Expression-Robust Facial Landmark Localization—0
Non-Parametric Bayesian Constrained Local Models—0
Gauss-Newton Deformable Part Models for Face Alignment in-the-Wild—0
Towards Multi-view and Partially-Occluded Face Alignment—0
Incremental Face Alignment in the Wild—0
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