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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 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
Face Alignment Using Cascade Gaussian Process Regression Trees—0
Face Alignment Using K-Cluster Regression Forests With Weighted Splitting—0
Face Alignment with Cascaded Semi-Parametric Deep Greedy Neural Forests—0
Face Alignment With Kernel Density Deep Neural Network—0
Face Detection, Bounding Box Aggregation and Pose Estimation for Robust Facial Landmark Localisation in the Wild—0
Face Detection with Feature Pyramids and Landmarks—0
Face Frontalization Based on Robustly Fitting a Deformable Shape Model to 3D Landmarks—0
Face Image Lighting Enhancement Using a 3D Model—0
FaceLift: Semi-supervised 3D Facial Landmark Localization—0
Face Shape-Guided Deep Feature Alignment for Face Recognition Robust to Face Misalignment—0
Facial Feature Point Detection: A Comprehensive Survey—0
Facial Landmark Detection Evaluation on MOBIO Database—0
Facial Landmark Machines: A Backbone-Branches Architecture with Progressive Representation Learning—0
Facial Landmarks Detection by Self-Iterative Regression based Landmarks-Attention Network—0
Fake It Till You Make It: Face analysis in the wild using synthetic data alone—0
FAN-Trans: Online Knowledge Distillation for Facial Action Unit Detection—0
Fast and Accurate: Structure Coherence Component for Face Alignment—0
Faster Than Real-time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses—0
Fiducial Focus Augmentation for Facial Landmark Detection—0
FreeEnricher: Enriching Face Landmarks without Additional Cost—0
Funnel-Structured Cascade for Multi-View Face Detection with Alignment-Awareness—0
Gauss-Newton Deformable Part Models for Face Alignment in-the-Wild—0
Geometrically Adaptive Dictionary Attack on Face Recognition—0
GoDP: Globally optimized dual pathway system for facial landmark localization in-the-wild—0
Hierarchical binary CNNs for landmark localization with limited resources—0
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