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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 226–250 of 308 papers

TitleStatusHype
Learning Robust Facial Landmark Detection via Hierarchical Structured Ensemble—0
Leveraging Datasets With Varying Annotations for Face Alignment via Deep Regression Network—0
Leveraging intra and inter-dataset variations for robust face alignment—0
LOTR: Face Landmark Localization Using Localization Transformer—0
LPRNet: Lightweight Deep Network by Low-rank Pointwise Residual Convolution—0
Making Convolutional Networks Recurrent for Visual Sequence Learning—0
Mask Attack Detection Using Vascular-weighted Motion-robust rPPG Signals—0
Mask-off: Synthesizing Face Images in the Presence of Head-mounted Displays—0
Memory-Efficient Global Refinement of Decision-Tree Ensembles and its Application to Face Alignment—0
Mirror, mirror on the wall, tell me, is the error small?—0
Mitigating Knowledge Discrepancies among Multiple Datasets for Task-agnostic Unified Face Alignment—0
Mnemonic Descent Method: A Recurrent Process Applied for End-To-End Face Alignment—0
MobileFAN: Transferring Deep Hidden Representation for Face Alignment—0
Monocular Free-Head 3D Gaze Tracking With Deep Learning and Geometry Constraints—0
Multi-Attribute Robust Component Analysis for Facial UV Maps—0
Multi-Domain Multi-Definition Landmark Localization for Small Datasets—0
Multi-modal Facial Action Unit Detection with Large Pre-trained Models for the 5th Competition on Affective Behavior Analysis in-the-wild—0
Multiple Face Analyses through Adversarial Learning—0
Multistage Model for Robust Face Alignment Using Deep Neural Networks—0
Multi-task Learning of Cascaded CNN for Facial Attribute Classification—0
Non-Parametric Bayesian Constrained Local Models—0
Nonparametric Context Modeling of Local Appearance for Pose- and Expression-Robust Facial Landmark Localization—0
Occlusion-Free Face Alignment: Deep Regression Networks Coupled With De-Corrupt AutoEncoders—0
One Millisecond Face Alignment with an Ensemble of Regression Trees—0
PIEFA: Personalized Incremental and Ensemble Face Alignment—0
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