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Robust Face Recognition

Robust face recognition is the task of performing recognition in an unconstrained environment, where there is variation of view-point, scale, pose, illumination and expression of the face images.

( Image credit: MeGlass dataset )

Papers

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Showing 31–40 of 95 papers

TitleStatusHype
Face Recognition by Fusion of Local and Global Matching Scores using DS Theory: An Evaluation with Uni-classifier and Multi-classifier Paradigm—0
A Unified Weight Learning and Low-Rank Regression Model for Robust Complex Error Modeling—0
A Fast and Accurate System for Face Detection, Identification, and Verification—0
Accelerated Variance Reduced Stochastic Extragradient Method for Sparse Machine Learning Problems—0
Face frontalization for Alignment and Recognition—0
Attentional Feature-Pair Relation Networks for Accurate Face Recognition—0
Dual Encoder-Decoder based Generative Adversarial Networks for Disentangled Facial Representation Learning—0
Distilling Facial Knowledge With Teacher-Tasks: Semantic-Segmentation-Features For Pose-Invariant Face-Recognition—0
A Paired Sparse Representation Model for Robust Face Recognition from a Single Sample—0
A Deep Pyramid Deformable Part Model for Face Detection—0
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