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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 1–25 of 95 papers

TitleStatusHype
LARNet: Lie Algebra Residual Network for Face RecognitionCode1
Embedding Non-Distortive Cancelable Face Template GenerationCode1
Weakly supervised discriminative feature learning with state information for person identificationCode1
SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding RobustnessCode1
Complete Face Recovery GAN: Unsupervised Joint Face Rotation and De-Occlusion From a Single-View ImageCode1
SFace: Sigmoid-Constrained Hypersphere Loss for Robust Face RecognitionCode1
OSTeC: One-Shot Texture CompletionCode1
Stacked Dense U-Nets with Dual Transformers for Robust Face AlignmentCode1
Accelerated Variance Reduced Stochastic Extragradient Method for Sparse Machine Learning Problems—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
CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection—0
Collaborative Representation based Classification for Face Recognition—0
Collaborative representation-based robust face recognition by discriminative low-rank representation—0
Face Recognition using 3D CNNs—0
Attentional Feature-Pair Relation Networks for Accurate Face Recognition—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
Dual Encoder-Decoder based Generative Adversarial Networks for Disentangled Facial Representation Learning—0
Disentangled Representation Learning GAN for Pose-Invariant Face Recognition—0
Face frontalization for Alignment and Recognition—0
Face Recognition by Fusion of Local and Global Matching Scores using DS Theory: An Evaluation with Uni-classifier and Multi-classifier Paradigm—0
Face Recognition Under Varying Blur, Illumination and Expression in an Unconstrained Environment—0
Discriminative Local Sparse Representations for Robust Face Recognition—0
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