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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 51–95 of 95 papers

TitleStatusHype
Robust Face Recognition by Constrained Part-based Alignment—0
Robust Face Recognition using Local Illumination Normalization and Discriminant Feature Point Selection—0
Robust Face Recognition via Adaptive Sparse Representation—0
Robust Face Recognition via Block Sparse Bayesian Learning—0
Robust Face Recognition via Multimodal Deep Face Representation—0
Robust Face Recognition with Deeply Normalized Depth Images—0
Robust Face Recognition with Structural Binary Gradient Patterns—0
Robust Statistical Face Frontalization—0
SASMU: boost the performance of generalized recognition model using synthetic face dataset—0
Side Information for Face Completion: a Robust PCA Approach—0
Sparsity and Robustness in Face Recognition—0
Structured Occlusion Coding for Robust Face Recognition—0
Test-Time Augmentation for Pose-invariant Face Recognition—0
Towards a Deep Learning Framework for Unconstrained Face Detection—0
Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization—0
Towards Pose Invariant Face Recognition in the Wild—0
Towards Pose Robust Face Recognition—0
Towards Robust Face Recognition with Comprehensive Search—0
Unconstrained Face Detection and Open-Set Face Recognition Challenge—0
UV-GAN: Adversarial Facial UV Map Completion for Pose-invariant Face Recognition—0
Vesselness features and the inverse compositional AAM for robust face recognition using thermal IR—0
3D human tongue reconstruction from single "in-the-wild" images—0
When 3D-Aided 2D Face Recognition Meets Deep Learning: An extended UR2D for Pose-Invariant Face Recognition—0
A 3D Face Modelling Approach for Pose-Invariant Face Recognition in a Human-Robot Environment—0
Accelerated Variance Reduced Stochastic Extragradient Method for Sparse Machine Learning Problems—0
A Deep Pyramid Deformable Part Model for Face Detection—0
A Fast and Accurate System for Face Detection, Identification, and Verification—0
A Multi-Face Challenging Dataset for Robust Face Recognition—0
An Effective Unconstrained Correlation Filter and Its Kernelization for Face Recognition—0
A Paired Sparse Representation Model for Robust Face Recognition from a Single Sample—0
Attentional Feature-Pair Relation Networks for Accurate Face Recognition—0
A Unified Weight Learning and Low-Rank Regression Model for Robust Complex Error Modeling—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
DArFace: Deformation Aware Robustness for Low Quality Face Recognition—0
Discriminative Local Sparse Representations for Robust Face Recognition—0
Disentangled Representation Learning GAN for Pose-Invariant Face Recognition—0
Distilling Facial Knowledge With Teacher-Tasks: Semantic-Segmentation-Features For Pose-Invariant Face-Recognition—0
Dual Encoder-Decoder based Generative Adversarial Networks for Disentangled Facial Representation Learning—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
Face Recognition using 3D CNNs—0
Face Recognition using Multi-Modal Low-Rank Dictionary Learning—0
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