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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

Showing 5175 of 95 papers

TitleStatusHype
Robust Face Recognition by Constrained Part-based Alignment0
Robust Face Recognition using Local Illumination Normalization and Discriminant Feature Point Selection0
Robust Face Recognition via Adaptive Sparse Representation0
Robust Face Recognition via Block Sparse Bayesian Learning0
Robust Face Recognition via Multimodal Deep Face Representation0
Robust Face Recognition with Deeply Normalized Depth Images0
Robust Face Recognition with Structural Binary Gradient Patterns0
Robust Statistical Face Frontalization0
SASMU: boost the performance of generalized recognition model using synthetic face dataset0
Side Information for Face Completion: a Robust PCA Approach0
Sparsity and Robustness in Face Recognition0
Structured Occlusion Coding for Robust Face Recognition0
Test-Time Augmentation for Pose-invariant Face Recognition0
Towards a Deep Learning Framework for Unconstrained Face Detection0
Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization0
Towards Pose Invariant Face Recognition in the Wild0
Towards Pose Robust Face Recognition0
Towards Robust Face Recognition with Comprehensive Search0
Unconstrained Face Detection and Open-Set Face Recognition Challenge0
UV-GAN: Adversarial Facial UV Map Completion for Pose-invariant Face Recognition0
Vesselness features and the inverse compositional AAM for robust face recognition using thermal IR0
3D human tongue reconstruction from single "in-the-wild" images0
When 3D-Aided 2D Face Recognition Meets Deep Learning: An extended UR2D for Pose-Invariant Face Recognition0
A 3D Face Modelling Approach for Pose-Invariant Face Recognition in a Human-Robot Environment0
Accelerated Variance Reduced Stochastic Extragradient Method for Sparse Machine Learning Problems0
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