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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 51–75 of 95 papers

TitleStatusHype
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
When 3D-Aided 2D Face Recognition Meets Deep Learning: An extended UR2D for Pose-Invariant Face Recognition—0
Learning a High Fidelity Pose Invariant Model for High-resolution Face Frontalization—0
Low-Rank Laplacian-Uniform Mixed Model for Robust Face Recognition—0
M2FPA: A Multi-Yaw Multi-Pitch High-Quality Database and Benchmark for Facial Pose Analysis—0
M2FPA: A Multi-Yaw Multi-Pitch High-Quality Dataset and Benchmark for Facial Pose Analysis—0
Masked Face Recognition with Latent Part Detection—0
Median Pixel Difference Convolutional Network for Robust Face Recognition—0
Modal Regression based Atomic Representation for Robust Face Recognition—0
Multi-Path Region-Based Convolutional Neural Network for Accurate Detection of Unconstrained "Hard Faces"—0
Multi-Subregion Based Correlation Filter Bank for Robust Face Recognition—0
Occlusion-guided compact template learning for ensemble deep network-based pose-invariant face recognition—0
On Robust Face Recognition via Sparse Encoding: the Good, the Bad, and the Ugly—0
PAM: Pose Attention Module for Pose-Invariant Face Recognition—0
Peak-Piloted Deep Network for Facial Expression Recognition—0
Pose-invariant face recognition via feature-space pose frontalization—0
Pushing the Frontiers of Unconstrained Face Detection and Recognition: IARPA Janus Benchmark A—0
Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results—0
Reconstruction-Based Disentanglement for Pose-invariant Face Recognition—0
Regularized Robust Coding for Face Recognition—0
Representation Learning by Rotating Your Faces—0
Robust face recognition based on the wing loss and the _1 regularization—0
Robust Face Recognition by Constrained Part-based Alignment—0
Robust Face Recognition using Local Illumination Normalization and Discriminant Feature Point Selection—0
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