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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 26–50 of 95 papers

TitleStatusHype
Generalized Multi-view Shared Subspace Learning using View Bootstrapping—0
Global Norm-Aware Pooling for Pose-Robust Face Recognition at Low False Positive Rate—0
GoDP: Globally optimized dual pathway system for facial landmark localization in-the-wild—0
High Order Local Directional Pattern Based Pyramidal Multi-structure for Robust Face Recognition—0
Illumination Normalization via Merging Locally Enhanced Textures for Robust Face Recognition—0
Implementation of Robust Face Recognition System Using Live Video Feed Based on CNN—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
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