Robust Face Recognition

7 papers with code ยท Computer Vision

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 )

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Latest papers without code

Generalized Multi-view Shared Subspace Learning using View Bootstrapping

12 May 2020

A key objective in multi-view learning is to model the information common to multiple parallel views of a class of objects/events to improve downstream learning tasks.

3D OBJECT CLASSIFICATION FACE RECOGNITION MULTI-VIEW LEARNING OBJECT CLASSIFICATION ROBUST FACE RECOGNITION

A Unified Weight Learning and Low-Rank Regression Model for Robust Face Recognition

10 May 2020

In this paper, we address this problem by a unified sparse weight learning and low-rank approximation regression model and applied it to the robust face recognition in the presence of varying types and levels of corruptions, such as random pixel corruptions and block occlusions, or disguise.

FACE RECOGNITION ROBUST FACE RECOGNITION

Accelerated Variance Reduced Stochastic Extragradient Method for Sparse Machine Learning Problems

ICLR 2020

Moreover, our theoretical analysis shows that AVR-SExtraGD enjoys the best-known convergence rates and oracle complexities of stochastic first-order algorithms such as Katyusha for both strongly convex and non-strongly convex problems.

FACE RECOGNITION ROBUST FACE RECOGNITION

Collaborative representation-based robust face recognition by discriminative low-rank representation

17 Dec 2019

We consider the problem of robust face recognition in which both the training and test samples might be corrupted because of disguise and occlusion.

FACE RECOGNITION ROBUST FACE RECOGNITION SPARSE REPRESENTATION-BASED CLASSIFICATION

A Paired Sparse Representation Model for Robust Face Recognition from a Single Sample

5 Oct 2019

In order to account for non-linear variations due to pose, a paired sparse representation model is introduced allowing for joint use of variational information and synthetic face images.

FACE RECOGNITION ROBUST FACE RECOGNITION SPARSE REPRESENTATION-BASED CLASSIFICATION

Occlusion Robust Face Recognition Based on Mask Learning With Pairwise Differential Siamese Network

ICCV 2019

Inspired by the fact that human visual system explicitly ignores the occlusion and only focuses on the non-occluded facial areas, we propose a mask learning strategy to find and discard corrupted feature elements from recognition.

FACE RECOGNITION ROBUST FACE RECOGNITION

Attentional Feature-Pair Relation Networks for Accurate Face Recognition

ICCV 2019

In this paper, we propose a novel face recognition method, called Attentional Feature-pair Relation Network (AFRN), which represents the face by the relevant pairs of local appearance block features with their attention scores.

FACE IDENTIFICATION FACE RECOGNITION FACE VERIFICATION ROBUST FACE RECOGNITION

M2FPA: A Multi-Yaw Multi-Pitch High-Quality Dataset and Benchmark for Facial Pose Analysis

ICCV 2019

In this paper, a new large-scale Multi-yaw Multi-pitch high-quality database is proposed for Facial Pose Analysis (M2FPA), including face frontalization, face rotation, facial pose estimation and pose-invariant face recognition.

FACE GENERATION FACE RECOGNITION POSE ESTIMATION ROBUST FACE RECOGNITION

Dual Encoder-Decoder based Generative Adversarial Networks for Disentangled Facial Representation Learning

19 Sep 2019

To be more specific, the encoder-decoder structured generator is used to learn a pose disentangled face representation, and the encoder-decoder structured discriminator is tasked to perform real/fake classification, face reconstruction, determining identity and estimating face pose.

FACE GENERATION FACE RECOGNITION FACE RECONSTRUCTION POSE ESTIMATION REPRESENTATION LEARNING ROBUST FACE RECOGNITION

Occlusion Robust Face Recognition Based on Mask Learning with PairwiseDifferential Siamese Network

17 Aug 2019

Deep Convolutional Neural Networks (CNNs) have been pushing the frontier of the face recognition research in the past years.

FACE RECOGNITION ROBUST FACE RECOGNITION