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20202023
most citedCR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability

20 citations · 45 across the 24 of their papers we have counts for

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Showing 2021Show all

9 papers · 1 filter

cs.CV2021★ 20 cited

CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability

Fadi Boutros, Meiling Fang, Marcel Klemt +2

The quality of face images significantly influences the performance of underlying face recognition algorithms. Face image quality assessment (FIQA) estimates the utility of the cap…

cs.CV2021

Partial Attack Supervision and Regional Weighted Inference for Masked Face Presentation Attack Detection

Meiling Fang, Fadi Boutros, Arjan Kuijper +1

Wearing a mask has proven to be one of the most effective ways to prevent the transmission of SARS-CoV-2 coronavirus. However, wearing a mask poses challenges for different face re…

cs.CV2021★ 4 cited

Learnable Multi-level Frequency Decomposition and Hierarchical Attention Mechanism for Generalized Face Presentation Attack Detection

Meiling Fang, Naser Damer, Florian Kirchbuchner +1

With the increased deployment of face recognition systems in our daily lives, face presentation attack detection (PAD) is attracting much attention and playing a key role in securi…

cs.CV2021

PW-MAD: Pixel-wise Supervision for Generalized Face Morphing Attack Detection

Naser Damer, Noemie Spiller, Meiling Fang +3

A face morphing attack image can be verified to multiple identities, making this attack a major vulnerability to processes based on identity verification, such as border checks. Va…

cs.CV2021

ReGenMorph: Visibly Realistic GAN Generated Face Morphing Attacks by Attack Re-generation

Naser Damer, Kiran Raja, Marius Süßmilch +6

Face morphing attacks aim at creating face images that are verifiable to be the face of multiple identities, which can lead to building faulty identity links in operations like bor…

cs.CV2021

MixFaceNets: Extremely Efficient Face Recognition Networks

Fadi Boutros, Naser Damer, Meiling Fang +2

In this paper, we present a set of extremely efficient and high throughput models for accurate face verification, MixFaceNets which are inspired by Mixed Depthwise Convolutional Ke…

cs.CV2021★ 2 cited

Iris Presentation Attack Detection by Attention-based and Deep Pixel-wise Binary Supervision Network

Meiling Fang, Naser Damer, Fadi Boutros +2

Iris presentation attack detection (PAD) plays a vital role in iris recognition systems. Most existing CNN-based iris PAD solutions 1) perform only binary label supervision during…

cs.CV2021★ 7 cited

Masked Face Recognition: Human vs. Machine

Naser Damer, Fadi Boutros, Marius Süßmilch +3

The recent COVID-19 pandemic has increased the focus on hygienic and contactless identity verification methods. However, the pandemic led to the wide use of face masks, essential t…

cs.CV2021

Real Masks and Spoof Faces: On the Masked Face Presentation Attack Detection

Meiling Fang, Naser Damer, Florian Kirchbuchner +1

Face masks have become one of the main methods for reducing the transmission of COVID-19. This makes face recognition (FR) a challenging task because masks hide several discriminat…