Search Results for author: Meiling Fang

Found 25 papers, 12 papers with code

Iris Liveness Detection Competition (LivDet-Iris) -- The 2023 Edition

no code implementations6 Oct 2023 Patrick Tinsley, Sandip Purnapatra, Mahsa Mitcheff, Aidan Boyd, Colton Crum, Kevin Bowyer, Patrick Flynn, Stephanie Schuckers, Adam Czajka, Meiling Fang, Naser Damer, Xingyu Liu, Caiyong Wang, Xianyun Sun, Zhaohua Chang, Xinyue Li, Guangzhe Zhao, Juan Tapia, Christoph Busch, Carlos Aravena, Daniel Schulz

New elements in this fifth competition include (1) GAN-generated iris images as a category of presentation attack instruments (PAI), and (2) an evaluation of human accuracy at detecting PAI as a reference benchmark.

Liveness Detection Competition -- Noncontact-based Fingerprint Algorithms and Systems (LivDet-2023 Noncontact Fingerprint)

no code implementations1 Oct 2023 Sandip Purnapatra, Humaira Rezaie, Bhavin Jawade, Yu Liu, Yue Pan, Luke Brosell, Mst Rumana Sumi, Lambert Igene, Alden Dimarco, Srirangaraj Setlur, Soumyabrata Dey, Stephanie Schuckers, Marco Huber, Jan Niklas Kolf, Meiling Fang, Naser Damer, Banafsheh Adami, Raul Chitic, Karsten Seelert, Vishesh Mistry, Rahul Parthe, Umit Kacar

The competition serves as an important benchmark in noncontact-based fingerprint PAD, offering (a) independent assessment of the state-of-the-art in noncontact-based fingerprint PAD for algorithms and systems, and (b) common evaluation protocol, which includes finger photos of a variety of Presentation Attack Instruments (PAIs) and live fingers to the biometric research community (c) provides standard algorithm and system evaluation protocols, along with the comparative analysis of state-of-the-art algorithms from academia and industry with both old and new android smartphones.

ExFaceGAN: Exploring Identity Directions in GAN's Learned Latent Space for Synthetic Identity Generation

1 code implementation11 Jul 2023 Fadi Boutros, Marcel Klemt, Meiling Fang, Arjan Kuijper, Naser Damer

To generate multiple samples of a certain synthetic identity, previous works proposed to disentangle the latent space of GANs by incorporating additional supervision or regularization, enabling the manipulation of certain attributes.

Attribute Face Recognition

Are Explainability Tools Gender Biased? A Case Study on Face Presentation Attack Detection

no code implementations26 Apr 2023 Marco Huber, Meiling Fang, Fadi Boutros, Naser Damer

Face recognition (FR) systems continue to spread in our daily lives with an increasing demand for higher explainability and interpretability of FR systems that are mainly based on deep learning.

Face Presentation Attack Detection Face Recognition

SynthASpoof: Developing Face Presentation Attack Detection Based on Privacy-friendly Synthetic Data

1 code implementation5 Mar 2023 Meiling Fang, Marco Huber, Naser Damer

To target these legal and technical challenges, this work presents the first synthetic-based face PAD dataset, named SynthASpoof, as a large-scale PAD development dataset.

Domain Generalization Face Presentation Attack Detection +1

Fairness in Face Presentation Attack Detection

1 code implementation19 Sep 2022 Meiling Fang, Wufei Yang, Arjan Kuijper, Vitomir Struc, Naser Damer

Face recognition (FR) algorithms have been proven to exhibit discriminatory behaviors against certain demographic and non-demographic groups, raising ethical and legal concerns regarding their deployment in real-world scenarios.

Attribute Data Augmentation +3

Unsupervised Face Morphing Attack Detection via Self-paced Anomaly Detection

1 code implementation11 Aug 2022 Meiling Fang, Fadi Boutros, Naser Damer

However, given variations in the morphing attacks, the performance of supervised MAD solutions drops significantly due to the insufficient diversity and quantity of the existing MAD datasets.

Anomaly Detection Face Morphing Attack Detection +1

Intra and Cross-spectrum Iris Presentation Attack Detection in the NIR and Visible Domains

no code implementations5 May 2022 Meiling Fang, Fadi Boutros, Naser Damer

Extensive experiments are performed on six NIR and one visible-light iris databases to show the effectiveness and robustness of proposed A-PBS methods.

Iris Recognition

Privacy-friendly Synthetic Data for the Development of Face Morphing Attack Detectors

1 code implementation13 Mar 2022 Naser Damer, César Augusto Fontanillo López, Meiling Fang, Noémie Spiller, Minh Vu Pham, Fadi Boutros

The main question this work aims at answering is: "can morphing attack detection (MAD) solutions be successfully developed based on synthetic data?".

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

1 code implementation CVPR 2023 Fadi Boutros, Meiling Fang, Marcel Klemt, Biying Fu, Naser Damer

Based on that, our proposed CR-FIQA uses this paradigm to estimate the face image quality of a sample by predicting its relative classifiability.

Face Image Quality Face Image Quality Assessment +1

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

no code implementations8 Nov 2021 Meiling Fang, Fadi Boutros, Arjan Kuijper, Naser Damer

Our proposed method outperforms established PAD methods in the CRMA database by reducing the mentioned shortcomings when facing masked faces.

Face Presentation Attack Detection Face Recognition

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

1 code implementation16 Sep 2021 Meiling Fang, Naser Damer, Florian Kirchbuchner, Arjan Kuijper

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 securing face recognition systems.

Domain Adaptation Face Presentation Attack Detection +1

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

no code implementations23 Aug 2021 Naser Damer, Noemie Spiller, Meiling Fang, Fadi Boutros, Florian Kirchbuchner, Arjan Kuijper

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.

Face Morphing Attack Detection

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

no code implementations20 Aug 2021 Naser Damer, Kiran Raja, Marius Süßmilch, Sushma Venkatesh, Fadi Boutros, Meiling Fang, Florian Kirchbuchner, Raghavendra Ramachandra, Arjan Kuijper

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 border checks.

Face Recognition Generative Adversarial Network

MixFaceNets: Extremely Efficient Face Recognition Networks

1 code implementation27 Jul 2021 Fadi Boutros, Naser Damer, Meiling Fang, Florian Kirchbuchner, Arjan Kuijper

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 Kernels.

Face Verification Lightweight Face Recognition

Masked Face Recognition: Human vs. Machine

no code implementations2 Mar 2021 Naser Damer, Fadi Boutros, Marius Süßmilch, Meiling Fang, Florian Kirchbuchner, Arjan Kuijper

This work provides a joint evaluation and in-depth analyses of the face verification performance of human experts in comparison to state-of-the-art automatic FR solutions.

Face Recognition Face Verification

Micro Stripes Analyses for Iris Presentation Attack Detection

no code implementations28 Oct 2020 Meiling Fang, Naser Damer, Florian Kirchbuchner, Arjan Kuijper

In this paper, we propose a lightweight framework to detect iris presentation attacks by extracting multiple micro-stripes of expanded normalized iris textures.

Iris Recognition Iris Segmentation

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