11 citations · 25 across the 12 of their papers we have counts for
13 papers
Robust Sclera Segmentation for Skin-tone Agnostic Face Image Quality Assessment
Wassim Kabbani, Christoph Busch, Kiran Raja
Face image quality assessment (FIQA) is crucial for obtaining good face recognition performance. FIQA algorithms should be robust and insensitive to demographic factors. The eye sc…
Differential Newborn Face Morphing Attack Detection using Wavelet Scatter Network
Raghavendra Ramachandra, Sushma Venkatesh, Guoqiang Li +1
Face Recognition System (FRS) are shown to be vulnerable to morphed images of newborns. Detecting morphing attacks stemming from face images of newborn is important to avoid unwant…
Towards minimizing efforts for Morphing Attacks -- Deep embeddings for morphing pair selection and improved Morphing Attack Detection
Roman Kessler, Kiran Raja, Juan Tapia +1
Face Morphing Attacks pose a threat to the security of identity documents, especially with respect to a subsequent access control process, because it enables both individuals invol…
A Latent Fingerprint in the Wild Database
Xinwei Liu, Kiran Raja, Renfang Wang +9
Latent fingerprints are among the most important and widely used evidence in crime scenes, digital forensics and law enforcement worldwide. Despite the number of advancements repor…
Learning Pairwise Interaction for Generalizable DeepFake Detection
Ying Xu, Kiran Raja, Luisa Verdoliva +1
A fast-paced development of DeepFake generation techniques challenge the detection schemes designed for known type DeepFakes. A reliable Deepfake detection approach must be agnosti…
SRTGAN: Triplet Loss based Generative Adversarial Network for Real-World Super-Resolution
Dhruv Patel, Abhinav Jain, Simran Bawkar +6
Many applications such as forensics, surveillance, satellite imaging, medical imaging, etc., demand High-Resolution (HR) images. However, obtaining an HR image is not always possib…
Time flies by: Analyzing the Impact of Face Ageing on the Recognition Performance with Synthetic Data
Marcel Grimmer, Haoyu Zhang, Raghavendra Ramachandra +2
The vast progress in synthetic image synthesis enables the generation of facial images in high resolution and photorealism. In biometric applications, the main motivation for using…
SYN-MAD 2022: Competition on Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data
Marco Huber, Fadi Boutros, Anh Thi Luu +16
This paper presents a summary of the Competition on Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data (SYN-MAD) held at the 2022 International Joint Con…
Analyzing Fairness in Deepfake Detection With Massively Annotated Databases
Ying Xu, Philipp Terhörst, Kiran Raja +1
In recent years, image and video manipulations with Deepfake have become a severe concern for security and society. Many detection models and datasets have been proposed to detect…
On the (Limited) Generalization of MasterFace Attacks and Its Relation to the Capacity of Face Representations
Philipp Terhörst, Florian Bierbaum, Marco Huber +4
A MasterFace is a face image that can successfully match against a large portion of the population. Since their generation does not require access to the information of the enrolle…
Analyzing Human Observer Ability in Morphing Attack Detection -- Where Do We Stand?
Sankini Rancha Godage, Frøy Løvåsdal, Sushma Venkatesh +3
Few studies have focused on examining how people recognize morphing attacks, even as several publications have examined the susceptibility of automated FRS and offered morphing att…
Generation of Non-Deterministic Synthetic Face Datasets Guided by Identity Priors
Marcel Grimmer, Haoyu Zhang, Raghavendra Ramachandra +2
Enabling highly secure applications (such as border crossing) with face recognition requires extensive biometric performance tests through large scale data. However, using real fac…
Algorithmic Fairness in Face Morphing Attack Detection
Raghavendra Ramachandra, Kiran Raja, Christoph Busch
Face morphing attacks can compromise Face Recognition System (FRS) by exploiting their vulnerability. Face Morphing Attack Detection (MAD) techniques have been developed in recent…