activity
20202025
most citedMIPGAN -- Generating Strong and High Quality Morphing Attacks Using Identity Prior Driven GAN

9 citations · 19 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2025

Generalized Single-Image-Based Morphing Attack Detection Using Deep Representations from Vision Transformer

Haoyu Zhang, Raghavendra Ramachandra, Kiran Raja +1

Face morphing attacks have posed severe threats to Face Recognition Systems (FRS), which are operated in border control and passport issuance use cases. Correspondingly, morphing a…

cs.CV2024★ 4 cited

SynMorph: Generating Synthetic Face Morphing Dataset with Mated Samples

Haoyu Zhang, Raghavendra Ramachandra, Kiran Raja +1

Face morphing attack detection (MAD) algorithms have become essential to overcome the vulnerability of face recognition systems. To solve the lack of large-scale and public-availab…

cs.CV2022

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…

cs.CV2021★ 4 cited

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…

cs.CV2021

On the Applicability of Synthetic Data for Face Recognition

Haoyu Zhang, Marcel Grimmer, Raghavendra Ramachandra +2

Face verification has come into increasing focus in various applications including the European Entry/Exit System, which integrates face recognition mechanisms. At the same time, t…

cs.CV2020★ 9 cited

MIPGAN -- Generating Strong and High Quality Morphing Attacks Using Identity Prior Driven GAN

Haoyu Zhang, Sushma Venkatesh, Raghavendra Ramachandra +3

Face morphing attacks target to circumvent Face Recognition Systems (FRS) by employing face images derived from multiple data subjects (e.g., accomplices and malicious actors). Mor…

cs.CV2020★ 2 cited

Can GAN Generated Morphs Threaten Face Recognition Systems Equally as Landmark Based Morphs? -- Vulnerability and Detection

Sushma Venkatesh, Haoyu Zhang, Raghavendra Ramachandra +3

The primary objective of face morphing is to combine face images of different data subjects (e.g. a malicious actor and an accomplice) to generate a face image that can be equally…