4 citations · 5 across the 5 of their papers we have counts for
5 papers · 1 filter
ChatGPT Encounters Morphing Attack Detection: Zero-Shot MAD with Multi-Modal Large Language Models and General Vision Models
Haoyu Zhang, Raghavendra Ramachandra, Kiran Raja +1
Face Recognition Systems (FRS) are increasingly vulnerable to face-morphing attacks, prompting the development of Morphing Attack Detection (MAD) algorithms. However, a key challen…
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…
How Far Can I Go ? : A Self-Supervised Approach for Deterministic Video Depth Forecasting
Sauradip Nag, Nisarg Shah, Anran Qi +1
In this paper we present a novel self-supervised method to anticipate the depth estimate for a future, unobserved real-world urban scene. This work is the first to explore self-sup…
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…