Benchmarking Multimodal Large Language Models for Face Recognition
Multimodal large language models (MLLMs) have achieved remarkable performance across diverse vision-and-language tasks. However, their potential in face recognition remains …
Benchmarking Multimodal Large Language Models for Face Recognition
Multimodal Large Language Models (MLLMs) have recently been explored as face verification systems that determine whether two face images are of the same person. Unlike dedicated …
Detecting Text Manipulation in Images using Vision Language Models
Recent works have shown the effectiveness of Large Vision Language Models (VLMs or LVLMs) in image manipulation detection. However, text manipulation detection is largely missing …
xEdgeFace: Efficient Cross-Spectral Face Recognition for Edge Devices
We present EdgeFace- a lightweight and efficient face recognition network inspired by the hybrid architecture of EdgeNeXt. By effectively combining the strengths of both CNN and …
The Invisible Threat: Evaluating the Vulnerability of Cross-Spectral Face Recognition to Presentation Attacks
Cross-spectral face recognition systems are designed to enhance the performance of facial recognition systems by enabling cross-modal matching under challenging operational …
FantasyID: A dataset for detecting digital manipulations of ID-documents
dvancements in image generation led to the availability of easy-to-use tools for malicious actors to create forged images. These tools pose a serious threat to the widespread Know …
FaceLLM: A Multimodal Large Language Model for Face Understanding
Multimodal large language models (MLLMs) have shown remarkable performance in vision-language tasks. However, existing MLLMs are primarily trained on generic datasets, limiting …
EdgeDoc: Hybrid CNN-Transformer Model for Accurate Forgery Detection and Localization in ID Documents
The widespread availability of tools for manipulating images and documents has made it increasingly easy to forge digital documents, posing a serious threat to Know Your Customer …
DeepID Challenge of Detecting Synthetic Manipulations in ID Documents
An increase in AI based manipulations of ID document images threatens KYC systems widely used in online banking and other digital authentication services. DeepID challenge aimed to …
ArtFace: Towards Historical Portrait Face Identification via Model Adaptation
Identifying sitters in historical paintings is a key task for art historians, offering insight into their lives and how they chose to be seen. However, the process is often …