Paper-Conference

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 …

ArtFace: Towards Historical Portrait Face Identification via Model Adaptation

We investigate foundation models for recognizing sitters in historical portraits. By fine-tuning CLIP and adapting a face recognition network, then fusing their embeddings, the …

xEdgeFace: Efficient Cross-Spectral Face Recognition for Edge Devices

The Invisible Threat: Evaluating the Vulnerability of Cross-Spectral Face Recognition to Presentation Attacks

Synthetic Face Datasets Generation via Latent Space Exploration from Brownian Identity Diffusion

Investigation of accuracy and bias in face recognition trained with synthetic data

HyperFace: Generating Synthetic Face Recognition Datasets by Exploring Face Embedding Hypersphere

HintsOfTruth: A Multimodal Checkworthiness Detection Dataset with Real and Synthetic Claims

FantasyID: A dataset for detecting digital manipulations of ID-documents

Exploring ChatGPT for Face Presentation Attack Detection in Zero and Few-Shot In-Context Learning