17 citations · 43 across the 22 of their papers we have counts for
23 papers
SynThermFace: Amplifying Limited Paired Data for Visible-Thermal Face Recognition via Synthetic Data Generation
Anjith George, Adam Unal, Sebastien Marcel
Face recognition (FR) is a widely used modality for biometric authentication, but conventional models rely on visible-spectrum imagery and degrade when high-quality RGB images cann…
LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection
Peter Lorenz, Anjith George, Marcel Sébastien
Face presentation attack detection (PAD) aims to reliably detect a wide range of presentation attacks. While PAD methods achieve strong performance within individual datasets, thei…
Improving Low-Resolution Face Recognition under Limited Data: How Synthetic Data Generation Can Close the Domain Gap
Luis S. Luevano, Ünsal Öztürk, Hatef Otroshi Shahreza +2
Face Recognition (FR) systems in surveillance settings often encounter Low Resolution (LR) faces, those whose face region falls below the standard 112 112 input size. Whil…
Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark
Peter Lorenz, Anjith George, Sébastien Marcel
Face presentation attack detection (PAD) remains challenging under cross-dataset evaluation, where domain shift degrades models trained on a single dataset. The scarcity of large-s…
GaitFace: A Multimodal Dataset for Long-Range Person Identification
Alain Komaty, Luis S. Luevano, Vidit Vidit +3
Efficient border control is becoming a significant global challenge, mainly due to severe congestion and extended passenger waiting times. To mitigate these bottlenecks and facilit…
DriveFace: A Cross-Spectral Through-Glass Face Dataset for On-the-Move Vehicular Border Control
Anjith George, Luis S. Luevano, Alain Komaty +3
The continuous growth in cross-border mobility places increasing pressure on existing border control infrastructures, motivating on-the-move biometric authentication, in which trav…
Lightweight Cross-Spectral Face Recognition via Contrastive Alignment and Distillation
Anjith George, Sebastien Marcel
Heterogeneous Face Recognition (HFR) aims at matching face images captured across different sensing modalities, such as thermal-to-visible or near-infrared-to-visible, enhancing th…
Evaluating Multimodal Large Language Models for Heterogeneous Face Recognition
Hatef Otroshi Shahreza, Anjith George, Sébastien Marcel
Multimodal Large Language Models (MLLMs) have recently demonstrated strong performance on a wide range of vision-language tasks, raising interest in their potential use for biometr…
ArtFace: Towards Historical Portrait Face Identification via Model Adaptation
Francois Poh, Anjith George, Sébastien Marcel
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 subject…
EdgeDoc: Hybrid CNN-Transformer Model for Accurate Forgery Detection and Localization in ID Documents
Anjith George, Sebastien Marcel
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 (…
Enhancing Domain Diversity in Synthetic Data Face Recognition with Dataset Fusion
Anjith George, Sebastien Marcel
While the accuracy of face recognition systems has improved significantly in recent years, the datasets used to train these models are often collected through web crawling without…
The Invisible Threat: Evaluating the Vulnerability of Cross-Spectral Face Recognition to Presentation Attacks
Anjith George, Sebastien Marcel
Cross-spectral face recognition systems are designed to enhance the performance of facial recognition systems by enabling cross-modal matching under challenging operational conditi…
xEdgeFace: Efficient Cross-Spectral Face Recognition for Edge Devices
Anjith George, Sebastien Marcel
Heterogeneous Face Recognition (HFR) addresses the challenge of matching face images across different sensing modalities, such as thermal to visible or near-infrared to visible, ex…
Exploring ChatGPT for Face Presentation Attack Detection in Zero and Few-Shot in-Context Learning
Alain Komaty, Hatef Otroshi Shahreza, Anjith George +1
This study highlights the potential of ChatGPT (specifically GPT-4o) as a competitive alternative for Face Presentation Attack Detection (PAD), outperforming several PAD models, in…
Second FRCSyn-onGoing: Winning Solutions and Post-Challenge Analysis to Improve Face Recognition with Synthetic Data
Ivan DeAndres-Tame, Ruben Tolosana, Pietro Melzi +56
Synthetic data is gaining increasing popularity for face recognition technologies, mainly due to the privacy concerns and challenges associated with obtaining real data, including…
Face Reconstruction from Face Embeddings using Adapter to a Face Foundation Model
Hatef Otroshi Shahreza, Anjith George, Sébastien Marcel
Face recognition systems extract embedding vectors from face images and use these embeddings to verify or identify individuals. Face reconstruction attack (also known as template i…
Digi2Real: Bridging the Realism Gap in Synthetic Data Face Recognition via Foundation Models
Anjith George, Sebastien Marcel
The accuracy of face recognition systems has improved significantly in the past few years, thanks to the large amount of data collected and advancements in neural network architect…
Modality Agnostic Heterogeneous Face Recognition with Switch Style Modulators
Anjith George, Sebastien Marcel
Heterogeneous Face Recognition (HFR) systems aim to enhance the capability of face recognition in challenging cross-modal authentication scenarios. However, the significant domain…
Heterogeneous Face Recognition Using Domain Invariant Units
Anjith George, Sebastien Marcel
Heterogeneous Face Recognition (HFR) aims to expand the applicability of Face Recognition (FR) systems to challenging scenarios, enabling the matching of face images across differe…
Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data
Ivan DeAndres-Tame, Ruben Tolosana, Pietro Melzi +55
Synthetic data is gaining increasing relevance for training machine learning models. This is mainly motivated due to several factors such as the lack of real data and intra-class v…
SDFR: Synthetic Data for Face Recognition Competition
Hatef Otroshi Shahreza, Christophe Ecabert, Anjith George +25
Large-scale face recognition datasets are collected by crawling the Internet and without individuals' consent, raising legal, ethical, and privacy concerns. With the recent advance…
Model Pairing Using Embedding Translation for Backdoor Attack Detection on Open-Set Classification Tasks
Alexander Unnervik, Hatef Otroshi Shahreza, Anjith George +1
Backdoor attacks allow an attacker to embed a specific vulnerability in a machine learning algorithm, activated when an attacker-chosen pattern is presented, causing a specific mis…
FRCSyn Challenge at WACV 2024:Face Recognition Challenge in the Era of Synthetic Data
Pietro Melzi, Ruben Tolosana, Ruben Vera-Rodriguez +44
Despite the widespread adoption of face recognition technology around the world, and its remarkable performance on current benchmarks, there are still several challenges that must…