{"total":18,"rows":[{"id":"2505.24247","title":"50 Years of Automated Face Recognition","created":"2025-05-30","cited_by_count":15,"area":null},{"id":"2412.01383","title":"Second FRCSyn-onGoing: Winning Solutions and Post-Challenge Analysis to Improve Face Recognition with Synthetic Data","created":"2024-12-02","cited_by_count":13,"area":null},{"id":"2412.06235","title":"VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition","created":"2024-12-09","cited_by_count":8,"area":null},{"id":"2502.02309","title":"Review of Demographic Fairness in Face Recognition","created":"2025-02-04","cited_by_count":7,"area":null},{"id":"2409.16089","title":"From Pixels to Words: Leveraging Explainability in Face Recognition through Interactive Natural Language Processing","created":"2024-09-24","cited_by_count":5,"area":null},{"id":"2504.18886","title":"Exploiting Multiple Representations: 3D Face Biometrics Fusion with Application to Surveillance","created":"2025-04-26","cited_by_count":4,"area":null},{"id":"2409.02867","title":"The Impact of Balancing Real and Synthetic Data on Accuracy and Fairness in Face Recognition","created":"2024-09-04","cited_by_count":3,"area":null},{"id":"2409.10481","title":"Exploring 3D Face Reconstruction and Fusion Methods for Face Verification: A Case-Study in Video Surveillance","created":"2024-09-16","cited_by_count":3,"area":null},{"id":"2502.19803","title":"UIFace: Unleashing Inherent Model Capabilities to Enhance Intra-Class Diversity in Synthetic Face Recognition","created":"2025-02-27","cited_by_count":3,"area":null},{"id":"2404.15234","title":"Massively Annotated Datasets for Assessment of Synthetic and Real Data in Face Recognition","created":"2024-04-23","cited_by_count":2,"area":null},{"id":"2412.03349","title":"Fairer Analysis and Demographically Balanced Face Generation for Fairer Face Verification","created":"2024-12-04","cited_by_count":2,"area":null},{"id":"2507.18348","title":"VB-Mitigator: An Open-source Framework for Evaluating and Advancing Visual Bias Mitigation","created":"2025-07-24","cited_by_count":2,"area":null},{"id":"2507.20782","title":"Investigation of Accuracy and Bias in Face Recognition Trained with Synthetic Data","created":"2025-07-28","cited_by_count":2,"area":null},{"id":"2510.06973","title":"Addressing the ID-Matching Challenge in Long Video Captioning","created":"2025-10-08","cited_by_count":2,"area":null},{"id":"2507.17192","title":"Vec2Face+ for Face Dataset Generation","created":"2025-07-23","cited_by_count":1,"area":null},{"id":"2506.01532","title":"Balancing Beyond Discrete Categories: Continuous Demographic Labels for Fair Face Recognition","created":"2025-06-02","cited_by_count":0,"area":null},{"id":"2507.16790","title":"Enhancing Domain Diversity in Synthetic Data Face Recognition with Dataset Fusion","created":"2025-07-22","cited_by_count":0,"area":null},{"id":"2512.05928","title":"A Comparative Study on Synthetic Facial Data Generation Techniques for Face Recognition","created":"2025-12-05","cited_by_count":0,"area":null}],"next_cursor":null}