Andrea Atzori profile photo

Andrea Atzori

Postdoctoral Researcher - Fraunhofer IGD
Face RecognitionBiometricsFairnessDeep LearningComputer Vision

Andrea Atzori is a Postdoctoral Researcher at the Smart Living & Biometric Technologies department in Fraunhofer IGD. His research interests focus on machine learning for computer vision, with particular focus on fairness and responsible use of facial biometric systems (more details can be found here).

He has co-authored papers in top-tier international journals, such as Information Fusion (Elsevier) and IEEE Journal of Selected Topics in Signal Processing. He has given talks, poster presentations, and demonstrations at several conferences and workshops, such as IJCB 2022, IJCB 2023, FG 2024, ECCVW 2024, and ICCVW 2025.

He has been involved in the program committee of major computer vision and biometrics-related conferences, such as ECCVW, WACV, IJCB, FG, BIOSIG, IWBF. He has also served as a reviewer for Q1-level journals, including EURASIP Journal on Image and Video Processing, Multimedia Tools and Applications, Journal of Ambient Intelligence and Humanized Computing, IEEE Transactions on Pattern Analysis and Machine Intelligence, and Pattern Recognition.

He has been part of the local organizing committee of UMAP 2024. He has been co-chairing the ReFIP workshop on responsible face image processing at FG 2024.

He is a member of several associations, including CVPL, AIxIA, GRIN, IEEE, IEEE Biometrics Council, and IEEE Young Professionals.

Publications

Listed from most recent to least recent. Click a title to open the Google Scholar entry.
  1. Second FRCSyn-onGoing: Winning solutions and post-challenge analysis to improve face recognition with synthetic data
    Information Fusion 120, 103099, 2025 · 2025
  2. ViT-FIQA: Assessing Face Image Quality using Vision Transformers
    Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2025 · 2025
  3. Frcsyn challenge at wacv 2024: Face recognition challenge in the era of synthetic data
    Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 · 2024
  4. FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems
    Information Fusion 107, 102322, 2024 · 2024
  5. If It's Not Enough, Make It So: Reducing Authentic Data Demand in Face Recognition through Synthetic Faces
    2024 IEEE 18th International Conference on Automatic Face and Gesture …, 2024 · 2024
  6. Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 · 2024
  7. The impact of balancing real and synthetic data on accuracy and fairness in face recognition
    2024 European Conference on Computer Vision Workshops (ECCVW), 2024 · 2024
  8. (Un) fair Exposure in Deep Face Rankings at a Distance
    2023 IEEE International Joint Conference on Biometrics (IJCB), 1-9, 2023 · 2023
  9. Demographic bias in low-resolution deep face recognition in the wild
    IEEE Journal of Selected Topics in Signal Processing 17 (3), 599-611, 2023 · 2023
  10. Fairness of Exposure in Forensic Face Rankings
    Proceedings of the 13th Italian Information Retrieval Workshop (IIR 2023) 3448, 2023 · 2023
  11. Explaining bias in deep face recognition via image characteristics
    2022 IEEE International Joint Conference on Biometrics (IJCB), 1-10, 2022 · 2022
  12. The More Secure, The Less Equally Usable: Gender and Ethnicity (Un) fairness of Deep Face Recognition along Security Thresholds
    The 13th International Conference on Emerging Ubiquitous Systems and …, 2022 · 2022
  13. Heimdall: an AI-based infrastructure for traffic monitoring and anomalies detection
    2021 IEEE International Conference on Pervasive Computing and Communications …, 2021 · 2021
  14. and Science) Ana P. Rocha (University of Aveiro, Intelligent Systems Associate Laboratory) Anand Kumar M (National Institute of Technology Karnataka) Ananth Ganesh (Hitachi India)