Keywords:
- Anti-spoofing
- Backdoor attack
- Benchmark
- Biometrics
- Convolutional neural network
- Demographic bias
- detection
- embedding translation
- Face Recognition
- Frcsyn-Ongoing
- Generative Ai
- model pairing
- Mult-channel sensors.
- open-set classifica- tion
- open-set classification
- pairing
- Presentation Attack Detection
- Reproducible research
- Trojan
- trojan attack
- Unseen Attack Detection.
Publications of Anjith George sorted by title
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Robust Face Presentation Attack Detection with Multi-channel Neural Networks, and , in: Handbook of Biometric Anti-Spoofing, Springer, 2023 |
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SDFR: Synthetic Data for Face Recognition Competition, , , , and , in: 2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG), IEEE, 2024 |
[DOI] [URL] |
SDFR: Synthetic Data for Face Recognition Competition, , , , and , in: IEEE FG 2024 : 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024 |
Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data, , , , and , in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pages 3173-3183, 2024 |
[URL] |
SynthDistill: Face Recognition with Knowledge Distillation from Synthetic Data, , and , in: IEEE International Joint Conference on Biometrics (IJCB 2023), 2023 |
[DOI] |
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The High-Quality Wide Multi-Channel Attack (HQ-WMCA) database, , , , and , Idiap-RR-22-2020 |
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The Unconstrained Ear Recognition Challenge 2023: Maximizing Performance and Minimizing Bias, and , in: IEEE International Joint Conference on Biometrics (IJCB 2023), 2023 |
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Vulnerability of Face Age Verification to Replay Attacks, , , and , in: IEEE International Conference on Acoustics, Speech, and Signal Processing, 2024 |
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| 1 | 2 |