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 recency
| 1 | 2 |
| Prepended Domain Transformer: Heterogeneous Face Recognition without Bells and Whistles, , and , in: IEEE Transactions on Information Forensics and Security, 2022 |
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| A Comprehensive Evaluation on Multi-channel Biometric Face Presentation Attack Detection, , and , Idiap-RR-02-2022 |
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| Robust Face Presentation Attack Detection with Multi-channel Neural Networks, and , Idiap-RR-03-2022 |
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| Multi-channel Face Presentation Attack Detection Using Deep Learning, and , in: Deep Learning-Based Face Analytics, Springer International Publishing, 2021 |
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| Face Liveness Detection Competition (LivDet-Face) - 2021, , , , , , , , , and , in: International Joint Conference on Biometrics, 2021 |
| On the Effectiveness of Vision Transformers for Zero-shot Face Anti-Spoofing, and , in: International Joint Conference on Biometrics (IJCB 2021), 2021 |
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| Cross Modal Focal Loss for RGBD Face Anti-Spoofing, and , in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 |
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| On the Effectiveness of Vision Transformers for Zero-shot Face Anti-Spoofing, and , Idiap-RR-30-2020 |
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| The High-Quality Wide Multi-Channel Attack (HQ-WMCA) database, , , , and , Idiap-RR-22-2020 |
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| Learning One Class Representations for Face Presentation Attack Detection using Multi-channel Convolutional Neural Networks, and , in: IEEE Transactions on Information Forensics and Security, 2020 |
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| Deep Models and Shortwave Infrared Information to Detect Face Presentation Attacks, , , , and , in: IEEE Transactions on Biometrics, Behavior, and Identity Science, 2020 |
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| Can Your Face Detector Do Anti-spoofing? Face Presentation Attack Detection with a Multi-Channel Face Detector, and , Idiap-RR-12-2020 |
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| Learning One Class Representations for Presentation Attack Detection using Multi-channel Convolutional Neural Networks, and , Idiap-RR-15-2020 |
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| Domain Adaptation in Multi-Channel Autoencoder based Features for Robust Face Anti-Spoofing, , and , in: International Conference on Biometrics 2019, IEEE, 2019 |
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| Biometric Face Presentation Attack Detection with Multi-Channel Convolutional Neural Network, , , , , and , in: IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2019 |
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| Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection, and , in: International Conference on Biometrics, 2019 |
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| 1 | 2 |