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 first author
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| EdgeFace: Efficient Face Recognition Model for Edge Devices, , , , and , Idiap-RR-01-2024 |
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| EdgeFace : Efficient Face Recognition Model for Edge Devices, , , , and , in: IEEE Transactions on Biometrics, Behavior, and Identity Science, 2024 |
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| EFaR 2023: Efficient Face Recognition Competition, , , , and , in: IEEE International Joint Conference on Biometrics (IJCB 2023), 2023 |
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| A Comprehensive Evaluation on Multi-channel Biometric Face Presentation Attack Detection, , and , Idiap-RR-02-2022 |
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| Digi2Real: Bridging the Realism Gap in Synthetic Data Face Recognition via Foundation Models, and , in: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), 2025 |
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| The Invisible Threat: Evaluating the Vulnerability of Cross-Spectral Face Recognition to Presentation Attacks, and , in: International Joint Conference on Biometrics (IJCB 2025), IEEE., 2025 |
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| xEdgeFace: Efficient Cross-Spectral Face Recognition for Edge Devices, and , in: International Joint Conference on Biometrics (IJCB 2025), IEEE., 2025 |
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| Enhancing Domain Diversity in Synthetic Data Face Recognition with Dataset Fusion, and , in: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2025 |
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| EdgeDoc: Hybrid CNN-Transformer Model for Accurate Forgery Detection and Localization in ID Documents, and , Idiap-RR-08-2025 |
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| EdgeDoc: Hybrid CNN-Transformer Model for Accurate Forgery Detection and Localization in ID Documents, and , in: ICCV, 2025 |
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| Heterogeneous Face Recognition Using Domain Invariant Units, and , in: IEEE International Conference on Acoustics, Speech and Signal Processing, 2024 |
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| From Modalities to Styles: Rethinking the Domain Gap in Heterogeneous Face Recognition, and , in: IEEE Transactions on Biometrics, Behavior, and Identity Science, 2024 |
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| Modality Agnostic Heterogeneous Face Recognition with Switch Style Modulators, and , in: IEEE International Joint Conference on Biometrics, 2024 |
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| Heterogeneous Face Recognition with Prepended Domain Transformers, and , in: Face Recognition Across the Imaging Spectrum, Springer, 2024 |
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| Bridging the Gap: Heterogeneous Face Recognition with Conditional Adaptive Instance Modulation, and , Idiap-RR-09-2023 |
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| Attacking Face Recognition with T-shirts: Database, Vulnerability Assessment and Detection, and , Idiap-RR-08-2023 |
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| Bridging the Gap: Heterogeneous Face Recognition with Conditional Adaptive Instance Modulation, and , in: IJCB, 2023 |
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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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| Attacking Face Recognition with T-shirts: Database, Vulnerability Assessment and Detection, and , in: IEEE Access, 2023 |
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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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| Robust Face Presentation Attack Detection with Multi-channel Neural Networks, and , Idiap-RR-03-2022 |
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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 , in: International Joint Conference on Biometrics (IJCB 2021), 2021 |
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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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| Learning One Class Representations for Presentation Attack Detection using Multi-channel Convolutional Neural Networks, and , Idiap-RR-15-2020 |
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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 Face Presentation Attack Detection using Multi-channel Convolutional Neural Networks, and , in: IEEE Transactions on Information Forensics and Security, 2020 |
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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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| Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection, and , in: International Conference on Biometrics, 2019 |
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| Prepended Domain Transformer: Heterogeneous Face Recognition without Bells and Whistles, , and , in: IEEE Transactions on Information Forensics and Security, 2022 |
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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 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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| Exploring ChatGPT for Face Presentation Attack Detection in Zero and Few-Shot in-Context Learning, , , and , in: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025 |
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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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