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
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2024
EdgeFace : Efficient Face Recognition Model for Edge Devices, , , , and , in: IEEE Transactions on Biometrics, Behavior, and Identity Science, 2024 |
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EdgeFace: Efficient Face Recognition Model for Edge Devices, , , , and , Idiap-RR-01-2024 |
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FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data, , , , , and , in: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops, pages 892-901, 2024 |
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FRCSyn-onGoing: Benchmarking and Comprehensive Evaluation of Real and Synthetic Data to Improve Face Recognition Systems, , , , and , in: Information Fusion, 107:102322, 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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Heterogeneous Face Recognition Using Domain Invariant Units, and , in: IEEE International Conference on Acoustics, Speech and Signal Processing, 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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SDFR: Synthetic Data for Face Recognition Competition, , , , and , in: 2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG), IEEE, 2024 |
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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 |
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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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2023
Attacking Face Recognition with T-shirts: Database, Vulnerability Assessment and Detection, and , Idiap-RR-08-2023 |
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Attacking Face Recognition with T-shirts: Database, Vulnerability Assessment and Detection, and , in: IEEE Access, 2023 |
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Bridging the Gap: Heterogeneous Face Recognition with Conditional Adaptive Instance Modulation, and , in: IJCB, 2023 |
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Bridging the Gap: Heterogeneous Face Recognition with Conditional Adaptive Instance Modulation, and , Idiap-RR-09-2023 |
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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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Robust Face Presentation Attack Detection with Multi-channel Neural Networks, and , in: Handbook of Biometric Anti-Spoofing, Springer, 2023 |
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SynthDistill: Face Recognition with Knowledge Distillation from Synthetic Data, , and , in: IEEE International Joint Conference on Biometrics (IJCB 2023), 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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2022
A Comprehensive Evaluation on Multi-channel Biometric Face Presentation Attack Detection, , and , Idiap-RR-02-2022 |
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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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Robust Face Presentation Attack Detection with Multi-channel Neural Networks, and , Idiap-RR-03-2022 |
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2021
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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Face Liveness Detection Competition (LivDet-Face) - 2021, , , , , , , , , and , in: International Joint Conference on Biometrics, 2021 |
Multi-channel Face Presentation Attack Detection Using Deep Learning, and , in: Deep Learning-Based Face Analytics, Springer International Publishing, 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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2020
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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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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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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Learning One Class Representations for Presentation Attack Detection using Multi-channel Convolutional Neural Networks, and , Idiap-RR-15-2020 |
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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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The High-Quality Wide Multi-Channel Attack (HQ-WMCA) database, , , , and , Idiap-RR-22-2020 |
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2019
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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