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EFaR 2023: Efficient Face Recognition Competition, Anjith George, Christophe Ecabert, Hatef Otroshi Shahreza, Ketan Kotwal and Sébastien Marcel, in: IEEE International Joint Conference on Biometrics (IJCB 2023), 2023
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Digi2Real: Bridging the Realism Gap in Synthetic Data Face Recognition via Foundation Models, Anjith George and Sébastien Marcel, in: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), 2025
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xEdgeFace: Efficient Cross-Spectral Face Recognition for Edge Devices, Anjith George and Sébastien Marcel, 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, Anjith George and Sébastien Marcel, in: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2025
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Heterogeneous Face Recognition Using Domain Invariant Units, Anjith George and Sébastien Marcel, 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, Anjith George and Sébastien Marcel, in: IEEE Transactions on Biometrics, Behavior, and Identity Science, 2024
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Heterogeneous Face Recognition with Prepended Domain Transformers, Anjith George and Sébastien Marcel, in: Face Recognition Across the Imaging Spectrum, Springer, 2024
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The Unconstrained Ear Recognition Challenge 2023: Maximizing Performance and Minimizing Bias, Anjith George and Sébastien Marcel, in: IEEE International Joint Conference on Biometrics (IJCB 2023), 2023
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Cross Modal Focal Loss for RGBD Face Anti-Spoofing, Anjith George and Sébastien Marcel, 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, Anjith George and Sébastien Marcel, in: International Joint Conference on Biometrics (IJCB 2021), 2021
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Multi-channel Face Presentation Attack Detection Using Deep Learning, Anjith George and Sébastien Marcel, in: Deep Learning-Based Face Analytics, Springer International Publishing, 2021
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An agonist-antagonist pitch production model, Branislav Gerazov and Philip N. Garner, in: Lecture Notes in Artificial Intelligence: 18th International Conference, SPECOM 2016, Budapest, Hungary, pages 84--91, 2016
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An Investigation of Muscle Models for Physiologically Based Intonation Modelling, Branislav Gerazov and Philip N. Garner, in: Proceedings of the 23rd Telecommunications Forum, pages 468--471, 2015
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[DOI]
Exploiting Accelerometers to Improve Movement Classification for Prosthetics, Arjan Gijsberts and Barbara Caputo, in: International Conference on Rehabilitation Robotics, 2013
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Object Recognition using Visuo-Affordance Maps, Arjan Gijsberts, Tatiana Tommasi, Giorgio Metta and Barbara Caputo, in: International Conference on Intelligent Robots and Systems, Taipei, pages 1572-1578, IEEE, 2010
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[DOI]
Local Machine Learning Models for Spatial Data Analysis, Nicolas Gilardi and Samy Bengio, in: Journal of Geographic Information and Decision Analysis, 4(01), 2000
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Conditional Gaussian Mixture Models for Environmental Risk Mapping, Nicolas Gilardi, Samy Bengio and Mikhail Kanevski, in: IEEE International Workshop on Neural Networks for Signal Processing (NNSP), 2002
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