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Periocular biometrics: An emerging technology for unconstrained scenarios.

, and . CIBIM, page 14-21. IEEE, (2013)

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REGINA - Reasoning Graph Convolutional Networks in Human Action Recognition., , and . CoRR, (2021)Is Gender "In-the-Wild" Inference Really a Solved Problem?, and . CoRR, (2021)Mobile Iris CHallenge Evaluation II: Results from the ICPR competition., , , , and . ICPR, page 149-154. IEEE, (2016)A Deep Adversarial Framework for Visually Explainable Periocular Recognition., and . CVPR Workshops, page 1453-1461. Computer Vision Foundation / IEEE, (2021)Unconstrained Periocular Recognition: Using Generative Deep Learning Frameworks for Attribute Normalization., , and . ICIP, page 1361-1365. IEEE, (2020)Towards Zero-Shot Interpretable Human Recognition: A 2D-3D Registration Framework., and . CoRR, (2024)Generative Adversarial Graph Convolutional Networks for Human Action Synthesis., , , , , and . WACV, page 2753-2762. IEEE, (2022)FaceGenderID: Exploiting Gender Information in DCNNs Face Recognition Systems., , , , , and . CVPR Workshops, page 2254-2260. Computer Vision Foundation / IEEE, (2019)Region-Based CNNs for Pedestrian Gender Recognition in Visual Surveillance Environments., , , , and . BIOSIG, volume P-296 of LNI, page 165-172. Gesellschaft für Informatik e.V., (2019)Biometric Recognition in Surveillance Environments Using Master-Slave Architectures., and . SIBGRAPI, page 479-486. IEEE Computer Society, (2018)