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Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning.

, , , , , and . Int. J. Comput. Vis., 127 (6-7): 957-971 (2019)

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Automatic Classification of Left/Right Iris Image., and . Encyclopedia of Biometrics, Springer US, (2015)Can your eyebrows tell me who you are?, and . ICSPCS, page 1-8. IEEE, (2011)Fastfood dictionary learning for periocular-based full face hallucination., and . BTAS, page 1-8. IEEE, (2016)Iris Recognition, Overview., and . Encyclopedia of Biometrics, Springer US, (2009)An Automatic Iris Occlusion Estimation Method Based on High-Dimensional Density Estimation., and . IEEE Trans. Pattern Anal. Mach. Intell., 35 (4): 784-796 (2013)Sparse Feature Extractionfor Pose-Tolerant Face Recognition., , and . IEEE Trans. Pattern Anal. Mach. Intell., 36 (10): 2061-2073 (2014)Face Recognition Across Pose Using View Based Active Appearance Models (VBAAMs) on CMU Multi-PIE Dataset., and . ICVS, volume 5008 of Lecture Notes in Computer Science, page 527-535. Springer, (2008)RankGAN: A Maximum Margin Ranking GAN for Generating Faces., , , and . ACCV (3), volume 11363 of Lecture Notes in Computer Science, page 3-18. Springer, (2018)NCMS: Towards accurate anchor free object detection through ℓ2 norm calibration and multi-feature selection., , , , and . Comput. Vis. Image Underst., (2020)Vec2Face-v2: Unveil Human Faces from their Blackbox Features via Attention-based Network in Face Recognition., , , , and . CoRR, (2022)