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Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling.

, , , and . Int. J. Comput. Vis., 127 (5): 437-455 (2019)

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Longitudinal Face Aging in the Wild - Recent Deep Learning Approaches., , , and . CoRR, (2018)Non-Volume Preserving-based Feature Fusion Approach to Group-Level Expression Recognition on Crowd Videos., , , , , and . CoRR, (2018)Multi-Camera Multiple 3D Object Tracking on the Move for Autonomous Vehicles., , , , , and . CVPR Workshops, page 2568-2577. IEEE, (2022)Automatic Face Aging in Videos via Deep Reinforcement Learning., , , , , , and . CVPR, page 10013-10022. Computer Vision Foundation / IEEE, (2019)Lp Norm Relaxation Approach for Large Scale Data Analysis: A Review., , , and . ICIAR, volume 10882 of Lecture Notes in Computer Science, page 285-292. Springer, (2018)Beyond Principal Components: Deep Boltzmann Machines for face modeling., , , and . CVPR, page 4786-4794. IEEE Computer Society, (2015)Temporal Non-volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition., , , , and . ICCV, page 3755-3763. IEEE Computer Society, (2017)MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices., , , , and . CoRR, (2018)Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling., , , and . Int. J. Comput. Vis., 127 (5): 437-455 (2019)Are Sparse Representation and Dictionary Learning Good for Handwritten Character Recognition?, , and . ICFHR, page 575-580. IEEE Computer Society, (2014)