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Deep Heterogeneous Face Recognition Networks Based on Cross-Modal Distillation and an Equitable Distance Metric.

, , and . CVPR Workshops, page 226-232. IEEE Computer Society, (2017)

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An analysis of the robustness of deep face recognition networks to noisy training labels., , and . GlobalSIP, page 1192-1196. IEEE, (2016)Seeing the Forest from the Trees: A Holistic Approach to Near-Infrared Heterogeneous Face Recognition., , , and . CVPR Workshops, page 320-328. IEEE Computer Society, (2016)Coupled Auto-Associative Neural Networks for Heterogeneous Face Recognition., , and . IEEE Access, (2015)MWIR-to-Visible and LWIR-to-Visible Face Recognition Using Partial Least Squares and Dictionary Learning., , , , and . Face Recognition Across the Imaging Spectrum, Springer, (2016)Coupled dictionaries for thermal to visible face recognition., , and . ICIP, page 328-332. IEEE, (2014)Can You Spot the Semantic Predicate in this Video?, , , and . EventStory@Coling, page 55-60. Association for Computational Linguistics, (2018)Object and Text-guided Semantics for CNN-based Activity Recognition., , , , and . ICASSP, page 1458-1462. IEEE, (2019)Multimodal Approaches to Computer Vision Problems.. University of Maryland, College Park, MD, USA, (2017)base-search.net (ftunivmaryland:oai:drum.lib.umd.edu:1903/20408).Multivariate Uncertainty in Deep Learning., and . CoRR, (2019)Learning and Understanding a Disentangled Feature Representation for Hidden Parameters in Reinforcement Learning., and . CoRR, (2022)