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Learning by Environment Cluster s for Face Presentation Attack Detection.

, , , and . BIOSIG, volume P-315 of LNI, page 205-212. Gesellschaft für Informatik e.V., (2021)

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Improved Knowledge Distillation for Training Fast Low Resolution Face Recognition Model., , , , , and . ICCV Workshops, page 2655-2661. IEEE, (2019)Statistical acoustic-to-articulatory mapping unified with speaker normalization based on voice conversion., , , and . INTERSPEECH, page 588-592. ISCA, (2015)Sample-Level and Class-Level Adaptive Training for Face Recognition., , , , , and . ICME, page 1-6. IEEE, (2022)Learning by Environment Cluster s for Face Presentation Attack Detection., , , and . BIOSIG, volume P-315 of LNI, page 205-212. Gesellschaft für Informatik e.V., (2021)DeDiM: De-identification using a diffusion model., , and . BIOSIG, volume P-329 of LNI, page 72-79. IEEE / Gesellschaft für Informatik e.V., (2022)Parallel-Data-Free Many-to-Many Voice Conversion Based on DNN Integrated with Eigenspace Using a Non-Parallel Speech Corpus., , , and . INTERSPEECH, page 1278-1282. ISCA, (2017)A pairwise learning strategy for video-based face recognition., , , , , and . CVPR Workshops, Computer Vision Foundation / IEEE, (2019)Acoustic-to-Articulatory Mapping Based on Mixture of Probabilistic Canonical Correlation Analysis., , and . INTERSPEECH, page 989-993. ISCA, (2017)Privacy-Preserving Image Transformation Method for Person Detection and Re-ID., , and . APSIPA ASC, page 1798-1803. IEEE, (2023)Voice Conversion Based on Matrix Variate Gaussian Mixture Model Using Multiple Frame Features., , , and . INTERSPEECH, page 302-306. ISCA, (2016)