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GenFace: Improving Cyber Security Using Realistic Synthetic Face Generation.

, , , , , and . CSCML, volume 10332 of Lecture Notes in Computer Science, page 19-33. Springer, (2017)

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Model-based deconvolution of the human face., , and . SIP, page 548-553. IASTED/ACTA Press, (2005)EFIT-V -: interactive evolutionary strategy for the construction of photo-realistic facial composites., , , and . GECCO, page 1485-1490. ACM, (2008)Cystoid macular edema segmentation of Optical Coherence Tomography images using fully convolutional neural networks and fully connected CRFs., , and . CoRR, (2017)Synthesis of Photographic Quality Facial Composites using Evolutionary Algorithms., , and . BMVC, page 1-10. BMVA Press, (2003)No Bot Expects the DeepCAPTCHA! Introducing Immutable Adversarial Examples, With Applications to CAPTCHA Generation., , , , and . IEEE Trans. Inf. Forensics Secur., 12 (11): 2640-2653 (2017)New methodology in facial composite construction: from theory to practice., , , and . Int. J. Electron. Secur. Digit. Forensics, 2 (2): 156-168 (2009)A New Computational Methodology for the Construction of Forensic, Facial Composites., , and . IWCF, volume 5718 of Lecture Notes in Computer Science, page 67-77. Springer, (2009)Deep Convolutional Neural Networks for Raman Spectrum Recognition: A Unified Solution., , , , , and . CoRR, (2017)LSHR-Net: a hardware-friendly solution for high-resolution computational imaging using a mixed-weights neural network., , , , , and . CoRR, (2020)A Comparison of Individual and Morphed Facial Composites Created Using Different Systems., , , and . EST, page 56-60. IEEE Computer Society, (2010)