Deep Learning-Based Face Analytics (Paperback)

1. Deep CNN Face Recognition: Looking at the Past and the Future.- 2. Face Segmentation, Face Swapping, and Their Effect on Face Recognition.- 3. Disentangled Representation Learning and its Application to Face Analytics.- 4. Learning 3D Face Morphable Model from In-the-wild Images.- 5. Deblurring Face Images using Deep Networks.- 6. Blind-Superresolution of Faces for Surveillance.- 7. Hashing a Face.- 8. Evolution of Newborn Face Recognition.- 9. Fusion in Face recognition.- 10. Deep Learning for Video Face Recognition.- 11. Thermal-to-Visible Face Synthesis and Recognition.- 12. Obstructing DeepFakes by Disrupting Face Detection and Facial Landmarks Extraction.- 13. Multi-channel Face Presentation Attack Detection Using Deep Learning.- 14. Scalable Person Re-identication: Beyond Supervised Approaches.