This page contains the encoder-decoder model definition for learning the face completion task, aka face inpainting, following the method mentioned in “Does Generative Face Completion help Face Recognition? “, in Proc. of IAPR International Conference on Biometrics (ICB) 2019.
This repository provides access to preprocessed datasets used in paper A. Jaiswal, Y. Wu, W. AbdAlmageed, I. Masi, and P. Natarajan, “AIRD: Adversarial Learning Framework for Image Repurposing Detection” (Proceedings of CVPR, 2019).
This repository analyzes the PADISI-Finger dataset introduced in Multi-Modal Fingerprint Presentation Attack Detection: Evaluation On A New Dataset and the PADISI-Face dataset introduced in Detection and Continual Learning of Novel Face Presentation Attacks.