103 citations · 103 across the 1 of their papers we have counts for
3 papers
Face Recognition: From Traditional to Deep Learning Methods
Daniel Sáez Trigueros, Li Meng, Margaret Hartnett
Starting in the seventies, face recognition has become one of the most researched topics in computer vision and biometrics. Traditional methods based on hand-crafted features and t…
Generating Photo-Realistic Training Data to Improve Face Recognition Accuracy
Daniel Sáez Trigueros, Li Meng, Margaret Hartnett
In this paper we investigate the feasibility of using synthetic data to augment face datasets. In particular, we propose a novel generative adversarial network (GAN) that can disen…
Enhancing Convolutional Neural Networks for Face Recognition with Occlusion Maps and Batch Triplet Loss
Daniel Sáez Trigueros, Li Meng, Margaret Hartnett
Despite the recent success of convolutional neural networks for computer vision applications, unconstrained face recognition remains a challenge. In this work, we make two contribu…