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5 papers · 2 filters
Use of Neural Signals to Evaluate the Quality of Generative Adversarial Network Performance in Facial Image Generation
Zhengwei Wang, Graham Healy, Alan F. Smeaton +1
There is a growing interest in using generative adversarial networks (GANs) to produce image content that is indistinguishable from real images as judged by a typical person. A num…
Improving Automated Latent Fingerprint Identification using Extended Minutia Types
Ram P. Krish, Julian Fierrez, Daniel Ramos +2
Latent fingerprints are usually processed with Automated Fingerprint Identification Systems (AFIS) by law enforcement agencies to narrow down possible suspects from a criminal data…
Temporal Saliency Adaptation in Egocentric Videos
Panagiotis Linardos, Eva Mohedano, Monica Cherto +2
This work adapts a deep neural model for image saliency prediction to the temporal domain of egocentric video. We compute the saliency map for each video frame, firstly with an off…
PathGAN: Visual Scanpath Prediction with Generative Adversarial Networks
Marc Assens, Xavier Giro-i-Nieto, Kevin McGuinness +1
We introduce PathGAN, a deep neural network for visual scanpath prediction trained on adversarial examples. A visual scanpath is defined as the sequence of fixation points over an…
ASMCNN: An Efficient Brain Extraction Using Active Shape Model and Convolutional Neural Networks
Duy H. M. Nguyen, Duy M. Nguyen, Mai T. N. Truong +5
Brain extraction (skull stripping) is a challenging problem in neuroimaging. It is due to the variability in conditions from data acquisition or abnormalities in images, making bra…