509 citations · 528 across the 6 of their papers we have counts for
6 papers
LSHR-Net: a hardware-friendly solution for high-resolution computational imaging using a mixed-weights neural network
Fangliang Bai, Jinchao Liu, Xiaojuan Liu +3
Recent work showed neural-network-based approaches to reconstructing images from compressively sensed measurements offer significant improvements in accuracy and signal compression…
Learning to Support: Exploiting Structure Information in Support Sets for One-Shot Learning
Jinchao Liu, Stuart J. Gibson, Margarita Osadchy
Deep Learning shows very good performance when trained on large labeled data sets. The problem of training a deep net on a few or one sample per class requires a different learning…
Dynamic Spectrum Matching with One-shot Learning
Jinchao Liu, Stuart J. Gibson, James Mills +1
Convolutional neural networks (CNN) have been shown to provide a good solution for classification problems that utilize data obtained from vibrational spectroscopy. Moreover, CNNs…
Cystoid macular edema segmentation of Optical Coherence Tomography images using fully convolutional neural networks and fully connected CRFs
Fangliang Bai, Manuel J. Marques, Stuart J. Gibson
In this paper we present a new method for cystoid macular edema (CME) segmentation in retinal Optical Coherence Tomography (OCT) images, using a fully convolutional neural network…
Deep Convolutional Neural Networks for Raman Spectrum Recognition: A Unified Solution
Jinchao Liu, Margarita Osadchy, Lorna Ashton +3
Machine learning methods have found many applications in Raman spectroscopy, especially for the identification of chemical species. However, almost all of these methods require non…
HoneyFaces: Increasing the Security and Privacy of Authentication Using Synthetic Facial Images
Mor Ohana, Orr Dunkelman, Stuart Gibson +1
One of the main challenges faced by Biometric-based authentication systems is the need to offer secure authentication while maintaining the privacy of the biometric data. Previous…