research
∙
06/08/2019
Defending against Adversarial Attacks through Resilient Feature Regeneration
Deep neural network (DNN) predictions have been shown to be vulnerable t...
share
research
∙
04/21/2018
Synthesized Texture Quality Assessment via Multi-scale Spatial and Statistical Texture Attributes of Image and Gradient Magnitude Coefficients
Perceptual quality assessment for synthesized textures is a challenging ...
research
∙
03/12/2018
Full Reference Objective Quality Assessment for Reconstructed Background Images
With an increased interest in applications that require a clean backgrou...
research
∙
01/08/2018
Generative Sensing: Transforming Unreliable Sensor Data for Reliable Recognition
This paper introduces a deep learning enabled generative sensing framewo...
research
∙
10/12/2017
Can the early human visual system compete with Deep Neural Networks?
We study and compare the human visual system and state-of-the-art deep n...
research
∙
05/06/2017
A Study and Comparison of Human and Deep Learning Recognition Performance Under Visual Distortions
Deep neural networks (DNNs) achieve excellent performance on standard cl...
research
∙
05/05/2017
DeepCorrect: Correcting DNN models against Image Distortions
In recent years, the widespread use of deep neural networks (DNNs) has f...
research
∙
03/23/2017
Quality Resilient Deep Neural Networks
We study deep neural networks for classification of images with quality ...
research
∙
02/01/2017
Visual Saliency Prediction Using a Mixture of Deep Neural Networks
Visual saliency models have recently begun to incorporate deep learning ...
research
∙
04/14/2016