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05/13/2023
DNN-Compressed Domain Visual Recognition with Feature Adaptation
Learning-based image compression was shown to achieve a competitive perf...
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04/16/2021
Learning-based Compression for Material and Texture Recognition
Learning-based image compression was shown to achieve a competitive perf...
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11/24/2020
Towards Imperceptible Universal Attacks on Texture Recognition
Although deep neural networks (DNNs) have been shown to be susceptible t...
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10/04/2020
A Study for Universal Adversarial Attacks on Texture Recognition
Given the outstanding progress that convolutional neural networks (CNNs)...
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03/11/2020
Frequency-Tuned Universal Adversarial Attacks
Researchers have shown that the predictions of a convolutional neural ne...
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12/03/2019
It GAN DO Better: GAN-based Detection of Objects on Images with Varying Quality
In this paper, we propose in our novel generative framework the use of G...
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08/01/2017
A Locally Weighted Fixation Density-Based Metric for Assessing the Quality of Visual Saliency Predictions
With the increased focus on visual attention (VA) in the last decade, a ...
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03/22/2017
Spatially-Varying Blur Detection Based on Multiscale Fused and Sorted Transform Coefficients of Gradient Magnitudes
The detection of spatially-varying blur without having any information a...
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04/13/2016
The Effect of Distortions on the Prediction of Visual Attention
Existing saliency models have been designed and evaluated for predicting...
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07/22/2013