activity
20192021
most citedLossless Compression of Mosaic Images with Convolutional Neural Network Prediction

3 citations · 4 across the 3 of their papers we have counts for

collaborators

5 papers

eess.IV2021

NTIRE 2021 Challenge on Perceptual Image Quality Assessment

Jinjin Gu, Haoming Cai, Chao Dong +47

This paper reports on the NTIRE 2021 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (…

cs.CV2021

(ASNA) An Attention-based Siamese-Difference Neural Network with Surrogate Ranking Loss function for Perceptual Image Quality Assessment

Seyed Mehdi Ayyoubzadeh, Ali Royat

Recently, deep convolutional neural networks (DCNN) that leverage the adversarial training framework for image restoration and enhancement have significantly improved the processed…

eess.IV2020★ 3 cited

Lossless Compression of Mosaic Images with Convolutional Neural Network Prediction

Seyed Mehdi Ayyoubzadeh, Xiaolin Wu

We present a CNN-based predictive lossless compression scheme for raw color mosaic images of digital cameras. This specialized application problem was previously understudied but i…

cs.CV2020★ 1 cited

Adaptive Loss Function for Super Resolution Neural Networks Using Convex Optimization Techniques

Seyed Mehdi Ayyoubzadeh, Xiaolin Wu

Single Image Super-Resolution (SISR) task refers to learn a mapping from low-resolution images to the corresponding high-resolution ones. This task is known to be extremely difficu…

cs.LG2019

Filter Bank Regularization of Convolutional Neural Networks

Seyed Mehdi Ayyoubzadeh, Xiaolin Wu

Regularization techniques are widely used to improve the generality, robustness, and efficiency of deep convolutional neural networks (DCNNs). In this paper, we propose a novel app…