activity
20172022
most citedAcceleration of Convolutional Neural Network Using FFT-Based Split Convolutions

25 citations · 62 across the 31 of their papers we have counts for

collaborators
Showing cs.MMShow all

7 papers · 1 filter

cs.MM20212 cited

Robust Watermarking using Diffusion of Logo into Autoencoder Feature Maps

Maedeh Jamali, Nader Karim, Pejman Khadivi +2

Digital contents have grown dramatically in recent years, leading to increased attention to copyright. Image watermarking has been considered one of the most popular methods for co…

cs.MM2020

Hardware Implementation of Adaptive Watermarking Based on Local Spatial Disorder Analysis

Mohsen Hajabdolahi, Nader Karimi, Shahram Shirani +1

With the increasing use of the internet and the ease of exchange of multimedia content, the protection of ownership rights has become a significant concern. Watermarking is an effi…

cs.MM20203 cited

Adaptive Control of Embedding Strength in Image Watermarking using Neural Networks

Mahnoosh Bagheri, Majid Mohrekesh, Nader Karimi +1

Digital image watermarking has been widely used in different applications such as copyright protection of digital media, such as audio, image, and video files. Two opposing criteri…

cs.MM2019

Robustness and Imperceptibility Enhancement in Watermarked Images by Color Transformation

Maedeh Jamali, Mahnoosh Bagheri, Nader Karimi +1

One of the effective methods for the preservation of copyright ownership of digital media is watermarking. Different watermarking techniques try to set a tradeoff between robustnes…

cs.MM2019

BlessMark: A Blind Diagnostically-Lossless Watermarking Framework for Medical Applications Based on Deep Neural Networks

Hamidreza Zarrabi, Ali Emami, Pejman Khadivi +2

Nowadays, with the development of public network usage, medical information is transmitted throughout the hospitals. The watermarking system can help for the confidentiality of med…

cs.MM2018

ReDMark: Framework for Residual Diffusion Watermarking on Deep Networks

Mahdi Ahmadi, Alireza Norouzi, S. M. Reza Soroushmehr +4

Due to the rapid growth of machine learning tools and specifically deep networks in various computer vision and image processing areas, application of Convolutional Neural Networks…