most citedContext-Aware Saliency Detection for Image Retargeting Using Convolutional Neural Networks

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

collaborators

6 papers

cs.CV2019

Image Seam-Carving by Controlling Positional Distribution of Seams

Mahdi Ahmadi, Nader Karimi, Shadrokh Samavi

Image retargeting is a new image processing task that renders the change of aspect ratio in images. One of the most famous image-retargeting algorithms is seam-carving. Although se…

cs.CV20193 cited

Context-Aware Saliency Detection for Image Retargeting Using Convolutional Neural Networks

Mahdi Ahmadi, Nader Karimi, Shadrokh Samavi

Image retargeting is the task of making images capable of being displayed on screens with different sizes. This work should be done so that high-level visual information and low-le…

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…

cs.CV2018

Artistic Instance-Aware Image Filtering by Convolutional Neural Networks

Milad Tehrani, Mahnoosh Bagheri, Mahdi Ahmadi +3

In the recent years, public use of artistic effects for editing and beautifying images has encouraged researchers to look for new approaches to this task. Most of the existing meth…

cs.CV2018

Lossless Compression of Angiogram Foreground with Visual Quality Preservation of Background

Mahdi Ahmadi, Ali Emami, Mohsen Hajabdollahi +4

By increasing the volume of telemedicine information, the need for medical image compression has become more important. In angiographic images, a small ratio of the entire image us…

cs.CV2018

Context aware saliency map generation using semantic segmentation

Mahdi Ahmadi, Mohsen Hajabdollahi, Nader Karimi +1

Saliency map detection, as a method for detecting important regions of an image, is used in many applications such as image classification and recognition. We propose that context…