activity
20182022
most citedImage inpainting: A review

336 citations · 558 across the 9 of their papers we have counts for

collaborators

9 papers

cs.LG2022★ 12 cited

Automated Systems For Diagnosis of Dysgraphia in Children: A Survey and Novel Framework

Jayakanth Kunhoth, Somaya Al-Maadeed, Suchithra Kunhoth +1

Learning disabilities, which primarily interfere with the basic learning skills such as reading, writing and math, are known to affect around 10% of children in the world. The poor…

cs.CV2022★ 114 cited

Backbones-Review: Feature Extraction Networks for Deep Learning and Deep Reinforcement Learning Approaches

Omar Elharrouss, Younes Akbari, Noor Almaadeed +1

To understand the real world using various types of data, Artificial Intelligence (AI) is the most used technique nowadays. While finding the pattern within the analyzed data repre…

cs.CV2021

Panoptic Segmentation: A Review

Omar Elharrouss, Somaya Al-Maadeed, Nandhini Subramanian +3

Image segmentation for video analysis plays an essential role in different research fields such as smart city, healthcare, computer vision and geoscience, and remote sensing applic…

cs.CV2021

VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results

Dawei Du, Longyin Wen, Pengfei Zhu +52

Crowd counting on the drone platform is an interesting topic in computer vision, which brings new challenges such as small object inference, background clutter and wide viewpoint.…

eess.IV2020★ 10 cited

An encoder-decoder-based method for COVID-19 lung infection segmentation

Omar Elharrouss, Nandhini Subramanian, Somaya Al-Maadeed

The novelty of the COVID-19 disease and the speed of spread has created a colossal chaos, impulse among researchers worldwide to exploit all the resources and capabilities to under…

cs.CV2019★ 336 cited

Image inpainting: A review

Omar Elharrouss, Noor Almaadeed, Somaya Al-Maadeed +1

Although image inpainting, or the art of repairing the old and deteriorated images, has been around for many years, it has gained even more popularity because of the recent develop…

cs.CV2019★ 2 cited

A Novel Approach for Robust Multi Human Action Recognition and Summarization based on 3D Convolutional Neural Networks

Noor Almaadeed, Omar Elharrouss, Somaya Al-Maadeed +2

Human actions in videos are 3D signals. However, there are a few methods available for multiple human action recognition. For long videos, it's difficult to search within a video f…

cs.CV2019★ 23 cited

Colorectal cancer diagnosis from histology images: A comparative study

Junaid Malik, Serkan Kiranyaz, Suchitra Kunhoth +4

Computer-aided diagnosis (CAD) based on histopathological imaging has progressed rapidly in recent years with the rise of machine learning based methodologies. Traditional approach…

cs.CV2018★ 61 cited

Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds

Haroon Idrees, Muhmmad Tayyab, Kishan Athrey +4

With multiple crowd gatherings of millions of people every year in events ranging from pilgrimages to protests, concerts to marathons, and festivals to funerals; visual crowd analy…