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20192023
most citedComputer Vision For COVID-19 Control: A Survey

129 citations · 259 across the 23 of their papers we have counts for

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7 papers · 1 filter

eess.IV2023

Full-resolution Lung Nodule Segmentation from Chest X-ray Images using Residual Encoder-Decoder Networks

Michael James Horry, Subrata Chakraborty, Biswajeet Pradhan +6

Lung cancer is the leading cause of cancer death and early diagnosis is associated with a positive prognosis. Chest X-ray (CXR) provides an inexpensive imaging mode for lung cancer…

eess.IV2022

Dilated convolutional neural network-based deep reference picture generation for video compression

Haoyue Tian, Pan Gao, Ran Wei +1

Motion estimation and motion compensation are indispensable parts of inter prediction in video coding. Since the motion vector of objects is mostly in fractional pixel units, origi…

eess.IV2021★ 8 cited

Human-Machine Collaborative Video Coding Through Cuboidal Partitioning

Ashek Ahmmed, Manoranjan Paul, Manzur Murshed +1

Video coding algorithms encode and decode an entire video frame while feature coding techniques only preserve and communicate the most critical information needed for a given appli…

eess.IV2020

MAVIDH Score: A COVID-19 Severity Scoring using Chest X-Ray Pathology Features

Douglas P. S. Gomes, Michael J. Horry, Anwaar Ulhaq +5

The application of computer vision for COVID-19 diagnosis is complex and challenging, given the risks associated with patient misclassifications. Arguably, the primary value of med…

eess.IV2020★ 2 cited

Potential Features of ICU Admission in X-ray Images of COVID-19 Patients

Douglas P. S. Gomes, Anwaar Ulhaq, Manoranjan Paul +5

X-ray images may present non-trivial features with predictive information of patients that develop severe symptoms of COVID-19. If true, this hypothesis may have practical value in…

eess.IV2020

Rain Streak Removal in a Video to Improve Visibility by TAWL Algorithm

Muhammad Rafiqul Islam, Manoranjan Paul

In computer vision applications, the visibility of the video content is crucial to perform analysis for better accuracy. The visibility can be affected by several atmospheric inter…

eess.IV2020★ 129 cited

Computer Vision For COVID-19 Control: A Survey

Anwaar Ulhaq, Asim Khan, Douglas Gomes +1

The COVID-19 pandemic has triggered an urgent need to contribute to the fight against an immense threat to the human population. Computer Vision, as a subfield of Artificial Intell…