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Paria Yousefi

3 papers hereh-index 8152 citations23 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • eess.IV1

identity via Semantic Scholar / OpenAlex

most citedUsing Deep Learning-based Features Extracted from CT scans to Predict Outcomes in COVID-19 Patients

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

eess.IV2022★ 1 cited

Using Deep Learning-based Features Extracted from CT scans to Predict Outcomes in COVID-19 Patients

Sai Vidyaranya Nuthalapati, Marcela Vizcaychipi, Pallav Shah +6

The COVID-19 pandemic has had a considerable impact on day-to-day life. Tackling the disease by providing the necessary resources to the affected is of paramount importance. Howeve…

cs.CV2017

Bipartite Graph Matching for Keyframe Summary Evaluation

Iain A. D. Gunn, Ludmila I. Kuncheva, Paria Yousefi

A keyframe summary, or "static storyboard", is a collection of frames from a video designed to summarise its semantic content. Many algorithms have been proposed to extract such su…

cs.CV2017

On the Evaluation of Video Keyframe Summaries using User Ground Truth

Ludmila I. Kuncheva, Paria Yousefi, Iain A. D. Gunn

Given the great interest in creating keyframe summaries from video, it is surprising how little has been done to formalise their evaluation and comparison. User studies are often c…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.