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Sira Ferradans

6 papers hereh-index 13811 citations35 works total

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

author position
  • middle author5
  • last author1

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.CL2
  • eess.IV1

identity via Semantic Scholar / OpenAlex

activity
20172026
most citedTable-Of-Contents generation on contemporary documents

2 citations · 3 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2024★ 1 cited

Deep Portrait Quality Assessment. A NTIRE 2024 Challenge Survey

Nicolas Chahine, Marcos V. Conde, Daniela Carfora +4

This paper reviews the NTIRE 2024 Portrait Quality Assessment Challenge, highlighting the proposed solutions and results. This challenge aims to obtain an efficient deep neural net…

cs.CV2024

Pairwise Comparisons Are All You Need

Nicolas Chahine, Sira Ferradans, Jean Ponce

Blind image quality assessment (BIQA) approaches, while promising for automating image quality evaluation, often fall short in real-world scenarios due to their reliance on a gener…

cs.CV2023

An Image Quality Assessment Dataset for Portraits

Nicolas Chahine, Ana-Stefania Calarasanu, Davide Garcia-Civiero +3

Year after year, the demand for ever-better smartphone photos continues to grow, in particular in the domain of portrait photography. Manufacturers thus use perceptual quality crit…

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