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Sidonie Lefèbvre

2 papers here

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

author position
  • middle author1
  • last author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • eess.IV1
ORCID 0000-0002-8332-972X

identity via Semantic Scholar / OpenAlex

most citedA statistically constrained internal method for single image super-resolution

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

collaborators

2 papers

cs.CV2024

A Contrario Paradigm for YOLO-based Infrared Small Target Detection

Alina Ciocarlan, Sylvie Le Hégarat-Mascle, Sidonie Lefebvre +2

Detecting small to tiny targets in infrared images is a challenging task in computer vision, especially when it comes to differentiating these targets from noisy or textured backgr…

eess.IV2023★ 2 cited

A statistically constrained internal method for single image super-resolution

Pierrick Chatillon, Yann Gousseau, Sidonie Lefebvre

Deep learning based methods for single-image super-resolution (SR) have drawn a lot of attention lately. In particular, various papers have shown that the learning stage can be per…

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