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Sébastien Piérard

3 papers here

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

author position
  • first author2
  • middle author1

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

fields
  • cs.CV3

identity via Semantic Scholar / OpenAlex

most citedAn exploration of the performances achievable by combining unsupervised background subtraction algorithms

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

collaborators

3 papers

cs.CV2024★ 1 cited

The Tile: A 2D Map of Ranking Scores for Two-Class Classification

Sébastien Piérard, Anaïs Halin, Anthony Cioppa +2

In the computer vision and machine learning communities, as well as in many other research domains, rigorous evaluation of any new method, including classifiers, is essential. One…

cs.CV2024

A Hitchhiker's Guide to Understanding Performances of Two-Class Classifiers

Anaïs Halin, Sébastien Piérard, Anthony Cioppa +1

Properly understanding the performances of classifiers is essential in various scenarios. However, the literature often relies only on one or two standard scores to compare classif…

cs.CV2022★ 1 cited

An exploration of the performances achievable by combining unsupervised background subtraction algorithms

Sébastien Piérard, Marc Braham, Marc Van Droogenbroeck

Background subtraction (BGS) is a common choice for performing motion detection in video. Hundreds of BGS algorithms are released every year, but combining them to detect motion re…

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