8 citations · 16 across the 9 of their papers we have counts for
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cs.CV2022★ 8 cited
Mixture Domain Adaptation to Improve Semantic Segmentation in Real-World Surveillance
Sébastien Piérard, Anthony Cioppa, Anaïs Halin +5
Various tasks encountered in real-world surveillance can be addressed by determining posteriors (e.g. by Bayesian inference or machine learning), based on which critical decisions…
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…