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20212026
most citedSurvey and synthesis of state of the art in driver monitoring

83 citations · 115 across the 13 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

Event Detection in Videos: A Framework for the Development of New Methods

Anastasia Zakharova, Thierry Bouwmans, Anthony Cioppa +13

Event detection tasks in videos, the most important aspect of video surveillance, aim to detect events either at the pixel-level, frame-level, or clip-level. Plenty of methods inte…

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★ 1 cited

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.CV2024★ 6 cited

Multi-Stream Cellular Test-Time Adaptation of Real-Time Models Evolving in Dynamic Environments

Benoît Gérin, Anaïs Halin, Anthony Cioppa +5

In the era of the Internet of Things (IoT), objects connect through a dynamic network, empowered by technologies like 5G, enabling real-time data sharing. However, smart objects, n…

cs.CV2023★ 7 cited

Online Distillation with Continual Learning for Cyclic Domain Shifts

Joachim Houyon, Anthony Cioppa, Yasir Ghunaim +5

In recent years, online distillation has emerged as a powerful technique for adapting real-time deep neural networks on the fly using a slow, but accurate teacher model. However, a…

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.CV2021★ 83 cited

Survey and synthesis of state of the art in driver monitoring

Anaïs Halin, Jacques G. Verly, Marc Van Droogenbroeck

Road-vehicle accidents are mostly due to human errors, and many such accidents could be avoided by continuously monitoring the driver. Driver monitoring (DM) is a topic of growing…