83 citations · 115 across the 13 of their papers we have counts for
13 papers
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…
Gaze-Based Indicators of Driver Cognitive Distraction: Effects of Different Traffic Conditions and Adaptive Cruise Control Use
Anaïs Halin, Adrien Deliège, Christel Devue +1
In this simulator study, we investigate how gaze parameters reflect driver cognitive distraction under varying traffic conditions and adaptive cruise control (ACC) use. Participant…
Are Electrodermal Activity-Based Indicators of Driver Cognitive Distraction Robust to Varying Traffic Conditions and Adaptive Cruise Control Use?
Anaïs Halin, Marc Van Droogenbroeck, Christel Devue
In this simulator study, we investigate whether and how electrodermal activity (EDA) reflects driver cognitive distraction under varying traffic conditions and adaptive cruise cont…
DEV: A Driver-Environment-Vehicle Closed-Loop Framework for Risk-Aware Adaptive Automation of Driving
Anaïs Halin, Christel Devue, Marc Van Droogenbroeck
The increasing integration of automation in vehicles aims to enhance both safety and comfort, but it also introduces new risks, including driver disengagement, reduced situation aw…
Effects of Cognitive Distraction and Driving Environment Complexity on Adaptive Cruise Control Use and Its Impact on Driving Performance: A Simulator Study
Anaïs Halin, Marc Van Droogenbroeck, Christel Devue
In this simulator study, we adopt a human-centered approach to explore whether and how drivers' cognitive state and driving environment complexity influence reliance on driving aut…
A Methodology to Evaluate Strategies Predicting Rankings on Unseen Domains
Sébastien Piérard, Adrien Deliège, Anaïs Halin +1
Frequently, multiple entities (methods, algorithms, procedures, solutions, etc.) can be developed for a common task and applied across various domains that differ in the distributi…
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…
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…
Foundations of the Theory of Performance-Based Ranking
Sébastien Piérard, Anaïs Halin, Anthony Cioppa +2
Ranking entities such as algorithms, devices, methods, or models based on their performances, while accounting for application-specific preferences, is a challenge. To address this…
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…
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…
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…
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…