Combining Color, Depth, and Motion for Video Segmentation. - Jérôme Leens; Sébastien Piérard; Olivier Barnich; Marc Van Droogenbroeck; Jean-Marc Wagner (ICVS, 2009)

A Virtual Curtain for the Detection of Humans and Access Control. - Olivier Barnich; Sébastien Piérard; Marc Van Droogenbroeck (ACIVS (2), 2010)

Estimation of Human Orientation in Images Captured with a Range Camera. - Sébastien Piérard; Damien Leroy; Jean-Frédéric Hansen; Marc Van Droogenbroeck (ACIVS, 2011)

A new jump edge detection method for 3D cameras. - Antoine Lejeune; Sébastien Piérard; Marc Van Droogenbroeck; Jacques G. Verly (IC3D, 2011)

A probabilistic pixel-based approach to detect humans in video streams. - Sébastien Piérard; Antoine Lejeune; Marc Van Droogenbroeck (ICASSP, 2011)

Object Descriptors Based on a List of Rectangles: Method and Algorithm. - Marc Van Droogenbroeck; Sébastien Piérard (ISMM, 2011)

Estimation of Human Orientation based on Silhouettes and Machine Learning Principles. - Sébastien Piérard; Marc Van Droogenbroeck (ICPRAM (2), 2012)

On the Human Pose Recovery based on a Single View. - Sébastien Piérard; Marc Van Droogenbroeck (ICPRAM (2), 2012)

Efficient database pruning for large-scale cover song recognition. - Julien Osmalskyj; Sébastien Piérard; Marc Van Droogenbroeck; Jean-Jacques Embrechts (ICASSP, 2013)

GAIMS: A Reliable Non-Intrusive Gait Measuring System. - Sébastien Piérard; Samir Azrour; Rémy Phan-Ba; Marc Van Droogenbroeck (ERCIM News, 2013)

Data normalization and supervised learning to assess the condition of patients with multiple sclerosis based on gait analysis. - Samir Azrour; Sébastien Piérard; Pierre Geurts; Marc Van Droogenbroeck (ESANN, 2014)

Machine learning techniques to assess the performance of a gait analysis system. - Sébastien Piérard; Rémy Phan-Ba; Marc Van Droogenbroeck (ESANN, 2014)

Design of a reliable processing pipeline for the non-intrusive measurement of feet trajectories with lasers. - Sébastien Piérard; Samir Azrour; Marc Van Droogenbroeck (ICASSP, 2014)

Simple Median-Based Method for Stationary Background Generation Using Background Subtraction Algorithms. - Benjamin Laugraud; Sébastien Piérard; Marc Braham; Marc Van Droogenbroeck (ICIAP Workshops, 2015)

A Perfect Estimation of a Background Image Does Not Lead to a Perfect Background Subtraction: Analysis of the Upper Bound on the Performance. - Sébastien Piérard; Marc Van Droogenbroeck (ICIAP Workshops, 2015)

Nonlinear Background Filter to Improve Pedestrian Detection. - Yi Wang 025; Sébastien Piérard; Song-Zhi Su; Pierre-Marc Jodoin (ICIAP Workshops, 2015)

Leveraging Orientation Knowledge to Enhance Human Pose Estimation Methods. - Samir Azrour; Sébastien Piérard; Marc Van Droogenbroeck (AMDO, 2016)

LaBGen-P: A pixel-level stationary background generation method based on LaBGen. - Benjamin Laugraud; Sébastien Piérard; Marc Van Droogenbroeck (ICPR, 2016)

A Two-Step Methodology for Human Pose Estimation Increasing the Accuracy and Reducing the Amount of Learning Samples Dramatically. - Samir Azrour; Sébastien Piérard; Pierre Geurts; Marc Van Droogenbroeck (ACIVS, 2017)

Semantic background subtraction. - Marc Braham; Sébastien Piérard; Marc Van Droogenbroeck (ICIP, 2017)

LaBGen: A method based on motion detection for generating the background of a scene. - Benjamin Laugraud; Sébastien Piérard; Marc Van Droogenbroeck (Pattern Recognit. Lett., 2017)

Improving pedestrian detection using motion-guided filtering. - Yi Wang 025; Sébastien Piérard; Song-Zhi Su; Pierre-Marc Jodoin (Pattern Recognit. Lett., 2017)

LaBGen-P-Semantic: A First Step for Leveraging Semantic Segmentation in Background Generation. - Benjamin Laugraud; Sébastien Piérard; Marc Van Droogenbroeck (J. Imaging, 2018)

Summarizing The Performances Of A Background Subtraction Algorithm Measured On Several Videos. - Sébastien Piérard; Marc Van Droogenbroeck (ICIP, 2020)

An exploration of the performances achievable by combining unsupervised background subtraction algorithms. - Sébastien Piérard; Marc Braham; Marc Van Droogenbroeck (CoRR, 2022)

Mixture Domain Adaptation to Improve Semantic Segmentation in Real-World Surveillance. - Sébastien Piérard; Anthony Cioppa; Anaïs Halin; Renaud Vandeghen; Maxime Zanella; Benoît Macq; Saïd Mahmoudi; Marc Van Droogenbroeck (WACV (Workshops), 2023)

Physically Interpretable Probabilistic Domain Characterization. - Anaïs Halin; Sébastien Piérard; Renaud Vandeghen; Benoît Gérin; Maxime Zanella; Martin Colot; Jan Held; Anthony Cioppa; Emmanuel Jean; Gianluca Bontempi; Saïd Mahmoudi; Benoît Macq; et al. (ACCV Workshops (1), 2024)

The Tile: A 2D Map of Ranking Scores for Two-Class Classification. - Sébastien Piérard; Anaïs Halin; Anthony Cioppa; Adrien Deliège; Marc Van Droogenbroeck (CoRR, 2024)

A Hitchhiker's Guide to Understanding Performances of Two-Class Classifiers. - Anaïs Halin; Sébastien Piérard; Anthony Cioppa; Marc Van Droogenbroeck (CoRR, 2024)

Foundations of the Theory of Performance-Based Ranking. - Sébastien Piérard; Anaïs Halin; Anthony Cioppa; Adrien Deliège; Marc Van Droogenbroeck (CVPR, 2025)

A Methodology to Evaluate Strategies Predicting Rankings on Unseen Domains. - Sébastien Piérard; Adrien Deliège; Anaïs Halin; Marc Van Droogenbroeck (CoRR, 2025)