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Publications of Sébastien Piérard
Articles in journal or book chapters
  1. Anaïs Halin, Sébastien Piérard, Anthony Cioppa, and Marc Van Droogenbroeck. A Hitchhiker's Guide to Understanding Performances of Two-Class Classifiers. arXiv, abs/2412.04377, 2024. Keyword(s): Performance, Classification, Ranking, Score, Tile. [bibtex-entry]


  2. Sébastien Piérard, Anaïs Halin, Anthony Cioppa, Adrien Deliège, and Marc Van Droogenbroeck. Foundations of the Theory of Performance-Based Ranking. arXiv, abs/2412.04227, 2024. Keyword(s): Performance, Theory, Ranking. [bibtex-entry]


  3. Sébastien Piérard, Anaïs Halin, Anthony Cioppa, Adrien Deliège, and Marc Van Droogenbroeck. The Tile: A 2D Map of Ranking Scores for Two-Class Classification. arXiv, abs/2412.04309, 2024. Keyword(s): Performance, Classification, Ranking, Score, Tile. [bibtex-entry]


  4. Sébastien Piérard, Marc Braham, and Marc Van Droogenbroeck. An exploration of the performances achievable by combining unsupervised background subtraction algorithms. ArXiv, abs/2202.12563, February 2022. Keyword(s): Background subtraction, Combination, Majority vote, BKS, Evaluation, Performance, Summarization, Change detection, Classification performance, CDNet 2014, ARIAC. [bibtex-entry]


  5. Faustine Cantalloube, Carlos Gomez-Gonzalez, Olivier Absil, Carles Cantero, Regis Bacher, Markus Bonse, Michael Bottom, Carl-Henrik Dahlqvist, Célia Desgrange, Olivier Flasseur, Thomas Fuhrmann, Thomas H. Henning, Rebecca Jensen-Clem, Matthew Kenworthy, Dimitri Mawet, Dino Mesa, Tiffany Meshkat, David Mouillet, André Müller, Evert Nasedkin, Benoit Pairet, Sébastien Piérard, Jean-Baptiste Ruffio, Matthias Samland, Jordan Stone, and Marc Van Droogenbroeck. Exoplanet imaging data challenge: benchmarking the various image processing methods for exoplanet detection. ArXiv, abs/2101.05080, January 2021. Keyword(s): Exoplanet, Benchmarking, Challenge. [bibtex-entry]


  6. Benjamin Laugraud, Sébastien Piérard, and Marc Van Droogenbroeck. LaBGen-P-Semantic: A First Step for Leveraging Semantic Segmentation in Background Generation. Journal of Imaging, 4(7):86, June 2018. Keyword(s): Background generation, Background initialization, LaBGen, Semantics. [bibtex-entry]


  7. Benjamin Laugraud, Sébastien Piérard, and Marc Van Droogenbroeck. LaBGen: A Method Based on Motion Detection for Generating the Background of a Scene. Pattern Recognition Letters, 96:12-21, 2017. Keyword(s): LaBGen, Background initialization, Background generation, Background subtraction, SBMI dataset, SBMC contest. [bibtex-entry]


  8. Sébastien Piérard, Antoine Lejeune, and Marc Van Droogenbroeck. Boosting Shape Classifiers Accuracy by Considering the Inverse Shape. Journal of Pattern Recognition Research, 11(1):41-54, 2016. Keyword(s): Shape descriptor, Inverse shape, Object classification, Cover by rectangles, Zernike moments. [bibtex-entry]


  9. Samir Azrour, Sébastien Piérard, and Marc Van Droogenbroeck. Defining a score based on gait analysis for the longitudinal follow-up of MS patient. Multiple Sclerosis Journal, 23(S11):408-409, September 2015. Note: Proceedings of ECTRIMS 2015 (Barcelona, Spain), P817. Keyword(s): GAIMS, Gait analysis, Multiple sclerosis, EDSS. [bibtex-entry]


  10. Amaury Giet, Sébastien Piérard, Marguerite Foidart-Dessalle, Marc Van Droogenbroeck, and Rémy Phan-Ba. Assessment of physical therapy and activity in multiple sclerosis (APTAIMS): development, reliability and validity of a new questionnaire. Multiple Sclerosis Journal, 21(4):531, April 2015. Note: Proceedings of Rehabilitation in Multiple Sclerosis (RIMS) 2015 (Milano, Italy). Keyword(s): GAIMS, Multiple sclerosis. [bibtex-entry]


  11. Rémy Phan-Ba, Sébastien Piérard, Amaury Giet, and Marc Van Droogenbroeck. Individual variation of gait characteristics along a 500 meter walk in people with multiple sclerosis and healthy volunteers. Multiple Sclerosis Journal, 21(4):532-533, April 2015. Note: Proceedings of Rehabilitation in Multiple Sclerosis (RIMS) 2015 (Milano, Italy). Keyword(s): GAIMS, Multiple sclerosis, Gait analysis. [bibtex-entry]


  12. Sébastien Piérard, Rémy Phan-Ba, Amaury Giet, and Marc Van Droogenbroeck. GAIMS: a tool specifically developed for the clinical gait analysis of patients with multiple sclerosis. Multiple Sclerosis Journal, 21(4):498-499, April 2015. Note: Proceedings of Rehabilitation in Multiple Sclerosis (RIMS) 2015 (Milano, Italy). Keyword(s): GAIMS, Motor fatigue, Gait analysis, Multiple sclerosis. [bibtex-entry]


  13. Sébastien Piérard, Rémy Phan-Ba, and Marc Van Droogenbroeck. Understanding how people with MS get tired while walking. Multiple Sclerosis Journal, 23(S11):406, September 2015. Note: Proceedings of ECTRIMS 2015 (Barcelona, Spain), P812. Keyword(s): GAIMS, Multiple Sclerosis, Gait, Motor fatigue. [bibtex-entry]


  14. Pierre-Marc Jodoin, Sébastien Piérard, Y. Wang, and Marc Van Droogenbroeck. Overview and Benchmarking of Motion Detection Methods. In T. Bouwmans, F. Porikli, B. Hoferlin, and A. Vacavant, editors, Background Modeling and Foreground Detection for Video Surveillance, chapter 24. Chapman and Hall/CRC, July 2014. Keyword(s): Background subtraction, Book. [bibtex-entry]


  15. Sébastien Piérard, Samir Azrour, Rémy Phan-Ba, V. Delvaux, P. Maquet, and Marc Van Droogenbroeck. Diagnosing multiple sclerosis with a gait measuring system, an analysis of the motor fatigue, and machine learning. Multiple Sclerosis Journal, 20(S1):171, September 2014. Note: Proceedings of ACTRIMS/ECTRIMS 2014 (Boston, USA), P232. Keyword(s): GAIMS, Multiple Sclerosis, Gait, Motor Fatigue. [bibtex-entry]


  16. Rémy Phan-Ba, Sébastien Piérard, E. Lommers, G. Delrue, P. Calay, Marc Van Droogenbroeck, V. Delvaux, and P. Maquet. Relative Contribution of Walking Speed, Ataxia and Gait asymmetry to the Composition of Gait in Multiple Sclerosis. Multiple Sclerosis Journal, 19(S1):261, October 2013. Note: Proceedings of ECTRIMS/RIMS 2013 (Copenhagen, Denmark), P608. Keyword(s): GAIMS, Multiple Sclerosis, Gait, Walking speed, Ataxia. [bibtex-entry]


  17. Sébastien Piérard, Samir Azrour, Rémy Phan-Ba, and Marc Van Droogenbroeck. GAIMS: A Reliable Non-Intrusive Gait Measuring System. ERCIM News, 95:26-27, October 2013. Keyword(s): Multiple Sclerosis, Gait, Outcome measure, GAIMS, Immersion, Machine learning. [bibtex-entry]


  18. Sébastien Piérard, Rémy Phan-Ba, V. Delvaux, P. Maquet, and Marc Van Droogenbroeck. GAIMS: a powerful gait analysis system satisfying the constraints of clinical routine. Multiple Sclerosis Journal, 19(S1):359, October 2013. Note: Proceedings of ECTRIMS/RIMS 2013 (Copenhagen, Denmark), P800. Keyword(s): Multiple Sclerosis, Gait, Outcome measure, GAIMS. [bibtex-entry]


  19. Shibeshih Mitiku Belachew, Sébastien Piérard, Rémy Phan-Ba, and Marc Van Droogenbroeck. Multimodal evaluation of gait and stride dynamics in relapsing and progressive forms of multiple sclerosis. Proceedings of the Belgian Royal Academies of Medicine, 1:66-69, 2012. Keyword(s): Multiple Sclerosis, Gait, Walking speed, Ataxia, Motor fatigue, Foot dynamics, Stride, GAIMS, Ambulation sclerosis. [bibtex-entry]


  20. Antoine Lejeune, Sébastien Piérard, Marc Van Droogenbroeck, and Jacques Verly. Utilisation de la Kinect. Linux Magazine France, 151:16-29, Juillet-Août 2012. Keyword(s): Kinect, Image processing, 3D, Range, Depth map, Acquisition. [bibtex-entry]


Conference articles
  1. Anaïs Halin, Sébastien Piérard, Renaud Vandeghen, Benoît Gérin, Maxime Zanella, Martin Colot, Jan Held, Anthony Cioppa, Emmanuel Jean, Gianluca Bontempi, Saïd Mahmoudi, Benoît Macq, and Marc Van Droogenbroeck. Physically Interpretable Probabilistic Domain Characterization. In Asian Conference on Computer Vision Workshop, Hanoi, Vietnam, December 2024. Note: Accepted for publications. Keyword(s): Domain, Domain adaptation, Learning. [bibtex-entry]


  2. Sébastien Piérard, Anthony Cioppa, Anaïs Halin, Renaud Vandeghen, Maxime Zanella, Benoît Macq, Saïd Mahmoudi, and Marc Van Droogenbroeck. Mixture Domain Adaptation to Improve Semantic Segmentation in Real-World Surveillance. In IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), Waikoloa, Hawaii, USA, pages 22-31, January 2023. Keyword(s): Domain adaptation, Articial intelligence, Semantic segmentation, Autonomous cars, ARIAC. [bibtex-entry]


  3. Faustine Cantalloube, Carlos Gomez-Gonzalez, Olivier Absil, Carles Cantero, Regis Bacher, Markus Bonse, Michael Bottom, Carl-Henrik Dahlqvist, Célia Desgrange, Olivier Flasseur, Thomas Fuhrmann, Thomas H. Henning, Rebecca Jensen-Clem, Matthew Kenworthy, Dimitri Mawet, Dino Mesa, Tiffany Meshkat, David Mouillet, André Müller, Evert Nasedkin, Benoit Pairet, Sébastien Piérard, Jean-Baptiste Ruffio, Matthias Samland, Jordan Stone, and Marc Van Droogenbroeck. Exoplanet imaging data challenge: benchmarking the various image processing methods for exoplanet detection. In Adaptive Optics Systems VII, volume 11448 of Proceedings of SPIE, pages 1-36, December 2020. SPIE. Keyword(s): Exoplanet, Detection, Benchmarking, Challenge. [bibtex-entry]


  4. Sébastien Piérard and Marc Van Droogenbroeck. Summarizing the performances of a background subtraction algorithm measured on several videos. In IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, pages 3234-3238, October 2020. Keyword(s): Background subtraction, Evaluation, Performance, Summarization, Change detection, Classification performance, CDNet 2014, DeepSport. [bibtex-entry]


  5. Samir Azrour, Sébastien Piérard, Pierre Geurts, and Marc Van Droogenbroeck. A two-step methodology for human pose estimation increasing the accuracy and reducing the amount of learning samples dramatically. In Advanced Concepts for Intelligent Vision Systems (ACIVS), volume 10617 of Lecture Notes in Computer Science, pages 3-14, 2017. Keyword(s): Pose estimation, Orientation estimation. [bibtex-entry]


  6. Marc Braham, Sébastien Piérard, and Marc Van Droogenbroeck. Semantic Background Subtraction. In IEEE International Conference on Image Processing, Beijing, China, pages 4552-4556, September 2017. Keyword(s): Background subtraction, Change detection, Semantic segmentation, Scene labeling, Scene parsing, Classification, Machine learning, Deep learning, CDNet 2014. [bibtex-entry]


  7. Samir Azrour, Sébastien Piérard, and Marc Van Droogenbroeck. Improving pose estimation by building dedicated datasets and using orientation. In IET Workshop on Human Motion Analysis for Healthcare Applications, London, United Kingdom, May 2016. Keyword(s): Pose estimation, Human, Depth camera, 3D camera, Orientation. [bibtex-entry]


  8. Samir Azrour, Sébastien Piérard, and Marc Van Droogenbroeck. Leveraging orientation knowledge to enhance human pose estimation methods. In Articulated Motion and Deformable Objects AMDO, volume 9756 of Lecture Notes in Computer Science, Palma, Mallorca, Spain, pages 81-87, 2016. Springer. Keyword(s): Human pose estimation, Orientation, 3D, Machine learning. [bibtex-entry]


  9. Benjamin Laugraud, Sébastien Piérard, and Marc Van Droogenbroeck. LaBGen-P: A Pixel-Level Stationary Background Generation Method Based on LaBGen. In International Conference on Pattern Recognition (ICPR), Scene Background Modeling Contest (SBMC), Cancun, Mexico, December 2016. Note: Source code in C++ available, see http://www.telecom.ulg.ac.be/labgen. Keyword(s): Background generation, Background modelling, Background image, Source code, LaBGen, Background estimation, Initialization, SBMnet, SBMC, Motion detection, LaBGen. [bibtex-entry]


  10. Sébastien Piérard, Samir Azrour, and Marc Van Droogenbroeck. Slicing the 3D space into planes for the fast interpretation of human motion. In IET Workshop on Human Motion Analysis for Healthcare Applications, London, United Kingdom, May 2016. Keyword(s): Human, Motion, Gait analysis, GAIMS. [bibtex-entry]


  11. Sébastien Piérard and Marc Van Droogenbroeck. What are the optimal walking tests to assess disability progression?. In European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), London, UK, September 2016. Keyword(s): GAIMS, Gait analysis, Multiple sclerosis. [bibtex-entry]


  12. Benjamin Laugraud, Sébastien Piérard, Marc Braham, and Marc Van Droogenbroeck. Simple median-based method for stationary background generation using background subtraction algorithms. In International Conference on Image Analysis and Processing (ICIAP), Workshop on Scene Background Modeling and Initialization (SBMI), volume 9281 of Lecture Notes in Computer Science, pages 477-484, 2015. Note: Source code in C++ available. Keyword(s): Background subtraction, Background image, Source code. [bibtex-entry]


  13. Benjamin Laugraud, Sébastien Piérard, and Marc Van Droogenbroeck. Time ordering shuffling for improving background subtraction. In Advanced Concepts for Intelligent Vision Systems (ACIVS), volume 9386 of Lecture Notes in Computer Science, pages 58-69, 2015. Keyword(s): Background subtraction, Time ordering, Time shuffling. [bibtex-entry]


  14. Sébastien Piérard and Marc Van Droogenbroeck. A perfect estimation of a background image does not lead to a perfect background subtraction: analysis of the upper bound on the performance. In International Conference on Image Analysis and Processing (ICIAP), Workshop on Scene Background Modeling and Initialization (SBMI), volume 9281 of Lecture Notes in Computer Science, pages 56-65, September 2015. Keyword(s): Background subtraction, Evaluation, Performance analysis, Upper bound. [bibtex-entry]


  15. Samir Azrour, Sébastien Piérard, Pierre Geurts, and Marc Van Droogenbroeck. Data normalization and supervised learning to assess the condition of patients with multiple sclerosis based on gait analysis. In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Bruges, Belgium, pages 649-654, April 2014. Keyword(s): Data normalization, Machine learning, Multiple sclerosis. [bibtex-entry]


  16. Sébastien Piérard, Alejandro Marcos Alvarez, Antoine Lejeune, and Marc Van Droogenbroeck. On-the-fly Domain Adaptation of Binary Classifiers. In Belgian-Dutch Conference on Machine Learning (BENELEARN), Brussels, Belgium, June 2014. Keyword(s): Classifier, Machine learning. [bibtex-entry]


  17. Sébastien Piérard, Samir Azrour, Rémy Phan-Ba, and Marc Van Droogenbroeck. Detection and characterization of gait modifications, for the longitudinal follow-up of patients with neurological diseases, based on the gait analyzing system GAIMS. In European Life Sciences Summit BIOMEDICA, Maastricht, The Netherlands, June 2014. Keyword(s): GAIMS, Gait, Follow-up, Patient, Multiple sclerosis. [bibtex-entry]


  18. Sébastien Piérard, Samir Azrour, and Marc Van Droogenbroeck. Design of a reliable processing pipeling for the non-intrusive measurement of feet trajectories with lasers. In International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence, Italy, pages 4399-4403, May 2014. Keyword(s): GAIMS, Feet, Multiple sclerosis. [bibtex-entry]


  19. Sébastien Piérard, R. Phan-Ba, and Marc Van Droogenbroeck. Machine learning techniques to assess the performance of a gait analysis system. In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Bruges, Belgium, pages 419-424, April 2014. Keyword(s): GAIMS, Feet, Machine learning. [bibtex-entry]


  20. Samir Azrour, Sébastien Piérard, and Marc Van Droogenbroeck. Using gait measuring system (GAIMS) to discriminate patients with multiple sclerosis from healthy persons. In BEMEKO Workshop on measurement: Challenges and Opportunities, Liège, Belgium, November 2013. [bibtex-entry]


  21. Benjamin Laugraud, Sébastien Piérard, and Marc Van Droogenbroeck. Metrics to evaluate binary classifiers for video background extraction: weaknesses, strengths, and perspectives. In BEMEKO Workshop on measurement: Challenges and Opportunities, Liège, Belgium, November 2013. [bibtex-entry]


  22. Julien Osmalskyj, Sébastien Piérard, Marc Van Droogenbroeck, and Jean-Jacques Embrechts. Efficient database pruning for large-scale cover song recognition. In International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), Vancouver, Canada, May 2013. Keyword(s): Song, Recognition, Million Song Dataset, Music Information Retrieval, Chromas, Rejectors, Cover Songs. [bibtex-entry]


  23. Rémy Phan-Ba, G. Delrue, Sébastien Piérard, E. Lommers, P. Calay, Marc Van Droogenbroeck, and V. Delvaux. Influence of the mode of walk on walking speed in multiple sclerosis: are you walking comfortably?. In Twenty-third meeting of the European Neurological Society, Barcelona, Spain, June 2013. Keyword(s): GAIMS, Multiple Sclerosis, Gait, Walking speed. [bibtex-entry]


  24. Sébastien Piérard, Samir Azrour, and Marc Van Droogenbroeck. Measuring feet trajectories: challenges and applications. In BEMEKO Workshop on measurement: Challenges and Opportunities, Liège, Belgium, November 2013. Keyword(s): GAIMS, Feet, Tracking, Multiple sclerosis, Biometric identification. [bibtex-entry]


  25. Julien Osmalskyj, Jean-Jacques Embrechts, Marc Van Droogenbroeck, and Sébastien Piérard. Neural networks for musical chords recognition. In Journées d'informatique musicale, Mons, Belgium, pages 39-46, May 2012. Keyword(s): Chord, Recognition, Neural network, Classification. [bibtex-entry]


  26. Rémy Phan-Ba, Sébastien Piérard, Gustave Moonen, Marc Van Droogenbroeck, and Shibeshih Mitiku Belachew. Deciphering distance-induced deceleration of gait and ataxia in people with multiple sclerosis. In Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), Lyon, France, October 2012. Keyword(s): GAIMS, Multiple Sclerosis, Gait, Gait deceleration, Outcome measure. [bibtex-entry]


  27. Rémy Phan-Ba, Sébastien Piérard, Gustave Moonen, Marc Van Droogenbroeck, and Shibeshih Mitiku Belachew. Detection and Quantification of Efficiency and Quality of Gait Impairment in Multiple Sclerosis through Foot Path Analysis. In Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), Lyon, France, October 2012. Keyword(s): GAIMS, Multiple Sclerosis, Gait, Outcome measure. [bibtex-entry]


  28. Sébastien Piérard, Vincent Pierlot, Antoine Lejeune, and Marc Van Droogenbroeck. I-see-3D! An Interactive and Immersive System that dynamically adapts 2D projections to the location of a user's eyes. In International Conference on 3D Imaging (IC3D), Liège, Belgium, December 2012. Keyword(s): 3D, Projection, Immersion, Calibration, Pinhole, Head coupled perspective, Tracking, Kalman filtering, OpenGL, Laser, Kinect. [bibtex-entry]


  29. Sébastien Piérard and Marc Van Droogenbroeck. Estimation of human orientation based on silhouettes and machine learning principles. In International Conference on Pattern Recognition Applications and Methods (ICPRAM), volume 2, Vilamoura, Portugal, pages 51-60, February 2012. Keyword(s): Human, Orientation, Machine learning, Regression, Estimation, MakeHuman. [bibtex-entry]


  30. Sébastien Piérard and Marc Van Droogenbroeck. On the human pose recovery based on a single view. In International Conference on Pattern Recognition Applications and Methods (ICPRAM), volume 2, Vilamoura, Portugal, pages 310-315, February 2012. Keyword(s): Human, Silhouette, Pose, Pose recovery, Pose estimation. [bibtex-entry]


  31. Antoine Lejeune, Sébastien Piérard, Marc Van Droogenbroeck, and Jacques Verly. A new jump edge detection method for 3D cameras. In International Conference on 3D Imaging (IC3D), Liège, Belgium, pages 1-7, December 2011. Keyword(s): 3D, Depth, Range, Distance, ToF camera, Edge, Edge detection, Canny, Kinect. [bibtex-entry]


  32. Sébastien Piérard, Antoine Lejeune, and Marc Van Droogenbroeck. A probabilistic pixel-based approach to detect humans in video streams. In International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Prague, Czech Republic, pages 921-924, May 2011. Keyword(s): Human, Detection, Silhouette, Background subtraction. [bibtex-entry]


  33. Sébastien Piérard, Damien Leroy, Jean-François Hansen, and Marc Van Droogenbroeck, Marc. Estimation of human orientation in images captured with a range camera. In Advanced Concepts for Intelligent Vision Systems (ACIVS), volume 6915 of Lecture Notes in Computer Science, pages 519-530, 2011. Springer. Keyword(s): Human, Orientation, Depth, Range camera, Machine learning, MakeHuman. [bibtex-entry]


  34. S. Piérard, Marc Van Droogenbroeck, Rémy Phan-Ba, and Shibeshih Mitiku Belachew. A new low-cost and non-intrusive feet tracker. In Workshop on Circuits, Systems and Signal Processing (ProRISC), Veldhoven, The Netherlands, November 2011. Keyword(s): GAIMS, Human, Feet, Walking, Laser, Measure, Path, Range laser, Multiple Sclerosis. [bibtex-entry]


  35. Marc Van Droogenbroeck and Sébastien Piérard. Object descriptors based on a list of rectangles: method and algorithm. In International Symposium on Mathematical Morhology (ISMM), volume 6671 of Lecture Notes on Computer Science, Ispra, Italy, pages 155-165, 2011. Springer. Keyword(s): Algorithm, Rectangle, Opening, Mathematical morphology, Source code. [bibtex-entry]


  36. Olivier Barnich, Sébastien Piérard, and Marc Van Droogenbroeck. A virtual curtain for the detection of humans and access control. In Advanced Concepts for Intelligent Vision Systems (ACIVS 2010), Part II, Sydney, Australia, pages 98-109, December 2010. Keyword(s): Detection, Human, Access control, Curtain, Silhouette, Laser, Sensor, Machine learning, Training, Door. [bibtex-entry]


  37. Sébastien Piérard, Antoine Lejeune, and Marc Van Droogenbroeck. 3D information is valuable for the detection of humans in video streams. In Proceedings of 3D Stereo MEDIA, Liège, Belgium, December 2010. Keyword(s): 3D, Depth, Range, Distance, ToF camera, Human, Detection, MakeHuman. [bibtex-entry]


  38. Sébastien Piérard, Vincent Pierlot, Olivier Barnich, Marc Van Droogenbroeck, and jacques Verly. A platform for the fast interpretation of movements and localization of users in 3D applications driven by a range camera. In 3DTV Conference, Tampere, Finland, June 2010. Keyword(s): 3D, Localization, Laser, Camera. [bibtex-entry]


  39. J. Leens, Sébastien Piérard, Olivier Barnich, Marc Van Droogenbroeck, and Jean-Marc Wagner. Combining Color, Depth, and Motion for Video Segmentation. In Computer Vision Systems, volume 5815 of Lecture Notes in Computer Science, pages 104-113, 2009. Springer. Keyword(s): Range, 3D, Distance, ToF camera, Motion, Segmentation. [bibtex-entry]


  40. Sébastien Piérard, Jéröme Leens, and Marc Van Droogenbroeck. Real-time processing of depth and color video streams to improve the reliability of depth maps. In Proceedings of 3D Stereo MEDIA, Liège, Belgium, November 2009. Keyword(s): 3D, Depth, Range, Distance, ToF camera, Background subtraction, Motion detection, Segmentation. [bibtex-entry]


  41. Sébastien Piérard and Marc Van Droogenbroeck. A technique for building databases of annotated and realistic human silhouettes based on an avatar. In Workshop on Circuits, Systems and Signal Processing (ProRISC), Veldhoven, The Netherlands, pages 243-246, November 2009. Keyword(s): Human, Silhouette, Avatar, Database, Annotation, Body, MakeHuman. [bibtex-entry]


  42. Sébastien Piérard and Marc Van Droogenbroeck. Techniques to improve the foreground segmentation with a 3D camera and a color camera. In Workshop on Circuits, Systems and Signal Processing (ProRISC), Veldhoven, The Netherlands, pages 247-250, November 2009. Keyword(s): 3D, Acquisition, Range, Calibration, Foreground segmentation, Background extraction, ToF camera, Distance. [bibtex-entry]


Miscellaneous
  1. Sébastien Piérard, Anthony Cioppa, Anaïs Halin, Renaud Vandeghen, Maxime Zanella, Benoît Macq, Saïd Mahmoudi, and Marc Van Droogenbroeck. Pushing AI out of the lab with on-the-fly mixture domain adaptation. The European AI week, March 2023. Keyword(s): Domain adaptation, Articial intelligence, Semantic segmentation, Autonomous cars, ARIAC. [bibtex-entry]


  2. Marc Van Droogenbroeck, Marc Braham, and Sébastien Piérard. Foreground and background detection method. Chinese Patent Office, CN 109389618 B2, 18 pages, March 2022. Keyword(s): Background subtraction, Semantic segmentation, Patent, Machine learning, Deep learning, Artificial intelligence. [bibtex-entry]


  3. Marc Van Droogenbroeck, Marc Braham, and Sébastien Piérard. Foreground and background detection method. United States Patent and Trademark Office, US 10614736 B2, 16 pages, April 2020. Keyword(s): Background subtraction, Semantic segmentation, Patent, Machine learning, Deep learning, Artificial intelligence. [bibtex-entry]


  4. Marc Van Droogenbroeck, Marc Braham, and Sébastien Piérard. Foreground and background detection method. European Patent Office, EP 3438929 B2, July 2020. Keyword(s): Background subtraction, Semantic segmentation, Patent, Machine learning, Deep learning, Artificial intelligence. [bibtex-entry]


  5. Marc Van Droogenbroeck, Marc Braham, and Sébastien Piérard. Foreground and background detection method. Chinese Patent Office, CN109389618A, February 2019. Keyword(s): Background subtraction, Semantic segmentation, Patent, Machine learning, Deep learning, Artificial intelligence. [bibtex-entry]


  6. Sébastien Piérard, Antoine Lejeune, and Marc Van Droogenbroeck. Recognition of emotions in facial images. Internal report, March 2012. Keyword(s): Face, Facial image, Emotion, Classification. [bibtex-entry]


  7. Sébastien Piérard. Génération automatique d'une base de données de silhouettes humaines au moyen d'un avatar humain tridimensionnel. Master's thesis, University of Liège, Belgium, 2007. Keyword(s): Infographie, Silhouette, Avatar, TFE. [bibtex-entry]



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Last modified: Fri Dec 6 13:51:04 2024