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Publications of year 2019
  1. Quentin Massoz. Non-invasive, automatic, and real-time characterization of drowsiness based on eye closure dynamics. PhD thesis, University of Liège, Belgium, April 2019. Keyword(s): Drowsiness, Driver monitoring, Face, Eye closure, Pyschomotor vigilance test, Reaction time, CNN, Deep learning. [bibtex-entry]

Articles in journal or book chapters
  1. Vincent Pierlot and Marc Van Droogenbroeck. Statistical analysis of modulated codes for robot positioning: application to BeAMS. TechRxiv, 11:1-55, 2019. Keyword(s): Angle, Angle measurement, Estimator, Mean, Variance, Probability density function, Mobile robot, Beacon, BeAMS, Code, Statistics, Positioning, Triangulation, Infrared signal, Code modulation, On-off keying. [bibtex-entry]

Conference articles
  1. Anthony Cioppa, Adrien Deliège, Maxime Istasse, Christophe De Vleeschouwer, and Marc Van Droogenbroeck. ARTHuS: Adaptive Real-Time Human Segmentation in Sports through Online Distillation. In IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports, Long Beach, California, USA, pages 2505-2514, June 2019. Note: Best CVsports paper award. Keyword(s): Soccer, Semantic segmentation, Artificial intelligence, Machine learning, Deep learning, CNN, DeepSport, Best paper award. [bibtex-entry]

  2. Adrien Deliège, Anthony Cioppa, and Marc Van Droogenbroeck. An Effective Hit-or-Miss Layer Favoring Feature Interpretation as Learned Prototypes Deformations. In AAAI Conference on Artificial Intelligence, Workshop on Network Interpretability for Deep Learning, Honolulu, Hawaii, USA, pages 1-8, January 2019. Keyword(s): Deep learning, Machine learning, Artificial intelligence, Neural network, Classification, Capsule, HitNet, Hit-or-miss layer, Feature interpretation, Centripetal loss, Prototype, DeepSport. [bibtex-entry]

  3. Adrien Deliège, A. Kumar, Maxime Istasse, Christophe De Vlesschouwer, and Marc Van Droogenbroeck. Ordinal Pooling. In British Machine Vision Conference (BMVC), Cardiff, Wales, pages 1-12, September 2019. Keyword(s): Deep learning, Machine learning, Pooling, Artificial intelligence, Neural network, Convolutional layer, CNN, DeepSport. [bibtex-entry]

  4. Michaël Fonder and Marc Van Droogenbroeck. Mid-Air: A multi-modal dataset for extremely low altitude drone flights. In IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), UAVision, Long Beach, California, USA, pages 553-562, June 2019. Keyword(s): UAV, Dataset, Mid-Air, Positioning, Benchmark, Drone, Artificial Intelligence, Deep learning. [bibtex-entry]

  5. Philippe Latour and Marc Van Droogenbroeck. Dual Approaches for Elliptic Hough Transform: Eccentricity/Orientation vs Center based. In IAPR International Conference on Discrete Geometry for Computer Imagery (DGCI), Lecture Notes in Computer Science, pages 367-379, 2019. Keyword(s): Ellipse detection, Ellipse matching, Hough transform, Pencil of conics, Tangential equation. [bibtex-entry]

  6. Giovanny Moncayo-Unda, Ismaël Saadi, Marc Van Droogenbroeck, and Mario Cools. SmartGPS: An android app for collecting urban mobility data. In BIVEC/GIBET Transport Research Days, Ghent, Belgium, pages 1-10, May 2019. Keyword(s): Transport, GPS. [bibtex-entry]

Manuals, booklets
  1. Marc Van Droogenbroeck, Philippe Latour, Jean-Marc Wagner, Vincent Pierlot, and Renaud Vandeghen. Principes des télécommunications analogiques et numériques: manuel des répétitions. Manuel avec les énoncés des répétitions, Université de Liège, 2019. Keyword(s): Telecommunications, Notes de cours, Lecture notes, Exercices, ELEN008. [bibtex-entry]

  2. Marc Van Droogenbroeck, Jean-Marc Wagner, Vincent Pierlot, and Philippe Latour. Analysis and Design of Telecommunications Systems: Manual of Exercises. Manuel avec les énoncés des répétitions, Université de Liège, 2019. Keyword(s): Telecommunications, Exercices, Lecture notes, ELEN017. [bibtex-entry]

  1. 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]

  2. Marc Van Droogenbroeck, Adrien Deliège, and Anthony Cioppa. Image classification using neural networks. World Intellectual Property Organization, WO 2019/238976, 55 pages, December 2019. Keyword(s): Patent, Machine learning, Deep learning, Artificial intelligence, HitNet, Capsule, Data augmentation, DeepSport. [bibtex-entry]



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