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Publications of Renaud Vandeghen
Conference articles
  1. Sébastien Piérard, Anthony Cioppa, Anaï 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 (WACV), waikoloa, January 2023. Note: Accepted for publication. Keyword(s): Domain adaptation, Semantic segmentation, ARIAC. [bibtex-entry]


  2. Renaud Vandeghen, Anthony Cioppa, and Marc Van Droogenbroeck. Semi-Supervised Training to Improve Detection for Satellite Images. In AI4Copernicus: Earth Observation and Artificial Intelligence for a Safer World, Brussels, Belgium, May 2022. Keyword(s): Semi-supervised, Self training, Satellite, Semantic segmentation, Artificial intelligence, Machine learning, Deep learning. [bibtex-entry]


  3. Renaud Vandeghen, Anthony Cioppa, and Marc Van Droogenbroeck. Semi-Supervised Training to Improve Player and Ball Detection in Soccer. In IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports, New Orleans, Louisiana, USA, pages 3480-3489, June 2022. IEEE. Keyword(s): Semi-supervised, Self training, Soccer, Semantic segmentation, Artificial intelligence, Machine learning, Deep learning, TRAIL. [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]


Miscellaneous
  1. Renaud Vandeghen. Semi-supervised learning for object detection in satellite images. Master's thesis, University of Liège, Belgium, June 2020. Keyword(s): Satellite imaging, Semi-supervised, Self training, Detection, Artificial intelligence, Machine learning, Deep learning. [bibtex-entry]



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Last modified: Thu Dec 1 17:02:14 2022