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Publications of Renaud Vandeghen
Articles in journal or book chapters
  1. Alexandre Eymaël, Renaud Vandeghen, Anthony Cioppa, Silvio Giancola, Bernard Ghanem, and Marc Van Droogenbroeck. Efficient Image Pre-Training with Siamese Cropped Masked Autoencoders. arXiv, abs/2403.17823, 2024. Keyword(s): Pre-training. [bibtex-entry]


  2. Renaud Vandeghen, Gilles Louppe, and Marc Van Droogenbroeck. Adaptive Self-Training for Object Detection. arXiv, abs/2212.05911, December 2022. Keyword(s): Semi-supervised, Self training, Object detection, Artificial intelligence, Machine learning, Deep learning. [bibtex-entry]


Conference articles
  1. 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]


  2. Renaud Vandeghen, Gilles Louppe, and Marc Van Droogenbroeck. Adaptive Self-Training for Object Detection. In IEEE/CVF International Conference on Computer Vision Workshops (ICCV Workshops), Paris, France, pages 914-923, October 2023. Keyword(s): Deep learning, Machine learning, Self-training, Object detection, Semi-supervision, Supervision, Refinement, ASTOD, COCO dataset, DIOR dataset. [bibtex-entry]


  3. 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]


  4. 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. 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. 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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