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Publications about 'Best paper award'
Conference articles
  1. Adrien Deliège, Anthony Cioppa, Silvio Giancola, Meisam J. Seikavandi, Jacob V. Dueholm, Kamal Nasrollahi, Bernard Ghanem, Thomas B. Moeslund, and Marc Van Droogenbroeck. SoccerNet-v2: A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos. In IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports, Nashville, Tennessee, USA, pages 4508-4519, June 2021. Note: Best CVsports paper award. Keyword(s): Calibration, SoccerNet, Dataset, Training data, Soccer, Football, Classification, Annotation, Neural network, Deep learning, Machine learning, Artificial intelligence, DeepSport, Best paper award. [bibtex-entry]


  2. Anthony Cioppa, Adrien Deliège, Noor Ul Huda, Rikke Gade, Marc Van Droogenbroeck, and Thomas B. Moeslund. Multimodal and multiview distillation for real-time player detection on a football field. In IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports, Seattle, Washington, USA, pages 3846-3855, June 2020. Note: Best CVsports paper award. Keyword(s): Soccer, Football, Artificial intelligence, Deep learning, Machine learning, Multiview distillation, Multimodal distillation, Knowledge distillation, Player detection, Thermal camera, Fisheye camera, Real-time, DeepSport, Distillation, ViBe, Best paper award. [bibtex-entry]


  3. 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]


  4. Anthony Cioppa, Adrien Deliège, and Marc Van Droogenbroeck. A bottom-up approach based on semantics for the interpretation of the main camera stream in soccer games. In IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports, Salt Lake City, Utah, USA, pages 1846-1855, June 2018. Note: Best CVsports paper award. Keyword(s): Soccer, Semantic segmentation, Artificial intelligence, Deep learning, Machine learning, CNN, DeepSport, Best paper award. [bibtex-entry]



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