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Publications of year 2022
Articles in journal or book chapters
  1. Anthony Cioppa, Adrien Deliège, Silvio Giancola, Bernard Ghanem, and Marc Van Droogenbroeck. Scaling up SoccerNet with multi-view spatial localization and re-identification. Scientific Data, 9(1), June 2022. Keyword(s): SoccerNet-v3, Human Tracking, Player Tracking, Soccer, Football, Deep learning, Machine learning, Artificial intelligence, ARIAC.
    @article{Cioppa2022Scaling,
    title = {Scaling up {SoccerNet} with multi-view spatial localization and re-identification},
    author = {Cioppa, Anthony and Deli{\`e}ge, Adrien and Giancola, Silvio and Ghanem, Bernard and Van Droogenbroeck, Marc},
    journal = {Scientific Data},
    volume = {9},
    number = {1},
    month = Jun,
    year = {2022},
    keywords = {SoccerNet-v3, Human Tracking, Player Tracking, Soccer, Football, Deep learning, Machine learning, Artificial intelligence, ARIAC},
    doi = {10.1038/s41597-022-01469-1},
    url = {https://doi.org/10.1038/s41597-022-01469-1} 
    }
    


  2. Anthony Cioppa, Silvio Giancola, Adrien Deliège, Adrien, Le Kang, Xin Zhou, Zhiyu Cheng, Bernard Ghanem, and Marc Van Droogenbroeck. SoccerNet-Tracking: Multiple Object Tracking Dataset and Benchmark in Soccer Videos. arxiv, abs/2204.06918, 2022. Note: Best CVSports paper award. Keyword(s): SoccerNet-v3, Human Tracking, Player Tracking, Soccer, Football, Deep learning, Machine learning, Artificial intelligence, ARIAC, Best paper award.
    @article{Cioppa2022SoccerNetTracking,
    title = {{SoccerNet}-Tracking: Multiple Object Tracking Dataset and Benchmark in Soccer Videos},
    author = {Cioppa, Anthony and Giancola, Silvio and Deli\`ege, Adrien, Adrien and Kang, Le and Zhou, Xin and Cheng, Zhiyu and Ghanem, Bernard and Van Droogenbroeck, Marc},
    journal = arxiv,
    year = {2022},
    volume = {abs/2204.06918},
    eprint = {2204.06918},
    doi = {10.48550/arXiv.2204.06918},
    url = {https://doi.org/10.48550/arXiv.2204.06918},
    note = {Best CVSports paper award},
    eprinttype = {arXiv},
    keywords = {SoccerNet-v3, Human Tracking, Player Tracking, Soccer, Football, Deep learning, Machine learning, Artificial intelligence, ARIAC, Best paper award} 
    }
    


  3. 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.
    @article{Pierar2022AnExploration,
    title = {An exploration of the performances achievable by combining unsupervised background subtraction algorithms},
    author = {Pi\'erard, S\'ebastien and Braham, Marc and {Van Droogenbroeck}, Marc},
    journal = {ArXiv},
    month = {February},
    year = {2022},
    volume = {abs/2202.12563},
    eprint = {2202.12563},
    doi = {10.48550/arXiv.2202.12563},
    url = {https://doi.org/10.48550/arXiv.2202.12563},
    eprinttype = {arXiv},
    keywords = {Background subtraction, Combination, Majority vote, BKS, Evaluation, Performance, Summarization, Change detection, Classification performance, CDNet 2014, ARIAC} 
    }
    


Conference articles
  1. Raphaël La Rocca, Anthony Cioppa, Marc Van Droogenbroeck, Gauthier Eppe, and Loïc Quinton. Relational Graph Convolutional Network for Robust Mass Spectrum Classification. In International Mass Spectrometry Conference (IMSC), Maastricht, The Netherlands, August-September 2022. Keyword(s): Graph, Classification, Mass spectrum.
    @inproceedings{LaRocca2022Relational,
    title = {Relational Graph Convolutional Network for Robust Mass Spectrum Classification},
    author = {La Rocca, Rapha\"el and Cioppa, Anthony and {Van Droogenbroeck}, Marc and Eppe, Gauthier and Quinton, Lo\"{\i}c},
    booktitle = {International Mass Spectrometry Conference (IMSC)},
    month = {August-September},
    year = {2022},
    address = {Maastricht, The Netherlands},
    keywords = {Graph, Classification, Mass spectrum} 
    }
    


  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.
    @inproceedings{Vandeghen2022SemiSupervisedSatellite,
    title = {Semi-Supervised Training to Improve Detection for Satellite Images},
    author = {Vandeghen, Renaud and Cioppa, Anthony and Van Droogenbroeck, Marc},
    booktitle = {AI4Copernicus: Earth Observation and Artificial Intelligence for a Safer World},
    month = {May},
    year = {2022},
    address = {Brussels, Belgium},
    keywords = {Semi-supervised, Self training, Satellite, Semantic segmentation, Artificial intelligence, Machine learning, Deep learning} url = {https://hdl.handle.net/2268/290000} 
    }
    


  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, June 2022. Keyword(s): Semi-supervised, Self training, Soccer, Semantic segmentation, Artificial intelligence, Machine learning, Deep learning, TRAIL.
    @inproceedings{Vandeghen2022SemiSupervised,
    title = {Semi-Supervised Training to Improve Player and Ball Detection in Soccer},
    author = {Vandeghen, Renaud and Cioppa, Anthony and Van Droogenbroeck, Marc},
    booktitle = {IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports},
    month = {June},
    year = {2022},
    address = {New Orleans, Louisiana, USA},
    keywords = {Semi-supervised, Self training, Soccer, Semantic segmentation, Artificial intelligence, Machine learning, Deep learning, TRAIL},
    url = {https://hdl.handle.net/2268/289668} 
    }
    


Miscellaneous
  1. Anthony Cioppa, Silvio Giancola, Adrien Deliège, Bernard Ghanem, and Marc Van Droogenbroeck. Goal! A practical guide to soccer video understanding. Norwegian Artificial Intelligence Society Symposium, Tutorial, May 2022. Keyword(s): SoccerNet, Dataset, Challennge, Soccer, Football, Classification, Annotation, Deep learning, Machine learning, Artificial intelligence.
    @misc{Cioppa2022Goal,
    title = {Goal! A practical guide to soccer video understanding},
    author = {Cioppa, Anthony and Giancola, Silvio and Deli\`ege, Adrien and Ghanem, Bernard and {Van Droogenbroeck}, Marc},
    howpublished = {Norwegian Artificial Intelligence Society Symposium, Tutorial},
    address = {Oslo, Norway},
    month = {May},
    year = {2022},
    keywords = {SoccerNet, Dataset, Challennge, Soccer, Football, Classification, Annotation, Deep learning, Machine learning, Artificial intelligence},
    url = {https://hdl.handle.net/2268/289998} 
    }
    


  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.
    @misc{Vandroogenbroeck2022Foreground-CN,
    title = {Foreground and background detection method},
    author = {{Van Droogenbroeck}, Marc and Braham, Marc and Pi{\'e}rard, S{\'e}bastien},
    month = {March},
    year = {2022},
    howpublished = {Chinese Patent Office, CN 109389618 B2, 18 pages},
    keywords = {Background subtraction, Semantic segmentation, Patent, Machine learning, Deep learning, Artificial intelligence} 
    }
    



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Last modified: Wed Jun 22 04:02:31 2022