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Publications of year 2021
Articles in journal or book chapters
  1. Faustine Cantalloube, Carlos Gomez-Gonzalez, Olivier Absil, Carles Cantero, R. Bacher, Markus Bonse, M. Bottom, C.-H. Dahlqvist, C. Desgrange, O. Flasseur, T. Fuhrmann, Th. Henning, R. Jensen-Clem, M. Kenworthy, D. Mawet, D. Mesa, T. Meshkat, D. Mouillet, A. Müller, E. Nasedkin, B. Pairet, S. Piérard, J.-B. Ruffio, M. Samland, J. Stone, and Marc Van Droogenbroeck. Exoplanet imaging data challenge: benchmarking the various image processing methods for exoplanet detection. ArXiv, abs/2101.05080, January 2021. Keyword(s): Exoplanet, Benchmarking, Challenge.
    @article{Cantalloube2021Exoplanet,
    title = {Exoplanet imaging data challenge: benchmarking the various image processing methods for exoplanet detection},
    author = {Cantalloube, Faustine and Gomez-Gonzalez, Carlos and Absil, Olivier and Cantero, Carles and R. Bacher and Bonse, Markus and M. Bottom and C.-H. Dahlqvist and C. Desgrange and O. Flasseur and T. Fuhrmann and Th. Henning and R. Jensen-Clem and M. Kenworthy and D. Mawet and D. Mesa and T. Meshkat and D. Mouillet and A. M{\"u}ller and E. Nasedkin and B. Pairet and S. Pi{\'e}rard and J.-B. Ruffio and M. Samland and J. Stone and Van Droogenbroeck, Marc},
    journal = {ArXiv},
    month = {January},
    year = {2021},
    volume = {abs/2101.05080},
    keywords = {Exoplanet, Benchmarking, Challenge},
    url = {https://arxiv.org/abs/2101.05080} 
    }
    


  2. Michaël Fonder and Marc Ernst, DamienVan Droogenbroeck. M4Depth: Monocular depth estimation for autonomous vehicles in unseen environments. ArXiv, abs/2105.09847, May 2021. Keyword(s): Depth estimation, Drone, UAV, Artificial Intelligence, Deep learning.
    @article{Fonder2021M4Depth,
    title = {{M4Depth}: Monocular depth estimation for autonomous vehicles in unseen environments},
    author = {Fonder, Micha\"el and Ernst, Damien{Van Droogenbroeck}, Marc},
    journal = {ArXiv},
    month = {May},
    year = {2021},
    volume = {abs/2105.09847},
    keywords = {Depth estimation, Drone, UAV, Artificial Intelligence, Deep learning},
    url = {https://arxiv.org/abs/2105.09847},
    pdf = {https://arxiv.org/pdf/2105.09847.pdf} 
    }
    


  3. Anaïs Halin, Jacques G. Verly, and Marc Van Droogenbroeck. Survey and synthesis of state of the art in driver monitoring. Sensors, 21(16):1-49, August 2021. Keyword(s): Driver monitoring, Driver state, Survey, Sensor, Indicator, Drowsiness, Mental workload, Distraction, Emotion, Under the influence.
    @article{Halin2021Survey,
    title = {Survey and synthesis of state of the art in driver monitoring},
    author = {Halin, Ana{\"\i}s and Verly, Jacques G. and Van Droogenbroeck, Marc},
    journal = {Sensors},
    volume = {21},
    number = {16},
    year = {2021},
    month = {August},
    pages = {1-49},
    keywords = {Driver monitoring, Driver state, Survey, Sensor, Indicator, Drowsiness, Mental workload, Distraction, Emotion, Under the influence},
    doi = {10.3390/s21165558},
    url = {http://hdl.handle.net/2268/262602},
    pdf = {https://www.mdpi.com/1424-8220/21/16/5558/pdf} 
    }
    


Conference articles
  1. Anthony Cioppa, Adrien Deliège, Floriane Magera, Silvio Giancola, Olivier Barnich, Bernard Ghanem, and Marc Van Droogenbroeck. Camera Calibration and Player Localization in SoccerNet-v2 and Investigation of their Representations for Action Spotting. In IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports, Nashville, Tennessee, USA, pages 4537-4546, June 2021. Keyword(s): Calibration, SoccerNet, Dataset, Training data, Soccer, Football, Classification, Annotation, Neural network, Deep learning, Machine learning, Artificial intelligence, DeepSport.
    @inproceedings{Cioppa2021Camera,
    title = {Camera Calibration and Player Localization in {SoccerNet-v2} and Investigation of their Representations for Action Spotting},
    author = {Cioppa, Anthony and Deli\`ege, Adrien and Magera, Floriane and Giancola, Silvio and Barnich, Olivier and Ghanem, Bernard and {Van Droogenbroeck}, Marc},
    booktitle = {IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports},
    month = {June},
    pages = {4537-4546},
    year = {2021},
    address = {Nashville, Tennessee, USA},
    url = {http://hdl.handle.net/2268/259026},
    doi = {10.1109/CVPRW53098.2021.00511},
    keywords = {Calibration, SoccerNet, Dataset, Training data, Soccer, Football, Classification, Annotation, Neural network, Deep learning, Machine learning, Artificial intelligence, DeepSport} 
    }
    


  2. 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.
    @inproceedings{Deliege2021SoccerNetv2,
    title = {{SoccerNet}-v2: A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos},
    author = {Deli\`ege, Adrien and Cioppa, Anthony and Giancola, Silvio and Seikavandi, Meisam J. and Dueholm, Jacob V. and Nasrollahi, Kamal and Ghanem, Bernard and Moeslund, Thomas B. and {Van Droogenbroeck}, Marc},
    booktitle = {IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports},
    month = {June},
    pages = {4508-4519},
    year = {2021},
    note = {Best CVSports paper award},
    address = {Nashville, Tennessee, USA},
    url = {http://hdl.handle.net/2268/253781},
    doi = {10.1109/CVPRW53098.2021.00508},
    keywords = {Calibration, SoccerNet, Dataset, Training data, Soccer, Football, Classification, Annotation, Neural network, Deep learning, Machine learning, Artificial intelligence, DeepSport, Best paper award} 
    }
    


  3. Giovanny Moncayo, Van Droogenbroeck Marc, Ismaël Saadi, and Mario Cools. Variability of people's activity space using GPS-based trajectory data. In Biannual BIVEC-GIBET Transport Research Days, pages 298-302, May 2021. Keyword(s): Activity space, GPS, scikit-mobility.
    @inproceedings{Moncayo2021Variability,
    title = {Variability of people's activity space using {GPS}-based trajectory data},
    author = {Moncayo, Giovanny and Van Droogenbroeck Marc and Saadi, Isma\"el and Cools, Mario},
    booktitle = {Biannual BIVEC-GIBET Transport Research Days},
    pages = {298-302},
    year = {2021},
    month = {May},
    keywords = {Activity space, GPS, scikit-mobility},
    url = {http://hdl.handle.net/2268/262711} 
    }
    


Miscellaneous
  1. Anthony Cioppa, Adrien Deliège, Silvio Giancola, Meisam Seikavandi, Jacob Dueholm, Kamal Nasrollahi, Bernard Ghanem, Thomas Moeslund, and Marc Van Droogenbroeck. SoccerNet challenge: Task presentation and winner announcement. Oral communication, June 2021. Keyword(s): SoccerNet, Dataset, Challennge, Soccer, Football, Classification, Annotation, Deep learning, Machine learning, Artificial intelligence, DeepSport.
    @misc{Cioppa2021SoccerNet,
    title = {{SoccerNet} challenge: Task presentation and winner announcement},
    author = {Cioppa, Anthony and Deli\`ege, Adrien and Giancola, Silvio and Seikavandi, Meisam and Dueholm, Jacob and Nasrollahi, Kamal and Ghanem, Bernard and Moeslund, Thomas and {Van Droogenbroeck}, Marc},
    howpublished = {Oral communication},
    month = {June},
    year = {2021},
    keywords = {SoccerNet, Dataset, Challennge, Soccer, Football, Classification, Annotation, Deep learning, Machine learning, Artificial intelligence, DeepSport},
    url = {http://hdl.handle.net/2268/267269} 
    }
    



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