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Publications of year 2020
Thesis
  1. Anthony Cioppa. Real-time semantics in video sequences. PhD thesis, University of Liège, Belgium, December 2020. Keyword(s): Sport, Soccer, Football, Machine learning, Deep learning, Semantics, Video understanding, Real-time, Semantic segmentation, Action spotting, Dataset, Background subtraction, Online distillation, SoccerNet, DeepSport.
    @phdthesis{Cioppa2020RealTime,
    title = {Real-time semantics in video sequences},
    author = {Cioppa, Anthony},
    school = {University of Li\`ege, Belgium},
    keywords = {Sport, Soccer, Football, Machine learning, Deep learning, Semantics, Video understanding, Real-time, Semantic segmentation, Action spotting, Dataset, Background subtraction, Online distillation, SoccerNet, DeepSport},
    year = {2020},
    month = {December},
    url = {http://hdl.handle.net/2268/252147} 
    }
    


  2. Benjamin Laugraud. Motion-aware temporal median filtering for robust background estimation. PhD thesis, University of Liège, Belgium, March 2020. Keyword(s): Background estimation, Background initialization, Background generation, Motion detection, Background subtraction, Optical flow, Semantic segmentation, Scene parsing, Median filtering, SBI dataset, SBMnet dataset, LaBGen, LaBGen-P, LaBGen-OF, LaBGen-P-Semantic, Computer vision, Image processing.
    @phdthesis{Laugraud2020MotionAware,
    title = {Motion-aware temporal median filtering for robust background estimation},
    author = {Laugraud, Benjamin},
    school = {University of Li\`ege, Belgium},
    keywords = {Background estimation, Background initialization, Background generation, Motion detection, Background subtraction, Optical flow, Semantic segmentation, Scene parsing, Median filtering, SBI dataset, SBMnet dataset, LaBGen, LaBGen-P, LaBGen-OF, LaBGen-P-Semantic, Computer vision, Image processing},
    year = {2020},
    month = {March},
    url = {http://hdl.handle.net/2268/242075} 
    }
    


Articles in journal or book chapters
  1. Anthony Cioppa, Marc Braham, and Marc Van Droogenbroeck. Asynchronous semantic background subtraction. Journal of Imaging, 6(50):1-20, June 2020. Keyword(s): Background subtraction, Real time, Change detection, Semantic segmentation, Semantic background subtraction, CDNet 2014, DeepSport.
    @article{Cioppa2020Asynchronous,
    title = {Asynchronous semantic background subtraction},
    author = {Cioppa, Anthony and Braham, Marc and {Van Droogenbroeck}, Marc},
    journal = {Journal of Imaging},
    volume = {6},
    number = {50},
    year = {2020},
    month = Jun,
    pages = {1-20},
    keywords = {Background subtraction, Real time, Change detection, Semantic segmentation, Semantic background subtraction, CDNet 2014, DeepSport},
    doi = {10.3390/jimaging6060050},
    url = {https://doi.org/10.3390/jimaging6060050} 
    }
    


  2. Adrien Deliège, Anthony Cioppa, and Marc Van Droogenbroeck. Ghost Loss to Question the Reliability of Training Data. IEEE Access, 8:44774-44782, March 2020. Keyword(s): Deep learning, Machine learning, Ghost, Artificial Intelligence, Training data, DeepSport.
    @article{Deliege2020Ghost,
    title = {Ghost Loss to Question the Reliability of Training Data},
    author = {Deli\`ege, Adrien and Cioppa, Anthony and {Van Droogenbroeck}, Marc},
    journal = {IEEE Access},
    volume = {8},
    pages = {44774-44782},
    month = {March},
    year = {2020},
    keywords = {Deep learning, Machine learning, Ghost, Artificial Intelligence, Training data, DeepSport},
    doi = {10.1109/ACCESS.2020.2978283},
    pdf = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9023959},
    url = {http://doi.org/10.1109/ACCESS.2020.2978283} 
    }
    


Conference articles
  1. Faustine Cantalloube, Carlos Gomez-Gonzalez, Olivier Absil, Carles Cantero, Regis Bacher, Markus Bonse, Michael Bottom, Carl-Henrik Dahlqvist, Célia Desgrange, Olivier Flasseur, Thomas Fuhrmann, Thomas H. Henning, Rebecca Jensen-Clem, Matthew Kenworthy, Dimitri Mawet, Dino Mesa, Tiffany Meshkat, David Mouillet, André Müller, Evert Nasedkin, Benoit Pairet, Sébastien Piérard, Jean-Baptiste Ruffio, Matthias Samland, Jordan Stone, and Marc Van Droogenbroeck. Exoplanet imaging data challenge: benchmarking the various image processing methods for exoplanet detection. In Adaptive Optics Systems VII, volume 11448 of Proceedings of SPIE, pages 1-36, December 2020. SPIE. Keyword(s): Exoplanet, Detection, Benchmarking, Challenge.
    @inproceedings{Cantalloube2020Exoplanet,
    title = {Exoplanet imaging data challenge: benchmarking the various image processing methods for exoplanet detection},
    author = {Cantalloube, Faustine and Gomez-Gonzalez, {Carlo}s and Absil, Olivier and Cantero, Carles and Bacher, Regis and Bonse, Markus and Bottom, Michael and Dahlqvist, Carl-Henrik and Desgrange, C{\'e}lia and Flasseur, Olivier and Fuhrmann, Thomas and Henning, Thomas H. and Jensen-Clem, Rebecca and Kenworthy, Matthew and Mawet, Dimitri and Mesa, Dino and Meshkat, Tiffany and Mouillet, David and M{\"u}ller, Andr{\'e} and Nasedkin, Evert and Pairet, Benoit and Pi{\'e}rard, S{\'e}bastien and Ruffio, Jean-Baptiste and Samland, Matthias and Stone, Jordan and Van Droogenbroeck, Marc},
    booktitle = {Adaptive Optics Systems VII},
    series = {Proceedings of SPIE},
    pages = {1-36},
    month = {December},
    year = {2020},
    volume = {11448},
    publisher = {SPIE},
    keywords = {Exoplanet, Detection, Benchmarking, Challenge},
    doi = {10.1117/12.2574803},
    url = {http://dx.doi.org/10.1117/12.2574803} 
    }
    


  2. Anthony Cioppa, Adrien Deliège, Silvio Giancola, Bernard Ghanem, Marc Van Droogenbroeck, Rikke Gade, and Thomas B. Moeslund. A Context-Aware Loss Function for Action Spotting in Soccer Videos. In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, Washington, USA, pages 13123-13133, June 2020. Keyword(s): Action spotting, Artificial Intelligence, Soccer, Deep learning, Loss, DeepSport.
    @inproceedings{Cioppa2020AContextAware,
    title = {A Context-Aware Loss Function for Action Spotting in Soccer Videos},
    author = {Cioppa, Anthony and Deli\`ege, Adrien and Giancola, Silvio and Ghanem, Bernard and Van Droogenbroeck, Marc and Gade, Rikke and Moeslund, Thomas B.},
    booktitle = {IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)},
    pages = {13123-13133},
    month = {June},
    year = {2020},
    address = {Seattle, Washington, USA},
    keywords = {Action spotting, Artificial Intelligence, Soccer, Deep learning, Loss, DeepSport},
    doi = {10.1109/CVPR42600.2020.01314},
    url = {http://hdl.handle.net/2268/241893},
    pdf = {https://orbi.uliege.be/bitstream/2268/241893/7/Cioppa2020AContextAware.pdf} 
    }
    


  3. 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.
    @inproceedings{Cioppa2020Multimodal,
    title = {Multimodal and multiview distillation for real-time player detection on a football field},
    author = {Cioppa, Anthony and Deli\`ege, Adrien and {Ul Huda}, Noor and Gade, Rikke and {Van Droogenbroeck}, Marc and Moeslund, Thomas B.},
    booktitle = {IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports},
    month = {June},
    year = {2020},
    pages = {3846-3855},
    address = {Seattle, Washington, USA},
    note = {Best CVSports paper award},
    keywords = {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},
    doi = {10.1109/CVPRW50498.2020.00448},
    url = {https://orbi.uliege.be/handle/2268/246668},
    pdf = {https://orbi.uliege.be/bitstream/2268/246668/4/Cioppa2020Multimodal.pdf} 
    }
    


  4. Anthony Cioppa, Marc Van Droogenbroeck, and Marc Braham. Real-Time Semantic Background Subtraction. In IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, pages 3214-3218, October 2020. Keyword(s): Background subtraction, Real time, Change detection, Semantic segmentation, Semantic background subtraction, DeepSport, CDNet 2014.
    @inproceedings{Cioppa2020RealTime,
    title = {Real-Time Semantic Background Subtraction},
    author = {Cioppa, Anthony and {Van Droogenbroeck}, Marc and Braham, Marc},
    booktitle = {IEEE International Conference on Image Processing (ICIP)},
    address = {Abu Dhabi, United Arab Emirates},
    pages = {3214-3218},
    month = {October},
    year = {2020},
    keywords = {Background subtraction, Real time, Change detection, Semantic segmentation, Semantic background subtraction, DeepSport, CDNet 2014},
    url = {http://hdl.handle.net/2268/247775},
    doi = {10.1109/ICIP40778.2020.9190838},
    pdf = {https://orbi.uliege.be/bitstream/2268/247775/1/Cioppa2020RealTime.pdf} 
    }
    


  5. G. Moncayo, I. Saadi, M. Van Droogenbroeck, and M. Cools. Using mobile phones to collect data including user feedback for the analysis of urban mobility. In Mobile Tartu, pages 1-8, June 2020. Keyword(s): Mobility, Transport.
    @inproceedings{Moncayo2020Using,
    title = {Using mobile phones to collect data including user feedback for the analysis of urban mobility},
    author = {G. Moncayo and I. Saadi and M. {Van Droogenbroeck} and M. Cools},
    booktitle = {Mobile Tartu},
    pages = {1-8},
    year = {2020},
    month = {June},
    keywords = {Mobility, Transport} 
    }
    


  6. Sébastien Piérard and Marc Van Droogenbroeck. Summarizing the performances of a background subtraction algorithm measured on several videos. In IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, pages 3234-3238, October 2020. Keyword(s): Background subtraction, Evaluation, Performance, Summarization, Change detection, Classification performance, CDNet 2014, DeepSport.
    @inproceedings{Pierard2020Summarizing,
    title = {Summarizing the performances of a background subtraction algorithm measured on several videos},
    author = {Pi\'erard, S\'ebastien and {Van Droogenbroeck}, Marc},
    booktitle = {IEEE International Conference on Image Processing (ICIP)},
    address = {Abu Dhabi, United Arab Emirates},
    pages = {3234-3238},
    month = {October},
    year = {2020},
    keywords = {Background subtraction, Evaluation, Performance, Summarization, Change detection, Classification performance, CDNet 2014, DeepSport},
    url = {http://hdl.handle.net/2268/247821},
    doi = {10.1109/ICIP40778.2020.9190865},
    pdf = {https://orbi.uliege.be/bitstream/2268/247821/1/Pierard2020Summarizing.pdf} 
    }
    


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.
    @mastersthesis{Vandeghen2020SemiSupervised,
    title = {Semi-supervised learning for object detection in satellite images},
    author = {Vandeghen, Renaud},
    month = {June},
    year = {2020},
    school = {University of Li{\`e}ge, Belgium},
    keywords = {Satellite imaging, Semi-supervised, Self training, Detection, Artificial intelligence, Machine learning, Deep learning},
    url = {http://hdl.handle.net/2268.2/9053} 
    }
    


  2. Marc Van Droogenbroeck, Marc Braham, and Anthony Cioppa. Foreground and background detection method. United States Patent and Trademark Office, US 10,706,558 B2, 26 pages, July 2020. Keyword(s): Background subtraction, Semantic segmentation, Patent, Machine learning, Deep learning, Artificial intelligence, DeepSport.
    @misc{Vandroogenbroeck2020Foreground-US-2,
    title = {Foreground and background detection method},
    author = {{Van Droogenbroeck}, Marc and Braham, Marc and Cioppa, Anthony},
    month = {July},
    year = {2020},
    howpublished = {United States Patent and Trademark Office, US 10,706,558 B2, 26 pages},
    keywords = {Background subtraction, Semantic segmentation, Patent, Machine learning, Deep learning, Artificial intelligence, DeepSport},
    url = {http://hdl.handle.net/2268/238274} 
    }
    


  3. Marc Van Droogenbroeck, Marc Braham, and Sébastien Piérard. Foreground and background detection method. European Patent Office, EP 3438929 B2, July 2020. Keyword(s): Background subtraction, Semantic segmentation, Patent, Machine learning, Deep learning, Artificial intelligence.
    @misc{Vandroogenbroeck2020Foreground,
    title = {Foreground and background detection method},
    author = {{Van Droogenbroeck}, Marc and Braham, Marc and Pi{\'e}rard, S{\'e}bastien},
    month = {July},
    year = {2020},
    howpublished = {European Patent Office, EP 3438929 B2},
    keywords = {Background subtraction, Semantic segmentation, Patent, Machine learning, Deep learning, Artificial intelligence},
    url = {https://orbi.uliege.be/handle/2268/225790},
    pdf = {https://orbi.uliege.be/bitstream/2268/225790/3/EP3438929B1.pdf} 
    }
    


  4. Marc Van Droogenbroeck, Marc Braham, and Sébastien Piérard. Foreground and background detection method. United States Patent and Trademark Office, US 10614736 B2, 16 pages, April 2020. Keyword(s): Background subtraction, Semantic segmentation, Patent, Machine learning, Deep learning, Artificial intelligence.
    @misc{Vandroogenbroeck2020Foreground-US,
    title = {Foreground and background detection method},
    author = {{Van Droogenbroeck}, Marc and Braham, Marc and Pi{\'e}rard, S{\'e}bastien},
    month = {April},
    year = {2020},
    howpublished = {United States Patent and Trademark Office, US 10614736 B2, 16 pages},
    keywords = {Background subtraction, Semantic segmentation, Patent, Machine learning, Deep learning, Artificial intelligence},
    url = {https://orbi.uliege.be/handle/2268/233090},
    pdf = {https://orbi.uliege.be/bitstream/2268/233090/3/US10614736B2.pdf} 
    }
    



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