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Publications of year 2020
Thesis
  1. B. 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 = {B. Laugraud},
    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. A. Cioppa, M. Braham, and M. Van Droogenbroeck. Asynchronous semantic background subtraction. Journal of Imaging, 6(50):1-20, June 2020. Keyword(s): Background subtraction.
    @article{Cioppa2020Asynchronous,
    title = {Asynchronous semantic background subtraction},
    author = {A. Cioppa and M. Braham and M. {Van Droogenbroeck}},
    journal = {Journal of Imaging},
    volume = {6},
    number = {50},
    year = {2020},
    month = Jun,
    pages = {1-20},
    keywords = {Background subtraction},
    doi = {10.3390/jimaging6060050},
    url = {https://doi.org/10.3390/jimaging6060050} 
    }
    


  2. A. Deliège, A. Cioppa, and M. 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 = {A. Deli\`ege and A. Cioppa and M. {Van Droogenbroeck}},
    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. A. Cioppa, A. Deliège, S. Giancola, B. Ghanem, M. Van Droogenbroeck, R. Gade, and T. 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, 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 = {A. Cioppa and A. Deli\`ege and S. Giancola and B. Ghanem and M. {Van Droogenbroeck} and R. Gade and T. Moeslund},
    booktitle = {IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)},
    month = {June},
    year = {2020},
    address = {Seattle, Washington, USA},
    keywords = {Action spotting, Artificial Intelligence, Soccer, Deep learning, Loss, DeepSport},
    url = {http://hdl.handle.net/2268/241893},
    pdf = {https://orbi.uliege.be/bitstream/2268/241893/7/Cioppa2020AContextAware.pdf} 
    }
    


  2. A. Cioppa, A. Deliège, N. Ul Huda, R. Gade, M. Van Droogenbroeck, and T. 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, 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.
    @inproceedings{Cioppa2020Multimodal,
    title = {Multimodal and multiview distillation for real-time player detection on a football field},
    author = {A. Cioppa and A. Deli\`ege and N. {Ul Huda} and R. Gade and M. {Van Droogenbroeck} and T. Moeslund},
    booktitle = {IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports},
    month = {June},
    year = {2020},
    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},
    url = {https://orbi.uliege.be/handle/2268/246668},
    pdf = {https://orbi.uliege.be/bitstream/2268/246668/4/Cioppa2020Multimodal.pdf} 
    }
    


  3. A. Cioppa, M. Van Droogenbroeck, and M. Braham. Real-Time Semantic Background Subtraction. In IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, 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 = {A. Cioppa and M. {Van Droogenbroeck} and M. Braham},
    booktitle = {IEEE International Conference on Image Processing (ICIP)},
    address = {Abu Dhabi, United Arab Emirates},
    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},
    pdf = {https://orbi.uliege.be/bitstream/2268/247775/1/Cioppa2020RealTime.pdf} 
    }
    


  4. 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): Mobilityi, 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 = {Mobilityi, Transport} 
    }
    


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


Miscellaneous
  1. M. Van Droogenbroeck, M. Braham, and A. 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 = {M. {Van Droogenbroeck} and M. Braham and A. Cioppa},
    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} 
    }
    


  2. M. Van Droogenbroeck, M. Braham, and S. 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 = {M. {Van Droogenbroeck} and M. Braham and S. Pi{\'e}rard},
    month = {July},
    year = {2020},
    howpublished = {European Patent Office, EP 3438929 B2},
    orbi = {https://orbi.uliege.be/handle/2268/225790},
    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} 
    }
    


  3. M. Van Droogenbroeck, M. Braham, and S. 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 = {M. {Van Droogenbroeck} and M. Braham and S. Pi{\'e}rard},
    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: Tue Jul 14 12:42:55 2020