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Publications of year 2019
Articles in journal or book chapters
  1. V. Pierlot and M. Van Droogenbroeck. Statistical analysis of modulated codes for robot positioning: application to BeAMS. TechRxiv, 11:1-55, 2019. Keyword(s): Angle, Angle measurement, Estimator, Mean, Variance, Probability density function, Mobile robot, Beacon, BeAMS, Code, Statistics, Positioning, Triangulation, Infrared signal, Code modulation, On-off keying.
    @article{Pierlot2019Statistical,
    title = {Statistical analysis of modulated codes for robot positioning: application to {BeAMS}},
    author = {V. Pierlot and M. {Van Droogenbroeck}},
    journal = {TechRxiv},
    year = {2019},
    volume = {11},
    pages = {1-55},
    keywords = {Angle, Angle measurement, Estimator, Mean, Variance, Probability density function, Mobile robot, Beacon, BeAMS, Code, Statistics, Positioning, Triangulation, Infrared signal, Code modulation, On-off keying},
    doi = {10.36227/techrxiv.10303526.v1},
    url = {http://doi.org/10.36227/techrxiv.10303526.v1} 
    }
    


Conference articles
  1. A. Cioppa, A. Deliège, M. Istasse, C. De Vlesschouwer, and M. 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.
    @inproceedings{Cioppa2019ARTHuS,
    title = {{ARTHuS}: Adaptive Real-Time Human Segmentation in Sports through Online Distillation},
    author = {A. Cioppa and A. Deli\`ege and M. Istasse and C. {De Vlesschouwer} and M. {Van Droogenbroeck}},
    booktitle = {IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports},
    pages = {2505-2514},
    month = {June},
    year = {2019},
    address = {Long Beach, California, USA},
    note = {Best CVSports paper award},
    doi = {10.1109/CVPRW.2019.00306},
    keywords = {Soccer, Semantic segmentation, Artificial intelligence, Machine learning, Deep learning, CNN, DeepSport},
    url = {http://hdl.handle.net/2268/234413},
    pdf = {https://orbi.uliege.be/bitstream/2268/234413/1/Cioppa2019ARTHuS.pdf} 
    }
    


  2. A. Deliège, A. Cioppa, and M. Van Droogenbroeck. An Effective Hit-or-Miss Layer Favoring Feature Interpretation as Learned Prototypes Deformations. In AAAI Conference on Artificial Intelligence, Workshop on Network Interpretability for Deep Learning, Honolulu, Hawaii, USA, pages 1-8, January 2019. Keyword(s): Deep learning, Machine learning, Artificial intelligence, Neural network, Classification, Capsule, HitNet, Hit-or-miss layer, Feature interpretation, Centripetal loss, Prototype, DeepSport.
    @inproceedings{Deliege2019AnEffective,
    title = {An Effective Hit-or-Miss Layer Favoring Feature Interpretation as Learned Prototypes Deformations},
    author = {A. Deli\`ege and A. Cioppa and M. {Van Droogenbroeck}},
    booktitle = {AAAI Conference on Artificial Intelligence, Workshop on Network Interpretability for Deep Learning},
    pages = {1-8},
    year = {2019},
    month = {January},
    address = {Honolulu, Hawaii, USA},
    keywords = {Deep learning, Machine learning, Artificial intelligence, Neural network, Classification, Capsule, HitNet, Hit-or-miss layer, Feature interpretation, Centripetal loss, Prototype, DeepSport},
    url = {http://www.telecom.ulg.ac.be/publi/publications/deliege/Deliege2019AnEffective/},
    url = {http://hdl.handle.net/2268/229746},
    pdf = {https://orbi.uliege.be/bitstream/2268/229746/1/Deliege2019AnEffective.pdf} 
    }
    


  3. A. Deliège, A. Kumar, M. Istasse, C. De Vlesschouwer, and M. Van Droogenbroeck. Ordinal Pooling. In British Machine Vision Conference (BMVC), Cardiff, Wales, pages 1-12, September 2019. Keyword(s): Deep learning, Machine learning, Pooling, Artificial intelligence, Neural network, Convolutional layer, CNN, DeepSport.
    @inproceedings{Deliege2019OrdinalPooling,
    title = {Ordinal Pooling},
    author = {A. Deli\`ege and A. Kumar and M. Istasse and C. {De Vlesschouwer} and M. {Van Droogenbroeck}},
    booktitle = {British Machine Vision Conference (BMVC)},
    pages = {1-12},
    year = {2019},
    month = {September},
    address = {Cardiff, Wales},
    keywords = {Deep learning, Machine learning, Pooling, Artificial intelligence, Neural network, Convolutional layer, CNN, DeepSport},
    url = {https://orbi.uliege.be/handle/2268/238475},
    pdf = {https://orbi.uliege.be/bitstream/2268/238475/1/Ordinal_Pooling.pdf} 
    }
    


  4. M. Fonder and M. Van Droogenbroeck. Mid-Air: A multi-modal dataset for extremely low altitude drone flights. In IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), UAVision, Long Beach, California, USA, pages 553-562, June 2019. Keyword(s): UAV, Dataset, Mid-Air, Positioning, Benchmark, Drone, Artificial Intelligence, Deep learning.
    @inproceedings{Fonder2019MidAir,
    title = {{Mid-Air}: A multi-modal dataset for extremely low altitude drone flights},
    author = {M. Fonder and M. {Van Droogenbroeck}},
    booktitle = {IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), UAVision},
    pages = {553-562},
    month = {June},
    year = {2019},
    address = {Long Beach, California, USA},
    keywords = {UAV, Dataset, Mid-Air, Positioning, Benchmark, Drone, Artificial Intelligence, Deep learning},
    doi = {10.1109/CVPRW.2019.00081},
    url = {https://ieeexplore.ieee.org/document/9025697},
    pdf = {https://orbi.uliege.be/bitstream/2268/234665/1/Fonder2019MidAir.pdf} 
    }
    


  5. P. Latour and M. Van Droogenbroeck. Dual Approaches for Elliptic Hough Transform: Eccentricity/Orientation vs Center based. In IAPR International Conference on Discrete Geometry for Computer Imagery (DGCI), Lecture Notes in Computer Science, pages 367-379, 2019. Keyword(s): Ellipse detection, Ellipse matching, Hough transform, Pencil of conics, Tangential equation.
    @inproceedings{Latour2018Dual,
    title = {Dual Approaches for Elliptic {H}ough Transform: Eccentricity/Orientation vs Center based},
    author = {P. Latour and M. {Van Droogenbroeck}},
    booktitle = {IAPR International Conference on Discrete Geometry for Computer Imagery (DGCI)},
    series = {Lecture Notes in Computer Science},
    year = {2019},
    pages = {367-379},
    keywords = {Ellipse detection, Ellipse matching, Hough transform, Pencil of conics, Tangential equation},
    doi = {10.1007/978-3-030-14085-4_29},
    url = {http://hdl.handle.net/2268/231074} 
    }
    


  6. G. Moncayo, I. Saadi, M. Van Droogenbroeck, and M. Cools. SmartGPS: An android app for collecting urban mobility data. In BIVEC/GIBET Transport Research Days, Ghent, Belgium, pages 1-10, May 2019. Keyword(s): Transport, GPS.
    @inproceedings{Moncayo2019SmartGPS,
    title = {Smart{GPS}: An android app for collecting urban mobility data},
    author = {G. Moncayo and I. Saadi and M. {Van Droogenbroeck} and M. Cools},
    booktitle = {BIVEC/GIBET Transport Research Days},
    pages = {1-10},
    year = {2019},
    month = {May},
    address = {Ghent, Belgium},
    keywords = {Transport, GPS} 
    }
    


Manuals, booklets
  1. M. Van Droogenbroeck, P. Latour, J.-M. Wagner, and V. Pierlot. Principes des télécommunications analogiques et numériques: manuel des répétitions. Manuel avec les énoncés des répétitions, Université de Liège, 2019. Keyword(s): Telecommunications, Notes de cours, Lecture notes, Exercices, ELEN008.
    @booklet{Vandroogenbroeck-Principes-exercices,
    year = {2019},
    author = {M. {Van Droogenbroeck} and P. Latour and J.-M. Wagner and V. Pierlot},
    title = {Principes des t\'el\'ecommunications analogiques et num\'eriques: manuel des r\'ep\'etitions},
    url = {http://hdl.handle.net/2268/233407},
    pdf = {https://orbi.uliege.be/bitstream/2268/233407/7/elen0008-repetitions.pdf},
    howpublished = {Manuel avec les \'enonc\'es des r\'ep\'etitions, Universit\'e de Li\`ege},
    keywords = {Telecommunications, Notes de cours, Lecture notes, Exercices, ELEN008} 
    }
    


  2. M. Van Droogenbroeck, J.-M. Wagner, V. Pierlot, and P. Latour. Analysis and Design of Telecommunications Systems: Manual of Exercises. Manuel avec les énoncés des répétitions, Université de Liège, 2019. Keyword(s): Telecommunications, Exercices, Lecture notes, ELEN017.
    @booklet{Vandroogenbroeck-Analysis-Manual,
    year = {2019},
    author = {M. {Van Droogenbroeck} and J.-M. Wagner and V. Pierlot and P. Latour},
    title = {Analysis and Design of Telecommunications Systems: Manual of Exercises},
    url = {http://hdl.handle.net/2268/239453},
    pdf = {https://orbi.uliege.be/bitstream/2268/239453/1/elen017-exercises.pdf},
    howpublished = {Manuel avec les \'enonc\'es des r\'ep\'etitions, Universit\'e de Li\`ege},
    keywords = {Telecommunications, Exercices, Lecture notes, ELEN017} 
    }
    


Miscellaneous
  1. M. Van Droogenbroeck, M. Braham, and S. Piérard. Foreground and background detection method. Chinese Patent Office, CN109389618A, February 2019. Keyword(s): Background subtraction, Semantic segmentation, Patent, Machine learning, Deep learning, Artificial intelligence.
    @misc{Vandroogenbroeck2019Foreground-CN,
    title = {Foreground and background detection method},
    author = {M. {Van Droogenbroeck} and M. Braham and S. Pi{\'e}rard},
    month = {February},
    year = {2019},
    howpublished = {Chinese Patent Office, CN109389618A},
    keywords = {Background subtraction, Semantic segmentation, Patent, Machine learning, Deep learning, Artificial intelligence},
    url = {http://hdl.handle.net/2268/235851} 
    }
    


  2. M. Van Droogenbroeck, A. Deliège, and A. Cioppa. Image classification using neural networks. World Intellectual Property Organization, WO 2019/238976, 55 pages, December 2019. Keyword(s): Patent, Machine learning, Deep learning, Artificial intelligence, HitNet, Capsule, Data augmentation, DeepSport.
    @misc{Vandroogenbroeck2019Image,
    title = {Image classification using neural networks},
    author = {M. {Van Droogenbroeck} and A. Deli\`ege and A. Cioppa},
    month = {December},
    year = {2019},
    howpublished = {World Intellectual Property Organization, WO 2019/238976, 55 pages},
    keywords = {Patent, Machine learning, Deep learning, Artificial intelligence, HitNet, Capsule, Data augmentation, DeepSport},
    url = {https://orbi.uliege.be/handle/2268/226179} 
    }
    



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Last modified: Tue Jul 14 12:42:55 2020