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Publications of year 2018
Articles in journal or book chapters
  1. A. Deliège, A. Cioppa, and M. Van Droogenbroeck. HitNet: a neural network with capsules embedded in a Hit-or-Miss layer, extended with hybrid data augmentation and ghost capsules. ArXiv, abs/1806.06519, June 2018. Keyword(s): Neural network, Deep learning, Machine learning, Artificial intelligence, Hit-or-Miss layer, Capsule, Ghost capsule, NMISTi, DeepSport.
    @article{Deliege2018HitNet,
    title = {{HitNet}: a neural network with capsules embedded in a {Hit-or-Miss} layer, extended with hybrid data augmentation and ghost capsules},
    author = {A. Deli\`ege and A. Cioppa and M. {Van Droogenbroeck}},
    journal = {ArXiv},
    month = {June},
    year = {2018},
    volume = {abs/1806.06519},
    keywords = {Neural network, Deep learning, Machine learning, Artificial intelligence, Hit-or-Miss layer, Capsule, Ghost capsule, NMISTi, DeepSport},
    url = {https://arxiv.org/abs/1806.06519},
    url = {http://www.telecom.ulg.ac.be/publi/publications/adrien/Deliege2018HitNet/},
    pdf = {https://arxiv.org/abs/1806.06519.pdf},
    
    }
    


  2. C. Gomez Gonzalez, O. Absil, and M. Van Droogenbroeck. Supervised detection of exoplanets in high-contrast imaging sequences. Astronomy & Astrophysics, 613:1-13, May 2018. Keyword(s): Deep learning, SODINN, VORTEX project, High angular resolution, Image processing, Detection of planets, Sparse decomposition, Detection, Planets and satellites.
    @article{Gomez2018Supervised,
    title = {Supervised detection of exoplanets in high-contrast imaging sequences},
    author = {C. {Gomez Gonzalez} and O. Absil and M. {Van Droogenbroeck}},
    journal = {Astronomy \& Astrophysics},
    volume = {613},
    month = {May},
    pages = {1-13},
    year = {2018},
    keywords = {Deep learning, SODINN, VORTEX project, High angular resolution, Image processing, Detection of planets, Sparse decomposition, Detection, Planets and satellites},
    doi = {10.1051/0004-6361/201731961},
    url = {http://hdl.handle.net/2268/217926},
    pdf = {http://orbi.ulg.ac.be/bitstream/2268/217926/1/Gomez2018Supervised.pdf} 
    }
    


  3. B. Laugraud, S. Piérard, and M. Van Droogenbroeck. LaBGen-P-Semantic: A First Step for Leveraging Semantic Segmentation in Background Generation. Journal of Imaging, 4(7):86, June 2018. Keyword(s): Background generation, Background initialization, LaBGen, Semantics.
    @article{Laugraud2018LaBGen-P-Semantic,
    title = {{LaBGen-P-Semantic}: A First Step for Leveraging Semantic Segmentation in Background Generation},
    author = {B. Laugraud and S. Pi{\'e}rard and M. {Van Droogenbroeck}},
    journal = {Journal of Imaging},
    publisher = {MDPI},
    volume = {4},
    number = {7},
    pages = {1-22},
    year = {2018},
    pages = {86},
    month = {Jun},
    keywords = {Background generation, Background initialization, LaBGen, Semantics},
    doi = {10.3390/jimaging4070086},
    url = {http://dx.doi.org/10.3390/jimaging4070086},
    pdf = {https://orbi.uliege.be/bitstream/2268/225850/1/Laugraud2018LaBGen-P-Semantic.pdf} 
    }
    


  4. A. Lejeune, J. Verly, and M. Van Droogenbroeck. Probabilistic Framework for the Characterization of Surfaces and Edges in Range Images, with Application to Edge Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(9):2209-2222, September 2018. Keyword(s): 3D, Range, Depth, Time-of-Flight, Probability density function, Edge detection, Surface, Kinect, Probabilistic framework.
    @article{Lejeune2018Probabilistic,
    title = {Probabilistic Framework for the Characterization of Surfaces and Edges in Range Images, with Application to Edge Detection},
    author = {A. Lejeune and J. Verly and M. {Van Droogenbroeck}},
    journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
    volume = {40},
    number = {9},
    pages = {2209-2222},
    month = {September},
    year = {2018},
    keywords = {3D, Range, Depth, Time-of-Flight, Probability density function, Edge detection, Surface, Kinect, Probabilistic framework},
    doi = {10.1109/TPAMI.2017.2746618},
    url = {http://hdl.handle.net/2268/213937},
    pdf = {http://orbi.ulg.ac.be/bitstream/2268/213937/1/Lejeune2017Probabilistic.pdf} 
    }
    


  5. Q. Massoz, J. Verly, and M. Van Droogenbroeck. Multi-timescale drowsiness characterization based on a video of a driver's face. Sensors, 18(9):1-17, August 2018. Keyword(s): Drowsiness, Driver monitoring, Face, Eye closure, Pyschomotor vigilance test, Reaction time, CNN, Deep learning.
    @article{Massoz2018MultiTimescale,
    title = {Multi-timescale drowsiness characterization based on a video of a driver's face},
    author = {Q. Massoz and J. Verly and M. {Van Droogenbroeck}},
    journal = {Sensors},
    volume = {18},
    number = {9},
    pages = {1-17},
    month = {August},
    year = {2018},
    keywords = {Drowsiness, Driver monitoring, Face, Eye closure, Pyschomotor vigilance test, Reaction time, CNN, Deep learning},
    doi = {10.3390/s18092801},
    url = {http://hdl.handle.net/2268/227258},
    pdf = {https://orbi.uliege.be/bitstream/2268/227258/2/Massoz2018MultiTimescale.pdf} 
    }
    


Conference articles
  1. A. Cioppa, A. Deliège, and M. Van Droogenbroeck. A bottom-up approach based on semantics for the interpretation of the main camera stream in soccer games. In IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports, Salt Lake City, Utah, USA, pages 1846-1855, June 2018. Note: Best CVSports paper award. Keyword(s): Soccer, Semantic segmentation, Artificial intelligence, Deep learning, Machine learning, CNN, DeepSport.
    @inproceedings{Cioppa2018ABottomUp,
    title = {A bottom-up approach based on semantics for the interpretation of the main camera stream in soccer games},
    author = {A. Cioppa and A. Deli\`ege and M. {Van Droogenbroeck}},
    booktitle = {IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports},
    month = {June},
    year = {2018},
    pages = {1846-1855},
    address = {Salt Lake City, Utah, USA},
    note = {Best CVSports paper award},
    doi = {10.1109/CVPRW.2018.00229},
    url = {http://hdl.handle.net/2268/222427},
    url = {http://www.telecom.ulg.ac.be/publi/publications/anthony/Anthony2018ABottomUp/index.html},
    keywords = {Soccer, Semantic segmentation, Artificial intelligence, Deep learning, Machine learning, CNN, DeepSport} 
    }
    


Miscellaneous
  1. M. Van Droogenbroeck, A. Deliège, and A. Cioppa. Image classification using neural networks. European Patent Office, EP 3 582 142 A1, 32 pages, June 2018. Keyword(s): Patent, Machine learning, Deep learning, Artificial intelligence, HitNet, Capsule, Data augmentation, DeepSport.
    @misc{Vandroogenbroeck2018Image,
    title = {Image classification using neural networks},
    author = {M. {Van Droogenbroeck} and A. Deli\`ege and A. Cioppa},
    month = {June},
    year = {2018},
    howpublished = {European Patent Office, EP 3 582 142 A1, 32 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