1. Carlos Gomez Gonzalez, Olivier Absil, Pierre-antoine Absil, Marc Van Droogenbroeck, Dimitri Mawet, and Jean Surdej. Low-rank plus sparse decomposition for exoplanet detection in direct imaging ADI sequences: The LLSG algorithm. Astronomy & Astrophysics, 589(A54):1-9, May 2016. Keyword(s): VORTEX project, High angular resolution, Image processing, Detection of planets, Sparse decomposition, Detection, Planets and satellites.
   

   @article{Gomez2016LowRank,
   title = {Low-rank plus sparse decomposition for exoplanet detection in direct imaging {ADI} sequences: {T}he {LLSG} algorithm},
   author = {Gomez Gonzalez, Carlos and Absil, Olivier and Absil, Pierre-antoine and Van Droogenbroeck, Marc and Mawet, Dimitri and Surdej, Jean},
   journal = {Astronomy \& Astrophysics},
   volume = {589},
   number = {A54},
   year = {2016},
   month = {May},
   pages = {1-9},
   doi = {10.1051/0004-6361/201527387},
   url = {http://hdl.handle.net/2268/196090},
   pdf = {http://www.aanda.org/articles/aa/pdf/2016/05/aa27387-15.pdf},
   keywords = {VORTEX project, High angular resolution, Image processing, Detection of planets, Sparse decomposition, Detection, Planets and satellites} 
   }
   




2. Sébastien Piérard, Antoine Lejeune, and Marc Van Droogenbroeck. Boosting Shape Classifiers Accuracy by Considering the Inverse Shape. Journal of Pattern Recognition Research, 11(1):41-54, 2016. Keyword(s): Shape descriptor, Inverse shape, Object classification, Cover by rectangles, Zernike moments.
   

   @article{Pierard2016Boosting,
   title = {Boosting Shape Classifiers Accuracy by Considering the Inverse Shape},
   author = {Pi\'erard, S\'ebastien and Lejeune, Antoine and {Van Droogenbroeck}, Marc},
   journal = {Journal of Pattern Recognition Research},
   volume = {11},
   number = {1},
   pages = {41-54},
   year = {2016},
   keywords = {Shape descriptor, Inverse shape, Object classification, Cover by rectangles, Zernike moments},
   doi = {10.13176/11.727},
   pdf = {http://orbi.ulg.ac.be/bitstream/2268/198724/1/Pierard2016Boosting.pdf},
   url = {http://hdl.handle.net/2268/198724} 
   }
   

1. Samir Azrour, Sébastien Piérard, and Marc Van Droogenbroeck. Improving pose estimation by building dedicated datasets and using orientation. In IET Workshop on Human Motion Analysis for Healthcare Applications, London, United Kingdom, May 2016. Keyword(s): Pose estimation, Human, Depth camera, 3D camera, Orientation.
   

   @inproceedings{Azrour2016Improving,
   title = {Improving pose estimation by building dedicated datasets and using orientation},
   author = {Azrour, Samir and Pi{\'e}rard, S{\'e}bastien and {Van Droogenbroeck}, Marc},
   booktitle = {IET Workshop on Human Motion Analysis for Healthcare Applications},
   year = {2016},
   month = May,
   address = {London, United Kingdom},
   keywords = {Pose estimation, Human, Depth camera, 3D camera, Orientation},
   url = {http://hdl.handle.net/2268/195889},
   pdf = {http://orbi.ulg.ac.be/bitstream/2268/195889/1/Azrour2016Improving_poster.pdf} 
   }
   




2. Samir Azrour, Sébastien Piérard, and Marc Van Droogenbroeck. Leveraging orientation knowledge to enhance human pose estimation methods. In Articulated Motion and Deformable Objects AMDO, volume 9756 of Lecture Notes in Computer Science, Palma, Mallorca, Spain, pages 81-87, 2016. Springer. Keyword(s): Human pose estimation, Orientation, 3D, Machine learning.
   

   @inproceedings{Samir2016Leveraging,
   title = {Leveraging orientation knowledge to enhance human pose estimation methods},
   author = {Azrour, Samir and Pi{\'e}rard, S{\'e}bastien and {Van Droogenbroeck}, Marc},
   booktitle = {Articulated Motion and Deformable Objects AMDO},
   series = {Lecture Notes in Computer Science},
   volume = {9756},
   pages = {81-87},
   year = {2016},
   publisher = {Springer},
   address = {Palma, Mallorca, Spain},
   keywords = {Human pose estimation, Orientation, 3D, Machine learning},
   doi = {10.1007/978-3-319-41778-3_8},
   url = {http://hdl.handle.net/2268/196680},
   pdf = {http://orbi.ulg.ac.be/bitstream/2268/196680/1/Azrour2016Leveraging.pdf} 
   }
   




3. Marc Braham and Marc Van Droogenbroeck. Deep Background Subtraction with Scene-Specific Convolutional Neural Networks. In International Conference on Systems, Signals and Image Processing (IWSSIP), Bratislava, Slovakia, pages 1-4, May 2016. Keyword(s): Background subtraction, Deep learning, Machine learning, CDNet, Change detection, CDNet 2014.
   

   @inproceedings{Braham2016Deep,
   title = {Deep Background Subtraction with Scene-Specific Convolutional Neural Networks},
   author = {Braham, Marc and {Van Droogenbroeck}, Marc},
   booktitle = {International Conference on Systems, Signals and Image Processing (IWSSIP)},
   year = {2016},
   month = {May},
   pages = {1-4},
   address = {Bratislava, Slovakia},
   url = {http://www.telecom.ulg.ac.be/publi/publications/braham/Braham2016Deep/index.html},
   doi = {10.1109/IWSSIP.2016.7502717},
   pdf = {http://orbi.ulg.ac.be/bitstream/2268/195180/1/Braham2016Deep.pdf},
   keywords = {Background subtraction, Deep learning, Machine learning, CDNet, Change detection, CDNet 2014} 
   }
   




4. Benjamin Laugraud, Sébastien Piérard, and Marc Van Droogenbroeck. LaBGen-P: A Pixel-Level Stationary Background Generation Method Based on LaBGen. In International Conference on Pattern Recognition (ICPR), Scene Background Modeling Contest (SBMC), Cancun, Mexico, December 2016. Note: Source code in C++ available, see http://www.telecom.ulg.ac.be/labgen. Keyword(s): Background generation, Background modelling, Background image, Source code, LaBGen, Background estimation, Initialization, SBMnet, SBMC, Motion detection, LaBGen.
   

   @inproceedings{Laugraud2016LaBGen-P,
   title = {{LaBGen-P}: A Pixel-Level Stationary Background Generation Method Based on {LaBGen}},
   author = {Laugraud, Benjamin and Pi{\'e}rard, S\'ebastien and {Van Droogenbroeck}, Marc},
   booktitle = {International Conference on Pattern Recognition (ICPR), Scene Background Modeling Contest (SBMC)},
   address = {Cancun, Mexico},
   month = {December},
   year = {2016},
   note = {source code in C++ available, see http://www.telecom.ulg.ac.be/labgen},
   keywords = {Background generation, Background modelling, Background image, Source code, LaBGen, Background estimation, Initialization, SBMnet, SBMC, Motion detection, LaBGen},
   doi = {10.1109/ICPR.2016.7899617},
   pdf = {http://orbi.ulg.ac.be/bitstream/2268/201146/1/Laugraud2016LaBGen-P.pdf},
   url = {http://hdl.handle.net/2268/201146} 
   }
   




5. Julien Osmalskyj, Marc Van Droogenbroeck, and Jean-Jacques Embrechts. Enhancing Cover Song Identification with Hierarchical Rank Aggregation. In International Society for Music Information Retrieval Conference (ISMIR), New York City, USA, pages 136-142, August 2016. Keyword(s): Music information retrieval, Cover song identification, Rank aggregation.
   

   @inproceedings{Osmalskyj2016Enhancing,
   title = {Enhancing Cover Song Identification with Hierarchical Rank Aggregation},
   author = {Osmalskyj, Julien and {Van Droogenbroeck}, Marc and Embrechts, Jean-Jacques},
   booktitle = {International Society for Music Information Retrieval Conference (ISMIR)},
   month = {August},
   pages = {136-142},
   year = {2016},
   address = {New York City, USA},
   keywords = {Music information retrieval, Cover song identification, Rank aggregation},
   url = {http://hdl.handle.net/2268/196764} 
   }
   




6. Sébastien Piérard, Samir Azrour, and Marc Van Droogenbroeck. Slicing the 3D space into planes for the fast interpretation of human motion. In IET Workshop on Human Motion Analysis for Healthcare Applications, London, United Kingdom, May 2016. Keyword(s): Human, Motion, Gait analysis, GAIMS.
   

   @inproceedings{Pierard2016Slicing,
   title = {Slicing the {3D} space into planes for the fast interpretation of human motion},
   author = {Pi\'erard, S\'ebastien and Azrour, Samir and {Van Droogenbroeck}, Marc},
   booktitle = {IET Workshop on Human Motion Analysis for Healthcare Applications},
   year = {2016},
   month = May,
   address = {London, United Kingdom},
   keywords = {Human, Motion, Gait analysis, GAIMS},
   pdf = {http://orbi.ulg.ac.be/bitstream/2268/195890/1/Pierard2016Slicing-poster.pdf},
   url = {http://hdl.handle.net/2268/195890} 
   }
   




7. Sébastien Piérard and Marc Van Droogenbroeck. What are the optimal walking tests to assess disability progression?. In European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), London, UK, September 2016. Keyword(s): GAIMS, Gait analysis, Multiple sclerosis.
   

   @inproceedings{Pierard2016What,
   title = {What are the optimal walking tests to assess disability progression?},
   author = {Pi\'erard, S\'ebastien and {Van Droogenbroeck}, Marc},
   booktitle = {European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS)},
   year = {2016},
   month = {September},
   address = {London, UK},
   keywords = {GAIMS, Gait analysis, Multiple sclerosis},
   url = {http://hdl.handle.net/2268/198952},
   pdf = {http://orbi.ulg.ac.be/bitstream/2268/198952/1/Pierard2016WhatAre_poster.pdf} 
   }
   

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All person copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.