| 2020 | IJCNN | Deep Learning and Domain Transfer for Orca Vocalization Detection. | Paul Best, Maxence Ferrari, Marion Poupard, Sbastien Paris, Ricard Marxer, Helena Symonds, Paul Spong, Herv Glotin |
| 2016 | WACV | Learning deep-sea substrate types with visual topic models. | Arnold Kalmbach, Maia Hoeberechts, Alexandra Branzan Albu, Herv Glotin, Sbastien Paris, Yogesh A. Girdhar |
| 2015 | ICDM | Sparse Coding for Efficient Bioacoustic Data Mining: Preliminary Application to Analysis of Whale Songs. | Joseph Razik, Herv Glotin, Maia Hoeberechts, Yann Doh, Sbastien Paris |
| 2013 | AVSS | A proposal of a solution for age band prediction from human faces. | Yannick Lufimpu-Luviya, Djamel Merad, Sbastien Paris, Bernard Fertil |
| 2013 | ICPRAM | Efficient Bag of Scenes Analysis for Image Categorization. | Sbastien Paris, Xanadu Halkias, Herv Glotin |
| 2013 | ICPRAM | Beyond SIFT for Image Categorization by Bag-of-Scenes Analysis. | Sbastien Paris, Xanadu Halkias, Herv Glotin |
| 2012 | ICPR | Sparse coding for histograms of local binary patterns applied for image categorization: Toward a Bag-of-Scenes analysis. | Sbastien Paris, Xanadu Halkias, Herv Glotin |
| 2012 | ICPRAM | Broadcast News Phoneme Recognition by Sparse Coding. | Joseph Razik, Sbastien Paris, Herv Glotin |
| 2011 | FUSION | On the probability distribution of a moving target. Asymptotic and non-asymptotic results. | Mathieu Chouchane, Sbastien Paris, Franois Le Gland, Christian Musso, Dinh-Tuan Pham |
| 2010 | ICPR | Pyramidal Multi-level Features for the Robot Vision@ICPR 2010 Challenge. | Sbastien Paris, Herv Glotin |
| 2009 | MIG | CA-LOD: Collision Avoidance Level of Detail for Scalable, Controllable Crowds. | Sbastien Paris, Anton Gerdelan, Carol O'Sullivan |
| 2008 | MIG | Towards Embodied and Situated Virtual Humans. | Stphane Donikian, Sbastien Paris |
| 2007 | ICANN | Improving the GRLVQ Algorithm by the Cross Entropy Method. | Abderrahmane Boubezoul, Sbastien Paris, Mustapha Ouladsine |