Philippe-Henri Gosselin

Full Professor at ENSEA, ETIS Lab., Cergy, France
Team : Midi, Office : D383
Address : ENSEA,
6 avenue du Ponceau, 95000 Cergy
Tel : +33 1 30 73 66 11, Fax : +33 1 30 73 66 27
Email : philippe-henri.gosselin@ensea.fr

Journals (22)

[PAMI16] P. Koniusz, F. Yan, P.H. Gosselin and K. Mikolajczyk. Higher-order Occurrence Pooling on Mid- and Low-level Features: Visual Concept Detection. In IEEE Trans. on Pattern Analysis and Machine Intelligence. Volume PP, Pages 1, March 2016. [pdf] [hal] [doi]
[IP15] A. Iscen, G. Tolias, P.H. Gosselin and H. Jegou. A comparison of dense region detectors for image search and fine-grained classification. In IEEE Transactions on Image Processing. Volume 24, Pages 2369 - 2381, August 2015. [pdf] [hal] [doi]
[SPM15] D. Picard, P.H. Gosselin and M.C. Gaspard. Challenges in Content Based Image Indexing of Cultural Heritage Collections. In IEEE Signal Processing Magazine. Volume 32, Pages 95 - 102, July 2015. [pdf] [hal] [doi]
[PR15] O. Kihl, D. Picard and P.H. Gosselin. A Unified framework for local visual descriptors. In Pattern Recognition. Volume 48, Pages 1170-1180, April 2015. [pdf] [hal] [doi]
[NC15] J. Fellus, D. Picard and P.H. Gosselin. Asynchronous Gossip Principal Components Analysis. In Neurocomputing. To appear in 2015. [pdf] [hal] [doi]
[MVA14] O. Kihl, D. Picard and P.H. Gosselin. Local polynomial space-time descriptors for actions classification. In Machine Vision and Application. Pages 1-11, December 2014. [pdf] [hal] [doi]
[JSTARS14] J. dos Santos, O. Penatti, P.H. Gosselin, A. Falcao, S. Philipp-Foliguet and R. Torres. Efficient and Effective Hierarchical Feature Propagation. In IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing. Volume 7, December 2014. [pdf] [hal] [doi]
[PRL14] P.H. Gosselin, N. Murray, H. Jegou and F. Perronnin. Revisiting the Fisher vector for fine-grained classification. In Pattern Recognition Letters. Volume 49, Pages 92-98, November 2014. [pdf] [hal] [doi]
[PRL14] V.F. Mota, E.A. Perez, M.B. Vieira, L.M. Maciel, F. Precioso and P.H. Gosselin. A tensor motion descriptor based on histograms of gradients and optical flow. In Pattern Recognition Letters. Volume 39, Pages 85-91, April 2014. [pdf] [hal] [doi]
[MTAP14] A. Lechervy, P.H. Gosselin and F. Precioso. Boosted kernel for image categorization. In Multimedia Tools and Applications. Volume 69, Pages 471-490, March 2014. [pdf] [hal] [doi]
[MM13] R. Negrel, D. Picard and P.H. Gosselin. Web scale image retrieval using compact tensor aggregation of visual descriptors. In IEEE Multimedia. Volume 20, Pages 24-33, 2013. [pdf] [hal] [doi] [code]
[CVIU13] D. Picard and P.H. Gosselin. Efficient image signatures and similarities using tensor products of local descriptors. In Computer Vision and Image Understanding. Volume 117, Pages 680–687, 2013. [pdf] [hal] [doi] [code]
[JSTARS13] J. Alex dos Santos, P.H. Gosselin, S. Philipp-Foliguet, R. da S. Torres and A.X. Falcao. Interactive Multiscale Classification of High-Resolution Remote Sensing Images. In IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing. Volume PP, Pages 1-15, 2013. [pdf] [hal] [doi]
[GRS12] J.A. dos Santos, P.H. Gosselin, S. Philipp-Foliguet, R. da S. Torres and A.X. Falcao. Multiscale Classification of Remote Sensing Images. In IEEE Transactions on Geoscience and Remote Sensing. Volume 50, Pages 3764-3775, 2012. [pdf] [hal] [doi]
[PR11] P.H. Gosselin, F. Precioso and S. Philipp-Foliguet. Incremental Kernel Learning for Active Image Retrieval without Global Dictionaries. In Pattern Recognition. Volume 44, Pages 2244--2254, 2011. [pdf] [hal] [doi]
[IVC11] Justine Lebrun, Philippe-Henri Gosselin and Sylvie Philipp-Foliguet. Inexact graph matching based on kernels for object retrieval in image databases. In Image and Vision Computing. Volume 29, Pages 716--729, 2011. [pdf] [hal] [doi]
[CVIU09] S. Philipp-Foliguet, J. Gony and P.H. Gosselin. FReBIR : an image retrieval system based on fuzzy region matching. In Computer Vision and Image Understanding. Volume 113, Pages 693--707, 2009. [pdf] [hal]
[IP08] P.H. Gosselin and M. Cord. Active learning methods for Interactive Image Retrieval. In IEEE Transactions on Image Processing. Volume 17, Pages 1200--1211, 2008. [pdf] [hal]
[CVIU08] P.H. Gosselin, M. Cord and S. Philipp-Foliguet. Combining visual dictionary, kernel-based similarity and learning strategy for image category retrieval. In Computer Vision and Image Understanding. Volume 110, Pages 403--417, 2008. [pdf] [hal]
[IVC07] M. Cord, P.H. Gosselin and S. Philipp-Foliguet. Stochastic exploration and active learning for image retrieval. In Image and Vision Computing. Volume 25, Pages 14--23, 2007. [pdf] [hal]
[JASP06] M. Cord, J. Fournier, P.H. Gosselin and S. Philipp-Foliguet. Interactive Exploration for Image Retrieval. In EURASIP Journal on Applied Signal Processing. Volume 14, Pages 2173--2186, 2006. [pdf] [hal]
[PR06] P.H. Gosselin and M. Cord. Feature based approach to semi-supervised similarity learning. In Pattern Recognition. Volume 39, Pages 1839--1851, 2006. [pdf] [hal]

International Conferences (43)

2016
[CBMI16] V.L. Nguyen, N.S. Vu and P.H. Gosselin. A Scattering Transform combination with Local Binary Pattern for Texture Classification. In International Workshop on Content-based Multimedia Indexing . Bucharest, Romania, June 2016. [pdf] [hal] [doi]
[ICPR16] V.L. Nguyen, N.S. Vu, H.-H. Phan and P.H. Gosselin. An Integrated Descriptor for Texture Classification. In IAPR International Conference on Pattern Recognition. Cancun, Mexico, 2016. [pdf]
2015
[ESANN15] J. Fellus, D. Picard and P.H. Gosselin. Asynchronous decentralized convex optimization through short-term gradient averaging. In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges, Belgium, April 2015. [pdf] [hal]
2014
[ICIP14] R. Negrel, D. Picard and P.H. Gosselin. Dimensionality Reduction Of Visual Features Using Sparse Projectors For Content-Based Image Retrieval. In IEEE International Conference on Image Processing. Paris, France, October 2014. [pdf] [hal]
[ICPR14] R. Negrel, D. Picard and P.H. Gosselin. Efficient Dimension Reduction Of Global Signature With Sparse Projectors For Image Near Duplicate Retrieval. In IAPR International Conference on Pattern Recognition. Stockholm, Sweden, August 2014. [pdf] [hal]
[CBMI14] R. Negrel, D. Picard and P.H. Gosselin. Evaluation of Second-order Visual Features for Land-Use Classification. In International Workshop on Content-based Multimedia Indexing . Klagenfurt, Austria, June 2014. [pdf] [hal]
[CVPR14] H. Tabia, H. Laga, D. Picard and P.H. Gosselin. Covariance Descriptors for 3D Shape Matching and Retrieval. In IEEE International Conference on Computer Vision and Pattern Recognition. Columbus, Ohio, USA, June 2014. [pdf] [hal]
[ESANN14] J. Fellus, D. Picard and P.H. Gosselin. Dimensionality reduction in decentralized networks by Gossip aggregation of principal components analyzers. In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges, Belgium, Pages 171-176, April 2014. [pdf] [hal]
2013
[KDCLOUD13] J. Fellus, D. Picard and P.H. Gosselin. Decentralized K-means using randomized Gossip protocols for clustering large datasets. In International Workshop on Knowledge Discovery Using Cloud and Distributed Computing Platforms (KDCLOUD). Dallas, Texas, USA, December 2013. [pdf] [hal]
[ACMM13] Jonathan Delhumeau, Philippe-Henri Gosselin, Herve Jegou and Patrick Perez. Revisiting the VLAD image representation. In ACM Multimedia. Barcelona, Spain, October 2013. [pdf] [hal]
[ICIP13] Mehdi Badr, Dan Vodislav, David Picard, Shaoyi Yin and Philippe-Henri Gosselin. Muti-criteria search algorithm: an efficient approximate kNN algorithm for image retrieval. In IEEE International Conference on Image Processing. Melbourne, Australia, Pages 2901-2905, September 2013. [pdf] [hal]
[ICIP13] O. Kihl, D. Picard and P.H. Gosselin. A unified formalism for video descriptors. In IEEE International Conference on Image Processing. Melbourne, Australia, Pages 2416-2419, September 2013. [pdf] [hal]
[ICIP13] Hedi Tabia, David Picard, Hamid Laga and Philippe Henri Gosselin. 3D Shape Similarity using Vectors of Locally Aggregated Tensors. In IEEE International Conference on Image Processing. Melbourne, Australia, Pages 2694-2698, September 2013. [pdf] [hal]
[BMVC13] Hedi Tabia, David Picard, Hamid Laga and Philippe-Henri Gosselin. Fast Approximation of Distance Between Elastic Curves using Kernels. In British Machine Vision Conference. Bristol, U.K., September 2013. [pdf] [hal]
[IGARSS13] J. dos Santos, O.A.B. Penatti, R. Torres, P.H. Gosselin, S. Philipp-Foliguet and A. X. Falcão. Remote Sensing Image Representation based on Hierarchical Histogram Propagation. In IEEE International Geoscience and Remote Sensing Symposium. Melbourne, Australia, July 2013. [pdf] [hal]
[ICASSP13] R. Benmokhtar, J. Delhumeau and P.H. Gosselin. Efficient Supervised Dimensionality Reduction for Image Categorization. In IEEE International Conference on Acoustics, Speech, and Signal Processing. Vancouver, Canada, May 2013. [pdf] [hal]
[ICMVA13] O. Kihl, D. Picard and P.H. Gosselin. Local polynomial space-time descriptors for actions classification. In IAPR International Conference on Machine Vision Applications. Kyoto, Japan, May 2013. [pdf] [hal]
[EGW13] Hedi Tabia, David Picard, Hamid Laga and Philippe-Henri Gosselin. Compact Vectors of Locally Aggregated Tensors for 3D shape retrieval. In Eurographics Workshop on 3D Object Retrieval. Girona, Spain, May 2013. [pdf] [hal]
2012
[ICPR12] R. Negrel, D. Picard and P.H. Gosselin. Using Spatial Pyramids with Compacted VLAT for Image Categorization. In IAPR International Conference on Pattern Recognition. Tsukuba Science City, Japan, November 2012. [pdf] [hal] [code]
[ICPR12] J.A. dos Santos, F.A. Faria, R. Torres, A. Rocha, P.H. Gosselin, S. Philipp-Foliguet and A.X. Falcao. Descriptor Correlation Analysis for Remote Sensing Image Multi-Scale Classification. In IAPR International Conference on Pattern Recognition. Tsukuba Science City, Japan, November 2012. [pdf] [hal]
[ICPR12] J.A. dos Santos, O. A. B. Penatti, R. da S. Torres, P.H. Gosselin, S. Philipp-Foliguet and A.X. Falcao. Improving Texture Description in Remote Sensing Image Multi-Scale Classification Tasks By Using Visual Words. In IAPR International Conference on Pattern Recognition. Tsukuba Science City, Japan, November 2012. [pdf] [hal]
[ICIP12] P.H. Gosselin. Online Kernel Learning for Interactive Retrieval in Dynamic Image Databases. In IEEE International Conference on Image Processing. Orlando, Florida, U.S.A, September 2012. [pdf] [hal]
[ICIP12] A. Lechervy, P.H. Gosselin and F. Precioso. Boosting Kernel Combination for multi-class image categorization. In IEEE International Conference on Image Processing. Orlando, Florida, U.S.A,, September 2012. [pdf] [hal]
[ICIP12] R. Negrel, D. Picard and P.H. Gosselin. Compact Tensor Based Image Representation for Similarity Search. In IEEE International Conference on Image Processing. Orlando, Florida, U.S.A, September 2012. [pdf] [hal] [code]
[SIBGRAPI12] V.F. Mota, E.A Perez, M.B. Vieira, L.M. Maciel, F. Precioso and P.H. Gosselin. A tensor based on optical flow for global description of motion in videos. In SIBGRAPI. Ouro Preto, Brazil, August 2012. [pdf] [hal]
[ESANN12] A. Lechervy, P.H. Gosselin and F. Precioso. Linear kernel combination using boosting. In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Brussels, Belgium, April 2012. [pdf] [hal]
2011
[ICIP11] D. Picard and P.H. Gosselin. Improving Image Similarity With Vectors of Locally Aggregated Tensors. In IEEE International Conference on Image Processing. Brussels, Belgique, September 2011. [pdf] [hal] [code]
2010
[ACMM10] Sylvie Philipp-Foliguet, Michel Jordan, Matthias Fuzier and Philippe Gosselin. Indexing of 3D Models Based on Graph of Surfacic Regions. In ACM Multimedia. Florence, Italy, October 2010. [hal]
[ICPR10] J.-E. Haugeard, S. Philipp-Foliguet and P.-H. Gosselin. Kernel on Graphs based on Dictionary of Paths for Image Retrieval. In IAPR International Conference on Pattern Recognition. Istanbul, Turkey, Pages 2965--2968, August 2010. [pdf] [hal]
[ICPR10] A. Lechervy, P.H. Gosselin and F. Precioso. Active Boosting for interactive object retrieval. In IAPR International Conference on Pattern Recognition. Istanbul, Turkey, August 2010. [pdf] [hal]
2008
[ICPR08] J. Lebrun, S. Philipp-Foliguet and P.H. Gosselin. Image retrieval with graph kernel on regions. In IAPR International Conference on Pattern Recognition. Tampa, Florida, USA, December 2008. [pdf] [hal]
2007
[ICIP07] P.H. Gosselin, M. Cord and S. Philipp-Foliguet. Kernel on Bags of Fuzzy Regions for fast object retrieval. In IEEE International Conference on Image Processing. San Antonio, Texas, USA, September 2007. [pdf] [hal]
[CIVR07] J. Gony, M. Cord, S. Philipp-Foliguet, P.H. Gosselin and M. Jordan. RETIN: a smart interactive digital media retrieval system. In ACM International Conference on Image and Video Retrieval. Amsterdam, Netherlands, Pages 93-96, July 2007. [pdf] [hal]
[CIVR07] P.-H. Gosselin, M. Cord and S. Philipp-Foliguet. Kernel on Bags for multi-object database retrieval. In ACM International Conference on Image and Video Retrieval. Amsterdam, Netherlands, Pages 226--231, July 2007. [pdf] [hal]
2006
[ICIP06] P.H. Gosselin and M. Cord. Image Retrieval using Long-Term Semantic Learning. In IEEE International Conference on Image Processing. Atlanta, GA, USA, October 2006. [pdf] [hal]
[ICIP06] P.H. Gosselin and M. Cord. Precision-Oriented Active Selection for Interactive Image Retrieval. In IEEE International Conference on Image Processing. Atlanta, GA, USA, Pages 3197--3200, October 2006. [pdf] [hal]
[ICME06] S. Philipp-Foliguet, G. Logerot, P. Constant, P.H. Gosselin and C. Lahanier. Multimedia Indexing and Fast Retrieval Based on a Vote System. In IEEE International Conference on Multimedia and Expo. Toronto, Ontario, Canada, July 2006. [pdf] [hal]
2005
[ICIP05] P.H. Gosselin and M. Cord. Semantic kernel learning for interactive image retrieval. In IEEE International Conference on Image Processing. Genova, Italy, September 2005. [pdf] [hal]
[MLMM05] P.H. Gosselin and M. Cord. Active learning techniques for user interactive systems: application to image retrieval. In International Workshop on Machine Learning for MultiMedia (In conjonction with ICML). Bonn, Germany, August 2005. [pdf] [hal]
2004
[MCBAR04] P.H. Gosselin and M. Cord. Semantic Kernel Updating for Content-Based Image Retrieval. In IEEE International Workshop on Multimedia Content-based Analysis and Retrieval. Miami, Florida, USA, December 2004. [pdf] [hal]
[ICIP04] P.H. Gosselin and M. Cord. RETIN AL: An Active Learning Strategy for Image Category Retrieval. In IEEE International Conference on Image Processing. Singapore, Volume 4, Pages 2219--2222, October 2004. [pdf] [hal]
[ACIVS04] P.H. Gosselin, Micheline Najjar, M. Cord and Christophe Ambroise. Discriminative Classification vs Modeling Methods in CBIR. In IEEE Advanced Concepts for Intelligent Vision Systems. Brussel, Belgium, September 2004. [pdf] [hal]
[CVDB04] P.H. Gosselin and M. Cord. A Comparison of Active Classification Methods for Content-Based Image Retrieval. In International Workshop on Computer Vision meets Databases (CVDB), ACM Sigmod. Paris, France, June 2004. [pdf] [hal]

Technical Reports (2)

2013
[FGCOMP13] P.H. Gosselin, N. Murray, H. Jegou and F. Perronnin. Inria+Xerox@FGcomp: Boosting the Fisher vector for fine-grained classification. 2013. [pdf] [hal]
[TR13] P. Koniusz, F. Yan, P.H. Gosselin and K. Mikolajczyk. Higher-order Occurrence Pooling on Mid- and Low-level Features: Visual Concept Detection. 2013. [pdf] [hal]

French Journals (1)

[TS15] J. Fellus, D. Picard and P.H. Gosselin. Indexation multimédia par dictionnaires visuels en environnement décentralisé : Une approche par protocoles Gossip. In Traitement du Signal. Volume 32, Pages 37-62, April 2015. [pdf]

French Conferences (7)

[GRETSI15] D. Picard and P.H. Gosselin. Évaluation de descripteurs visuels pour l’annotation automatique d’images patrimoniales. In GRETSI. September 2015. [pdf] [hal]
[ORASIS13] J. Fellus, D. Picard and P.H. Gosselin. Calcul décentralisé de dictionnaires visuels pour l’indexation multimédia dans les bases de données réparties sur les réseaux. In ORASIS. Cluny, France, 2013. [pdf] [hal]
[RFIA12] R. Negrel, V. Fernandes, P.H. Gosselin, M. Vieira and F. Precioso. Indexation des Bases Vidéos à l'aide d'une Modélisation du Flot Optique par Bases de Polynômes. In Reconnaissance des Formes et Intelligence Artificielle. Lyon, France, Juanary 2012. [pdf] [hal]
[RFIA10] A. Lechervy, P.H. Gosselin and F. Precioso. Boosting actif pour la recherche interactive d'images. In Reconnaissance des Formes et Intelligence Artificielle. Caen, France, Juanary 2010. [pdf] [hal]
[EGC08] P.H. Gosselin, J. Lebrun and S. Philipp-Foliguet. Recherche d'images par noyaux sur graphes de régions. In Extraction et Gestion des Connaissances. INRIA Sophia Antipolis, France, Juanary 2008. [pdf] [hal]
[CAP05] P.H. Gosselin and M. Cord. Méthodes d'apprentissage statistiques: application à la recherche d'images. In Conf\'erence sur l'Apprentissage. Nice, France, June 2005. [pdf] [hal]
[RFIA04] P.H. Gosselin, Micheline Najjar, M. Cord, Christophe Ambroise and Sylvie Philipp-Foliguet. Méthodes d'Apprentissage pour la Recherche d'Images par le Contenu. In Reconnaissance des Formes et Intelligence Artificielle. Toulouse, France, Juanary 2004. [pdf] [hal]

Thesis (2)

[HDR11] P.H. Gosselin. Apprentissage interactif et collaboratif pour la recherche dans les bases multimédia. In Université de Cergy-Pontoise. November 2011. [pdf] [hal]
[PHD05] P.H. Gosselin. Méthodes d'apprentissage pour la recherche de catégories dans des bases d'images. In Université de Cergy-Pontoise. December 2005. [pdf] [hal]

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