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Number of documents

80

Philippe-Henri Gosselin


Journal articles21 documents

  • Vu-Lam Nguyen, Ngoc-Son Vu, Hai-Hong Phan, Philippe-Henri Gosselin. LBP-and-ScatNet-based Combined Features For Efficient Texture Classification. Multimedia Tools and Applications, Springer Verlag, In press, ⟨10.1007/s11042-017-4824-5⟩. ⟨hal-01593393⟩
  • Piotr Koniusz, Fei Yan, Philippe-Henri Gosselin, Krystian Mikolajczyk. Higher-order Occurrence Pooling for Bags-of-Words: Visual Concept Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2016, ⟨10.1109/TPAMI.2016.2545667⟩. ⟨hal-01356149⟩
  • David Picard, Philippe-Henri Gosselin, Marie-Claude Gaspard. Challenges in Content-Based Image Indexing of Cultural Heritage Collections. IEEE Signal Processing Magazine, Institute of Electrical and Electronics Engineers, 2015, 32 (4), pp.95 - 102. ⟨10.1109/MSP.2015.2409557⟩. ⟨hal-01164409⟩
  • Jerome Fellus, David Picard, Philippe-Henri Gosselin. Asynchronous gossip principal components analysis. Neurocomputing, Elsevier, 2015, pp.0. ⟨10.1016/j.neucom.2014.11.076⟩. ⟨hal-01148639⟩
  • Ahmet Iscen, Giorgos Tolias, Philippe-Henri Gosselin, Hervé Jégou. A comparison of dense region detectors for image search and fine-grained classification. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2015, pp.00. ⟨10.1109/TIP.2015.2423557⟩. ⟨hal-01143201⟩
  • Olivier Kihl, David Picard, Philippe-Henri Gosselin. A Unified framework for local visual descriptors evaluation. Pattern Recognition, Elsevier, 2015, 48, pp.1170-1180. ⟨10.1016/j.patcog.2014.11.013⟩. ⟨hal-01089310⟩
  • Jefersson dos Santos, Otavio Penatti, Philippe-Henri Gosselin, Alexandre Falcão, Sylvie Philipp-Foliguet, et al.. Efficient and Effective Hierarchical Feature Propagation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, 2014, ⟨10.1109/JSTARS.2014.2341175⟩. ⟨hal-01079612⟩
  • Philippe-Henri Gosselin, Naila Murray, Hervé Jégou, Florent Perronnin. Revisiting the Fisher vector for fine-grained classification. Pattern Recognition Letters, Elsevier, 2014, 49, pp.92-98. ⟨hal-01056223⟩
  • Virginia Fernandes Mota, Eder de Almeida Perez, Silva Maciel Luiz Maurílio Da, Marcelo Bernardes Vieira, Philippe-Henri Gosselin. A tensor motion descriptor based on histograms of gradients and optical flow. Pattern Recognition Letters, Elsevier, 2014, 39, pp.85-91. ⟨10.1016/j.patrec.2013.08.008⟩. ⟨hal-00861395⟩
  • Olivier Kihl, David Picard, Philippe-Henri Gosselin. Local polynomial space–time descriptors for action classification. Machine Vision and Applications, Springer Verlag, 2014, pp.1-11. ⟨10.1007/s00138-014-0652-z⟩. ⟨hal-01097536⟩
  • David Picard, Philippe-Henri Gosselin. Efficient image signatures and similarities using tensor products of local descriptors. Computer Vision and Image Understanding, Elsevier, 2013, 117 (6), pp.680-687. ⟨10.1016/j.cviu.2013.02.004⟩. ⟨hal-00799074⟩
  • Alexis Lechervy, Philippe-Henri Gosselin, Frédéric Precioso. Boosted kernel for image categorization. Multimedia Tools and Applications, Springer Verlag, 2013. ⟨hal-00799068⟩
  • Jefersson Alex dos Santos, Philippe-Henri Gosselin, Sylvie Philipp-Foliguet, Ricardo da Silva Torres, Alexandre Xavier Falcao. Interactive Multiscale Classification of High-Resolution Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, 2013, PP (99), pp.1-15. ⟨hal-00799071⟩
  • Hedi Tabia, David Picard, Hamid Laga, Philippe-Henri Gosselin. Compact Vectors of Locally Aggregated Tensors for 3D shape retrieval. Eurographics Workshop on 3D Object Retrieval, 2013, ⟨10.2312/3DOR/3DOR13/017-024⟩. ⟨hal-02979432⟩
  • Romain Negrel, David Picard, Philippe-Henri Gosselin. Web scale image retrieval using compact tensor aggregation of visual descriptors. IEEE MultiMedia, Institute of Electrical and Electronics Engineers, 2013, 20 (3), pp.24-33. ⟨10.1109/MMUL.2013.14⟩. ⟨hal-00832760⟩
  • Jefersson Alex dos Santos, Philippe-Henri Gosselin, Sylvie Philipp-Foliguet, Ricardo da Silva Torres, Alexandre Xavier Falcao. Multiscale Classification of Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2012, 50 (10), pp.3764-3775. ⟨hal-00753160⟩
  • Justine Lebrun, Philippe-Henri Gosselin, Sylvie Philipp-Foliguet. Inexact graph matching based on kernels for object retrieval in image databases. Image and Vision Computing, Elsevier, 2011, 29 (11), pp.716-729. ⟨10.1016/j.imavis.2011.07.008⟩. ⟨hal-00660300⟩
  • Philippe-Henri Gosselin, Frédéric Precioso, Sylvie Philipp-Foliguet. Incremental Kernel Learning for Active Image Retrieval without Global Dictionaries. Pattern Recognition, Elsevier, 2011, 44 (10-11), pp.2244-2254. ⟨10.1016/j.patcog.2010.12.006⟩. ⟨hal-00619211⟩
  • Sylvie Philipp-Foliguet, Julien Gony, Philippe-Henri Gosselin. FReBIR : an image retrieval system based on fuzzy region matching. Computer Vision and Image Understanding, Elsevier, 2009, 113, pp.693-707. ⟨hal-00519447⟩
  • Philippe-Henri Gosselin, Matthieu Cord. Feature based approach to semi-supervised similarity learning.. Pattern Recognition, Special issue on Similarity-Based Pattern Recognition., 2006, pp.1839-1851. ⟨hal-00520288⟩
  • Matthieu Cord, Jérome Fournier, Philippe-Henri Gosselin, Sylvie Philipp-Foliguet. Interactive Exploration for Image Retrieval.. EURASIP Journal on Advances in Signal Processing, SpringerOpen, 2006, pp.2173-2186. ⟨hal-00520284⟩

Conference papers53 documents

  • Vu-Lam Nguyen, Ngoc-Son Vu, Philippe-Henri Gosselin. A Handcrafted Normalized-Convolution Network for Texture Classification. Compact and Efficient Feature Representation and Learning in Computer Vision, Oct 2017, Venice, Italy. ⟨hal-01681182⟩
  • Vu-Lam Nguyen, Ngoc-Son Vu, Hai-Hong Phan, Philippe-Henri Gosselin. An Integrated Descriptor for Texture Classification. 23rd IEEE International Conference on Pattern Recognition (ICPR 2016), Dec 2016, Cancun, Mexico. ⟨10.1109/ICPR.2016.7899931⟩. ⟨hal-01593389⟩
  • Vu-Lam Nguyen, Ngoc-Son Vu, Philippe-Henri Gosselin. A scattering transform combination with local binary pattern for texture classification. International Workshop on Content-based Multimedia Indexing , Jun 2016, Bucharest, Romania. ⟨10.1109/CBMI.2016.7500238⟩. ⟨hal-01346956⟩
  • David Picard, Philippe-Henri Gosselin. Évaluation de descripteurs visuels pour l'annotation automatique d'images patrimoniales. Gretsi 2015, Sep 2015, Lyon, France. ⟨hal-01277486⟩
  • Jerome Fellus, David Picard, Philippe-Henri Gosselin. Asynchronous decentralized convex optimization through short-term gradient averaging. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2015, Bruges, Belgium. ⟨hal-01148648⟩
  • Romain Negrel, David Picard, Philippe-Henri Gosselin. DIMENSIONALITY REDUCTION OF VISUAL FEATURES USING SPARSE PROJECTORS FOR CONTENT-BASED IMAGE RETRIEVAL. IEEE International Conference on Image Processing, Oct 2014, Paris, France. pp.2192-2196. ⟨hal-01081770⟩
  • Hedi Tabia, Hamid Laga, David Picard, Philippe-Henri Gosselin. Covariance Descriptors for 3D Shape Matching and Retrieval. IEEE Conference on Computer Vsion and Pattern Recognition, Jun 2014, Columbus, Ohio, United States. 8 p. ⟨hal-01022970⟩
  • Romain Negrel, David Picard, Philippe-Henri Gosselin. Evaluation of Second-order Visual Features for Land-Use Classification. 12th International Workshop on Content-Based Multimedia Indexing, Jun 2014, France. 5 p. ⟨hal-01022971⟩
  • Jérôme Fellus, David Picard, Philippe-Henri Gosselin. Dimensionality reduction in decentralized networks by Gossip aggregation of principal components analyzers. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2014, Bruges, Belgium. pp.171-176. ⟨hal-00985721⟩
  • Romain Negrel, David Picard, Philippe-Henri Gosselin. Efficient Dimension Reduction Of Global Signature With Sparse Projectors For Image Near Duplicate Retrieval. IAPR International Conference on Pattern Recognition, Aug 2014, Stockholm, Sweden. 6 p. ⟨hal-01064050⟩
  • Olivier Kihl, David Picard, Philippe-Henri Gosselin. Local polynomial space-time descriptors for actions classification. International Conference on Machine Vision Applications, May 2013, Kyoto, Japan. ⟨hal-00807493⟩
  • Hedi Tabia, David Picard, Hamid Laga, Philippe-Henri Gosselin. Compact Vectors of Locally Aggregated Tensors for 3D shape retrieval. Eurographics Workshop on 3D Object Retrieval, May 2013, Girona, Spain. ⟨hal-00807501⟩
  • Jérôme Fellus, David Picard, Philippe-Henri Gosselin. Calcul décentralisé de dictionnaires visuels pour l'indexation multimédia dans les bases de données réparties sur les réseaux. ORASIS : Orasis, Congrès des jeunes chercheurs en vision par ordinateur, Jun 2013, Cluny, France. ⟨hal-00807486⟩
  • Olivier Kihl, David Picard, Philippe-Henri Gosselin. A Unified Formalism for Video Descriptors. IEEE Int. Conf. on Image Processing ICIP2013, Sep 2013, Melbourne, Australia. pp.2416-2419. ⟨hal-00832190v2⟩
  • Jonathan Delhumeau, Philippe-Henri Gosselin, Hervé Jégou, Patrick Pérez. Revisiting the VLAD image representation. ACM Multimedia, Oct 2013, Barcelona, Spain. ⟨hal-00840653v2⟩
  • Jérôme Fellus, David Picard, Philippe-Henri Gosselin. Decentralized K-means using randomized Gossip protocols for clustering large datasets. International Workshop on Knowledge Discovery Using Cloud and Distributed Computing Platforms, Dec 2013, Dallas, Texas, United States. pp.8. ⟨hal-00915822⟩
  • Jefersson Ale dos Santos, Otávio Penatti, Ricardo da Silva Torres, Philippe-Henri Gosselin, Sylvie Philipp-Foliguet, et al.. Remote Sensing Image Representation based on Hierarchical Histogram Propagation. IEEE International Geoscience and Remote Sensing Symposium, Jul 2013, Melbourne, Australia. pp.4. ⟨hal-00861379⟩
  • Rachid Benmokhtar, Jonathan Delhumeau, Philippe-Henri Gosselin. Efficient Supervised Dimensionality Reduction for Image Categorization. IEEE International Conference on Acoustics, Speech, and Signal Processing, May 2013, Vancouver, Canada. pp.2425-2428. ⟨hal-00807483⟩
  • Philippe-Henri Gosselin, David Picard. Machine Learning and Content-Based Multimedia Retrieval. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2013, Bruges, Belgium. pp.251-260. ⟨hal-00864824⟩
  • Mehdi Badr, Dan Vodislav, David Picard, Philippe-Henri Gosselin, Shaoyi Yin. Multi-criteria Search Algorithm: An Efficient Approximate K-NN Algorithm for Image Retrieval. 2013 IEEE International Conference on Image Processing (ICIP 2013), Sep 2013, Melbourne, Australia. pp.2901-2905, ⟨10.1109/ICIP.2013.6738597⟩. ⟨hal-00832196v2⟩
  • Hedi Tabia, David Picard, Hamid Laga, Philippe-Henri Gosselin. Fast Approximation of Distance Between Elastic Curves using Kernels. British Machine Vision Conference, Sep 2013, United Kingdom. pp.11. ⟨hal-00861369⟩
  • Hedi Tabia, David Picard, Hamid Laga, Philippe-Henri Gosselin. 3D Shape Similarity Using Vectors of Locally Aggregated Tensors. IEEE International Conference on Image Processing, Sep 2013, Melbourne, Australia. pp.2694-2698. ⟨hal-00832182⟩
  • Virginia Fernandes Mota, Eder de Almeida Perez, Marcelo Bernardes Vieira, Silva Maciel Luiz Maurílio Da, Frédéric Precioso, et al.. A tensor based on optical flow for global description of motion in videos. SIBGRAPI 2012, Aug 2012, Ouro Preto, Brazil. pp.4. ⟨hal-00753159⟩
  • Romain Negrel, Virgínia Fernandes Mota, Philippe-Henri Gosselin, Marcelo Bernardes Vieira, Frederic Precioso. Indexation des Bases Vidéos à l'aide d'une Modélisation du Flot Optique par Bases de Polynômes. RFIA 2012 (Reconnaissance des Formes et Intelligence Artificielle), Jan 2012, Lyon, France. ⟨hal-00656527⟩
  • Romain Negrel, David Picard, Philippe-Henri Gosselin. Using Spatial Pyramids with Compacted VLAT for Image Categorization. International Conference on Pattern Recognition, Nov 2012, Tsukuba, Japan. ⟨hal-00753158⟩
  • Romain Negrel, David Picard, Philippe-Henri Gosselin. Compact Tensor Based Image Representation for Similarity Search. IEEE International Conference on Image Processing, Sep 2012, Orlando, United States. ⟨hal-00753157⟩
  • Jefersson Alex dos Santos, Augusto Faria Fábio, Ricardo da Silva Torres, Anderson Rocha, Philippe-Henri Gosselin, et al.. Descriptor Correlation Analysis for Remote Sensing Image Multi-Scale Classification. International Conference on Pattern Recognition, Nov 2012, Tsukuba, Japan. ⟨hal-00753162⟩
  • Jefersson Ale dos Santos, Otávio Penatti, Ricardo da Silva Torres, Philippe-Henri Gosselin, Sylvie Philipp-Foliguet, et al.. Improving Texture Description in Remote Sensing Image Multi-Scale Classification Tasks By Using Visual Words. International Conference on Pattern Recognition, Nov 2012, Tsukuba, Japan. ⟨hal-00753152⟩
  • Philippe-Henri Gosselin. ONLINE KERNEL LEARNING FOR INTERACTIVE RETRIEVAL IN DYNAMIC IMAGE DATABASES. IEEE International Conference on Image Processing, Sep 2012, Orlando, United States. ⟨hal-00753154⟩
  • Alexis Lechervy, Philippe-Henri Gosselin, Frédéric Precioso. Boosting Kernel Combination for multi-class image categorization. 2012 IEEE International Conference on Image Processing (ICIP), Sep 2012, Orlando, United States. pp.4. ⟨hal-00753156⟩
  • Alexis Lechervy, Philippe-Henri Gosselin, Frédéric Precioso. Linear kernel combination using boosting. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2012, Bruges, Belgium. pp.6. ⟨hal-00753155⟩
  • David Picard, Philippe-Henri Gosselin. Improving Image Similarity With Vectors of Locally Aggregated Tensors. 2011 IEEE International Conference on Image Processing (IEEE ICIP2011), Sep 2011, Brussels, Belgium. pp.669 - 672, ⟨10.1109/ICIP.2011.6116641⟩. ⟨hal-00591993⟩
  • Bertrand Delezoide, Frédéric Precioso, Philippe-Henri Gosselin, Miriam Redi, Bernard Merialdo, et al.. IRIM at TRECVID 2011: Semantic Indexing and Instance Search. TRECVID 2011 - TREC Video Retrieval Evaluation Online, Nov 2011, Gaithersburg, MD, United States. 12p. ⟨hal-00677651⟩
  • Alexis Lechervy, Philippe-Henri Gosselin, Frédéric Precioso. Boosting actif pour la recherche interactive d'images. Reconnaissance des Formes et Intelligence Artificielle, Jan 2010, France. pp.1. ⟨hal-00520319⟩
  • Alexis Lechervy, Philippe-Henri Gosselin, Frédéric Precioso. Active Boosting for interactive object retrieval.. International Conference on Pattern Recognition, Aug 2010, Turkey. pp.1. ⟨hal-00520294⟩
  • Jean-Emmanuel Haugeard, Sylvie Philipp-Foliguet, Philippe-Henri Gosselin. Kernel on Graphs based on Dictionary of Paths for Image Retrieval.. International Conference on Pattern Recognition, Aug 2010, Turkey. pp.1. ⟨hal-00520295⟩
  • Sylvie Philipp-Foliguet, Michel Jordan, Matthias Fuzier, Philippe-Henri Gosselin. Indexing of 3D Models Based on Graph of Surfacic Regions. International Workshop on 3D Object Retrieval, Oct 2010, Firenze, Italy. pp.4. ⟨hal-00519835⟩
  • David Gorisse, Frédéric Precioso, Philippe-Henri Gosselin, Lionel Granjon, Denis Pellerin, et al.. IRIM at TRECVID 2010: Semantic Indexing and Instance Search. TRECVID - TREC Video Retrieval Evaluation workshop, Nov 2010, Gaithersburg, MD, United States. ⟨hal-00591099⟩
  • Bertrand Delezoide, Hervé Le Borgne, Pierre-Alain Moëllic, David Gorisse, Frédéric Precioso, et al.. IRIM at TRECVID2009: High Level Feature Extraction. TREC Video Retrieval Evaluation: TRECVID, Nov 2009, Gaithersburg, MD, United States. ⟨hal-00468199⟩
  • Philippe-Henri Gosselin, Justine Lebrun, Sylvie Philipp-Foliguet. Recherche d'images par noyaux sur graphes de régions.. Extraction et Gestion des Connaissances, Jan 2008, France. pp.1. ⟨hal-00520282⟩
  • Justine Lebrun, Sylvie Philipp-Foliguet, Philippe-Henri Gosselin. Image retrieval with graph kernel on regions.. International Conference on Pattern Recognition, Dec 2008, United States. pp.1. ⟨hal-00520300⟩
  • Philippe-Henri Gosselin, Matthieu Cord, Sylvie Philipp-Foliguet. Kernel on Bags for multi-object database retrieval.. ACM International Conference on Image and Video Retrieval, Jul 2007, Amsterdam, Netherlands. pp.226-231, ⟨10.1145/1282280.1282317⟩. ⟨hal-00520303⟩
  • Philippe-Henri Gosselin, Matthieu Cord, Sylvie Philipp-Foliguet. Kernel on Bags of Fuzzy Regions for fast object retrieval. ICIP 2007 - IEEE International Conference on Image Processing, Sep 2007, San Antonio, Texas, United States. pp.177-180, ⟨10.1109/ICIP.2007.4378920⟩. ⟨hal-00520302⟩
  • Philippe-Henri Gosselin, Matthieu Cord. Precision-Oriented Active Selection for Interactive Image Retrieval.. IEEE International Conference on Image Processing, Oct 2006, United States. pp.1. ⟨hal-00520305⟩
  • Matthieu Cord, Philippe-Henri Gosselin. Image Retrieval using Long-Term Semantic Learning. IEEE International Conference on Image Processing, Oct 2006, France. pp.1. ⟨hal-00520307⟩
  • Sylvie Philipp-Foliguet, Guillaume Logerot, Patrick Constant, Philippe-Henri Gosselin, Christian Lahanier. Multimedia Indexing and Fast Retrieval Based on a Vote System. IEEE International Conference on Multimedia and Expo, Jul 2006, Canada. pp.1. ⟨hal-00520309⟩
  • Philippe-Henri Gosselin, Matthieu Cord. Active learning techniques for user interactive systems: application to image retrieval. International Workshop on Machine Learning techniques for processing MultiMedia content, Aug 2005, France. pp.1. ⟨hal-00520312⟩
  • Philippe-Henri Gosselin, Matthieu Cord. Méthodes d'apprentissage sémantiques: application à la recherche d'images.. Conférence sur l'Apprentissage Automatique, May 2005, Nice, France. pp.1. ⟨hal-00520280⟩
  • Philippe-Henri Gosselin, Matthieu Cord. Semantic kernel learning for interactive image retrieval. IEEE International Conference on Image Processing, Sep 2005, Italy. pp.1. ⟨hal-00520310⟩
  • Philippe-Henri Gosselin, Matthieu Cord. A Comparison of Active Classification Methods for Content-Based Image Retrieval. International Workshop on Computer Vision meets Databases, ACM Sigmod, Jun 2004, France. pp.1. ⟨hal-00520318⟩
  • Philippe-Henri Gosselin, Matthieu Cord. RETIN AL: An Active Learning Strategy for Image Category Retrieval. IEEE International Conference on Image Processing,, Oct 2004, Singapore. pp.1. ⟨hal-00520315⟩
  • Philippe-Henri Gosselin, Matthieu Cord. Semantic Kernel Updating for Content-Based Image Retrieval. IEEE International Workshop on Multimedia Content-based Analysis and Retrieval, Dec 2004, United States. pp.1. ⟨hal-00520313⟩
  • Philippe-Henri Gosselin, Micheline Najjar, Matthieu Cord, Christophe Ambroise. Discriminative Classification vs Modeling Methods in CBIR. IEEE International Conference on Advanced Concepts for Intelligent Vision Systems, Sep 2004, Belgium. pp.1. ⟨hal-00520316⟩

Preprints, Working Papers, ...2 documents

  • Bharath Bhushan Damodaran, Nicolas Courty, Philippe-Henri Gosselin. Data Dependent Kernel Approximation using Pseudo Random Fourier Features. 2019. ⟨hal-02174326⟩
  • Philippe-Henri Gosselin, Micheline Najjar, Matthieu Cord, Christophe Ambroise, Sylvie Philipp-Foliguet. Méthodes d'Apprentissage pour la Recherche d'Images par le Contenu.. 2004. ⟨hal-00520277⟩

Reports2 documents

  • Philippe-Henri Gosselin, Naila Murray, Hervé Jégou, Florent Perronnin. Inria+Xerox@FGcomp: Boosting the Fisher vector for fine-grained classification. [Research Report] RR-8431, INRIA. 2013. ⟨hal-00920187v2⟩
  • Piotr Koniusz, Fei Yan, Philippe-Henri Gosselin, Krystian Mikolajczyk. Higher-order Occurrence Pooling on Mid- and Low-level Features: Visual Concept Detection. [Technical Report] 2013, pp.20. ⟨hal-00922524⟩

Theses1 document

  • Philippe-Henri Gosselin. Méthodes d'apprentissage pour la recherche de catégories dans des bases d'images. Interface homme-machine [cs.HC]. Université de Cergy Pontoise, 2005. Français. ⟨tel-00619222⟩

Habilitation à diriger des recherches1 document

  • Philippe-Henri Gosselin. Apprentissage interactif pour la recherche par le contenu dans les bases multimédias. Recherche d'information [cs.IR]. Université de Cergy Pontoise, 2011. ⟨tel-00660316⟩