Nombre de documents

45

David Picard


Article dans une revue10 documents

  • Diogo Carbonera Luvizon, Hedi Tabia, David Picard. Learning features combination for human action recognition from skeleton sequences. Pattern Recognition Letters, Elsevier, 2017, 〈10.1016/j.patrec.2017.02.001〉. 〈hal-01515376〉
  • 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〉
  • 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〉
  • 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〉
  • David Picard, Nicolas Thome, Matthieu Cord. JKernelMachines: A Simple Framework for Kernel Machines. Journal of Machine Learning Research, Journal of Machine Learning Research, 2013, 14, pp.1417-1421. 〈hal-00832030〉
  • 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. 〈hal-00832760〉
  • David Picard, Arnaud Revel, Matthieu Cord. An Application of Swarm Intelligence to Distributed Image Retrieval. Information Sciences, Elsevier, 2012, 192, pp.71-81. 〈10.1016/j.ins.2010.03.003〉. 〈hal-00656322〉
  • David Picard, Matthieu Cord, Arnaud Revel. Image Retrieval over Networks : Active Learning using Ant Algorithm. IEEE Transactions on Multimedia, Institute of Electrical and Electronics Engineers, 2008, 10 (7), pp.1356-1365. 〈10.1109/TMM.2008.2004913〉. 〈hal-00656363〉

Communication dans un congrès35 documents

  • David Picard. Preserving local spatial information in image similarity using tensor aggregation of local features. 2016 IEEE International Conference on Image Processing (ICIP), Sep 2016, Phoenix, AZ, United States. 2016 IEEE International Conference on Image Processing (ICIP), pp.201-205, 2016, 〈10.1109/ICIP.2016.7532347〉. 〈hal-01359109〉
  • David Picard, Thomas Henn, Georg Dietz. Non-negative dictionary learning for paper watermark similarity. Asilomar Conference on Signals, Systems, and Computers, Nov 2016, Pacific Grove, United States. 〈http://www.asilomarsscconf.org/〉. 〈hal-01408807〉
  • David Picard, Philippe-Henri Gosselin. Évaluation de descripteurs visuels pour l'annotation automatique d'images patrimoniales. Gretsi 2015, Sep 2015, Lyon, France. 〈hal-01277486〉
  • Hervé Le Borgne, Philippe Gosselin, Miriam Redi, David Picard, Bernard Mérialdo, et al.. IRIM at TRECVID 2015: Semantic Indexing. Proceedings of TRECVid, Nov 2015, Gaithersburg, MD, United States. 2015. 〈hal-01233398〉
  • Nicolas Cazin, Aymeric Histace, David Picard, Benoît Gaudou. On The Joint Modeling of The Behavior of Social Insects and Their Interaction With Environment by Taking Into Account Physical Phenomena Like Anisotropic Diffusion. International Conference on Practical Applications of Agents and Multi-Agent Systems, Jun 2015, Salamanque, Spain. pp.151-164. 〈hal-01127710〉
  • 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. 2015. 〈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〉
  • Nicolas Ballas, Benjamin Labbé, Hervé Le Borgne, Philippe Gosselin, David Picard, et al.. IRIM at TRECVID 2014: Semantic Indexing and Instance Search. Proceedings of TRECVID, Nov 2014, Orlando, United States. 2014. 〈hal-01132491〉
  • 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, 2014. 〈hal-00985721〉
  • 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., 2014. 〈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., 2014. 〈hal-01022971〉
  • David Picard, Inbar Fijalkow. Second order model deviations of local Gabor features for texture classification. Signals, Systems and Computers, 2014 48th Asilomar Conference on, Nov 2014, Pacific Grove, CA, United States. IEEE, pp.917-920, 2014, 〈http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7094586〉. 〈10.1109/ACSSC.2014.7094586〉. 〈hal-01151327〉
  • David Picard, Ngoc-Son Vu, Inbar Fijalkow. PHOTOGRAPHIC PAPER TEXTURE CLASSIFICATION USING MODEL DEVIATION OF LOCAL VISUAL DESCRIPTORS. IEEE Int. Conf. on Image Processing, Oct 2014, Paris, France, France. 5 p., 2014. 〈hal-01063123〉
  • 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., 2014. 〈hal-01064050〉
  • 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, 2013. 〈hal-00832190v2〉
  • 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, 2013. 〈hal-00864824〉
  • 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, 2013. 〈hal-00832182〉
  • Mehdi Badr, Dan Vodislav, David Picard, Shaoyi Yin, Philippe-Henri Gosselin. Multi-criteria Search Algorithm: An Efficient Approximate K-NN Algorithm for Image Retrieval. IEEE Int. Conf. on Image Processing ICIP2013, Sep 2013, Melbourne, Australia. pp.2901-2905, 2013, 〈10.1109/ICIP.2013.6738597〉. 〈hal-00832196v2〉
  • 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, 2013. 〈hal-00915822〉
  • David Picard, Aymeric Histace, Marie-Charlotte Desseroit. Joint MAS-PDE Modeling of Forest Pest Insect Dynamics: Analysis of the Bark Beetle's Behavior. VISIGRAPP (Workshop GEODIFF), Feb 2013, Barcelone, Spain. pp.29-38, 2013. 〈hal-00784160〉
  • 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. 2013. 〈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. 2013. 〈hal-00807486〉
  • 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. 2013. 〈hal-00807493〉
  • 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, 2013. 〈hal-00861369〉
  • 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. 2012. 〈hal-00753158〉
  • David Picard, Nicolas Thome, Matthieu Cord, Alain Rakotomamonjy. Learning geometric combinations of Gaussian kernels with alternating Quasi-Newton algorithm. 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2012, Bruges, Belgium. ESANN 2012, pp.79-84, 2012. 〈hal-00705374〉
  • 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. 2012. 〈hal-00753157〉
  • Corina Iovan, David Picard, Nicolas Thome, Matthieu Cord. Classification of Urban Scenes from Geo-referenced Images in Urban Street-View Context. Machine Learning and Applications (ICMLA), 2012 11th International Conference on, Dec 2012, Boca Raton, Florida, United States. Machine Learning and Applications (ICMLA), 2012 11th International Conference on, 2, pp.339--344, 2012. 〈hal-00794980〉
  • 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, 2011, 〈10.1109/ICIP.2011.6116641〉. 〈hal-00591993〉
  • David Picard, Nicolas Thome, Matthieu Cord. An efficient System for combining complementary kernels in complex visual categorization tasks. ICIP 2010 - 17th IEEE International Conference on Image Processing, Sep 2010, Hong Kong, Hong Kong SAR China. IEEE, pp.3877-3880, 2010, 〈10.1109/ICIP.2010.5651051〉. 〈hal-00656365〉
  • Eduardo Valle, David Picard, Matthieu Cord. Geometric Consistency Checking for Local-Descriptor Based Document Retrieval. 9th ACM symposium on Document engineering (DocEng '09), Sep 2009, Munich, Germany. ACM, pp.135-138, 2009, 〈10.1145/1600193.1600224〉. 〈hal-00656434〉
  • David Picard, Arnaud Revel, Matthieu Cord. Long Term Learning for Image Retrieval over Networks. ICIP'08 - 15th IEEE International Conference on Image Processing, Oct 2008, San Diego, CA, United States. IEEE, pp.929-932, 2008, 〈10.1109/ICIP.2008.4711908〉. 〈hal-00448953〉
  • David Picard, Arnaud Revel, Matthieu Cord. Performances of mobile-agents for interactive image retrieval. Web Intelligence Conference, Dec 2006, Hong Kong, Hong Kong SAR China. IEEE Computer Society, pp.581-586, 2006, 〈10.1109/WI.2006.129〉. 〈hal-00449294〉
  • David Picard, Matthieu Cord, Arnaud Revel. Cbir in distributed databases using a multi-agent system.. International Conference on Image Processing, 2006, France. IEEE, pp.3205-3208, 2006. 〈hal-00449299〉
  • Arnaud Revel, David Picard, Matthieu Cord. Ant-like mobile agents for Content-Based Image Retrieval in distributed databases. Workshop on Machine Learning Techniques for Processing Multimedia Content, 2005, France. pp.Demo, 2005. 〈hal-00449320〉