Number of documents

25

David Picard


Philippe-Henri Gosselin   

Journal articles6 documents

  • 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⟩
  • 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⟩
  • 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⟩
  • 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, 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⟩

Conference papers19 documents

  • 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. 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⟩
  • 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. 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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. Compact Vectors of Locally Aggregated Tensors for 3D shape retrieval. Eurographics Workshop on 3D Object Retrieval, May 2013, Girona, Spain. ⟨hal-00807501⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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, ⟨10.1109/ICIP.2013.6738597⟩. ⟨hal-00832196v2⟩
  • 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⟩
  • 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⟩
  • 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⟩