Number of documents

8

David Picard


Hedi Tabia   

Journal articles1 document

Conference papers7 documents

  • Diogo Luvizon, Hedi Tabia, David Picard. Multimodal Deep Neural Networks for Pose Estimation and Action Recognition. Congrès Reconnaissance des Formes, Image, Apprentissage et Perception (RFIAP 2018), Jun 2018, Marne-la-Vallée, France. ⟨hal-01815707⟩
  • Diogo Luvizon, David Picard, Hedi Tabia. 2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2018, Salt Lake City, United States. ⟨hal-01815703⟩
  • Marie-Morgane Paumard, David Picard, Hedi Tabia. Jigsaw Puzzle Solving Using Local Feature Co-occurrences In Deep Neural Networks. International Conference on Image Processing, Oct 2018, Athens, Greece. ⟨hal-01820489v2⟩
  • 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⟩
  • 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⟩
  • 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⟩