Number of documents

24

Publications Céline Teulière


Journal articles7 documents

Conference papers15 documents

  • François de La Bourdonnaye, Céline Teulière, Jochen Triesch, Thierry Chateau. Learning to touch objects through stage-wise deep reinforcement learning. IEEE/RSJ International Conference on Intelligent Robots and Systems, Oct 2018, Madrid, Spain. ⟨hal-01915423⟩
  • François de La Bourdonnaye, Céline Teulière, Thierry Chateau, Jochen Triesch. Learning of Binocular Fixations using Anomaly Detection with Deep Reinforcement Learning. International joint Conference on Neural Networks, May 2017, Anchorage, AK, United States. ⟨10.1109/IJCNN.2017.7965928⟩. ⟨hal-01635610v2⟩
  • Florian Chabot, Mohamed Chaouch, Jaonary Rabarisoa, Céline Teulière, Thierry Chateau. Deep MANTA: A Coarse-to-Fine Many-Task Network for Joint 2D and 3D Vehicle Analysis from Monocular Image. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, Honolulu, United States. ⟨hal-01653519⟩
  • Florian Chabot, Mohamed Chaouch, Jaonary Rabarisoa, Thierry Chateau, Céline Teulière. Deep edge-color invariant features for 2D/3D car fine-grained classification. Intelligent Vehicles Symposium (IV), 2017, Los Angeles, United States. ⟨hal-01653492⟩
  • Charles-Antoine Noury, Céline Teulière, Michel Dhome. Light-field camera calibration from raw images. International Conference on Digital Image Computing: Techniques and Applications (DICTA’17), Nov 2017, Sydney, Australia. ⟨hal-01657735⟩
  • François de La Bourdonnaye, Céline Teulière, Thierry Chateau, Jochen Triesch. Apprentissage par renforcement profond de la fixation binoculaire en utilisant de la détection d'anomalies. ORASIS 2017, GREYC, Jun 2017, Colleville-sur-Mer, France. ⟨hal-01866766⟩
  • F. Chabot, M. Chaouch, J. Rabarisoa, C. Teuliere, T. Chateau. Accurate 3D car pose estimation. 2016 IEEE International Conference on Image Processing (ICIP), Sep 2016, Phoenix, AZ, United States. pp.3807-3811, ⟨10.1109/ICIP.2016.7533072⟩. ⟨cea-01841166⟩
  • Florian Chabot, Mohamed Chaouch, Jaonary Rabarisoa, Thierry Chateau, Céline Teulière. Détection de pose de véhicule pour la reconnaissance de marque et modèle.. Journées francophones des jeunes chercheurs en vision par ordinateur, Jun 2015, Amiens, France. ⟨hal-01161838⟩
  • Clement Deymier, Céline Teulière, Thierry Chateau. Étalonnage automatique d'un système d'acquisition Caméras - Centrale inertielle - Lidar 3D. Reconnaissance de Formes et Intelligence Artificielle (RFIA) 2014, Jun 2014, France. ⟨hal-00988741⟩
  • Céline Teulière, Eric Marchand. Direct 3D servoing using dense depth maps. IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, IROS'12, 2012, Vilamoura, Portugal. pp.1741-1746. ⟨hal-00750583⟩
  • C. Teuliere, L. Eck, E. Marchand. Chasing a moving target from a flying UAV. IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, IROS'11, 2011, San Francisco, USA, United States. ⟨hal-00639702⟩
  • Céline Teulière, E. Marchand, Laurent Eck. Using multiple hypothesis in model-based tracking. IEEE Int. Conf. on Robotics and Automation, ICRA'10, 2010, Anchorage, Alaska, United States. pp.4559-4565, 2010. 〈inria-00544795〉
  • Céline Teulière, Laurent Eck, E. Marchand, Nicolas Guenard. 3D model-based tracking for UAV position control. IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, IROS'10, 2010, Taipei, Taiwan, Taiwan. pp.1084-1089, 2010. 〈inria-00544796〉
  • C. Teuliere. Approche multi-noyaux pour le suivi temps-réel d'objet mobile. ORASIS'09 - Congrès des jeunes chercheurs en vision par ordinateur, 2009, Trégastel, France, France. ⟨inria-00404649⟩
  • Céline Teulière, Eric Marchand, L. Eck. A combination of particle filtering and deterministic approaches for multiple kernel tracking.. IEEE Int. Conf. on Robotics and Automation, ICRA'09, 2009, Kobe, Japan, Japan. pp.3948-3954. ⟨inria-00436921⟩

Theses1 document

  • Céline Teulière. Approches déterministes et bayésiennes pour un suivi robuste : application à l'asservissement visuel d'un drone. Automatique / Robotique. Université Rennes 1, 2010. Français. ⟨tel-00589519⟩

Preprints, Working Papers, ...1 document

  • François de La Bourdonnaye, Céline Teulière, Jochen Triesch, Thierry Chateau. Learning to touch objects through stage-wise deep reinforcement learning. 2018. ⟨hal-01820043⟩