Céline Teulière
32
Documents
Publications
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Toddler-inspired learning induces hierarchical object representationsIEEE ICDL - Sensorimotor Interaction, language, and Embodiement of Symbols (SMILES) workshop, Sep 2022, London, United Kingdom
Conference papers
hal-03838312v1
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Toddler-inspired embodied vision for learning object representationsIEEE ICDL, Sep 2022, Londres, United Kingdom
Conference papers
hal-03838291v1
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Unsupervised Learning of Spatio-Temporal Receptive Fields from an Event-Based Vision Sensor29th International Conference on Artificial Neural Networks,, 2021, Bratislava, Slovakia. pp.622-633, ⟨10.1007/978-3-030-61616-8_50⟩
Conference papers
hal-03049596v1
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Spike timing-based unsupervised learning of orientation, disparity, and motion representations in a spiking neural networkEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Jun 2021, Virtual, France. ⟨10.1109/CVPRW53098.2021.00152⟩
Conference papers
hal-03614701v1
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Temporal information integration for video semantic segmentation2020 IEEE International Conference on Robotics and Automation (ICRA), May 2020, Paris, France. pp.8545-8551, ⟨10.1109/ICRA40945.2020.9197204⟩
Conference papers
hal-03049590v1
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Blur Aware Calibration of Multi-Focus Plenoptic CameraIEEE Conference on Computer Vision and Pattern Recognition, Jun 2020, Seattle, United States. ⟨10.1109/CVPR42600.2020.00262⟩
Conference papers
hal-02537124v1
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Within Reach? Learning to touch objects without prior modelsJoint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), Aug 2019, Oslo, Norway
Conference papers
hal-03207755v1
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Learning to touch objects through stage-wise deep reinforcement learningIEEE/RSJ International Conference on Intelligent Robots and Systems, Oct 2018, Madrid, Spain
Conference papers
hal-01915423v1
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Light-field camera calibration from raw imagesInternational Conference on Digital Image Computing: Techniques and Applications (DICTA’17), Nov 2017, Sydney, Australia. pp.1-8, ⟨10.1109/DICTA.2017.8227459⟩
Conference papers
hal-01657735v1
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Apprentissage par renforcement profond de la fixation binoculaire en utilisant de la détection d'anomaliesORASIS 2017, GREYC, Jun 2017, Colleville-sur-Mer, France
Conference papers
hal-01866766v1
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Deep edge-color invariant features for 2D/3D car fine-grained classificationIntelligent Vehicles Symposium (IV), 2017, Los Angeles, United States
Conference papers
hal-01653492v1
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Deep MANTA: A Coarse-to-Fine Many-Task Network for Joint 2D and 3D Vehicle Analysis from Monocular ImageIEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, Honolulu, United States
Conference papers
hal-01653519v1
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Learning of Binocular Fixations using Anomaly Detection with Deep Reinforcement LearningInternational joint Conference on Neural Networks, May 2017, Anchorage, AK, United States. ⟨10.1109/IJCNN.2017.7965928⟩
Conference papers
hal-01635610v2
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Accurate 3D car pose estimation2016 IEEE International Conference on Image Processing (ICIP), Sep 2016, Phoenix, AZ, United States. pp.3807-3811, ⟨10.1109/ICIP.2016.7533072⟩
Conference papers
cea-01841166v1
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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
Conference papers
hal-01161838v1
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Étalonnage automatique d'un système d'acquisition Caméras - Centrale inertielle - Lidar 3DReconnaissance de Formes et Intelligence Artificielle (RFIA) 2014, Jun 2014, France
Conference papers
hal-00988741v1
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Direct 3D servoing using dense depth mapsIEEE/RSJ Int. Conf. on Intelligent Robots and Systems, IROS'12, 2012, Vilamoura, Portugal. pp.1741-1746
Conference papers
hal-00750583v1
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Chasing a moving target from a flying UAVIEEE/RSJ Int. Conf. on Intelligent Robots and Systems, IROS'11, 2011, San Francisco, USA, United States
Conference papers
hal-00639702v1
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Using multiple hypothesis in model-based trackingIEEE Int. Conf. on Robotics and Automation, ICRA'10, 2010, Anchorage, Alaska, United States. pp.4559-4565
Conference papers
inria-00544795v1
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3D model-based tracking for UAV position controlIEEE/RSJ Int. Conf. on Intelligent Robots and Systems, IROS'10, 2010, Taipei, Taiwan, Taiwan. pp.1084-1089
Conference papers
inria-00544796v1
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Approche multi-noyaux pour le suivi temps-réel d'objet mobileORASIS'09 - Congrès des jeunes chercheurs en vision par ordinateur, 2009, Trégastel, France, France
Conference papers
inria-00404649v1
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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
Conference papers
inria-00436921v1
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Approches déterministes et bayésiennes pour un suivi robuste : application à l'asservissement visuel d'un droneAutomatique / Robotique. Université Rennes 1, 2010. Français. ⟨NNT : ⟩
Theses
tel-00589519v1
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Learning to touch objects through stage-wise deep reinforcement learning2018
Preprints, Working Papers, ...
hal-01820043v1
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