Deep manta: A coarse-to-fine many-task network for joint 2d and 3d vehicle analysis from monocular image F Chabot, M Chaouch, J Rabarisoa, C Teuliere, T Chateau Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 543 | 2017 |
Chasing a moving target from a flying UAV C Teuliere, L Eck, E Marchand 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011 | 175 | 2011 |
3-D model-based tracking for UAV indoor localization C Teuliere, E Marchand, L Eck IEEE Transactions on cybernetics 45 (5), 869-879, 2014 | 74 | 2014 |
3D model-based tracking for UAV position control C Teuliere, L Eck, E Marchand, N Guenard 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2010 | 55 | 2010 |
A dense and direct approach to visual servoing using depth maps C Teuliere, E Marchand IEEE Transactions on Robotics 30 (5), 1242-1249, 2014 | 53 | 2014 |
Using multiple hypothesis in model-based tracking C Teulière, E Marchand, L Eck 2010 IEEE International Conference on Robotics and Automation, 4559-4565, 2010 | 49 | 2010 |
Robust active binocular vision through intrinsically motivated learning L Lonini, S Forestier, C Teulière, Y Zhao, BE Shi, J Triesch Frontiers in neurorobotics 7, 20, 2013 | 47 | 2013 |
Self-calibrating smooth pursuit through active efficient coding C Teulière, S Forestier, L Lonini, C Zhang, Y Zhao, B Shi, J Triesch Robotics and Autonomous Systems 71, 3-12, 2015 | 34 | 2015 |
Direct 3D servoing using dense depth maps C Teulière, E Marchand 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012 | 32 | 2012 |
Metric calibration of a focused plenoptic camera based on a 3D calibration target N Zeller, C Noury, F Quint, C Teulière, U Stilla, M Dhome ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information …, 2016 | 28 | 2016 |
Spike timing-based unsupervised learning of orientation, disparity, and motion representations in a spiking neural network T Barbier, C Teulière, J Triesch Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 25 | 2021 |
Learning of binocular fixations using anomaly detection with deep reinforcement learning F de La Bourdonnaye, C Teuliere, T Chateau, J Triesch 2017 International Joint Conference on Neural Networks (IJCNN), 760-767, 2017 | 20 | 2017 |
Light-field camera calibration from raw images CA Noury, C Teulière, M Dhome 2017 International Conference on Digital Image Computing: Techniques and …, 2017 | 19 | 2017 |
Autonomous learning of smooth pursuit and vergence through active efficient coding TN Vikram, C Teulière, C Zhang, BE Shi, J Triesch 4th International Conference on Development and Learning and on Epigenetic …, 2014 | 17 | 2014 |
Time to augment self-supervised visual representation learning A Aubret, M Ernst, C Teulière, J Triesch arXiv preprint arXiv:2207.13492, 2022 | 11 | 2022 |
Leveraging blur information for plenoptic camera calibration M Labussière, C Teulière, F Bernardin, O Ait-Aider International Journal of Computer Vision 130 (7), 1655-1677, 2022 | 10 | 2022 |
Blur aware calibration of multi-focus plenoptic camera M Labussière, C Teulière, F Bernardin, O Ait-Aider Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 10 | 2020 |
Unsupervised learning of spatio-temporal receptive fields from an event-based vision sensor T Barbier, C Teulière, J Triesch International Conference on Artificial Neural Networks, 622-633, 2020 | 9 | 2020 |
Stage-wise learning of reaching using little prior knowledge F de La Bourdonnaye, C Teulière, J Triesch, T Chateau Frontiers in Robotics and AI 5, 110, 2018 | 8 | 2018 |
Predictive coding light: learning compact visual codes by combining excitatory and inhibitory spike timing-dependent plasticity AW N'dri, T Barbier, C Teulière, J Triesch Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 7 | 2023 |