| Fisheyedistancenet: Self-supervised scale-aware distance estimation using monocular fisheye camera for autonomous driving VR Kumar, SA Hiremath, M Bach, S Milz, C Witt, C Pinard, S Yogamani, ... 2020 IEEE international conference on robotics and automation (ICRA), 574-581, 2020 | 71 | 2020 |
| Learning structure-from-motion from motion C Pinard, L Chevalley, A Manzanera, D Filliat Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 18 | 2018 |
| Electronic device and method for generating, from at least one pair of successive images of a scene, a depth map of the scene, associated drone and computer program C Pinard US Patent App. 16/043,790, 2019 | 9 | 2019 |
| End-to-end depth from motion with stabilized monocular videos C Pinard, L Chevalley, A Manzanera, D Filliat arXiv preprint arXiv:1809.04453, 2018 | 9 | 2018 |
| Does it work outside this benchmark? Introducing the rigid depth constructor tool: Depth validation dataset construction in rigid scenes for the masses C Pinard, A Manzanera Multimedia Tools and Applications 82 (27), 41641-41667, 2023 | 3 | 2023 |
| Multi range Real-time depth inference from a monocular stabilized footage using a Fully Convolutional Neural Network C Pinard, L Chevalley, A Manzanera, D Filliat 2017 European Conference on Mobile Robots (ECMR), 1-6, 2017 | 2 | 2017 |
| Robust Learning of a depth map for obstacle avoidance with a monocular stabilized flying camera C Pinard Université Paris Saclay (COmUE), 2019 | 1 | 2019 |
Antoine ManzaneraProfessor, ENSTA ParisVerified email at ensta-paris.fr
