| SnapNet: 3D point cloud semantic labeling with 2D deep segmentation networks A Boulch, J Guerry, B Le Saux, N Audebert Computers & Graphics 71, 189-198, 2018 | 357 | 2018 |
| Shrec'17 track: 3d hand gesture recognition using a depth and skeletal dataset Q De Smedt, H Wannous, JP Vandeborre, J Guerry, B Le Saux, D Filliat 3DOR-10th Eurographics Workshop on 3D Object Retrieval, 1-6, 2017 | 152 | 2017 |
| Snapnet-r: Consistent 3d multi-view semantic labeling for robotics J Guerry, A Boulch, B Le Saux, J Moras, A Plyer, D Filliat Proceedings of the IEEE international conference on computer vision …, 2017 | 98 | 2017 |
| 3d hand gesture recognition using a depth and skeletal dataset: Shrec'17 track Q De Smedt, H Wannous, JP Vandeborre, J Guerry, BL Saux, D Filliat Proceedings of the Workshop on 3D Object Retrieval, 33-38, 2017 | 80 | 2017 |
| “Look At This One”, Detection sharing between modality-independent classifiers for robotic discovery of people J Guerry, B Le Saux, D Filliat European conference on mobile robotics, 2017 | 13 | 2017 |
| Remote diagnosis by analyzing heterogeneous data J Guerry, F Chanel, N Tardieu Surveillance, Vishno and AVE conferences, 2019 | | 2019 |
| Reconnaissance visuelle robuste par réseaux de neurones dans des scénarios d'exploration robotique. Détecte-moi si tu peux! J Guerry Université Paris Saclay (COmUE), 2017 | | 2017 |
| Sélection d'algorithmes de classification par réseau de neurones J Guerry, B Le Saux, D Filliat RFIA 2016, 2016 | | 2016 |
| SHREC 2017: Hand gesture classification challenge. Classify sequence by key frames with convolutional neural network J Guerry, B Le Saux, D Filliat | | |
| Reconnaissanced’objets pourl’explorationrobotique J Guerry, B Le Saux, PD Filliat | | |
| RCNN RGBD pour la détection de personnes en conditions difficiles J Guerry, B Le Saux, D Filliat | | |
Bertrand Le SauxESA / ESRIN Φ-labAdresse e-mail validée de ieee.org
