Joris Guerry
Joris Guerry
Research engineer, EDF R&D
Verified email at edf.fr - Homepage
Title
Cited by
Cited by
Year
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
612018
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
302017
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
262017
Long-term 3d localization and pose from semantic labellings
C Toft, C Olsson, F Kahl
Proceedings of the IEEE International Conference on Computer Vision …, 2017
202017
“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
52017
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
32017
Remote diagnosis by analyzing heterogeneous data
J Guerry, F Chanel, N Tardieu
2019
Reconnaissance visuelle robuste par réseaux de neurones dans des scénarios d'exploration robotique. Détecte-moi si tu peux!
J Guerry
2017
Sélection d'algorithmes de classification par réseau de neurones
J Guerry, B Le Saux, D Filliat
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
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Articles 1–12