| Skeleton-based dynamic hand gesture recognition Q De Smedt, H Wannous, JP Vandeborre Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 274 | 2016 |
| 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 | 136 | 2017 |
| Heterogeneous hand gesture recognition using 3D dynamic skeletal data Q De Smedt, H Wannous, JP Vandeborre Computer Vision and Image Understanding 181, 60-72, 2019 | 71 | 2019 |
| 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 | 69 | 2017 |
| 3D Hand Gesture Recognition by Analysing Set-of-Joints Trajectories Q De Smedt, H Wannous, JP Vandeborre 2nd International Workshop on Understanding Human Activities through 3D …, 2016 | 30 | 2016 |
| Dynamic hand gesture recognition-From traditional handcrafted to recent deep learning approaches Q De Smedt Université de Lille 1, Sciences et Technologies; CRIStAL UMR 9189, 2017 | 27 | 2017 |
| Dynamic hand gesture recognition using skeleton-based features Q De Smedt, H Wannous, JP Vandeborre 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops …, 2016 | 6 | 2016 |
| Reconnaisance de gestes dynamiques de la main-De la création de descripteurs aux récentes méthodes d’apprentissage profond Q de Smedt | | 2017 |
Jean-Philippe VandeborreFull Professor at IMT Nord Europe / CRIStAL (UMR CNRS 9189)Adresse e-mail validée de imt-nord-europe.fr
