| A papier-mâché approach to learning 3d surface generation T Groueix, M Fisher, VG Kim, BC Russell, M Aubry Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 345 | 2018 |
| 3d-coded: 3d correspondences by deep deformation T Groueix, M Fisher, VG Kim, BC Russell, M Aubry Proceedings of the European Conference on Computer Vision (ECCV), 230-246, 2018 | 81 | 2018 |
| Learning elementary structures for 3d shape generation and matching T Deprelle, T Groueix, M Fisher, V Kim, B Russell, M Aubry Advances in Neural Information Processing Systems, 7435-7445, 2019 | 38 | 2019 |
| Unsupervised cycle‐consistent deformation for shape matching T Groueix, M Fisher, VG Kim, BC Russell, M Aubry Computer Graphics Forum 38 (5), 123-133, 2019 | 9 | 2019 |
| A Summary of the 4th International Workshop on~ Recovering 6D Object Pose T Hodan, R Kouskouridas, TK Kim, F Tombari, K Bekris, B Drost, ... Proceedings of the European Conference on Computer Vision (ECCV), 0-0, 2018 | 9 | 2018 |
| Shape correspondence with isometric and non-isometric deformations RM Dyke, C Stride, YK Lai, PL Rosin, M Aubry, A Boyarski, AM Bronstein, ... The Eurographics Association, 2019 | 3 | 2019 |
| Deep Transformation-Invariant Clustering T Monnier, T Groueix, M Aubry Advances in Neural Information Processing Systems 33, 2020 | | 2020 |
| Interactive Monte-Carlo ray-tracing upsampling M Boughida, T Groueix, T Boubekeur Proceedings of the 37th Annual Conference of the European Association for …, 2016 | | 2016 |
| Utilisation d'images synthétiques photoréalistes pour l'apprentissage profond. T Groueix | | |
Mathieu AubryResearcher, LIGM-Imagine, ENPCVerified email at imagine.enpc.fr
