| Vector Neurons: A General Framework for SO (3)-Equivariant Networks C Deng, O Litany, Y Duan, A Poulenard, A Tagliasacchi, L Guibas arXiv preprint arXiv:2104.12229, 2021 | 202 | 2021 |
| Continuous and orientation-preserving correspondences via functional maps J Ren, A Poulenard, P Wonka, M Ovsjanikov ACM Transactions on Graphics (TOG) 37 (6), 1-16, 2018 | 161 | 2018 |
| Multi-directional geodesic neural networks via equivariant convolution A Poulenard, M Ovsjanikov ACM Transactions on Graphics (TOG) 37 (6), 1-14, 2018 | 101 | 2018 |
| Effective rotation-invariant point cnn with spherical harmonics kernels A Poulenard, MJ Rakotosaona, Y Ponty, M Ovsjanikov 2019 International Conference on 3D Vision (3DV), 47-56, 2019 | 96 | 2019 |
| Topological function optimization for continuous shape matching A Poulenard, P Skraba, M Ovsjanikov Computer Graphics Forum 37 (5), 13-25, 2018 | 91 | 2018 |
| Matching humans with different connectivity S Melzi, R Marin, E Rodolà, U Castellani, J Ren, A Poulenard, P Wonka, ... The Eurographics Association, 2019 | 80 | 2019 |
| A Functional Approach to Rotation Equivariant Non-Linearities for Tensor Field Networks. A Poulenard, LJ Guibas Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 33 | 2021 |
| Condor: Self-supervised canonicalization of 3d pose for partial shapes R Sajnani, A Poulenard, J Jain, R Dua, LJ Guibas, S Sridhar Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 28 | 2022 |
| Directional enlacement histograms for the description of complex spatial configurations between objects M Clément, A Poulenard, C Kurtz, L Wendling IEEE Transactions on Pattern Analysis and Machine Intelligence 39 (12), 2366 …, 2016 | 28 | 2016 |
| Lego-net: Learning regular rearrangements of objects in rooms QA Wei, S Ding, JJ Park, R Sajnani, A Poulenard, S Sridhar, L Guibas Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 24 | 2023 |
| Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields R Agaram, S Dewan, R Sajnani, A Poulenard, M Krishna, S Sridhar Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 4 | 2023 |
| Equivalence Between SE (3) Equivariant Networks via Steerable Kernels and Group Convolution A Poulenard, M Ovsjanikov, LJ Guibas arXiv preprint arXiv:2211.15903, 2022 | 1 | 2022 |
| Breaking the Symmetry: Resolving Symmetry Ambiguities in Equivariant Neural Networks S Balachandar, A Poulenard, C Deng, L Guibas arXiv preprint arXiv:2210.16646, 2022 | 1 | 2022 |
| Structures for deep learning and topology optimization of functions on 3D shapes A Poulenard Institut Polytechnique de Paris, 2020 | | 2020 |
| ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes Supplementary Material R Sajnani, A Poulenard, J Jain, R Dua, LJ Guibas, S Sridhar | | |
| 3DV 2019 Y Dai, Z Zhu, M Ferrera, A Boulch, J Moras, MM Puscas, D Xu, N Sebe, ... | | |
