Adrien Poulenard

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 20

Top Topics

Spatial Configurations

Previously Unseen

Top Venues

ACM Trans. Graph.

3DOR@Eurographics

Publications

Qiuhong Anna Wei, Sijie Ding, Jeong Joon Park, Rahul Sajnani, Adrien Poulenard, Srinath Sridhar, Leonidas J. Guibas
LEGO-Net: Learning Regular Rearrangements of Objects in Rooms. CoRR (2023)
Rohith Agaram, Shaurya Dewan, Rahul Sajnani, Adrien Poulenard, K. Madhava Krishna, Srinath Sridhar
Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields. CVPR (2023)
Qiuhong Anna Wei, Sijie Ding, Jeong Joon Park, Rahul Sajnani, Adrien Poulenard, Srinath Sridhar, Leonidas J. Guibas
LEGO-Net: Learning Regular Rearrangements of Objects in Rooms. CVPR (2023)
Sidhika Balachandar, Adrien Poulenard, Congyue Deng, Leonidas J. Guibas
Breaking the Symmetry: Resolving Symmetry Ambiguities in Equivariant Neural Networks. CoRR (2022)
Adrien Poulenard, Maks Ovsjanikov, Leonidas J. Guibas
Equivalence Between SE(3) Equivariant Networks via Steerable Kernels and Group Convolution. CoRR (2022)
Rohith Agaram, Shaurya Dewan, Rahul Sajnani, Adrien Poulenard, K. Madhava Krishna, Srinath Sridhar
Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields. CoRR (2022)
Rahul Sajnani, Adrien Poulenard, Jivitesh Jain, Radhika Dua, Leonidas J. Guibas, Srinath Sridhar
ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes. CoRR (2022)
Rahul Sajnani, Adrien Poulenard, Jivitesh Jain, Radhika Dua, Leonidas J. Guibas, Srinath Sridhar
ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes. CVPR (2022)
Congyue Deng, Or Litany, Yueqi Duan, Adrien Poulenard, Andrea Tagliasacchi, Leonidas J. Guibas
Vector Neurons: A General Framework for SO(3)-Equivariant Networks. ICCV (2021)
Congyue Deng, Or Litany, Yueqi Duan, Adrien Poulenard, Andrea Tagliasacchi, Leonidas J. Guibas
Vector Neurons: A General Framework for SO(3)-Equivariant Networks. CoRR (2021)
Adrien Poulenard, Leonidas J. Guibas
A Functional Approach to Rotation Equivariant Non-Linearities for Tensor Field Networks. CVPR (2021)
Adrien Poulenard, Marie-Julie Rakotosaona, Yann Ponty, Maks Ovsjanikov
Effective Rotation-invariant Point CNN with Spherical Harmonics kernels. CoRR (2019)
Adrien Poulenard, Marie-Julie Rakotosaona, Yann Ponty, Maks Ovsjanikov
Effective Rotation-Invariant Point CNN with Spherical Harmonics Kernels. 3DV (2019)
Simone Melzi, Riccardo Marin, Emanuele Rodolà, Umberto Castellani, Jing Ren, Adrien Poulenard, Peter Wonka, Maks Ovsjanikov
Matching Humans with Different Connectivity. 3DOR@Eurographics (2019)
Adrien Poulenard, Maks Ovsjanikov
Multi-directional Geodesic Neural Networks via Equivariant Convolution. CoRR (2018)
Adrien Poulenard, Primoz Skraba, Maks Ovsjanikov
Topological Function Optimization for Continuous Shape Matching. Comput. Graph. Forum 37 (5) (2018)
Jing Ren, Adrien Poulenard, Peter Wonka, Maks Ovsjanikov
Continuous and Orientation-preserving Correspondences via Functional Maps. CoRR (2018)
Jing Ren, Adrien Poulenard, Peter Wonka, Maks Ovsjanikov
Continuous and orientation-preserving correspondences via functional maps. ACM Trans. Graph. 37 (6) (2018)
Adrien Poulenard, Maks Ovsjanikov
Multi-directional geodesic neural networks via equivariant convolution. ACM Trans. Graph. 37 (6) (2018)
Michaël Clément, Adrien Poulenard, Camille Kurtz, Laurent Wendling
Directional Enlacement Histograms for the Description of Complex Spatial Configurations between Objects. IEEE Trans. Pattern Anal. Mach. Intell. 39 (12) (2017)