Adrien Poulenard

21 papers A* 5Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2023	A*	`conf`	Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields. CVPR Rohith Agaram, Shaurya Dewan, Rahul Sajnani, Adrien Poulenard, K. Madhava Krishna, Srinath Sridhar
2023	A*	`conf`	LEGO-Net: Learning Regular Rearrangements of Objects in Rooms. CVPR Qiuhong Anna Wei, Sijie Ding, Jeong Joon Park, Rahul Sajnani, Adrien Poulenard, Srinath Sridhar, Leonidas J. Guibas
2023	J	`jnl`	LEGO-Net: Learning Regular Rearrangements of Objects in Rooms. CoRR Qiuhong Anna Wei, Sijie Ding, Jeong Joon Park, Rahul Sajnani, Adrien Poulenard, Srinath Sridhar, Leonidas J. Guibas
2022	J	`jnl`	Breaking the Symmetry: Resolving Symmetry Ambiguities in Equivariant Neural Networks. CoRR Sidhika Balachandar, Adrien Poulenard, Congyue Deng, Leonidas J. Guibas
2022	J	`jnl`	Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields. CoRR Rohith Agaram, Shaurya Dewan, Rahul Sajnani, Adrien Poulenard, K. Madhava Krishna, Srinath Sridhar
2022	A*	`conf`	ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes. CVPR Rahul Sajnani, Adrien Poulenard, Jivitesh Jain, Radhika Dua, Leonidas J. Guibas, Srinath Sridhar
2022	J	`jnl`	ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes. CoRR Rahul Sajnani, Adrien Poulenard, Jivitesh Jain, Radhika Dua, Leonidas J. Guibas, Srinath Sridhar
2022	J	`jnl`	Equivalence Between SE(3) Equivariant Networks via Steerable Kernels and Group Convolution. CoRR Adrien Poulenard, Maks Ovsjanikov, Leonidas J. Guibas
2021	A*	`conf`	A Functional Approach to Rotation Equivariant Non-Linearities for Tensor Field Networks. CVPR Adrien Poulenard, Leonidas J. Guibas
2021	A*	`conf`	Vector Neurons: A General Framework for SO(3)-Equivariant Networks. ICCV Congyue Deng, Or Litany, Yueqi Duan, Adrien Poulenard, Andrea Tagliasacchi, Leonidas J. Guibas
2021	J	`jnl`	Vector Neurons: A General Framework for SO(3)-Equivariant Networks. CoRR Congyue Deng, Or Litany, Yueqi Duan, Adrien Poulenard, Andrea Tagliasacchi, Leonidas J. Guibas
2020	—	`—`	Structures for deep learning and topology optimization of functions on 3D shapes. (Structures pour l'apprentissage profond et l'optimisation de la topologie de fonctions sur les formes 3D). Adrien Poulenard
2019	—	`conf`	Effective Rotation-Invariant Point CNN with Spherical Harmonics Kernels. 3DV Adrien Poulenard, Marie-Julie Rakotosaona, Yann Ponty, Maks Ovsjanikov
2019	J	`jnl`	Effective Rotation-invariant Point CNN with Spherical Harmonics kernels. CoRR Adrien Poulenard, Marie-Julie Rakotosaona, Yann Ponty, Maks Ovsjanikov
2019	—	`conf`	Matching Humans with Different Connectivity. 3DOR@Eurographics Simone Melzi, Riccardo Marin, Emanuele Rodolà, Umberto Castellani, Jing Ren, Adrien Poulenard, Peter Wonka, Maks Ovsjanikov
2018	J	`jnl`	Continuous and Orientation-preserving Correspondences via Functional Maps. CoRR Jing Ren, Adrien Poulenard, Peter Wonka, Maks Ovsjanikov
2018	J	`jnl`	Continuous and orientation-preserving correspondences via functional maps. ACM Trans. Graph. Jing Ren, Adrien Poulenard, Peter Wonka, Maks Ovsjanikov
2018	J	`jnl`	Multi-directional Geodesic Neural Networks via Equivariant Convolution. CoRR Adrien Poulenard, Maks Ovsjanikov
2018	J	`jnl`	Multi-directional geodesic neural networks via equivariant convolution. ACM Trans. Graph. Adrien Poulenard, Maks Ovsjanikov
2018	J	`jnl`	Topological Function Optimization for Continuous Shape Matching. Comput. Graph. Forum Adrien Poulenard, Primoz Skraba, Maks Ovsjanikov
2017	J	`jnl`	Directional Enlacement Histograms for the Description of Complex Spatial Configurations between Objects. IEEE Trans. Pattern Anal. Mach. Intell. Michaël Clément, Adrien Poulenard, Camille Kurtz, Laurent Wendling