Adrien Poulenard

According to our database, Adrien Poulenard authored at least 14 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

LEGO-Net: Learning Regular Rearrangements of Objects in Rooms.

Qiuhong Anna Wei, Sijie Ding, Jeong Joon Park, Rahul Sajnani, Adrien Poulenard, Srinath Sridhar, Leonidas J. Guibas

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields.

Rohith Agaram, Shaurya Dewan, Rahul Sajnani, Adrien Poulenard, K. Madhava Krishna, Srinath Sridhar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Equivalence Between SE(3) Equivariant Networks via Steerable Kernels and Group Convolution.

Adrien Poulenard, Maks Ovsjanikov, Leonidas J. Guibas

CoRR, 2022

Breaking the Symmetry: Resolving Symmetry Ambiguities in Equivariant Neural Networks.

Sidhika Balachandar, Adrien Poulenard, Congyue Deng, Leonidas J. Guibas

CoRR, 2022

ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes.

Rahul Sajnani, Adrien Poulenard, Jivitesh Jain, Radhika Dua, Leonidas J. Guibas, Srinath Sridhar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Vector Neurons: A General Framework for SO(3)-Equivariant Networks.

Congyue Deng, Or Litany, Yueqi Duan, Adrien Poulenard, Andrea Tagliasacchi, Leonidas J. Guibas

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

A Functional Approach to Rotation Equivariant Non-Linearities for Tensor Field Networks.

Adrien Poulenard, Leonidas J. Guibas

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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

PhD thesis, 2020

2019

Matching Humans with Different Connectivity.

Simone Melzi, Riccardo Marin, Emanuele Rodolà, Umberto Castellani, Jing Ren, Adrien Poulenard, Peter Wonka, Maks Ovsjanikov

Proceedings of the 12th Eurographics Workshop on 3D Object Retrieval, 2019

Effective Rotation-Invariant Point CNN with Spherical Harmonics Kernels.

Adrien Poulenard, Marie-Julie Rakotosaona, Yann Ponty, Maks Ovsjanikov

Proceedings of the 2019 International Conference on 3D Vision, 2019

2018

Continuous and orientation-preserving correspondences via functional maps.

Jing Ren, Adrien Poulenard, Peter Wonka, Maks Ovsjanikov

ACM Trans. Graph., 2018

Multi-directional geodesic neural networks via equivariant convolution.

Adrien Poulenard, Maks Ovsjanikov

ACM Trans. Graph., 2018

Topological Function Optimization for Continuous Shape Matching.

Adrien Poulenard, Primoz Skraba, Maks Ovsjanikov

Comput. Graph. Forum, 2018

2017

Directional Enlacement Histograms for the Description of Complex Spatial Configurations between Objects.

Michaël Clément, Adrien Poulenard, Camille Kurtz, Laurent Wendling

IEEE Trans. Pattern Anal. Mach. Intell., 2017