Sotabase

Career

· Postdoctoral Researcher, Stanford University2020–
· PhD Student, Institut Polytechnique de Paris2017–2020

Publications (14)

Vector Neurons: A General Framework for SO(3)-Equivariant Networks
IEEE International Conference on Computer Vision · 2021
392
cited
Continuous and orientation-preserving correspondences via functional maps
ACM Transactions on Graphics · 2018
196
cited
Effective Rotation-Invariant Point CNN with Spherical Harmonics Kernels
International Conference on 3D Vision · 2019
114
cited
Multi-directional geodesic neural networks via equivariant convolution
ACM Transactions on Graphics · 2018
98
cited
Topological Function Optimization for Continuous Shape Matching
Computer graphics forum (Print) · 2018
92
cited
LEGO-Net: Learning Regular Rearrangements of Objects in Rooms
Computer Vision and Pattern Recognition · 2023
87
cited
SHREC 2019: Matching Humans with Different Connectivity
2019
54
cited
A functional approach to rotation equivariant non-linearities for Tensor Field Networks
Computer Vision and Pattern Recognition · 2021
49
cited
Matching Humans with Different Connectivity
3DOR@Eurographics · 2019
44
cited
ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes
Computer Vision and Pattern Recognition · 2022
43
cited
Directional Enlacement Histograms for the Description of Complex Spatial Configurations between Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2017
22
cited
Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields
Computer Vision and Pattern Recognition · 2022
11
cited
Equivalence Between SE(3) Equivariant Networks via Steerable Kernels and Group Convolution
arXiv.org · 2022
2
cited
Breaking the Symmetry: Resolving Symmetry Ambiguities in Equivariant Neural Networks
arXiv.org · 2022
1
cited
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