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01/23/2023
LEGO-Net: Learning Regular Rearrangements of Objects in Rooms
Humans universally dislike the task of cleaning up a messy room. If mach...
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12/05/2022
Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields
Coordinate-based implicit neural networks, or neural fields, have emerge...
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11/29/2022
Equivalence Between SE(3) Equivariant Networks via Steerable Kernels and Group Convolution
A wide range of techniques have been proposed in recent years for design...
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10/29/2022
Breaking the Symmetry: Resolving Symmetry Ambiguities in Equivariant Neural Networks
Equivariant networks have been adopted in many 3-D learning areas. Here ...
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01/19/2022
ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes
Progress in 3D object understanding has relied on manually canonicalized...
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04/25/2021
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
Invariance and equivariance to the rotation group have been widely discu...
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06/27/2019
Effective Rotation-invariant Point CNN with Spherical Harmonics kernels
We present a novel rotation invariant architecture operating directly on...
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10/01/2018
Multi-directional Geodesic Neural Networks via Equivariant Convolution
We propose a novel approach for performing convolution of signals on cur...
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06/12/2018