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2104.12229
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Vector Neurons: A General Framework for SO(3)-Equivariant Networks
25 April 2021
Congyue Deng
Or Litany
Yueqi Duan
A. Poulenard
Andrea Tagliasacchi
Leonidas Guibas
3DPC
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Papers citing
"Vector Neurons: A General Framework for SO(3)-Equivariant Networks"
50 / 234 papers shown
Title
S3I-PointHop: SO(3)-Invariant PointHop for 3D Point Cloud Classification
Pranav Kadam
Hardik Prajapati
Hao Fei
Jintang Xue
Shan Liu
C.-C. Jay Kuo
3DPC
87
3
0
22 Feb 2023
Steerable Equivariant Representation Learning
Sangnie Bhardwaj
Willie McClinton
Tongzhou Wang
Guillaume Lajoie
Chen Sun
Phillip Isola
Dilip Krishnan
OOD
LLMSV
69
5
0
22 Feb 2023
GenAug: Retargeting behaviors to unseen situations via Generative Augmentation
Zoey Chen
Sho Kiami
Abhishek Gupta
Vikash Kumar
LM&Ro
96
87
0
13 Feb 2023
Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs
Saro Passaro
C. L. Zitnick
3DPC
111
93
0
07 Feb 2023
PaRot: Patch-Wise Rotation-Invariant Network via Feature Disentanglement and Pose Restoration
Dingxin Zhang
Jianhui Yu
Chaoyi Zhang
Weidong (Tom) Cai
3DPC
65
10
0
06 Feb 2023
Rethinking Rotation Invariance with Point Cloud Registration
Jianhui Yu
Chaoyi Zhang
Weidong (Tom) Cai
3DPC
112
7
0
31 Dec 2022
Equivariant Light Field Convolution and Transformer
Yinshuang Xu
Jiahui Lei
Kostas Daniilidis
ViT
46
0
0
30 Dec 2022
Mesh Neural Networks for SE(3)-Equivariant Hemodynamics Estimation on the Artery Wall
Julian Suk
P. D. Haan
Phillip Lippe
Christoph Brune
J. Wolterink
96
24
0
09 Dec 2022
Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields
Rohith Agaram
Shaurya Dewan
Rahul Sajnani
A. Poulenard
Madhava Krishna
Srinath Sridhar
86
6
0
05 Dec 2022
Equivalence Between SE(3) Equivariant Networks via Steerable Kernels and Group Convolution
A. Poulenard
M. Ovsjanikov
Leonidas Guibas
3DPC
55
2
0
29 Nov 2022
TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis
Pavlo Melnyk
Andreas Robinson
Michael Felsberg
Maarten Wadenback
3DPC
90
2
0
26 Nov 2022
Transformation-Equivariant 3D Object Detection for Autonomous Driving
Hai Wu
Chenglu Wen
Wei Li
Xin Li
Ruigang Yang
Cheng-i Wang
3DPC
96
90
0
22 Nov 2022
SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields
Anthony Simeonov
Yilun Du
Lin Yen-Chen
Alberto Rodriguez
L. Kaelbling
Tomas Lozano-Perez
Pulkit Agrawal
100
57
0
17 Nov 2022
TAX-Pose: Task-Specific Cross-Pose Estimation for Robot Manipulation
Chuer Pan
Brian Okorn
Harry Zhang
Ben Eisner
David Held
108
60
0
17 Nov 2022
Equivariance with Learned Canonicalization Functions
Sekouba Kaba
Arnab Kumar Mondal
Yan Zhang
Yoshua Bengio
Siamak Ravanbakhsh
125
71
0
11 Nov 2022
Neural Grasp Distance Fields for Robot Manipulation
Thomas Weng
David Held
Franziska Meier
Mustafa Mukadam
94
45
0
04 Nov 2022
Edge Grasp Network: A Graph-Based SE(3)-invariant Approach to Grasp Detection
Hao-zhe Huang
Dian Wang
Xu Zhu
Robin Walters
Robert Platt
3DPC
71
37
0
31 Oct 2022
Breaking the Symmetry: Resolving Symmetry Ambiguities in Equivariant Neural Networks
S. Balachandar
A. Poulenard
Congyue Deng
Leonidas Guibas
68
1
0
29 Oct 2022
Vitruvio: 3D Building Meshes via Single Perspective Sketches
Alberto Tono
Heyaojing Huang
Ashwin Agrawal
Martin Fischer
47
5
0
24 Oct 2022
NIFT: Neural Interaction Field and Template for Object Manipulation
Zeyu Huang
Juzhan Xu
Sisi Dai
Kai Xu
Hao Zhang
Hui Huang
Ruizhen Hu
91
7
0
20 Oct 2022
Neural Contact Fields: Tracking Extrinsic Contact with Tactile Sensing
Carolina Higuera
Siyuan Dong
Byron Boots
Mustafa Mukadam
53
24
0
17 Oct 2022
Dynamics-aware Adversarial Attack of Adaptive Neural Networks
An Tao
Yueqi Duan
Yingqi Wang
Jiwen Lu
Jie Zhou
AAML
85
6
0
15 Oct 2022
Frame Mining: a Free Lunch for Learning Robotic Manipulation from 3D Point Clouds
Minghua Liu
Xuanlin Li
Z. Ling
Yangyan Li
Hao Su
82
32
0
14 Oct 2022
Unsupervised Learning of Equivariant Structure from Sequences
Takeru Miyato
Masanori Koyama
Kenji Fukumizu
86
12
0
12 Oct 2022
Equivariant Shape-Conditioned Generation of 3D Molecules for Ligand-Based Drug Design
Keir Adams
Connor W. Coley
93
27
0
06 Oct 2022
Coarse-to-Fine Point Cloud Registration with SE(3)-Equivariant Representations
Chengxuan Lin
Tung-I Chen
Hsin-Ying Lee
Wen-Chin Chen
Winston H. Hsu
3DPC
79
12
0
05 Oct 2022
Towards General-Purpose Representation Learning of Polygonal Geometries
Gengchen Mai
C. Jiang
Weiwei Sun
Rui Zhu
Yao Xuan
Ling Cai
K. Janowicz
Stefano Ermon
Ni Lao
84
38
0
29 Sep 2022
USEEK: Unsupervised SE(3)-Equivariant 3D Keypoints for Generalizable Manipulation
Zhengrong Xue
Zhecheng Yuan
Jiashun Wang
Xueqian Wang
Yang Gao
Huazhe Xu
3DPC
181
26
0
28 Sep 2022
RIGA: Rotation-Invariant and Globally-Aware Descriptors for Point Cloud Registration
Hao Yu
Jiafan Hou
Zheng Qin
Mahdi Saleh
I. Shugurov
Kai Wang
Benjamin Busam
Slobodan Ilic
92
42
0
27 Sep 2022
SVNet: Where SO(3) Equivariance Meets Binarization on Point Cloud Representation
Z. Su
Max Welling
M. Pietikäinen
Li Liu
3DPC
104
11
0
13 Sep 2022
Continual Learning for Pose-Agnostic Object Recognition in 3D Point Clouds
Xihao Wang
Xian Wei
3DPC
118
5
0
11 Sep 2022
SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion
Julen Urain
Niklas Funk
Jan Peters
Georgia Chalvatzaki
DiffM
166
127
0
08 Sep 2022
SO(3)-Pose: SO(3)-Equivariance Learning for 6D Object Pose Estimation
Haoran Pan
Jun Zhou
Yuanpeng Liu
Xuequan Lu
Weiming Wang
Xu Yan
Mingqiang Wei
69
5
0
17 Aug 2022
Robust Change Detection Based on Neural Descriptor Fields
Jiahui Fu
Yilun Du
Kurran Singh
J. Tenenbaum
J. Leonard
66
11
0
01 Aug 2022
Graph Neural Network with Local Frame for Molecular Potential Energy Surface
Xiyuan Wang
Muhan Zhang
70
12
0
01 Aug 2022
Quiver neural networks
I. Ganev
Robin Walters
64
4
0
26 Jul 2022
NeuralBF: Neural Bilateral Filtering for Top-down Instance Segmentation on Point Clouds
Weiwei Sun
Daniel Rebain
Renjie Liao
V. Tankovich
S. Yazdani
K. M. Yi
Andrea Tagliasacchi
3DPC
51
13
0
20 Jul 2022
Theseus: A Library for Differentiable Nonlinear Optimization
Luis Pineda
Taosha Fan
Maurizio Monge
S. Venkataraman
Paloma Sodhi
...
Austin S. Wang
Stuart Anderson
Jing Dong
Brandon Amos
Mustafa Mukadam
101
78
0
19 Jul 2022
Image to Icosahedral Projection for
S
O
(
3
)
\mathrm{SO}(3)
SO
(
3
)
Object Reasoning from Single-View Images
David Klee
Ondrej Biza
Robert Platt
Robin Walters
96
4
0
18 Jul 2022
An Algorithm for the SE(3)-Transformation on Neural Implicit Maps for Remapping Functions
Yijun Yuan
A. Nüchter
65
9
0
17 Jun 2022
Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces
Yinshuang Xu
Jiahui Lei
Yan Sun
Kostas Daniilidis
88
20
0
16 Jun 2022
Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning
Hyunwoo Ryu
Jeong-Hoon Lee
Honglak Lee
Jongeun Choi
104
57
0
16 Jun 2022
E2PN: Efficient SE(3)-Equivariant Point Network
Minghan Zhu
Maani Ghaffari
W. A. Clark
Huei Peng
3DPC
60
19
0
11 Jun 2022
VN-Transformer: Rotation-Equivariant Attention for Vector Neurons
Serge Assaad
Carlton Downey
Rami Al-Rfou
Nigamaa Nayakanti
Benjamin Sapp
71
20
0
08 Jun 2022
Rotation-Equivariant Conditional Spherical Neural Fields for Learning a Natural Illumination Prior
James A. D. Gardner
Bernhard Egger
W. Smith
65
15
0
07 Jun 2022
Contrastive Representation Learning for 3D Protein Structures
Pedro Hermosilla
Timo Ropinski
3DV
110
54
0
31 May 2022
Generalised Implicit Neural Representations
Daniele Grattarola
P. Vandergheynst
59
31
0
31 May 2022
The Devil is in the Pose: Ambiguity-free 3D Rotation-invariant Learning via Pose-aware Convolution
Ronghan Chen
Yang Cong
3DH
62
19
0
30 May 2022
VectorAdam for Rotation Equivariant Geometry Optimization
Selena Ling
Nicholas Sharp
Alec Jacobson
47
16
0
26 May 2022
PointVector: A Vector Representation In Point Cloud Analysis
Xin Deng
Wenyu Zhang
Qing Ding
Xinming Zhang
3DPC
125
33
0
21 May 2022
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