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

25 April 2021

Yueqi Duan

Papers citing "Vector Neurons: A General Framework for SO(3)-Equivariant Networks"

50 / 230 papers shown

Title
Equivariant Light Field Convolution and Transformer Yinshuang Xu Jiahui Lei Kostas Daniilidis ViT 27 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 19 21 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 36 6 0 05 Dec 2022
Equivalence Between SE(3) Equivariant Networks via Steerable Kernels and Group Convolution A. Poulenard M. Ovsjanikov Leonidas J. Guibas 3DPC 32 2 0 29 Nov 2022
TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis Pavlo Melnyk Andreas Robinson M. Felsberg Maarten Wadenback 3DPC 23 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 28 87 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 34 52 0 17 Nov 2022
TAX-Pose: Task-Specific Cross-Pose Estimation for Robot Manipulation Chuer Pan Brian Okorn Harry Zhang Ben Eisner David Held 33 57 0 17 Nov 2022
Equivariance with Learned Canonicalization Functions Sekouba Kaba Arnab Kumar Mondal Yan Zhang Yoshua Bengio Siamak Ravanbakhsh 44 62 0 11 Nov 2022
Neural Grasp Distance Fields for Robot Manipulation Thomas Weng David Held Franziska Meier Mustafa Mukadam 13 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 W. Platt 3DPC 15 35 0 31 Oct 2022
Breaking the Symmetry: Resolving Symmetry Ambiguities in Equivariant Neural Networks S. Balachandar A. Poulenard Congyue Deng Leonidas J. Guibas 35 1 0 29 Oct 2022
Vitruvio: 3D Building Meshes via Single Perspective Sketches Alberto Tono Heyaojing Huang Ashwin Agrawal Martin Fischer 29 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 42 7 0 20 Oct 2022
Neural Contact Fields: Tracking Extrinsic Contact with Tactile Sensing Carolina Higuera Siyuan Dong Byron Boots Mustafa Mukadam 19 23 0 17 Oct 2022
Dynamics-aware Adversarial Attack of Adaptive Neural Networks An Tao Yueqi Duan Yingqi Wang Jiwen Lu Jie Zhou AAML 27 4 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 36 31 0 14 Oct 2022
Unsupervised Learning of Equivariant Structure from Sequences Takeru Miyato Masanori Koyama Kenji Fukumizu 26 12 0 12 Oct 2022
Equivariant Shape-Conditioned Generation of 3D Molecules for Ligand-Based Drug Design Keir Adams Connor W. Coley 34 25 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 29 11 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 35 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 108 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 55 39 0 27 Sep 2022
SVNet: Where SO(3) Equivariance Meets Binarization on Point Cloud Representation Z. Su Max Welling M. Pietikäinen Li Liu 3DPC 35 11 0 13 Sep 2022
Continual Learning for Pose-Agnostic Object Recognition in 3D Point Clouds Xihao Wang Xian Wei 3DPC 38 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 58 121 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 24 5 0 17 Aug 2022
Robust Change Detection Based on Neural Descriptor Fields Jiahui Fu Yilun Du Kurran Singh J. Tenenbaum J. Leonard 30 10 0 01 Aug 2022
Graph Neural Network with Local Frame for Molecular Potential Energy Surface Xiyuan Wang Muhan Zhang 38 9 0 01 Aug 2022
Quiver neural networks I. Ganev Robin Walters 39 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 18 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 32 76 0 19 Jul 2022
$Image to Icosahedral Projection for $\mathrm{SO}(3)$ Object Reasoning from Single-View Images$ Image to Icosahedral Projection for $\mathrm{SO}(3)$ Object Reasoning from Single-View Images David M. Klee Ondrej Biza Robert W. Platt Robin Walters 26 4 0 18 Jul 2022
An Algorithm for the SE(3)-Transformation on Neural Implicit Maps for Remapping Functions Yijun Yuan A. Nüchter 24 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 25 19 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 37 53 0 16 Jun 2022
E2PN: Efficient SE(3)-Equivariant Point Network Minghan Zhu Maani Ghaffari W. A. Clark Huei Peng 3DPC 27 18 0 11 Jun 2022
VN-Transformer: Rotation-Equivariant Attention for Vector Neurons Serge Assaad Carlton Downey Rami Al-Rfou Nigamaa Nayakanti Benjamin Sapp 38 18 0 08 Jun 2022
Rotation-Equivariant Conditional Spherical Neural Fields for Learning a Natural Illumination Prior James A. D. Gardner Bernhard Egger W. Smith 33 13 0 07 Jun 2022
Contrastive Representation Learning for 3D Protein Structures Pedro Hermosilla Timo Ropinski 3DV 48 51 0 31 May 2022
Generalised Implicit Neural Representations Daniele Grattarola P. Vandergheynst 21 30 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 30 19 0 30 May 2022
VectorAdam for Rotation Equivariant Geometry Optimization Selena Ling Nicholas Sharp Alec Jacobson 25 16 0 26 May 2022
PointVector: A Vector Representation In Point Cloud Analysis Xin Deng Wenyu Zhang Qing Ding Xinming Zhang 3DPC 47 28 0 21 May 2022
VNT-Net: Rotational Invariant Vector Neuron Transformers Hedi Zisling Andrei Sharf 3DPC 32 1 0 19 May 2022
3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design Yinan Huang Xing Peng Jianzhu Ma Muhan Zhang BDL 30 48 0 15 May 2022
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets Xingang Peng Shitong Luo Jiaqi Guan Qi Xie Jian-wei Peng Jianzhu Ma 27 176 0 15 May 2022
Low Dimensional Invariant Embeddings for Universal Geometric Learning Nadav Dym S. Gortler 29 39 0 05 May 2022
Rotationally Equivariant 3D Object Detection Hong-Xing Yu Jiajun Wu Li Yi 3DPC 22 29 0 28 Apr 2022
SE(3)-Equivariant Attention Networks for Shape Reconstruction in Function Space Evangelos Chatzipantazis Stefanos Pertigkiozoglou Yan Sun Kostas Daniilidis 3DPC 37 30 0 05 Apr 2022