Learning SO(3) Equivariant Representations with Spherical CNNs

17 November 2017

Carlos Esteves

Christine Allen-Blanchette

A. Makadia

Kostas Daniilidis

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Papers citing "Learning SO(3) Equivariant Representations with Spherical CNNs"

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Title
Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions Jeremy Ocampo Matthew Alexander Price Jason D. McEwen 13 13 0 27 Sep 2022
A Simple Strategy to Provable Invariance via Orbit Mapping Kanchana Vaishnavi Gandikota Jonas Geiping Zorah Lähner Adam Czapliñski Michael Moeller AAML 3DPC 18 3 0 24 Sep 2022
Panoramic Vision Transformer for Saliency Detection in 360° Videos Heeseung Yun Se-Ho Lee Gunhee Kim ViT MDE 37 17 0 19 Sep 2022
Multi-Task Mixture Density Graph Neural Networks for Predicting Cu-based Single-Atom Alloy Catalysts for CO2 Reduction Reaction Chen Liang Bo-Lan Wang Shaogang Hao Guangyong Chen Pheng-Ann Heng Xiaolong Zou 50 1 0 15 Sep 2022
iSimLoc: Visual Global Localization for Previously Unseen Environments with Simulated Images Peng Yin Ivan Cisneros Ji Zhang Howie Choset S. Scherer 8 17 0 14 Sep 2022
SVNet: Where SO(3) Equivariance Meets Binarization on Point Cloud Representation Z. Su Max Welling M. Pietikäinen Li Liu 3DPC 27 11 0 13 Sep 2022
Continual Learning for Pose-Agnostic Object Recognition in 3D Point Clouds Xihao Wang Xian Wei 3DPC 30 5 0 11 Sep 2022
General Place Recognition Survey: Towards the Real-world Autonomy Age Peng Yin Shiqi Zhao Ivan Cisneros Abulikemu Abuduweili G. Huang Micheal Milford Changliu Liu Howie Choset S. Scherer 40 29 0 09 Sep 2022
BiFuse++: Self-supervised and Efficient Bi-projection Fusion for 360 Depth Estimation Fu-En Wang Yu-Hsuan Yeh Yi-Hsuan Tsai Wei-Chen Chiu Min Sun MDE 24 32 0 07 Sep 2022
BioSLAM: A Bio-inspired Lifelong Memory System for General Place Recognition Peng Yin Abulikemu Abuduweili Shiqi Zhao Changliu Liu S. Scherer CLL 17 15 0 30 Aug 2022
A Feedforward Unitary Equivariant Neural Network P. Ma Terence Chan 18 4 0 25 Aug 2022
PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNs Zhengyang Shen T. Hong Qi She Jinwen Ma Zhouchen Lin MedIm 11 7 0 07 Aug 2022
Learning Omnidirectional Flow in 360-degree Video via Siamese Representation Keshav Bhandari Bin Duan Gaowen Liu Hugo Latapie Ziliang Zong Yan Yan MDE 14 2 0 07 Aug 2022
PointConvFormer: Revenge of the Point-based Convolution Wenxuan Wu Li Fuxin Qi Shan 3DPC 23 30 0 04 Aug 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 G. Walters 13 4 0 18 Jul 2022
AutoMerge: A Framework for Map Assembling and Smoothing in City-scale Environments Peng Yin Haowen Lai Shiqi Zhao Ruohai Ge Ji Zhang Howie Choset S. Scherer 19 32 0 14 Jul 2022
Spherical Channels for Modeling Atomic Interactions C. L. Zitnick Abhishek Das Adeesh Kolluru Janice Lan Muhammed Shuaibi Anuroop Sriram Zachary W. Ulissi Brandon M. Wood 79 58 0 29 Jun 2022
An Algorithm for the SE(3)-Transformation on Neural Implicit Maps for Remapping Functions Yijun Yuan A. Nüchter 11 9 0 17 Jun 2022
Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces Yinshuang Xu Jiahui Lei Edgar Dobriban Kostas Daniilidis 23 19 0 16 Jun 2022
Spatial Feature Mapping for 6DoF Object Pose Estimation Jianhan Mei Xudong Jiang Henghui Ding 3DPC 19 14 0 03 Jun 2022
Hierarchical Spherical CNNs with Lifting-based Adaptive Wavelets for Pooling and Unpooling Mingxing Xu Chenglin Li Wenrui Dai Siheng Chen Junni Zou P. Frossard H. Xiong 32 2 0 31 May 2022
Registering Image Volumes using 3D SIFT and Discrete SP-Symmetry L. Chauvin W. Wells Matthew Toews 6 1 0 30 May 2022
VectorAdam for Rotation Equivariant Geometry Optimization Selena Ling Nicholas Sharp Alec Jacobson 15 16 0 26 May 2022
Deep Learning for Omnidirectional Vision: A Survey and New Perspectives Hao Ai Zidong Cao Jin Zhu Haotian Bai Yucheng Chen Ling Wang 35 35 0 21 May 2022
VNT-Net: Rotational Invariant Vector Neuron Transformers Hedi Zisling Andrei Sharf 3DPC 24 1 0 19 May 2022
Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning Fei Wang Zhewei Xu Pedro A. Szekely Muhao Chen LMTD 25 47 0 08 May 2022
Rotationally Equivariant 3D Object Detection Hong-Xing Yu Jiajun Wu Li Yi 3DPC 14 29 0 28 Apr 2022
GORDA: Graph-based ORientation Distribution Analysis of SLI scatterometry Patterns of Nerve Fibres Esteban Vaca M. Menzel K. Amunts M. Axer Timo Dickscheid 11 1 0 12 Apr 2022
SE(3)-Equivariant Attention Networks for Shape Reconstruction in Function Space Evangelos Chatzipantazis Stefanos Pertigkiozoglou Edgar Dobriban Kostas Daniilidis 3DPC 27 30 0 05 Apr 2022
Shape-Pose Disentanglement using SE(3)-equivariant Vector Neurons Oren Katzir Dani Lischinski Daniel Cohen-Or 3DPC 27 14 0 03 Apr 2022
Direction of Arrival Estimation of Sound Sources Using Icosahedral CNNs David Diaz-Guerra A. Miguel J. R. Beltrán 15 22 0 31 Mar 2022
Distortion-Tolerant Monocular Depth Estimation On Omnidirectional Images Using Dual-cubemap Zhijie Shen Chunyu Lin Lang Nie K. Liao Yao Zhao MDE 33 15 0 18 Mar 2022
PanoFormer: Panorama Transformer for Indoor 360 Depth Estimation Zhijie Shen Chunyu Lin K. Liao Lang Nie Zishuo Zheng Yao Zhao ViT MDE 27 85 0 17 Mar 2022
ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation Robin Wang Yibo Yang Dacheng Tao 3DPC 14 18 0 08 Mar 2022
RIConv++: Effective Rotation Invariant Convolutions for 3D Point Clouds Deep Learning Zhiyuan Zhang Binh-Son Hua Sai-Kit Yeung 3DPC 30 49 0 26 Feb 2022
Spherical Transformer Sungmin Cho Raehyuk Jung Junseok Kwon ViT 6 9 0 10 Feb 2022
Improving the Sample-Complexity of Deep Classification Networks with Invariant Integration M. Rath A. P. Condurache 25 8 0 08 Feb 2022
Rigidity Preserving Image Transformations and Equivariance in Perspective Lucas Brynte Georg Bökman Axel Flinth Fredrik Kahl 19 3 0 31 Jan 2022
Möbius Convolutions for Spherical CNNs Thomas W. Mitchel Noam Aigerman Vladimir G. Kim Michael Kazhdan 23 11 0 28 Jan 2022
ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes Rahul Sajnani A. Poulenard Jivitesh Jain Radhika Dua Leonidas J. Guibas Srinath Sridhar 3DPC 19 33 0 19 Jan 2022
Pseudocylindrical Convolutions for Learned Omnidirectional Image Compression Mu-Wei Li Kede Ma Jinxing Li Dafan Zhang MDE 6 5 0 25 Dec 2021
Frame Averaging for Equivariant Shape Space Learning Matan Atzmon Koki Nagano Sanja Fidler S. Khamis Y. Lipman FedML 22 13 0 03 Dec 2021
360MonoDepth: High-Resolution 360° Monocular Depth Estimation M. Rey-Area Mingze Yuan Christian Richardt MDE 13 71 0 30 Nov 2021
Implicit Equivariance in Convolutional Networks Naman Khetan Tushar Arora S. U. Rehman D. K. Gupta 31 4 0 28 Nov 2021
DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds R. Wiersma Ahmad Nasikun E. Eisemann Klaus Hildebrandt 3DPC 19 16 0 16 Nov 2021
Learning Augmentation Distributions using Transformed Risk Minimization Evangelos Chatzipantazis Stefanos Pertigkiozoglou Kostas Daniilidis Edgar Dobriban 35 15 0 16 Nov 2021
Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space Jiehong Lin Hongyang Li Ke Chen Jiangbo Lu K. Jia 3DPC 16 20 0 14 Nov 2021
Equivariant Deep Dynamical Model for Motion Prediction Bahar Azari Deniz Erdoğmuş 19 1 0 02 Nov 2021
Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups David M. Knigge David W. Romero Erik J. Bekkers 14 29 0 25 Oct 2021
Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views? M. Farrell Blake Bordelon Shubhendu Trivedi C. Pehlevan 11 5 0 14 Oct 2021