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
Implicit Bias of Linear Equivariant Networks Hannah Lawrence Kristian Georgiev A. Dienes B. Kiani AI4CE 32 14 0 12 Oct 2021
Equivariant Subgraph Aggregation Networks Beatrice Bevilacqua Fabrizio Frasca Derek Lim Balasubramaniam Srinivasan Chen Cai G. Balamurugan M. Bronstein Haggai Maron 44 174 0 06 Oct 2021
You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors Haiping Wang Yuan-Bin Liu Zhen Dong Wenping Wang 3DPC 27 124 0 01 Sep 2021
RPR-Net: A Point Cloud-based Rotation-aware Large Scale Place Recognition Network Zhaoxin Fan Zhenbo Song Wenping Zhang Hongyan Liu Jun He Xiaoyong Du 3DPC 21 9 0 29 Aug 2021
Geometry-Aware Self-Training for Unsupervised Domain Adaptationon Object Point Clouds Longkun Zou Hui Tang Ke Chen K. Jia 3DPC 18 62 0 20 Aug 2021
Neural TMDlayer: Modeling Instantaneous flow of features via SDE Generators Zihang Meng Vikas Singh Sathya Ravi 24 1 0 19 Aug 2021
WSDesc: Weakly Supervised 3D Local Descriptor Learning for Point Cloud Registration Lei Li Hongbo Fu M. Ovsjanikov 3DPC 13 21 0 05 Aug 2021
PSE-Match: A Viewpoint-free Place Recognition Method with Parallel Semantic Embedding Peng Yin Lingyun Xu Ziyue Feng A. Egorov Bing Li 3DPC 8 18 0 01 Aug 2021
ASOD60K: An Audio-Induced Salient Object Detection Dataset for Panoramic Videos Yi Zhang 13 7 0 24 Jul 2021
Correspondence-Free Point Cloud Registration with SO(3)-Equivariant Implicit Shape Representations Minghan Zhu Maani Ghaffari H. Peng 3DPC 27 36 0 21 Jul 2021
OSLO: On-the-Sphere Learning for Omnidirectional images and its application to 360-degree image compression Navid Mahmoudian Bidgoli Roberto G. de A. Azevedo Thomas Maugey A. Roumy P. Frossard 23 13 0 19 Jul 2021
Robust Pooling through the Data Mode Ayman Mukhaimar Ruwan Tennakoon Chow Yin Lai R. Hoseinnezhad A. Bab-Hadiashar 3DPC 3DV OOD 16 3 0 21 Jun 2021
Equivariant Networks for Pixelized Spheres Mehran Shakerinava Siamak Ravanbakhsh 3DPC 23 19 0 12 Jun 2021
Group Equivariant Subsampling Jin Xu Hyunjik Kim Tom Rainforth Yee Whye Teh 21 21 0 10 Jun 2021
Encoding Involutory Invariances in Neural Networks Anwesh Bhattacharya M. Mattheakis P. Protopapas 19 1 0 07 Jun 2021
Wide-Baseline Relative Camera Pose Estimation with Directional Learning Kefan Chen Noah Snavely A. Makadia 3DH 19 57 0 07 Jun 2021
VolterraNet: A higher order convolutional network with group equivariance for homogeneous manifolds Monami Banerjee Rudrasis Chakraborty Jose J. Bouza B. Vemuri 23 11 0 05 Jun 2021
DISCO: accurate Discrete Scale Convolutions Ivan Sosnovik A. Moskalev A. Smeulders 15 31 0 04 Jun 2021
GemNet: Universal Directional Graph Neural Networks for Molecules Johannes Klicpera Florian Becker Stephan Günnemann AI4CE 19 433 0 02 Jun 2021
Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview Zhaoxin Fan Yazhi Zhu Yulin He Qi Sun Hongyan Liu Jun He 28 82 0 29 May 2021
Geometric Deep Learning and Equivariant Neural Networks Jan E. Gerken J. Aronsson Oscar Carlsson H. Linander F. Ohlsson Christoffer Petersson Daniel Persson MLT 13 66 0 28 May 2021
Homogeneous vector bundles and $G$ -equivariant convolutional neural networks J. Aronsson 19 24 0 12 May 2021
Vector Neurons: A General Framework for SO(3)-Equivariant Networks Congyue Deng Or Litany Yueqi Duan A. Poulenard Andrea Tagliasacchi Leonidas J. Guibas 3DPC 106 315 0 25 Apr 2021
Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering Transforms A. Saydjari D. Finkbeiner 17 20 0 22 Apr 2021
Spherical Multi-Modal Place Recognition for Heterogeneous Sensor Systems Lukas Bernreiter Lionel Ott Juan I. Nieto Roland Siegwart César Cadena 3DPC 11 17 0 17 Apr 2021
Deep Permutation Equivariant Structure from Motion Dror Moran Hodaya Koslowsky Yoni Kasten Haggai Maron Meirav Galun Ronen Basri 3DPC 15 17 0 14 Apr 2021
Autoequivariant Network Search via Group Decomposition Sourya Basu A. Magesh Harshit Yadav L. Varshney 13 6 0 10 Apr 2021
PDO-eS2CNNs: Partial Differential Operator Based Equivariant Spherical CNNs Zhengyang Shen Tiancheng Shen Zhouchen Lin Jinwen Ma 8 18 0 08 Apr 2021
LED2-Net: Monocular 360 Layout Estimation via Differentiable Depth Rendering Fu-En Wang Yu-Hsuan Yeh Min Sun Wei-Chen Chiu Yi-Hsuan Tsai MDE 3DV 11 49 0 01 Apr 2021
Recognizing Actions in Videos from Unseen Viewpoints A. Piergiovanni Michael S. Ryoo 19 25 0 30 Mar 2021
3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding Sheng Deng Xun Xu Chaozheng Wu Ke Chen K. Jia 9 112 0 30 Mar 2021
Equivariant Point Network for 3D Point Cloud Analysis Haiwei Chen Shichen Liu Weikai Chen Hao Li 3DPC 11 99 0 25 Mar 2021
Concentric Spherical GNN for 3D Representation Learning James Fox Bo-Lu Zhao S. Rajamanickam R. Ramprasad Le Song 3DPC 8 4 0 18 Mar 2021
Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving deep spatial transformers A. Chattopadhyay M. Mustafa P. Hassanzadeh Eviatar Bach K. Kashinath AI4CE 16 25 0 16 Mar 2021
CORSAIR: Convolutional Object Retrieval and Symmetry-AIded Registration Tianyu Zhao Qiaojun Feng Sai Jadhav Nikolay A. Atanasov 3DPC 20 8 0 11 Mar 2021
DualPoseNet: Category-level 6D Object Pose and Size Estimation Using Dual Pose Network with Refined Learning of Pose Consistency Jiehong Lin Zewei Wei Zhihao Li Songcen Xu K. Jia Yuanqing Li 3DPC 14 129 0 11 Mar 2021
Perceiver: General Perception with Iterative Attention Andrew Jaegle Felix Gimeno Andrew Brock Andrew Zisserman Oriol Vinyals João Carreira VLM ViT MDE 48 973 0 04 Mar 2021
EllipsoidNet: Ellipsoid Representation for Point Cloud Classification and Segmentation Yecheng Lyu Xinming Huang Ziming Zhang 3DPC 14 9 0 03 Mar 2021
Model-Based Domain Generalization Alexander Robey George J. Pappas Hamed Hassani OOD 43 129 0 23 Feb 2021
Rotation-Equivariant Deep Learning for Diffusion MRI Philip Muller Vladimir Golkov V. Tomassini Daniel Cremers DiffM MedIm 17 28 0 13 Feb 2021
Generative Models as Distributions of Functions Emilien Dupont Yee Whye Teh Arnaud Doucet 22 103 0 09 Feb 2021
Single-Shot Cuboids: Geodesics-based End-to-end Manhattan Aligned Layout Estimation from Spherical Panoramas N. Zioulis Federico Álvarez D. Zarpalas P. Daras 3DV 8 12 0 07 Feb 2021
Scattering Networks on the Sphere for Scalable and Rotationally Equivariant Spherical CNNs Jason D. McEwen C. Wallis Augustine N. Mavor-Parker 31 22 0 04 Feb 2021
Adjoint Rigid Transform Network: Task-conditioned Alignment of 3D Shapes Keyang Zhou Bharat Lal Bhatnagar Bernt Schiele Gerard Pons-Moll 3DPC 16 5 0 01 Feb 2021
Towards glass-box CNNs Manaswini Piduguralla Jignesh S. Bhatt 16 3 0 11 Jan 2021
Spherical Transformer: Adapting Spherical Signal to CNNs Haikuan Du H. Cao Junchi Yan Shen Cai ViT 12 4 0 11 Jan 2021
Self-Supervised Pretraining of 3D Features on any Point-Cloud Zaiwei Zhang Rohit Girdhar Armand Joulin Ishan Misra 3DPC 124 268 0 07 Jan 2021
Conditional Local Convolution for Spatio-temporal Meteorological Forecasting Haitao Lin Zhangyang Gao Yongjie Xu Lirong Wu Ling Li Stan. Z. Li AI4TS 119 72 0 04 Jan 2021
Learning Rotation-Invariant Representations of Point Clouds Using Aligned Edge Convolutional Neural Networks Junming Zhang Ming-Yuan Yu Ram Vasudevan Matthew Johnson-Roberson 3DPC 34 24 0 02 Jan 2021
DeepSphere: a graph-based spherical CNN M. Defferrard Martino Milani Frédérick Gusset Nathanael Perraudin GNN 3DPC 13 85 0 30 Dec 2020