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
Large-Scale Person Detection and Localization using Overhead Fisheye Cameras Lu Yang Liulei Li Xueshi Xin Yifan Sun Q. Song Wenguan Wang 31 14 0 17 Jul 2023
HEAL-SWIN: A Vision Transformer On The Sphere Oscar Carlsson Jan E. Gerken H. Linander Heiner Spiess F. Ohlsson Christoffer Petersson Daniel Persson ViT MedIm 29 6 0 14 Jul 2023
Spherical Feature Pyramid Networks For Semantic Segmentation Thomas Walker Varun Anand Pavlos Andreadis 3DPC 11 0 0 05 Jul 2023
Stable and Consistent Prediction of 3D Characteristic Orientation via Invariant Residual Learning Seungwook Kim Chunghyun Park Yoonwoo Jeong Jaesik Park Minsu Cho 3DPC 18 3 0 20 Jun 2023
Towards Stability of Autoregressive Neural Operators Michael McCabe P. Harrington Shashank Subramanian Jed Brown AI4CE 36 17 0 18 Jun 2023
LiDAR-Based Place Recognition For Autonomous Driving: A Survey Yongjun Zhang Pengcheng Shi Jiayuan Li 39 22 0 18 Jun 2023
$E(2)$ -Equivariant Vision Transformer Renjun Xu Kaifan Yang Ke Liu Fengxiang He ViT MDE 19 9 0 11 Jun 2023
Scaling Spherical CNNs Carlos Esteves Jean-Jacques E. Slotine A. Makadia GNN LRM 19 13 0 08 Jun 2023
Dictionary Learning under Symmetries via Group Representations Subhro Ghosh A. R. Low Yong Sheng Soh Zhuohang Feng Brendan K. Y. Tan OOD 13 1 0 31 May 2023
SO(2)-Equivariant Downwash Models for Close Proximity Flight Henry Smith Ajay Shankar Jennifer Gielis J. Blumenkamp A. Prorok 27 7 0 30 May 2023
WinDB: HMD-free and Distortion-free Panoptic Video Fixation Learning Guotao Wang Chenglizhao Chen Aimin Hao Hong Qin Deng-Ping Fan 32 0 0 23 May 2023
Cloud-RAIN: Point Cloud Analysis with Reflectional Invariance Yiming Cui Lecheng Ruan Hang Dong Qiang Li Zhongming Wu T. Zeng Fengyu Fan 3DPC 33 0 0 13 May 2023
Scanpath Prediction in Panoramic Videos via Expected Code Length Minimization Mu-Wei Li Kanglong Fan Kede Ma 24 4 0 04 May 2023
Importance of equivariant and invariant symmetries for fluid flow modeling Varun Shankar Shivam Barwey Zico Kolter R. Maulik V. Viswanathan AI4CE 22 4 0 03 May 2023
CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations Gengchen Mai Ni Lao Yutong He Jiaming Song Stefano Ermon 78 58 0 01 May 2023
Generalizing Neural Human Fitting to Unseen Poses With Articulated SE(3) Equivariance Haiwen Feng Peter Kulits Shichen Liu Michael J. Black Victoria Fernandez-Abrevaya 3DPC 3DH 17 10 0 20 Apr 2023
Panoramic Image-to-Image Translation Soohyun Kim Junho Kim Taekyung Kim Hwan Heo Seung Wook Kim Jiyoung Lee Jin-Hwa Kim 23 2 0 11 Apr 2023
4D Panoptic Segmentation as Invariant and Equivariant Field Prediction Minghan Zhu Shizong Han H. Cai Shubhankar Borse M. G. Jadidi Fatih Porikli 3DPC 38 15 0 28 Mar 2023
CurveCloudNet: Processing Point Clouds with 1D Structure Colton Stearns Davis Rempe Jiateng Liu Alex Fu Sebastien Mascha Jeong Joon Park Despoina Paschalidou Leonidas J. Guibas 3DPC 13 1 0 21 Mar 2023
MELON: NeRF with Unposed Images in SO(3) A. Levy Mark J. Matthews Matan Sela Gordon Wetzstein Dmitry Lagun 35 1 0 14 Mar 2023
Densely Connected $G$ -invariant Deep Neural Networks with Signed Permutation Representations Devanshu Agrawal James Ostrowski AI4CE 28 0 0 08 Mar 2023
CRIN: Rotation-Invariant Point Cloud Analysis and Rotation Estimation via Centrifugal Reference Frame Yujing Lou Zelin Ye Yang You Nianjuan Jiang Jiangbo Lu Weiming Wang Lizhuang Ma Cewu Lu 3DPC 42 7 0 06 Mar 2023
I2P-Rec: Recognizing Images on Large-scale Point Cloud Maps through Bird's Eye View Projections Shuhang Zheng Yixuan Li Zhuopu Yu B. Yu Sixi Cao ... Jintao Xu Rui Ai Weihao Gu L. Luo Hui-Liang Shen 3DPC 21 12 0 02 Mar 2023
Invariant Representations of Embedded Simplicial Complexes Taejin Paik 21 1 0 27 Feb 2023
General Rotation Invariance Learning for Point Clouds via Weight-Feature Alignment Liang Xie Yibo Yang Wenxiao Wang Binbin Lin Deng Cai Xiaofei He Ronghua Liang 3DPC 16 2 0 20 Feb 2023
Random Padding Data Augmentation Nan Yang Laicheng Zhong Fan Huang Dong Yuan Wei Bao 19 2 0 17 Feb 2023
PaRot: Patch-Wise Rotation-Invariant Network via Feature Disentanglement and Pose Restoration Dingxin Zhang Jianhui Yu Chaoyi Zhang Weidong (Tom) Cai 3DPC 19 9 0 06 Feb 2023
Xtal2DoS: Attention-based Crystal to Sequence Learning for Density of States Prediction Junwen Bai Yuanqi Du Yingheng Wang Shufeng Kong J. Gregoire Carla P. Gomes 17 7 0 03 Feb 2023
Towards Learned Emulation of Interannual Water Isotopologue Variations in General Circulation Models J. Wider Jakob Kruse N. Weitzel J. Bühler Ullrich Kothe K. Rehfeld OOD AI4Cl 12 1 0 31 Jan 2023
Equivariant Architectures for Learning in Deep Weight Spaces Aviv Navon Aviv Shamsian Idan Achituve Ethan Fetaya Gal Chechik Haggai Maron 30 63 0 30 Jan 2023
$Optical Flow Estimation in 360$^\circ$ Videos: Dataset, Model and Application$ Optical Flow Estimation in 360 $^\circ$ Videos: Dataset, Model and Application Bin Duan Keshav Bhandari Gaowen Liu Yan Yan 19 0 0 27 Jan 2023
Neural networks learn to magnify areas near decision boundaries Jacob A. Zavatone-Veth Sheng Yang Julian Rubinfien C. Pehlevan MLT AI4CE 20 6 0 26 Jan 2023
Spatially Covariant Lesion Segmentation Hang Zhang Rongguang Wang Jinwei Zhang Dongdong Liu Chao Li Jiahao Nick Li MedIm 31 7 0 19 Jan 2023
Rethinking Rotation Invariance with Point Cloud Registration Jianhui Yu Chaoyi Zhang Weidong (Tom) Cai 3DPC 32 7 0 31 Dec 2022
Equivariant Light Field Convolution and Transformer Yinshuang Xu Jiahui Lei Kostas Daniilidis ViT 14 0 0 30 Dec 2022
Flattening-Net: Deep Regular 2D Representation for 3D Point Cloud Analysis Qijian Zhang Junhui Hou Y. Qian Yiming Zeng Juyong Zhang Ying He 3DPC 32 24 0 17 Dec 2022
Lorentz group equivariant autoencoders Zichun Hao Raghav Kansal Javier Mauricio Duarte N. Chernyavskaya BDL DRL AI4CE 12 23 0 14 Dec 2022
Accidental Turntables: Learning 3D Pose by Watching Objects Turn Zezhou Cheng Matheus Gadelha Subhransu Maji 3DPC 12 1 0 13 Dec 2022
Implicit Convolutional Kernels for Steerable CNNs Maksim Zhdanov Nico Hoffmann Gabriele Cesa 24 5 0 12 Dec 2022
TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis Pavlo Melnyk Andreas Robinson M. Felsberg Maarten Wadenback 3DPC 18 2 0 26 Nov 2022
Spherical convolutional neural networks can improve brain microstructure estimation from diffusion MRI data Leevi Kerkelä K. Seunarine F. Szczepankiewicz C. Clark DiffM MedIm 20 2 0 17 Nov 2022
SPE-Net: Boosting Point Cloud Analysis via Rotation Robustness Enhancement Zhaofan Qiu Yehao Li Yu Wang Yingwei Pan Ting Yao Tao Mei 3DPC 19 5 0 15 Nov 2022
Equivariance with Learned Canonicalization Functions Sekouba Kaba Arnab Kumar Mondal Yan Zhang Yoshua Bengio Siamak Ravanbakhsh 30 61 0 11 Nov 2022
Learning a Task-specific Descriptor for Robust Matching of 3D Point Clouds Zhiyuan Zhang Yuchao Dai Bin Fan Jiadai Sun Mingyi He 3DPC 35 7 0 26 Oct 2022
SphNet: A Spherical Network for Semantic Pointcloud Segmentation Lukas Bernreiter Lionel Ott Roland Siegwart César Cadena 3DPC 12 1 0 24 Oct 2022
Interpolated SelectionConv for Spherical Images and Surfaces David Hart Michael Whitney B. Morse 3DH 18 2 0 18 Oct 2022
In What Ways Are Deep Neural Networks Invariant and How Should We Measure This? Henry Kvinge Tegan H. Emerson Grayson Jorgenson Scott Vasquez T. Doster Jesse D. Lew 43 8 0 07 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 13 11 0 05 Oct 2022
Analysis of (sub-)Riemannian PDE-G-CNNs Gijs Bellaard Daan Bon Gautam Pai B. Smets R. Duits AI4CE 26 12 0 03 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 27 37 0 29 Sep 2022