Spherical CNNs

30 January 2018

Papers citing "Spherical CNNs"

50 / 544 papers shown

Title
Self-supervised learning of Split Invariant Equivariant representations Q. Garrido Laurent Najman Yann LeCun SSL 34 32 0 14 Feb 2023
Capsules as viewpoint learners for human pose estimation Nicola Garau Nicola Conci 3DH 24 0 0 13 Feb 2023
Cross-Modal Fine-Tuning: Align then Refine Junhong Shen Liam Li Lucio Dery Corey Staten M. Khodak Graham Neubig Ameet Talwalkar 33 36 0 11 Feb 2023
3D reconstruction from spherical images: A review of techniques, applications, and prospects San Jiang Yaxin Li D. Weng Kan You Wu Chen 15 13 0 09 Feb 2023
Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs Saro Passaro C. L. Zitnick 3DPC 37 80 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 33 10 0 06 Feb 2023
Generative Adversarial Symmetry Discovery Jianke Yang Robin Walters Nima Dehmamy Rose Yu GAN 27 22 0 01 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 22 1 0 31 Jan 2023
Equivariant Differentially Private Deep Learning: Why DP-SGD Needs Sparser Models Florian A. Hölzl Daniel Rueckert Georgios Kaissis 32 4 0 30 Jan 2023
Equivariant Architectures for Learning in Deep Weight Spaces Aviv Navon Aviv Shamsian Idan Achituve Ethan Fetaya Gal Chechik Haggai Maron 49 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 24 0 0 27 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 27 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 48 24 0 17 Dec 2022
Brauer's Group Equivariant Neural Networks Edward Pearce-Crump AI4CE 13 15 0 16 Dec 2022
Attention-Enhanced Cross-modal Localization Between 360 Images and Point Clouds Zhipeng Zhao Huai Yu Chenwei Lyv Wen Yang Sebastian Scherer 3DPC 38 3 0 06 Dec 2022
Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields Rohith Agaram Shaurya Dewan Rahul Sajnani A. Poulenard Madhava Krishna Srinath Sridhar 43 6 0 05 Dec 2022
ViewNet: Unsupervised Viewpoint Estimation from Conditional Generation Octave Mariotti Oisin Mac Aodha Hakan Bilen 26 8 0 01 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
Invariance-Aware Randomized Smoothing Certificates Jan Schuchardt Stephan Günnemann AAML 28 5 0 25 Nov 2022
PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization Sanae Lotfi Marc Finzi Sanyam Kapoor Andres Potapczynski Micah Goldblum A. Wilson BDL MLT AI4CE 29 54 0 24 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
Spherical convolutional neural networks can improve brain microstructure estimation from diffusion MRI data Leevi Kerkelä K. Seunarine F. Szczepankiewicz C. Clark DiffM MedIm 28 2 0 17 Nov 2022
The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry Dian Wang Jung Yeon Park Neel Sortur Lawson L. S. Wong Robin Walters Robert W. Platt AAML 38 34 0 16 Nov 2022
Neurodevelopmental Phenotype Prediction: A State-of-the-Art Deep Learning Model Dániel Unyi Bálint Gyires-Tóth MedIm 19 1 0 16 Nov 2022
Equivariant Networks for Crystal Structures Sekouba Kaba Siamak Ravanbakhsh AI4CE 48 24 0 15 Nov 2022
Grassmann Manifold Flows for Stable Shape Generation Ryoma Yataka Kazuki Hirashima Masashi Shiraishi 27 1 0 05 Nov 2022
Breaking the Symmetry: Resolving Symmetry Ambiguities in Equivariant Neural Networks S. Balachandar A. Poulenard Congyue Deng Leonidas J. Guibas 37 1 0 29 Oct 2022
SphNet: A Spherical Network for Semantic Pointcloud Segmentation Lukas Bernreiter Lionel Ott Roland Siegwart Cesar Cadena 3DPC 38 1 0 24 Oct 2022
Unsupervised Object Representation Learning using Translation and Rotation Group Equivariant VAE Alireza Nasiri Tristan Bepler DRL 27 12 0 24 Oct 2022
Iterative collaborative routing among equivariant capsules for transformation-robust capsule networks Saindhavi Venkataraman S. Balasubramanian R. R. Sarma 19 1 0 20 Oct 2022
Robustcaps: a transformation-robust capsule network for image classification Saindhavi Venkataraman S. Balasubramanian R. R. Sarma 28 2 0 20 Oct 2022
Interpolated SelectionConv for Spherical Images and Surfaces David Hart Michael Whitney B. Morse 3DH 28 2 0 18 Oct 2022
A tradeoff between universality of equivariant models and learnability of symmetries Vasco Portilheiro 40 2 0 17 Oct 2022
Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks Renan A. Rojas-Gomez Teck-Yian Lim Alex Schwing Minh Do Raymond A. Yeh 42 9 0 14 Oct 2022
Sample Efficient Dynamics Learning for Symmetrical Legged Robots:Leveraging Physics Invariance and Geometric Symmetries Jee-eun Lee Jaemin Lee T. Bandyopadhyay Luis Sentis DRL 39 2 0 13 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 51 8 0 07 Oct 2022
Holographic-(V)AE: an end-to-end SO(3)-Equivariant (Variational) Autoencoder in Fourier Space Gian Marco Visani Michael N. Pun Arman Angaji Armita Nourmohammad BDL 24 3 0 30 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 113 26 0 28 Sep 2022
Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions Jeremy Ocampo Matthew Alexander Price Jason D. McEwen 29 14 0 27 Sep 2022
Panoramic Vision Transformer for Saliency Detection in 360° Videos Heeseung Yun Se-Ho Lee Gunhee Kim ViT MDE 55 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 Sebastian Scherer 15 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 35 11 0 13 Sep 2022
Continual Learning for Pose-Agnostic Object Recognition in 3D Point Clouds Xihao Wang Xian Wei 3DPC 43 5 0 11 Sep 2022
Learning to Generate Realistic LiDAR Point Clouds Vlas Zyrianov Xiyue Zhu Shenlong Wang 3DPC DiffM 80 58 0 08 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 31 32 0 07 Sep 2022
BioSLAM: A Bio-inspired Lifelong Memory System for General Place Recognition Peng Yin Abulikemu Abuduweili Shiqi Zhao Changliu Liu Sebastian Scherer CLL 32 15 0 30 Aug 2022
AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels Nicholas Roberts Xintong Li Tzu-Heng Huang Dyah Adila Spencer Schoenberg Chengao Liu Lauren Pick Haotian Ma Aws Albarghouthi Frederic Sala UQCV 38 7 0 30 Aug 2022