Spherical CNNs

30 January 2018

Papers citing "Spherical CNNs"

50 / 544 papers shown

Title
Neural TMDlayer: Modeling Instantaneous flow of features via SDE Generators Zihang Meng Vikas Singh Sathya Ravi 40 1 0 19 Aug 2021
DECA: Deep viewpoint-Equivariant human pose estimation using Capsule Autoencoders Nicola Garau N. Bisagno Piotr Bródka Nicola Conci 19 27 0 19 Aug 2021
WSDesc: Weakly Supervised 3D Local Descriptor Learning for Point Cloud Registration Lei Li Hongbo Fu M. Ovsjanikov 3DPC 16 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 18 18 0 01 Aug 2021
SpectGRASP: Robotic Grasping by Spectral Correlation Maxime Adjigble Cristiana Miranda de Farias Rustam Stolkin Naresh Marturi 20 7 0 26 Jul 2021
Circular-Symmetric Correlation Layer based on FFT Bahar Azari Deniz Erdogmus 36 1 0 26 Jul 2021
6DCNN with roto-translational convolution filters for volumetric data processing Dmitrii Zhemchuzhnikov Ilia Igashov Sergei Grudinin 3DPC 27 2 0 26 Jul 2021
ASOD60K: An Audio-Induced Salient Object Detection Dataset for Panoramic Videos Yi Zhang 21 7 0 24 Jul 2021
Learning to Transfer: A Foliated Theory Janith C. Petangoda M. Deisenroth N. Monk 23 0 0 22 Jul 2021
Large-scale graph representation learning with very deep GNNs and self-supervision Ravichandra Addanki Peter W. Battaglia David Budden Andreea Deac Jonathan Godwin ... Wai Lok Sibon Li Alvaro Sanchez-Gonzalez Jacklynn Stott S. Thakoor Petar Velivcković SSL AI4CE 27 25 0 20 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 36 13 0 19 Jul 2021
Equivariant Manifold Flows Isay Katsman Aaron Lou Derek Lim Qingxuan Jiang Ser-Nam Lim Christopher De Sa AI4CE 25 25 0 19 Jul 2021
Learning Identity-Preserving Transformations on Data Manifolds Marissa Connor Kion Fallah Christopher Rozell 37 6 0 22 Jun 2021
Category Theory in Machine Learning Dan Shiebler Bruno Gavranović Paul W. Wilson 24 31 0 13 Jun 2021
Equivariant Networks for Pixelized Spheres Mehran Shakerinava Siamak Ravanbakhsh 3DPC 31 19 0 12 Jun 2021
Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales Ylva Jansson T. Lindeberg 13 23 0 11 Jun 2021
Group Equivariant Subsampling Jin Xu Hyunjik Kim Tom Rainforth Yee Whye Teh 26 21 0 10 Jun 2021
Commutative Lie Group VAE for Disentanglement Learning Xinqi Zhu Chang Xu Dacheng Tao CoGe DRL 40 22 0 07 Jun 2021
Wide-Baseline Relative Camera Pose Estimation with Directional Learning Kefan Chen Noah Snavely A. Makadia 3DH 35 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 36 11 0 05 Jun 2021
SE(3)-equivariant prediction of molecular wavefunctions and electronic densities Oliver T. Unke Mihail Bogojeski M. Gastegger Mario Geiger Tess E. Smidt Klaus-Robert Muller 34 87 0 04 Jun 2021
Provably Strict Generalisation Benefit for Invariance in Kernel Methods Bryn Elesedy 22 27 0 04 Jun 2021
GemNet: Universal Directional Graph Neural Networks for Molecules Johannes Klicpera Florian Becker Stephan Günnemann AI4CE 39 438 0 02 Jun 2021
Rotation Equivariant Feature Image Pyramid Network for Object Detection in Optical Remote Sensing Imagery Pourya Shamsolmoali Masoumeh Zareapoor Jocelyn Chanussot Huiyu Zhou Jie Yang ObjD 19 35 0 02 Jun 2021
Geometric Deep Learning and Equivariant Neural Networks Jan E. Gerken J. Aronsson Oscar Carlsson Hampus Linander F. Ohlsson Christoffer Petersson Daniel Persson MLT 13 67 0 28 May 2021
i3dLoc: Image-to-range Cross-domain Localization Robust to Inconsistent Environmental Conditions Peng Yin Lingyun Xu Ji Zhang Howie Choset Sebastian Scherer 17 19 0 27 May 2021
Homogeneous vector bundles and $G$ -equivariant convolutional neural networks J. Aronsson 35 24 0 12 May 2021
Truly shift-equivariant convolutional neural networks with adaptive polyphase upsampling Anadi Chaman Ivan Dokmanić 30 8 0 09 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 125 318 0 25 Apr 2021
Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering Transforms A. Saydjari D. Finkbeiner 33 20 0 22 Apr 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups Marc Finzi Max Welling A. Wilson 79 187 0 19 Apr 2021
Spherical Multi-Modal Place Recognition for Heterogeneous Sensor Systems Lukas Bernreiter Lionel Ott Juan I. Nieto Roland Siegwart Cesar Cadena 3DPC 19 17 0 17 Apr 2021
Aligning Latent and Image Spaces to Connect the Unconnectable Ivan Skorokhodov Grigorii Sotnikov Mohamed Elhoseiny DiffM 27 78 0 14 Apr 2021
Autoequivariant Network Search via Group Decomposition Sourya Basu A. Magesh Harshit Yadav Lav Varshney 27 6 0 10 Apr 2021
PDO-eS2CNNs: Partial Differential Operator Based Equivariant Spherical CNNs Zhengyang Shen Tiancheng Shen Zhouchen Lin Jinwen Ma 24 18 0 08 Apr 2021
Semi-supervised Viewpoint Estimation with Geometry-aware Conditional Generation Octave Mariotti Hakan Bilen GAN 29 8 0 02 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 27 49 0 01 Apr 2021
Near-field Perception for Low-Speed Vehicle Automation using Surround-view Fisheye Cameras Ciarán Eising Jonathan Horgan S. Yogamani 29 45 0 31 Mar 2021
Recognizing Actions in Videos from Unseen Viewpoints A. Piergiovanni Michael S. Ryoo 27 25 0 30 Mar 2021
Unsupervised Hyperbolic Representation Learning via Message Passing Auto-Encoders Jiwoong Park Junho Cho H. Chang J. Choi SSL 27 23 0 30 Mar 2021
Equivariant Point Network for 3D Point Cloud Analysis Haiwei Chen Shichen Liu Weikai Chen Hao Li 3DPC 19 99 0 25 Mar 2021
Beyond Visual Attractiveness: Physically Plausible Single Image HDR Reconstruction for Spherical Panoramas Wei Wei Li Guan Yue Liu Hao Kang Haoxiang Li Ying Nian Wu G. Hua 3DV 24 3 0 24 Mar 2021
Concentric Spherical GNN for 3D Representation Learning James Fox Bo Zhao S. Rajamanickam R. Ramprasad Le Song 3DPC 24 4 0 18 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 Kui Jia Yuanqing Li 3DPC 35 129 0 11 Mar 2021
Disentangling Geometric Deformation Spaces in Generative Latent Shape Models Tristan Aumentado-Armstrong Stavros Tsogkas Sven J. Dickinson Allan D. Jepson OCL DRL 28 6 0 27 Feb 2021
Provably Strict Generalisation Benefit for Equivariant Models Bryn Elesedy Sheheryar Zaidi AI4CE 24 83 0 20 Feb 2021
Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data Axel Elaldi Neel Dey Heejong Kim Guido Gerig 30 18 0 17 Feb 2021
Topological Obstructions to Autoencoding Joshua D. Batson C. G. Haaf Yonatan Kahn Daniel A. Roberts AI4CE 44 37 0 16 Feb 2021
Rotation-Equivariant Deep Learning for Diffusion MRI Philip Muller Vladimir Golkov V. Tomassini Daniel Cremers DiffM MedIm 25 28 0 13 Feb 2021
Addressing the Topological Defects of Disentanglement via Distributed Operators Diane Bouchacourt Mark Ibrahim Stéphane Deny 19 22 0 10 Feb 2021