Spherical CNNs

30 January 2018

Papers citing "Spherical CNNs"

50 / 544 papers shown

Title
RRL:Regional Rotation Layer in Convolutional Neural Networks Zongbo Hao Tao Zhang MingWang Chen Kaixuan Zhou 21 2 0 25 Feb 2022
LPF-Defense: 3D Adversarial Defense based on Frequency Analysis Hanieh Naderi Kimia Noorbakhsh Arian Etemadi S. Kasaei AAML 16 12 0 23 Feb 2022
Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations Alexander Immer Tycho F. A. van der Ouderaa Gunnar Rätsch Vincent Fortuin Mark van der Wilk BDL 44 44 0 22 Feb 2022
360 Depth Estimation in the Wild -- The Depth360 Dataset and the SegFuse Network Qi Feng Hubert P. H. Shum Shigeo Morishima 3DPC MDE 22 24 0 16 Feb 2022
Spherical Transformer Sungmin Cho Raehyuk Jung Junseok Kwon ViT 10 10 0 10 Feb 2022
Equivariance versus Augmentation for Spherical Images Jan E. Gerken Oscar Carlsson Hampus Linander F. Ohlsson Christoffer Petersson Daniel Persson 3DPC 33 18 0 08 Feb 2022
Field-of-View IoU for Object Detection in 360° Images Miao Cao Satoshi Ikehata Kiyoharu Aizawa 22 15 0 07 Feb 2022
GLPanoDepth: Global-to-Local Panoramic Depth Estimation Jia-Chi Bai Shuichang Lai Haoyu Qin Jie Guo Yanwen Guo ViT MDE 69 21 0 06 Feb 2022
Rigidity Preserving Image Transformations and Equivariance in Perspective Lucas Brynte Georg Bökman Axel Flinth Fredrik Kahl 40 3 0 31 Jan 2022
Spherical Convolution empowered FoV Prediction in 360-degree Video Multicast with Limited FoV Feedback Jie Li Ling Han Cong Zhang Qiyue Li Zhi Liu 23 2 0 29 Jan 2022
Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive Matrices Mikolaj Malkiñski Jacek Mańdziuk 125 42 0 28 Jan 2022
Möbius Convolutions for Spherical CNNs Thomas W. Mitchel Noam Aigerman Vladimir G. Kim Michael Kazhdan 27 11 0 28 Jan 2022
From data to functa: Your data point is a function and you can treat it like one Emilien Dupont Hyunjik Kim S. M. Ali Eslami Danilo Jimenez Rezende Dan Rosenbaum TDI 3DPC 181 141 0 28 Jan 2022
Sphere2Vec: Multi-Scale Representation Learning over a Spherical Surface for Geospatial Predictions Gengchen Mai Yao Xuan Wenyun Zuo K. Janowicz Ni Lao 21 4 0 25 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 27 34 0 19 Jan 2022
Noncommutative Geometry of Computational Models and Uniformization for Framed Quiver Varieties G. Jeffreys Siu-Cheong Lau 20 3 0 15 Jan 2022
ACDNet: Adaptively Combined Dilated Convolution for Monocular Panorama Depth Estimation Chuanqing Zhuang Zhengda Lu Yiqun Wang Jun Xiao Ying Wang MDE 25 55 0 29 Dec 2021
Pseudocylindrical Convolutions for Learned Omnidirectional Image Compression Mu Li Kede Ma Jinxing Li Dafan Zhang MDE 30 5 0 25 Dec 2021
Revisiting Transformation Invariant Geometric Deep Learning: Are Initial Representations All You Need? Ziwei Zhang Xin Eric Wang Zeyang Zhang Peng Cui Wenwu Zhu 3DPC 22 6 0 23 Dec 2021
SphereSR: 360° Image Super-Resolution with Arbitrary Projection via Continuous Spherical Image Representation Youngho Yoon Inchul Chung Lin Wang Kuk-Jin Yoon 37 38 0 13 Dec 2021
Gaussian map predictions for 3D surface feature localisation and counting Justin Le Louëdec Grzegorz Cielniak 23 2 0 07 Dec 2021
Revisiting LiDAR Registration and Reconstruction: A Range Image Perspective W. Dong Kwonyoung Ryu Michael Kaess Jaesik Park 3DV 43 5 0 06 Dec 2021
Mesh Convolution with Continuous Filters for 3D Surface Parsing Huan Lei Naveed Akhtar M. Shah Ajmal Mian 3DPC 33 9 0 03 Dec 2021
Frame Averaging for Equivariant Shape Space Learning Matan Atzmon Koki Nagano Sanja Fidler S. Khamis Y. Lipman FedML 38 13 0 03 Dec 2021
360MonoDepth: High-Resolution 360° Monocular Depth Estimation M. Rey-Area Mingze Yuan Christian Richardt MDE 27 71 0 30 Nov 2021
Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models Guilherme Pombo Robert J. Gray M. Jorge Cardoso Sebastien Ourselin G. Rees John Ashburner P. Nachev 36 16 0 29 Nov 2021
Quantised Transforming Auto-Encoders: Achieving Equivariance to Arbitrary Transformations in Deep Networks Jianbo Jiao João F. Henriques BDL OOD MQ 15 2 0 25 Nov 2021
Geometric Priors for Scientific Generative Models in Inertial Confinement Fusion Ankita Shukla Rushil Anirudh E. Kur Jayaraman J. Thiagarajan P. Bremer B. Spears Tammy Ma Pavan Turaga GAN 11 1 0 24 Nov 2021
Deformation Robust Roto-Scale-Translation Equivariant CNNs Liyao (Mars) Gao Guang Lin Wei-wei Zhu 32 8 0 22 Nov 2021
Understanding Pixel-level 2D Image Semantics with 3D Keypoint Knowledge Engine Yang You Chengkun Li Yujing Lou Zhoujun Cheng Liangwei Li Lizhuang Ma Weiming Wang Cewu Lu 3DV 3DPC 27 1 0 21 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
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 Kui Jia 3DPC 27 20 0 14 Nov 2021
Equivariant Deep Dynamical Model for Motion Prediction Bahar Azari Deniz Erdoğmuş 25 1 0 02 Nov 2021
Three approaches to facilitate DNN generalization to objects in out-of-distribution orientations and illuminations Akira Sakai Taro Sunagawa Spandan Madan Kanata Suzuki Takashi Katoh Hiromichi Kobashi Hanspeter Pfister Pawan Sinha Xavier Boix Tomotake Sasaki 19 2 0 30 Oct 2021
Self-Supervised Learning Disentangled Group Representation as Feature Tan Wang Zhongqi Yue Jianqiang Huang Qianru Sun Hanwang Zhang OOD 36 67 0 28 Oct 2021
Learning Partial Equivariances from Data David W. Romero Suhas Lohit 23 28 0 19 Oct 2021
Surrogate- and invariance-boosted contrastive learning for data-scarce applications in science Charlotte Loh T. Christensen Rumen Dangovski Samuel Kim Marin Soljacic 34 17 0 15 Oct 2021
PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation Mohsen Yavartanoo Shih-Hsuan Hung Reyhaneh Neshatavar Yue Zhang Kyoung Mu Lee 19 15 0 15 Oct 2021
Implicit Bias of Linear Equivariant Networks Hannah Lawrence Kristian Georgiev A. Dienes B. Kiani AI4CE 45 14 0 12 Oct 2021
NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse Tasks Renbo Tu Nicholas Roberts M. Khodak Jun Shen Frederic Sala Ameet Talwalkar 28 33 0 12 Oct 2021
Geometric and Physical Quantities Improve E(3) Equivariant Message Passing Johannes Brandstetter Rob D. Hesselink Elise van der Pol Erik J. Bekkers Max Welling 44 231 0 06 Oct 2021
Emergent Neural Network Mechanisms for Generalization to Objects in Novel Orientations A. Cooper Xavier Boix Daniel Harari Spandan Madan Hanspeter Pfister Tomotake Sasaki Pawan Sinha AI4CE 25 1 0 28 Sep 2021
Frequency Pooling: Shift-Equivalent and Anti-Aliasing Downsampling Zhendong Zhang OOD 21 5 0 24 Sep 2021
Automatic Symmetry Discovery with Lie Algebra Convolutional Network Nima Dehmamy Robin Walters Yanchen Liu Dashun Wang Rose Yu AI4CE 78 81 0 15 Sep 2021
SphereFace Revived: Unifying Hyperspherical Face Recognition Weiyang Liu Yandong Wen Bhiksha Raj Rita Singh Adrian Weller 3DH CVBM 39 39 0 12 Sep 2021
Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils Li-Wei Chen Nils Thuerey AI4CE 34 9 0 05 Sep 2021
You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors Haiping Wang Yuan Liu Zhen Dong Wenping Wang 3DPC 41 124 0 01 Sep 2021
Designing Rotationally Invariant Neural Networks from PDEs and Variational Methods Tobias Alt Karl Schrader Joachim Weickert Pascal Peter M. Augustin 30 4 0 31 Aug 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 29 9 0 29 Aug 2021
ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators Qi-Xing Huang Xiangru Huang Bo Sun Zaiwei Zhang Junfeng Jiang Minh Nguyen 45 35 0 21 Aug 2021