Spherical CNNs

30 January 2018

Papers citing "Spherical CNNs"

50 / 544 papers shown

Title
Dilated Convolutional Neural Networks for Sequential Manifold-valued Data Xingjian Zhen Rudrasis Chakraborty Nicholas M. Vogt B. Bendlin Vikas Singh MedIm 30 35 0 05 Oct 2019
360-Indoor: Towards Learning Real-World Objects in 360° Indoor Equirectangular Images Shih-Han Chou Cheng Sun Wen-Yen Chang Klemens Böhm Min Sun Jianlong Fu 3DPC 36 49 0 03 Oct 2019
B-Spline CNNs on Lie Groups Erik J. Bekkers AI4CE 37 129 0 26 Sep 2019
Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds Huan Lei Naveed Akhtar Ajmal Mian 3DPC 30 166 0 20 Sep 2019
Spherical View Synthesis for Self-Supervised 360 Depth Estimation N. Zioulis Antonis Karakottas D. Zarpalas Federico Álvarez P. Daras MDE 22 98 0 17 Sep 2019
Learning an Effective Equivariant 3D Descriptor Without Supervision Riccardo Spezialetti Samuele Salti Luigi Di Stefano SSL 25 40 0 15 Sep 2019
Efficient Learning on Point Clouds with Basis Point Sets Sergey Prokudin Christoph Lassner Javier Romero 3DPC 18 117 0 24 Aug 2019
Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes Sameera Ramasinghe Salman Khan Nick Barnes Stephen Gould 3DPC 25 4 0 24 Aug 2019
Building Deep, Equivariant Capsule Networks Sairaam Venkatraman S. Balasubramanian R. R. Sarma 3DPC 11 27 0 04 Aug 2019
Orientation-aware Semantic Segmentation on Icosahedron Spheres Chao Zhang Stephan Liwicki William A. P. Smith R. Cipolla 14 80 0 30 Jul 2019
Reprojection R-CNN: A Fast and Accurate Object Detector for 360° Images Pengyu Zhao Ansheng You Yuanxing Zhang Jiaying Liu Kaigui Bian Yunhai Tong ObjD 25 3 0 27 Jul 2019
Analog forecasting of extreme-causing weather patterns using deep learning Ashesh Chattopadhyay Ebrahim Nabizadeh Pedram Hassanzadeh 10 142 0 26 Jul 2019
Pano Popups: Indoor 3D Reconstruction with a Plane-Aware Network Marc Eder Pierre Moulon Li Guan 42 50 0 01 Jul 2019
Effective Rotation-invariant Point CNN with Spherical Harmonics kernels A. Poulenard Marie-Julie Rakotosaona Yann Ponty M. Ovsjanikov 3DPC 28 102 0 27 Jun 2019
Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness Fanny Yang Zuowen Wang C. Heinze-Deml 28 42 0 26 Jun 2019
Mapped Convolutions Marc Eder True Price Thanh Tien Vu Akash Bapat Jan-Michael Frahm 6 28 0 26 Jun 2019
SurReal: Fréchet Mean and Distance Transform for Complex-Valued Deep Learning Rudrasis Chakraborty Jiayun Wang Stella X. Yu 19 15 0 24 Jun 2019
Equivariant neural networks and equivarification Erkao Bao Linqi Song 9 15 0 16 Jun 2019
Stand-Alone Self-Attention in Vision Models Prajit Ramachandran Niki Parmar Ashish Vaswani Irwan Bello Anselm Levskaya Jonathon Shlens VLM SLR ViT 38 1,199 0 13 Jun 2019
Learning Symmetries of Classical Integrable Systems Roberto Bondesan A. Lamacraft 22 39 0 11 Jun 2019
Cormorant: Covariant Molecular Neural Networks Brandon M. Anderson Truong-Son Hy Risi Kondor 42 421 0 06 Jun 2019
Covariance in Physics and Convolutional Neural Networks Miranda C. N. Cheng V. Anagiannis Maurice Weiler P. D. Haan Taco S. Cohen Max Welling 51 18 0 06 Jun 2019
Counting and Segmenting Sorghum Heads Min Hwan Oh Peder Olsen Karthikeyan N. Ramamurthy 21 15 0 30 May 2019
Deep Scale-spaces: Equivariance Over Scale Daniel E. Worrall Max Welling BDL 24 166 0 28 May 2019
Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds Michael Perlmutter Feng Gao Guy Wolf M. Hirn 19 13 0 24 May 2019
Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple Views Zhizhong Han Xinhai Liu Yu-Shen Liu Matthias Zwicker 3DPC 28 39 0 18 May 2019
3DViewGraph: Learning Global Features for 3D Shapes from A Graph of Unordered Views with Attention Zhizhong Han Xiyang Wang Chi-Man Vong Yu-Shen Liu Matthias Zwicker C. L. P. Chen 3DPC 21 38 0 17 May 2019
Learning to Convolve: A Generalized Weight-Tying Approach Nichita Diaconu Daniel E. Worrall MLT 30 20 0 12 May 2019
DeepSphere: towards an equivariant graph-based spherical CNN M. Defferrard Nathanael Perraudin T. Kacprzak R. Sgier GNN 34 24 0 08 Apr 2019
Modeling Point Clouds with Self-Attention and Gumbel Subset Sampling Jiancheng Yang Qiang Zhang Bingbing Ni Linguo Li Jinxian Liu Mengdie Zhou Qi Tian 3DPC 38 379 0 06 Apr 2019
3DRegNet: A Deep Neural Network for 3D Point Registration Goncalo Dias Pais Srikumar Ramalingam V. Govindu Jacinto C. Nascimento Rama Chellappa Pedro Miraldo 3DPC 3DV 44 219 0 02 Apr 2019
Equivariant Multi-View Networks Carlos Esteves Yinshuang Xu Christine Allen-Blanchette Kostas Daniilidis 3DPC 19 98 0 01 Apr 2019
Spherical U-Net on Cortical Surfaces: Methods and Applications Fenqiang Zhao Shun-ren Xia Zhengwang Wu Dingna Duan Li Wang Weili Lin J. Gilmore Dinggang Shen Gang Li 26 58 0 01 Apr 2019
Discrete Rotation Equivariance for Point Cloud Recognition Jiaxin Li Yingcai Bi Gim Hee Lee 3DPC 27 24 0 31 Mar 2019
Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods Guo-Jun Qi Jiebo Luo SSL 14 238 0 27 Mar 2019
Approximation and Non-parametric Estimation of ResNet-type Convolutional Neural Networks Kenta Oono Taiji Suzuki 35 58 0 24 Mar 2019
Equivariant Entity-Relationship Networks Devon R. Graham Junhao Wang Siamak Ravanbakhsh 16 8 0 21 Mar 2019
Corners for Layout: End-to-End Layout Recovery from 360 Images Clara Fernandez-Labrador José M. Fácil Alejandro Pérez-Yus C. Demonceaux Javier Civera Jose J. Guerrero 3DV 17 100 0 19 Mar 2019
HexagDLy - Processing hexagonally sampled data with CNNs in PyTorch C. Steppa T. Holch 24 37 0 05 Mar 2019
Octree guided CNN with Spherical Kernels for 3D Point Clouds Huan Lei Naveed Akhtar Ajmal Mian 3DPC 19 141 0 28 Feb 2019
Adversarial Attack and Defense on Point Sets Jiancheng Yang Qiang Zhang Rongyao Fang Bingbing Ni Jinxian Liu Qi Tian 3DPC 24 122 0 28 Feb 2019
Motion Equivariant Networks for Event Cameras with the Temporal Normalization Transform A. Z. Zhu Ziyun Wang Kostas Daniilidis ViT 3DPC 28 7 0 18 Feb 2019
Gauge Equivariant Convolutional Networks and the Icosahedral CNN Taco S. Cohen Maurice Weiler Berkay Kicanaoglu Max Welling 61 404 0 11 Feb 2019
On the Universality of Invariant Networks Haggai Maron Ethan Fetaya Nimrod Segol Y. Lipman OOD 17 236 0 27 Jan 2019
Equivariant Transformer Networks Kai Sheng Tai Peter Bailis Gregory Valiant ViT 19 69 0 25 Jan 2019
Fast Markov Chain Monte Carlo Algorithms via Lie Groups Steve Huntsman 29 2 0 24 Jan 2019
TraceCaps: A Capsule-based Neural Network for Semantic Segmentation Tao Sun Zhewei Wang Charles D. Smith Jundong Liu 16 1 0 09 Jan 2019
Spherical CNNs on Unstructured Grids Chiyu “Max” Jingwei Huang K. Kashinath Lawrence Berkeley Nat’l Lab P. Marcus Matthias Niessner 22 182 0 07 Jan 2019
Unsupervised Learning of Depth and Ego-Motion from Cylindrical Panoramic Video Alisha Sharma Jonathan Ventura MDE 39 4 0 04 Jan 2019
Volumetric Convolution: Automatic Representation Learning in Unit Ball Sameera Ramasinghe Salman Khan Nick Barnes 17 4 0 03 Jan 2019