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In this paper, we propose 3D point-capsule networks, an auto-encoder designed to process sparse 3D point clouds while preserving spatial arrangements of the input data.
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Geoffrey E Hinton, Alex Krizhevsky, and Sida D Wang · 2011
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Dynamic programming
Richard Bellman · 2013
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Point pair features based object detection and pose estimation revisited
Tolga Birdal and Slobodan Ilic · 2015
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Shapenet: An information-rich 3d model repository
Angel X Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, et al · 2015
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3d shapenets: A deep representation for volumetric shapes
Zhirong Wu, Shuran Song, Aditya Khosla, Fisher Yu, Linguang Zhang, Xiaoou Tang, and Jianxiong Xiao · 2015
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Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling
Jiajun Wu, Chengkai Zhang, Tianfan Xue, Bill Freeman, and Josh Tenenbaum · 2016
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A scalable active framework for region annotation in 3d shape collections
Li Yi, Vladimir G Kim, Duygu Ceylan, I Shen, Mengyan Yan, Hao Su, Cewu Lu, Qixing Huang, Alla Sheffer, Leonidas Guibas, et al · 2016
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A point sampling algorithm for 3d matching of irregular geometries
Tolga Birdal and Slobodan Ilic · 2017
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Learning compact geometric features
Marc Khoury, Qian-Yi Zhou, and Vladlen Koltun · 2017
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Pointnet: Deep learning on point sets for 3d classification and segmentation
Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas · 2017
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Pointnet++: Deep hierarchical feature learning on point sets in a metric space
Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J. Guibas · 2017
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Octnet: Learning deep 3d representations at high resolutions
Gernot Riegler, Osman Ulusoy, and Andreas Geiger · 2017
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Dynamic routing between capsules
Sara Sabour, Nicholas Frosst, and Geoffrey E Hinton · 2017
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O-cnn: Octree-based convolutional neural networks for 3d shape analysis
Peng-Shuai Wang, Yang Liu, Yu-Xiao Guo, Chun-Yu Sun, and Xin Tong · 2017
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3dmatch: Learning local geometric descriptors from rgb-d reconstructions
Andy Zeng, Shuran Song, Matthias Nießner, Matthew Fisher, Jianxiong Xiao, and Thomas Funkhouser · 2017
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Learning representations and generative models for 3D point clouds
Panos Achlioptas, Olga Diamanti, Ioannis Mitliagkas, and Leonidas Guibas · 2018
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Generalized capsule networks with trainable routing procedure
Zhenhua Chen and David Crandall · 2018
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Ppf-foldnet: Unsupervised learning of rotation invariant 3d local descriptors
Haowen Deng, Tolga Birdal, and Slobodan Ilic · 2018
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Ppfnet: Global context aware local features for robust 3d point matching
Haowen Deng, Tolga Birdal, and Slobodan Ilic · 2018
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On learning and learned representation with dynamic routing in capsule networks
Ancheng Lin, Jun Li, and Zhenyuan Ma · 2018
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Fast capsnet for lung cancer screening
Aryan Mobiny and Hien Van Nguyen · 2018
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Capsgan: Using dynamic routing for generative adversarial networks
Raeid Saqur and Sal Vivona · 2018
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Pointgrow: Autoregressively learned point cloud generation with self-attention
Yongbin Sun, Yue Wang, Ziwei Liu, Joshua E Siegel, and Sanjay E Sarma · 2018
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Deep functional dictionaries: Learning consistent semantic structures on 3d models from functions
Minhyuk Sung, Hao Su, Ronald Yu, and Leonidas Guibas · 2018
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Monte carlo convolution for learning on non-uniformly sampled point clouds
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Matrix capsules with em routing
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Learning local shape descriptors from part correspondences with multiview convolutional networks
Haibin Huang, Evangelos Kalogerakis, Siddhartha Chaudhuri, Duygu Ceylan, Vladimir G Kim, and Ersin Yumer · 2018
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Capsulegan: Generative adversarial capsule network
Ayush Jaiswal, Wael AbdAlmageed, Yue Wu, and Premkumar Natarajan · 2018
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Capsule networks against medical imaging data challenges
Amelia Jiménez-Sánchez, Shadi Albarqouni, and Diana Mateus · 2018
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Tangent convolutions for dense prediction in 3d
Maxim Tatarchenko, Jaesik Park, Vladlen Koltun, and Qian-Yi Zhou · 2018
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Generative adversarial network architectures for image synthesis using capsule networks
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An optimization view on dynamic routing between capsules
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3d steerable cnns: Learning rotationally equivariant features in volumetric data
Maurice Weiler, Mario Geiger, Max Welling, Wouter Boomsma, and Taco Cohen · 2018
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Foldingnet: Point cloud auto-encoder via deep grid deformation
Yaoqing Yang, Chen Feng, Yiru Shen, and Dong Tian · 2018
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Pu-net: Point cloud upsampling network
Lequan Yu, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, and Pheng-Ann Heng · 2018
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Dynamic graph cnn for learning on point clouds
Ziwei Liu Sanjay E. Sarma Michael M. Bronstein Justin M. Solomon Yue Wang, Yongbin Sun · 2018
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Cappronet: Deep feature learning via orthogonal projections onto capsule subspaces
Liheng Zhang, Marzieh Edraki, and Guo-Jun Qi · 2018
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Voxelnet: End-to-end learning for point cloud based 3d object detection
Yin Zhou and Oncel Tuzel · 2018
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Indoor scene understanding in 2.5/3d for autonomous agents: A survey
Muzammal Naseer, Salman Khan, and Fatih Porikli · 2019
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Fast Dynamic Routing Based on Weighted Kernel Density Estimation
Suofei Zhang, Quan Zhou, and Xiaofu Wu · 2020
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