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SO-Net: Self-Organizing Network for Point Cloud Analysis

12 March 2018

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Papers citing "SO-Net: Self-Organizing Network for Point Cloud Analysis"

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Title
Adaptive Graph Convolution for Point Cloud Analysis Hao Zhou Yidan Feng Mingsheng Fang Mingqiang Wei J. Qin Tong Lu 3DPC 103 142 0 18 Aug 2021
RandomRooms: Unsupervised Pre-training from Synthetic Shapes and Randomized Layouts for 3D Object Detection Yongming Rao Benlin Liu Yi Wei Jiwen Lu Cho-Jui Hsieh Jie Zhou 3DPC 107 52 0 17 Aug 2021
Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds Bjoern Michele Alexandre Boulch Gilles Puy Maxime Bucher Renaud Marlet 3DPC DiffM VLM 96 59 0 13 Aug 2021
PVT: Point-Voxel Transformer for Point Cloud Learning Cheng Zhang Haocheng Wan Xinyi Shen Zizhao Wu 3DPC ViT 102 86 0 13 Aug 2021
DRINet: A Dual-Representation Iterative Learning Network for Point Cloud Segmentation Maosheng Ye Shuangjie Xu Tongyi Cao Qifeng Chen 3DPC 126 38 0 09 Aug 2021
Point Discriminative Learning for Data-efficient 3D Point Cloud Analysis Fayao Liu Guosheng Lin Chuan-Sheng Foo Chaitanya K. Joshi Jie Lin 3DPC 29 6 0 04 Aug 2021
CarveNet: Carving Point-Block for Complex 3D Shape Completion Qing Guo Zhijie Wang Felix Juefei Xu Di Lin Lei Ma Wei Feng Yang Liu 3DPC 34 3 0 28 Jul 2021
Multi Point-Voxel Convolution (MPVConv) for Deep Learning on Point Clouds Wei Zhou Xin Cao Xiaodan Zhang Xingxing Hao Dekui Wang Ying He 3DPC 63 14 0 28 Jul 2021
MKConv: Multidimensional Feature Representation for Point Cloud Analysis Sungmin Woo Dogyoon Lee Sangwon Hwang Woojin Kim Sangyoun Lee 3DPC 84 26 0 27 Jul 2021
PU-Flow: a Point Cloud Upsampling Network with Normalizing Flows Aihua Mao Zihui Du Junhui Hou Yaqi Duan Yong Liu Ying He 3DPC 99 37 0 13 Jul 2021
Learn to Learn Metric Space for Few-Shot Segmentation of 3D Shapes Xiang Li Lingjing Wang Yi Fang 3DPC 20 0 0 07 Jul 2021
Learning Semantic Segmentation of Large-Scale Point Clouds with Random Sampling Qingyong Hu Bo Yang Linhai Xie Stefano Rosa Yulan Guo Zhihua Wang Niki Trigoni Andrew Markham 3DPC 88 184 0 06 Jul 2021
Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning Bianli Du Xiang Gao Wei Hu Xin Li 3DPC SSL 79 81 0 05 Jul 2021
3D human tongue reconstruction from single "in-the-wild" images Stylianos Ploumpis Stylianos Moschoglou Vasileios Triantafyllou Stefanos Zafeiriou 3DH 125 6 0 23 Jun 2021
Robust Pooling through the Data Mode Ayman Mukhaimar Ruwan Tennakoon Chow Yin Lai R. Hoseinnezhad A. Bab-Hadiashar 3DPC 3DV OOD 108 3 0 21 Jun 2021
Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline Ankit Goyal Hei Law Bowei Liu Alejandro Newell Jia Deng 3DPC 101 231 0 09 Jun 2021
Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models Chenfeng Xu Shijia Yang Tomer Galanti Bichen Wu Xiangyu Yue Bohan Zhai Wei Zhan Peter Vajda Kurt Keutzer Masayoshi Tomizuka 3DPC 62 55 0 08 Jun 2021
Learning to Stylize Novel Views Hsin-Ping Huang Hung-Yu Tseng Saurabh Saini M. Singh Ming-Hsuan Yang 70 81 0 27 May 2021
Revisiting 2D Convolutional Neural Networks for Graph-based Applications Yecheng Lyu Xinming Huang Ziming Zhang GNN 67 4 0 23 May 2021
Deep Weighted Consensus: Dense correspondence confidence maps for 3D shape registration Dvir Ginzburg D. Raviv 3DPC 37 7 0 06 May 2021
Beyond Self-attention: External Attention using Two Linear Layers for Visual Tasks Meng-Hao Guo Zheng-Ning Liu Tai-Jiang Mu Shimin Hu 74 504 0 05 May 2021
Orienting Point Clouds with Dipole Propagation G. Metzer Rana Hanocka Denis Zorin Raja Giryes Daniele Panozzo Daniel Cohen-Or 3DPC 88 50 0 04 May 2021
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis Tiange Xiang Chaoyi Zhang Yang Song Jianhui Yu Weidong (Tom) Cai 3DPC 205 290 0 04 May 2021
Multi Voxel-Point Neurons Convolution (MVPConv) for Fast and Accurate 3D Deep Learning Wei Zhou Xin Cao Xiaodan Zhang Xingxing Hao Dekui Wang Ying He 3DPC 106 1 0 30 Apr 2021
Point Cloud Learning with Transformer Xian-Feng Han Yuming Kuang ViT 97 34 0 28 Apr 2021
Cross-Level Cross-Scale Cross-Attention Network for Point Cloud Representation Xian-Feng Han Z. He Jia Chen Guoqiang Xiao 3DPC 55 3 0 27 Apr 2021
Dual Transformer for Point Cloud Analysis Xian-Feng Han Yi-Fei Jin Hui Cheng Guoqiang Xiao ViT 89 75 0 27 Apr 2021
Zero-Shot Learning on 3D Point Cloud Objects and Beyond A. Cheraghian Shafin Rahman T. Chowdhury Dylan Campbell L. Petersson 3DPC 46 58 0 11 Apr 2021
DeepI2P: Image-to-Point Cloud Registration via Deep Classification Jiaxin Li G. Lee 3DPC 68 81 0 08 Apr 2021
FatNet: A Feature-attentive Network for 3D Point Cloud Processing Chaitanya Kaul Nick E. Pears S. Manandhar 3DPC 82 26 0 07 Apr 2021
Potential Convolution: Embedding Point Clouds into Potential Fields Dengsheng Chen Haowen Deng Jun Li Duo Li Yao Duan Kai Xu 3DPC 45 0 0 05 Apr 2021
PointShuffleNet: Learning Non-Euclidean Features with Homotopy Equivalence and Mutual Information Linchao He Mengting Luo Dejun Zhang Xiao Yang Hu Chen Yi Zhang 3DPC 43 0 0 31 Mar 2021
Picasso: A CUDA-based Library for Deep Learning over 3D Meshes Huan Lei Naveed Akhtar Ajmal Mian 59 15 0 28 Mar 2021
PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds Mutian Xu Runyu Ding Hengshuang Zhao Xiaojuan Qi 3DPC 144 403 0 26 Mar 2021
Equivariant Point Network for 3D Point Cloud Analysis Haiwei Chen Shichen Liu Weikai Chen Hao Li 3DPC 94 100 0 25 Mar 2021
You Only Group Once: Efficient Point-Cloud Processing with Token Representation and Relation Inference Module Chenfeng Xu Bohan Zhai Bichen Wu Tian Li Wei Zhan Peter Vajda Kurt Keutzer Masayoshi Tomizuka ViT 88 23 0 18 Mar 2021
Deep Learning Based 3D Segmentation: A Survey Yong-xing He Hongshan Yu Xiao-Yang Liu Zhengeng Yang Wei Sun Ajmal Mian 3DPC 128 71 0 09 Mar 2021
EllipsoidNet: Ellipsoid Representation for Point Cloud Classification and Segmentation Yecheng Lyu Xinming Huang Ziming Zhang 3DPC 67 9 0 03 Mar 2021
PIG-Net: Inception based Deep Learning Architecture for 3D Point Cloud Segmentation Sindhu B. Hegde Shankar Gangisetty 3DPC 53 28 0 28 Jan 2021
The Devils in the Point Clouds: Studying the Robustness of Point Cloud Convolutions Xingyi Li Wenxuan Wu Xiaoli Z. Fern Li Fuxin 3DPC 51 4 0 19 Jan 2021
Label-Efficient Point Cloud Semantic Segmentation: An Active Learning Approach Xian Shi Xun Xu Ke Chen Lile Cai Chuan-Sheng Foo Kui Jia 3DPC 75 32 0 18 Jan 2021
Self-Supervised Pretraining of 3D Features on any Point-Cloud Zaiwei Zhang Rohit Girdhar Armand Joulin Ishan Misra 3DPC 217 272 0 07 Jan 2021
Learning Rotation-Invariant Representations of Point Clouds Using Aligned Edge Convolutional Neural Networks Junming Zhang Ming-Yuan Yu Ram Vasudevan Matthew Johnson-Roberson 3DPC 92 24 0 02 Jan 2021
Semantics for Robotic Mapping, Perception and Interaction: A Survey Sourav Garg Niko Sünderhauf Feras Dayoub D. Morrison Akansel Cosgun ... Tat-Jun Chin Ian Reid Stephen Gould Peter Corke Michael Milford 188 117 0 02 Jan 2021
Robust Kernel-based Feature Representation for 3D Point Cloud Analysis via Circular Convolutional Network Seunghwan Jung Y. Shin Minyoung Chung 3DPC 22 5 0 22 Dec 2020
PCT: Point cloud transformer Meng-Hao Guo Junxiong Cai Zheng-Ning Liu Tai-Jiang Mu Ralph Robert Martin Shimin Hu ViT 3DPC 233 1,645 0 17 Dec 2020
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts Ji Hou Benjamin Graham Matthias Nießner Saining Xie 3DPC 134 271 0 16 Dec 2020
I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting Jiahua Dong Yang Cong Gan Sun Bingtao Ma Lichen Wang 3DPC CLL 95 32 0 16 Dec 2020
On Learning the Right Attention Point for Feature Enhancement Liqiang Lin Pengdi Huang FU Chi-Wing XU Kai Hao Zhang Hui Huang 3DPC 72 8 0 11 Dec 2020
Geometric Adversarial Attacks and Defenses on 3D Point Clouds Itai Lang Uriel Kotlicki S. Avidan AAML 3DPC 101 17 0 10 Dec 2020