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Dynamic Graph CNN for Learning on Point Clouds
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2019
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Yue Wang
Yongbin Sun
Ziwei Liu
Sanjay E. Sarma
Michael M. Bronstein
Justin Solomon
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7
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KPConv: Flexible and Deformable Convolution for Point Clouds
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2019
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Hugues Thomas
Charles R. Qi
JeanâEmmanuel Deschaud
Beatriz Marcotegui
François Goulette
Leonidas Guibas
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7
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PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
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2017
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Raffaelli Charles
Hao Su
Kaichun Mo
Leonidas Guibas
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6
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3D ShapeNets: A deep representation for volumetric shapes
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2015
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Zhirong Wu
Shuran Song
Aditya Khosla
Fisher Yu
Linguang Zhang
Xiaoou Tang
Jianxiong Xiao
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5
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Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling
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2018
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Yiru Shen
Chen Feng
Yaoqing Yang
Dong Tian
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5
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4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
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2019
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Christopher Choy
JunYoung Gwak
Silvio Savarese
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5
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FPConv: Learning Local Flattening for Point Convolution
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2020
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Yiqun Lin
Zizheng Yan
Haibin Huang
Dong Du
Ligang Liu
Shuguang Cui
Xiaoguang Han
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5
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PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
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2017
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Charles R. Qi
Yi Li
Hao Su
Leonidas Guibas
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5
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Relation-Shape Convolutional Neural Network for Point Cloud Analysis
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2019
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Yongcheng Liu
Bin Fan
Shiming Xiang
Chunhong Pan
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5
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SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
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2018
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Yifan Xu
Tianqi Fan
Mingye Xu
Long Zeng
Yu Qiao
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5
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PointConv: Deep Convolutional Networks on 3D Point Clouds
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2019
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Wenxuan Wu
Zhongang Qi
Fuxin Li
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5
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Frustum PointNets for 3D Object Detection from RGB-D Data
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2018
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Charles R. Qi
Wei Liu
Chenxia Wu
Hao Su
Leonidas Guibas
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5
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Geometry Sharing Network for 3D Point Cloud Classification and Segmentation
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2020
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Mingye Xu
Zhipeng Zhou
Yu Qiao
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5
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DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing
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2019
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Yongcheng Liu
Bin Fan
Gaofeng Meng
Jiwen Lu
Shiming Xiang
Chunhong Pan
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4
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Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data
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2019
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Mikaela Angelina Uy
Quang-Hieu Pham
BinhâSon Hua
Thanh Thi Nguyen
Sai-Kit Yeung
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4
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Interpolated Convolutional Networks for 3D Point Cloud Understanding
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2019
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Jiageng Mao
Xiaogang Wang
Hongsheng Li
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4
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3D Semantic Segmentation with Submanifold Sparse Convolutional Networks
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2018
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Benjamin Graham
Martin Engelcke
Laurens van der Maaten
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4
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Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-Based Sequence to Sequence Network
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2019
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Xinhai Liu
Zhizhong Han
Yu-Shen Liu
Matthias Zwicker
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4
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Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud
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2021
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Mutian Xu
Junhao Zhang
Zhipeng Zhou
Mingye Xu
Xiaojuan Qi
Yu Qiao
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4
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Deep Residual Learning for Image Recognition
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2016
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Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
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4
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Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation
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2019
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Li Jiang
Hengshuang Zhao
Shu Liu
Xiaoyong Shen
ChiâWing Fu
Jiaya Jia
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3
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Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models
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2017
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Roman Klokov
Victor Lempitsky
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3
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Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
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2017
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Martin Simonovsky
Nikos Komodakis
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3
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Non-local Neural Networks
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2018
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Xiaolong Wang
Ross Girshick
Abhinav Gupta
Kaiming He
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3
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Matterport3D: Learning from RGB-D Data in Indoor Environments
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2017
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Anne Lynn S. Chang
Angela Dai
Thomas Funkhouser
Maciej Halber
Matthias NieBner
Manolis Savva
Shuran Song
Andy Zeng
Yinda Zhang
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3
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ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes
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2017
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Angela Dai
Anne Lynn S. Chang
Manolis Savva
Maciej Halber
Thomas Funkhouser
Matthias NieĂner
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3
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SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation
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2017
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Li Yi
Hao Su
Xingwen Guo
Leonidas Guibas
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3
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Attention Is All You Need
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2017
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Ashish Vaswani
Noam Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan N. Gomez
Ĺukasz Kaiser
Illia Polosukhin
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3
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Local Spectral Graph Convolution for Point Set Feature Learning
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2018
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Chu Wang
Babak Samari
Kaleem Siddiqi
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3
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Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
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2021
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Tiange Xiang
Chaoyi Zhang
Yang Song
Jianhui Yu
Weidong Cai
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3
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A Closer Look at Local Aggregation Operators in Point Cloud Analysis
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2020
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Ze Liu
Han Hu
Yue Cao
Zheng Zhang
Xin Tong
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3
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PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
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2021
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Mutian Xu
Runyu Ding
Hengshuang Zhao
Xiaojuan Qi
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3
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Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling
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2020
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Wenkai Han
Chenglu Wen
Cheng Wang
Xin Li
Qing Li
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3
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Grid-GCN for Fast and Scalable Point Cloud Learning
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2020
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Qiangeng Xu
Xudong Sun
Cho-Ying Wu
Panqu Wang
Ulrich Neumann
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3
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Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
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2015
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Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
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3
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Deep Hough Voting for 3D Object Detection in Point Clouds
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2019
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Charles R. Qi
Or Litany
Kaiming He
Leonidas Guibas
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2
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SPLATNet: Sparse Lattice Networks for Point Cloud Processing
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2018
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Hang Su
Varun Jampani
Deqing Sun
Subhransu Maji
Evangelos Kalogerakis
MingâHsuan Yang
Jan Kautz
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2
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OctNet: Learning Deep 3D Representations at High Resolutions
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2017
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Gernot Riegler
Ali Osman Ulusoy
Andreas Geiger
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2
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ABC: A Big CAD Model Dataset for Geometric Deep Learning
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2019
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Sebastian Koch
Albert Matveev
Zhongshi Jiang
Francis Williams
Alexey Artemov
Evgeny Burnaev
Marc Alexa
Denis Zorin
Daniele Panozzo
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2
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The Kinetics Human Action Video Dataset
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2017
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Andrew Zisserman
JoĂŁo Carreira
Karen Simonyan
Will Kay
Brian Zhang
Chloe Hillier
Sudheendra Vijayanarasimhan
Fabio Viola
T.C. Green
Trevor Back
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2
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Point convolutional neural networks by extension operators
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2018
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Matan Atzmon
Haggai Maron
Yaron Lipman
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2
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Scan2CAD: Learning CAD Model Alignment in RGB-D Scans
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2019
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Armen Avetisyan
Manuel Dahnert
Angela Dai
Manolis Savva
Anne Lynn S. Chang
Matthias NieBner
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2
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Discrete Signal Processing on Graphs: Frequency Analysis
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2014
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Aliaksei Sandryhaila
JosĂŠ M. F. Moura
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2
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VV-Net: Voxel VAE Net With Group Convolutions for Point Cloud Segmentation
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2019
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Hsien-Yu Meng
Lin Gao
YuâKun Lai
Dinesh Manocha
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2
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Recurrent Slice Networks for 3D Segmentation of Point Clouds
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2018
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Qiangui Huang
Weiyue Wang
Ulrich Neumann
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2
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Multimodal Unsupervised Image-to-Image Translation
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2018
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Xun Huang
Ming-Yu Liu
Serge Belongie
Jan Kautz
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2
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Fast Resampling of Three-Dimensional Point Clouds via Graphs
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2017
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Siheng Chen
Dong Tian
Chen Feng
Anthony Vetro
Jelena KovaÄeviÄ
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2
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SEGCloud: Semantic Segmentation of 3D Point Clouds
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2017
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Lyne P. Tchapmi
Christopher Choy
Iro Armeni
JunYoung Gwak
Silvio Savarese
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2
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Deep Projective 3D Semantic Segmentation
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2017
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Felix Järemo Lawin
Martin Danelljan
Patrik Tosteberg
Goutam Bhat
Fahad Shahbaz Khan
Michael Felsberg
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2
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Modeling Local Geometric Structure of 3D Point Clouds Using Geo-CNN
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2019
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Shiyi Lan
Ruichi Yu
Gang Yu
Larry S. Davis
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2
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