MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences

Type: Preprint

Publication Date: 2019-01-01

Citations: 3

DOI: https://doi.org/10.48550/arxiv.1910.09165

Locations

  • arXiv (Cornell University) - View - PDF
  • DataCite API - View

Similar Works

Action Title Year Authors
+ PDF Chat MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences 2019 Xingyu Liu
Mengyuan Yan
Jeannette Bohg
+ PDF Chat Anchor-Based Spatio-Temporal Attention 3-D Convolutional Networks for Dynamic 3-D Point Cloud Sequences 2021 Guangming Wang
Hanwen Liu
Muyao Chen
Yehui Yang
Zhe Liu
Hesheng Wang
+ Anchor-Based Spatial-Temporal Attention Convolutional Networks for Dynamic 3D Point Cloud Sequences. 2020 Guangming Wang
Hanwen Liu
Muyao Chen
Yehui Yang
Zhe Liu
Hesheng Wang
+ PDF Chat Dynamic 3D Point Cloud Sequences as 2D Videos 2024 Yiming Zeng
Junhui Hou
Qijian Zhang
Siyu Ren
Wenping Wang
+ PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences 2022 Hehe Fan
Xin Yu
Yuhang Ding
Yi Yang
Mohan Kankanhalli
+ Spatial-Temporal Transformer for 3D Point Cloud Sequences 2021 Yimin Wei
Hao Liu
Tingting Xie
Qiuhong Ke
Yulan Guo
+ PDF Chat FlowNet3D: Learning Scene Flow in 3D Point Clouds 2019 Xingyu Liu
Charles R. Qi
Leonidas Guibas
+ FlowNet3D: Learning Scene Flow in 3D Point Clouds 2018 Xingyu Liu
Charles R. Qi
Leonidas Guibas
+ PDF Chat Learning Scene Dynamics from Point Cloud Sequences 2021 Pan He
Patrick Emami
Sanjay Ranka
Anand Rangarajan
+ Learning Scene Dynamics from Point Cloud Sequences 2021 Pan He
Patrick Emami
Sanjay Ranka
Anand Rangarajan
+ 3DInAction: Understanding Human Actions in 3D Point Clouds 2023 Yizhak Ben-Shabat
Oren Shrout
Stephen Jay Gould
+ NSM4D: Neural Scene Model Based Online 4D Point Cloud Sequence Understanding 2023 Yuhao Dong
Zhuoyang Zhang
Yunze Liu
Yi Li
+ SequentialPointNet: A strong parallelized point cloud sequence network for 3D action recognition 2021 Xing Li
Qian Huang
Zhijian Wang
Zhenjie Hou
Tianjin Yang
+ PDF Chat MAMBA4D: Efficient Long-Sequence Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space Models 2024 Jiuming Liu
Jinru Han
Lihao Liu
Angelica I. Aviles-Rivero
Chaokang Jiang
Zhe Liu
Hesheng Wang
+ PDF Chat 3DMotion-Net: Learning Continuous Flow Function for 3D Motion Prediction 2020 Shuaihang Yuan
Xiang Li
Anthony Tzes
Yi Fang
+ 3DMotion-Net: Learning Continuous Flow Function for 3D Motion Prediction 2020 Shuaihang Yuan
Xiang Li
Anthony Tzes
Yi Fang
+ PDF Chat Sequential Point Clouds: A Survey 2024 WANG Haiyan
Yingli Tian
+ PDF Chat No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces 2022 Jia-Xing Zhong
Kaichen Zhou
Qingyong Hu
Bing Wang
Niki Trigoni
Andrew Markham
+ No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces 2022 Jia-Xing Zhong
Kaichen Zhou
Qingyong Hu
Bing Wang
Niki Trigoni
Andrew Markham
+ SequentialPointNet: A strong frame-level parallel point cloud sequence network for 3D action recognition 2021 Xing Li
Qian Huang
Zhijian Wang
Zhenjie Hou
Tianjin Yang

Works Cited by This (22)

Action Title Year Authors
+ PDF Chat Learning Spatiotemporal Features with 3D Convolutional Networks 2015 Du Tran
Lubomir Bourdev
Rob Fergus
Lorenzo Torresani
Manohar Paluri
+ PDF Chat 3D ShapeNets: A deep representation for volumetric shapes 2015 Zhirong Wu
Shuran Song
Aditya Khosla
Fisher Yu
Linguang Zhang
Xiaoou Tang
Jianxiong Xiao
+ PDF Chat Beyond short snippets: Deep networks for video classification 2015 Joe Yue-Hei Ng
Matthew Hausknecht
Sudheendra Vijayanarasimhan
Oriol Vinyals
Rajat Monga
George Toderici
+ PDF Chat Long-term recurrent convolutional networks for visual recognition and description 2015 Jeff Donahue
Lisa Anne Hendricks
Sergio Guadarrama
Marcus Rohrbach
Subhashini Venugopalan
Trevor Darrell
Kate Saenko
+ Two-Stream Convolutional Networks for Action Recognition in Videos 2014 Karen Simonyan
Andrew Zisserman
+ PDF Chat Convolutional Two-Stream Network Fusion for Video Action Recognition 2016 Christoph Feichtenhofer
Axel Pinz
Andrew Zisserman
+ PDF Chat PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation 2017 Raffaelli Charles
Hao Su
Kaichun Mo
Leonidas Guibas
+ PDF Chat SPLATNet: Sparse Lattice Networks for Point Cloud Processing 2018 Hang Su
Varun Jampani
Deqing Sun
Subhransu Maji
Evangelos Kalogerakis
Ming–Hsuan Yang
Jan Kautz
+ Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net 2020 Wenjie Luo
Bin Yang
Raquel Urtasun
+ PDF Chat PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud 2019 Shaoshuai Shi
Xiaogang Wang
Hongsheng Li