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MoNet: Motion-based Point Cloud Prediction Network

MoNet: Motion-based Point Cloud Prediction Network

21 November 2020
Fan Lu
Guang Chen
Yinlong Liu
Zhijun Li
Sanqing Qu
Tianpei Zou
    3DPC
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Papers citing "MoNet: Motion-based Point Cloud Prediction Network"

36 / 36 papers shown
Title
Temporal Triplane Transformers as Occupancy World Models
Temporal Triplane Transformers as Occupancy World Models
Haoran Xu
Peixi Peng
Guang Tan
Yiqian Chang
Yisen Zhao
Yonghong Tian
136
0
0
10 Mar 2025
Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving
Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving
Yu Yang
Jianbiao Mei
Yukai Ma
Siliang Du
Wenqing Chen
Yijie Qian
Yuxiang Feng
Yong Liu
119
14
0
20 Jan 2025
NeuroGauss4D-PCI: 4D Neural Fields and Gaussian Deformation Fields for Point Cloud Interpolation
NeuroGauss4D-PCI: 4D Neural Fields and Gaussian Deformation Fields for Point Cloud Interpolation
Chaokang Jiang
Dalong Du
Jiuming Liu
Siting Zhu
Zhenqiang Liu
Zhuang Ma
Zhujin Liang
Jie Zhou
63
3
0
23 May 2024
PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences
PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences
Hehe Fan
Xin Yu
Yuhang Ding
Yi Yang
Mohan Kankanhalli
3DPC
148
112
0
27 May 2022
STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and
  Trajectory Prediction
STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction
Zhishuai Zhang
Jiyang Gao
Junhua Mao
Yukai Liu
Dragomir Anguelov
Congcong Li
3DPC
3DH
72
59
0
08 May 2020
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds
  Semantic Segmentation
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation
Yang Zhang
Zixiang Zhou
P. David
Xiangyu Yue
Zerong Xi
Boqing Gong
H. Foroosh
3DPC
71
458
0
31 Mar 2020
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural
  Network for Human Trajectory Prediction
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction
Abduallah A. Mohamed
Kun Qian
Mohamed Elhoseiny
Christian G. Claudel
GNN
81
705
0
27 Feb 2020
3DSSD: Point-based 3D Single Stage Object Detector
3DSSD: Point-based 3D Single Stage Object Detector
Zetong Yang
Yanan Sun
Shu Liu
Jiaya Jia
3DPC
118
938
0
24 Feb 2020
Exploring Spatial-Temporal Multi-Frequency Analysis for High-Fidelity
  and Temporal-Consistency Video Prediction
Exploring Spatial-Temporal Multi-Frequency Analysis for High-Fidelity and Temporal-Consistency Video Prediction
Beibei Jin
Yu Hu
Qiankun Tang
Jingyu Niu
Zhiping Shi
Yinhe Han
Xiaowei Li
49
95
0
23 Feb 2020
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
Shaoshuai Shi
Chaoxu Guo
Li Jiang
Zhe Wang
Jianping Shi
Xiaogang Wang
Hongsheng Li
3DPC
87
1,768
0
31 Dec 2019
Deep Learning for 3D Point Clouds: A Survey
Deep Learning for 3D Point Clouds: A Survey
Yulan Guo
Hanyun Wang
Qingyong Hu
Hao Liu
Li Liu
Bennamoun
3DPC
75
1,664
0
27 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
349
42,299
0
03 Dec 2019
Morphing and Sampling Network for Dense Point Cloud Completion
Morphing and Sampling Network for Dense Point Cloud Completion
Minghua Liu
Lu Sheng
Sheng Yang
Jing Shao
Shimin Hu
3DPC
100
310
0
30 Nov 2019
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
Qingyong Hu
Bo Yang
Linhai Xie
Stefano Rosa
Yulan Guo
Zhihua Wang
A. Trigoni
Andrew Markham
3DPC
90
1,490
0
25 Nov 2019
Argoverse: 3D Tracking and Forecasting with Rich Maps
Argoverse: 3D Tracking and Forecasting with Rich Maps
Ming-Fang Chang
John Lambert
Patsorn Sangkloy
Jagjeet Singh
Sławomir Bąk
...
De Wang
Peter Carr
Simon Lucey
Deva Ramanan
James Hays
3DPC
127
1,292
0
06 Nov 2019
MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences
MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences
Xingyu Liu
Mengyuan Yan
Jeannette Bohg
3DPC
53
193
0
21 Oct 2019
PointRNN: Point Recurrent Neural Network for Moving Point Cloud
  Processing
PointRNN: Point Recurrent Neural Network for Moving Point Cloud Processing
Hehe Fan
Yezhou Yang
3DPC
63
88
0
18 Oct 2019
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and
  Graph Attention Networks
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks
V. Kosaraju
Amir Sadeghian
Roberto Martín-Martín
Ian Reid
S. Hamid Rezatofighi
Silvio Savarese
62
599
0
04 Jul 2019
Human Motion Trajectory Prediction: A Survey
Human Motion Trajectory Prediction: A Survey
Andrey Rudenko
Luigi Palmieri
Michael Herman
Kris Kitani
D. Gavrila
Kai O. Arras
84
731
0
15 May 2019
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
Chris Choy
JunYoung Gwak
Silvio Savarese
3DPC
139
1,780
0
18 Apr 2019
SR-LSTM: State Refinement for LSTM towards Pedestrian Trajectory
  Prediction
SR-LSTM: State Refinement for LSTM towards Pedestrian Trajectory Prediction
Pu Zhang
Wanli Ouyang
Pengfei Zhang
Jianru Xue
Nanning Zheng
58
456
0
07 Mar 2019
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
Shaoshuai Shi
Xiaogang Wang
Hongsheng Li
3DPC
174
2,403
0
11 Dec 2018
SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and
  Physical Constraints
SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints
Amir Sadeghian
V. Kosaraju
A. Sadeghian
Noriaki Hirose
S. Hamid Rezatofighi
Silvio Savarese
90
895
0
05 Jun 2018
FlowNet3D: Learning Scene Flow in 3D Point Clouds
FlowNet3D: Learning Scene Flow in 3D Point Clouds
Xingyu Liu
C. Qi
Leonidas Guibas
3DPC
80
476
0
04 Jun 2018
Social GAN: Socially Acceptable Trajectories with Generative Adversarial
  Networks
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
Agrim Gupta
Justin Johnson
Li Fei-Fei
Silvio Savarese
Alexandre Alahi
GAN
163
1,905
0
29 Mar 2018
SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time
  Road-Object Segmentation from 3D LiDAR Point Cloud
SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud
Bichen Wu
Alvin Wan
Xiangyu Yue
Kurt Keutzer
3DPC
85
805
0
19 Oct 2017
Dual Motion GAN for Future-Flow Embedded Video Prediction
Dual Motion GAN for Future-Flow Embedded Video Prediction
Xiaodan Liang
Lisa Lee
Wei-Ming Dai
Eric Xing
GAN
70
366
0
01 Aug 2017
Decomposing Motion and Content for Natural Video Sequence Prediction
Decomposing Motion and Content for Natural Video Sequence Prediction
Ruben Villegas
Jimei Yang
Seunghoon Hong
Xunyu Lin
Honglak Lee
59
597
0
25 Jun 2017
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric
  Space
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
C. Qi
L. Yi
Hao Su
Leonidas Guibas
3DPC
3DV
311
11,062
0
07 Jun 2017
A Point Set Generation Network for 3D Object Reconstruction from a
  Single Image
A Point Set Generation Network for 3D Object Reconstruction from a Single Image
Haoqiang Fan
Hao Su
Leonidas Guibas
3DPC
3DV
157
2,235
0
02 Dec 2016
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas Guibas
3DH
3DPC
3DV
PINN
438
14,264
0
02 Dec 2016
Video Pixel Networks
Video Pixel Networks
Nal Kalchbrenner
Aaron van den Oord
Karen Simonyan
Ivo Danihelka
Oriol Vinyals
Alex Graves
Koray Kavukcuoglu
69
424
0
03 Oct 2016
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
522
7,977
0
13 Jun 2015
Unsupervised Learning of Video Representations using LSTMs
Unsupervised Learning of Video Representations using LSTMs
Nitish Srivastava
Elman Mansimov
Ruslan Salakhutdinov
SSL
130
2,589
0
16 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.4K
149,842
0
22 Dec 2014
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
808
23,310
0
03 Jun 2014
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