ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1706.02413
  4. Cited By
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric
  Space

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

7 June 2017
C. Qi
L. Yi
Hao Su
Leonidas J. Guibas
    3DPC
    3DV
ArXivPDFHTML

Papers citing "PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space"

50 / 1,838 papers shown
Title
Rethinking Task and Metrics of Instance Segmentation on 3D Point Clouds
Rethinking Task and Metrics of Instance Segmentation on 3D Point Clouds
Kosuke Arase
Yusuke Mukuta
Tatsuya Harada
3DPC
30
6
0
27 Sep 2019
Hierarchical Point-Edge Interaction Network for Point Cloud Semantic
  Segmentation
Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation
Li Jiang
Hengshuang Zhao
Shu Liu
Xiaoyong Shen
Chi-Wing Fu
Jiaya Jia
3DPC
29
193
0
23 Sep 2019
Go Wider: An Efficient Neural Network for Point Cloud Analysis via Group
  Convolutions
Go Wider: An Efficient Neural Network for Point Cloud Analysis via Group Convolutions
Can Chen
L. Z. Fragonara
Antonios Tsourdos
3DPC
21
8
0
23 Sep 2019
Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds
Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds
Huan Lei
Naveed Akhtar
Ajmal Mian
3DPC
30
166
0
20 Sep 2019
CvxNet: Learnable Convex Decomposition
CvxNet: Learnable Convex Decomposition
Boyang Deng
Kyle Genova
S. Yazdani
Sofien Bouaziz
Geoffrey E. Hinton
Andrea Tagliasacchi
39
252
0
12 Sep 2019
Deep Learning for Automated Classification and Characterization of
  Amorphous Materials
Deep Learning for Automated Classification and Characterization of Amorphous Materials
K. Swanson
Shubhendu Trivedi
Joshua Lequieu
Kyle Swanson
Risi Kondor
24
37
0
10 Sep 2019
Robust Multi-Modality Multi-Object Tracking
Robust Multi-Modality Multi-Object Tracking
Wenwei Zhang
Hui Zhou
Shuyang Sun
Zhe Wang
Jianping Shi
Chen Change Loy
VOT
19
191
0
09 Sep 2019
DensePoint: Learning Densely Contextual Representation for Efficient
  Point Cloud Processing
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing
Yongcheng Liu
Bin Fan
Gaofeng Meng
Jiwen Lu
Shiming Xiang
Chunhong Pan
3DPC
128
271
0
09 Sep 2019
DublinCity: Annotated LiDAR Point Cloud and its Applications
DublinCity: Annotated LiDAR Point Cloud and its Applications
S. M. J. Zolanvari
Susana Ruano
A. Rana
Alan Cummins
Rogério E. da Silva
M. Rahbar
A. Smolic
3DV
3DPC
26
90
0
06 Sep 2019
StarNet: Targeted Computation for Object Detection in Point Clouds
StarNet: Targeted Computation for Object Detection in Point Clouds
Jiquan Ngiam
Benjamin Caine
Wei Han
Brandon Yang
Yuning Chai
...
O. Alsharif
Patrick Nguyen
Zhehuai Chen
Jonathon Shlens
Vijay Vasudevan
3DPC
29
111
0
29 Aug 2019
Point2SpatialCapsule: Aggregating Features and Spatial Relationships of
  Local Regions on Point Clouds using Spatial-aware Capsules
Point2SpatialCapsule: Aggregating Features and Spatial Relationships of Local Regions on Point Clouds using Spatial-aware Capsules
Xin Wen
Zhizhong Han
Xinhai Liu
Yu-Shen Liu
3DPC
34
38
0
29 Aug 2019
Blended Convolution and Synthesis for Efficient Discrimination of 3D
  Shapes
Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes
Sameera Ramasinghe
Salman Khan
Nick Barnes
Stephen Gould
3DPC
25
4
0
24 Aug 2019
Linking Points With Labels in 3D: A Review of Point Cloud Semantic
  Segmentation
Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation
Yuxing Xie
Jiaojiao Tian
Xiaoxiang Zhu
3DPC
27
206
0
23 Aug 2019
PCRNet: Point Cloud Registration Network using PointNet Encoding
PCRNet: Point Cloud Registration Network using PointNet Encoding
Vinit Sarode
Xueqian Li
Hunter Goforth
Yasuhiro Aoki
Rangaprasad Arun Srivatsan
Simon Lucey
Howie Choset
3DPC
25
239
0
21 Aug 2019
Directionally Constrained Fully Convolutional Neural Network For
  Airborne Lidar Point Cloud Classification
Directionally Constrained Fully Convolutional Neural Network For Airborne Lidar Point Cloud Classification
Congcong Wen
Lina Yang
Ling Peng
Xiang Li
T. Chi
3DPC
29
99
0
19 Aug 2019
Rotation Invariant Convolutions for 3D Point Clouds Deep Learning
Rotation Invariant Convolutions for 3D Point Clouds Deep Learning
Zhiyuan Zhang
Binh-Son Hua
D. Rosen
Sai-Kit Yeung
3DPC
27
168
0
17 Aug 2019
ShellNet: Efficient Point Cloud Convolutional Neural Networks using
  Concentric Shells Statistics
ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics
Zhiyuan Zhang
Binh-Son Hua
Sai-Kit Yeung
3DPC
36
347
0
17 Aug 2019
Adversarial shape perturbations on 3D point clouds
Adversarial shape perturbations on 3D point clouds
Daniel Liu
Ronald Yu
Hao Su
3DPC
33
12
0
16 Aug 2019
Learning Two-View Correspondences and Geometry Using Order-Aware Network
Learning Two-View Correspondences and Geometry Using Order-Aware Network
Jiahui Zhang
Dawei Sun
Zixin Luo
Anbang Yao
Lei Zhou
Tianwei Shen
Yurong Chen
Long Quan
Hongen Liao
3DPC
28
308
0
14 Aug 2019
Revisiting Point Cloud Classification: A New Benchmark Dataset and
  Classification Model on Real-World Data
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data
Mikaela Angelina Uy
Quang Pham
Binh-Son Hua
D. Nguyen
Sai-Kit Yeung
3DV
3DPC
40
763
0
13 Aug 2019
Interpolated Convolutional Networks for 3D Point Cloud Understanding
Interpolated Convolutional Networks for 3D Point Cloud Understanding
Jiageng Mao
Xiaogang Wang
Hongsheng Li
3DPC
30
215
0
13 Aug 2019
Location Field Descriptors: Single Image 3D Model Retrieval in the Wild
Location Field Descriptors: Single Image 3D Model Retrieval in the Wild
Alexander Grabner
P. Roth
Vincent Lepetit
3DPC
27
36
0
07 Aug 2019
Mesh Variational Autoencoders with Edge Contraction Pooling
Mesh Variational Autoencoders with Edge Contraction Pooling
Yu-Jie Yuan
Yu-Kun Lai
J. Yang
Hongbo Fu
Lin Gao
3DPC
34
31
0
07 Aug 2019
Point Cloud Super Resolution with Adversarial Residual Graph Networks
Point Cloud Super Resolution with Adversarial Residual Graph Networks
Huikai Wu
Junge Zhang
Kaiqi Huang
3DPC
22
47
0
06 Aug 2019
L2G Auto-encoder: Understanding Point Clouds by Local-to-Global
  Reconstruction with Hierarchical Self-Attention
L2G Auto-encoder: Understanding Point Clouds by Local-to-Global Reconstruction with Hierarchical Self-Attention
Xinhai Liu
Zhizhong Han
Xin Wen
Yu-Shen Liu
Matthias Zwicker
3DPC
27
85
0
02 Aug 2019
StructureNet: Hierarchical Graph Networks for 3D Shape Generation
StructureNet: Hierarchical Graph Networks for 3D Shape Generation
Kaichun Mo
Paul Guerrero
L. Yi
Hao Su
Peter Wonka
Niloy Mitra
Leonidas J. Guibas
3DPC
33
133
0
01 Aug 2019
LassoNet: Deep Lasso-Selection of 3D Point Clouds
LassoNet: Deep Lasso-Selection of 3D Point Clouds
Zhutian Chen
Wei Zeng
Zhiguang Yang
Lingyun Yu
Chi-Wing Fu
Huamin Qu
3DPC
31
44
0
31 Jul 2019
Deformable Filter Convolution for Point Cloud Reasoning
Deformable Filter Convolution for Point Cloud Reasoning
Yuwen Xiong
Mengye Ren
Renjie Liao
K. Wong
R. Urtasun
3DPC
34
17
0
30 Jul 2019
PointHop: An Explainable Machine Learning Method for Point Cloud
  Classification
PointHop: An Explainable Machine Learning Method for Point Cloud Classification
Min Zhang
Haoxuan You
Pranav Kadam
Shan Liu
C.-C. Jay Kuo
3DPC
11
109
0
30 Jul 2019
Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point
  Clouds from Multiple Angles by Joint Self-Reconstruction and Half-to-Half
  Prediction
Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds from Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction
Zhizhong Han
Xiyang Wang
Yu-Shen Liu
Matthias Zwicker
3DPC
27
143
0
30 Jul 2019
CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud
  Stream Forecasting
CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting
Chaoyun Zhang
M. Fiore
Iain Murray
P. Patras
3DPC
AI4TS
28
32
0
29 Jul 2019
STD: Sparse-to-Dense 3D Object Detector for Point Cloud
STD: Sparse-to-Dense 3D Object Detector for Point Cloud
Zetong Yang
Yanan Sun
Shu Liu
Xiaoyong Shen
Jiaya Jia
3DPC
42
736
0
22 Jul 2019
Class-specific Anchoring Proposal for 3D Object Recognition in LIDAR and
  RGB Images
Class-specific Anchoring Proposal for 3D Object Recognition in LIDAR and RGB Images
Amir Hossein Raffiee
H. Irshad
3DPC
23
6
0
22 Jul 2019
A review on deep learning techniques for 3D sensed data classification
A review on deep learning techniques for 3D sensed data classification
David J. Griffiths
Jan Boehm
3DPC
3DV
32
165
0
09 Jul 2019
3D Multi-Object Tracking: A Baseline and New Evaluation Metrics
3D Multi-Object Tracking: A Baseline and New Evaluation Metrics
Xinshuo Weng
Jianren Wang
David Held
Kris Kitani
VOT
3DPC
26
122
0
09 Jul 2019
Point-Voxel CNN for Efficient 3D Deep Learning
Point-Voxel CNN for Efficient 3D Deep Learning
Zhijian Liu
Haotian Tang
Chengyue Wu
Song Han
3DPC
67
664
0
08 Jul 2019
From Points to Parts: 3D Object Detection from Point Cloud with
  Part-aware and Part-aggregation Network
From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network
Shaoshuai Shi
Zhe Wang
Jianping Shi
Xiaogang Wang
Hongsheng Li
3DPC
33
824
0
08 Jul 2019
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows
Guandao Yang
Xun Huang
Jinwei Gu
Ming Liu
Serge J. Belongie
Bharath Hariharan
3DPC
40
660
0
28 Jun 2019
Effective Rotation-invariant Point CNN with Spherical Harmonics kernels
Effective Rotation-invariant Point CNN with Spherical Harmonics kernels
A. Poulenard
Marie-Julie Rakotosaona
Yann Ponty
M. Ovsjanikov
3DPC
28
102
0
27 Jun 2019
A Convolutional Decoder for Point Clouds using Adaptive Instance
  Normalization
A Convolutional Decoder for Point Clouds using Adaptive Instance Normalization
I. Lim
Moritz Ibing
Leif Kobbelt
3DPC
3DV
27
15
0
27 Jun 2019
Learning Data Augmentation Strategies for Object Detection
Learning Data Augmentation Strategies for Object Detection
Barret Zoph
E. D. Cubuk
Golnaz Ghiasi
Nayeon Lee
Jonathon Shlens
Quoc V. Le
39
523
0
26 Jun 2019
End-to-End 3D-PointCloud Semantic Segmentation for Autonomous Driving
End-to-End 3D-PointCloud Semantic Segmentation for Autonomous Driving
Mohammed Abdou
Mahmoud Elkhateeb
Ibrahim Sobh
Ahmad El-Sallab
3DPC
22
5
0
26 Jun 2019
Spatial Transformer for 3D Point Clouds
Spatial Transformer for 3D Point Clouds
Jiayun Wang
Rudrasis Chakraborty
Stella X. Yu
3DPC
22
14
0
26 Jun 2019
DeepView: View Synthesis with Learned Gradient Descent
DeepView: View Synthesis with Learned Gradient Descent
John Flynn
M. Broxton
P. Debevec
Matthew DuVall
Graham Fyffe
Ryan S. Overbeck
Noah Snavely
Richard Tucker
40
446
0
18 Jun 2019
DeepTemporalSeg: Temporally Consistent Semantic Segmentation of 3D LiDAR
  Scans
DeepTemporalSeg: Temporally Consistent Semantic Segmentation of 3D LiDAR Scans
Ayush Dewan
Wolfram Burgard
3DV
3DPC
27
28
0
17 Jun 2019
HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow
  Estimation on Large-scale Point Clouds
HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-scale Point Clouds
Xiuye Gu
Yijie Wang
Chongruo Wu
Yong Jae Lee
Panqu Wang
3DPC
32
206
0
12 Jun 2019
VolMap: A Real-time Model for Semantic Segmentation of a LiDAR
  surrounding view
VolMap: A Real-time Model for Semantic Segmentation of a LiDAR surrounding view
Hager Radi
Waleed Ali
3DPC
17
14
0
12 Jun 2019
Regularizing Neural Networks via Minimizing Hyperspherical Energy
Regularizing Neural Networks via Minimizing Hyperspherical Energy
Rongmei Lin
Weiyang Liu
Zhen Liu
Chen Feng
Zhiding Yu
James M. Rehg
Li Xiong
Le Song
30
36
0
12 Jun 2019
Differentiable Surface Splatting for Point-based Geometry Processing
Differentiable Surface Splatting for Point-based Geometry Processing
Yifan Wang
Felice Serena
Shihao Wu
Cengiz Öztireli
O. Sorkine-Hornung
3DPC
42
292
0
10 Jun 2019
Learning Object Bounding Boxes for 3D Instance Segmentation on Point
  Clouds
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds
Bo Yang
Jianan Wang
R. Clark
Qingyong Hu
Sen Wang
Andrew Markham
A. Trigoni
3DPC
41
326
0
04 Jun 2019
Previous
123...3334353637
Next