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Deep Learning for 3D Point Clouds: A Survey
27 December 2019
Yulan Guo
Hanyun Wang
Qingyong Hu
Hao Liu
Li Liu
Bennamoun
3DPC
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Papers citing
"Deep Learning for 3D Point Clouds: A Survey"
35 / 485 papers shown
Title
RELLIS-3D Dataset: Data, Benchmarks and Analysis
Peng-Tao Jiang
Philip R. Osteen
Maggie B. Wigness
Srikanth Saripalli
3DV
93
221
0
17 Nov 2020
Uncertainty-Aware Vehicle Orientation Estimation for Joint Detection-Prediction Models
Henggang Cui
Fang-Chieh Chou
Jake Charland
Carlos Vallespi-Gonzalez
Nemanja Djuric
42
1
0
05 Nov 2020
DUDE: Deep Unsigned Distance Embeddings for Hi-Fidelity Representation of Complex 3D Surfaces
R. Venkatesh
Sarthak Sharma
Aurobrata Ghosh
László A. Jeni
M. Singh
58
24
0
04 Nov 2020
Point Transformer
Nico Engel
Vasileios Belagiannis
Klaus C. J. Dietmayer
3DPC
188
2,021
0
02 Nov 2020
UAV LiDAR Point Cloud Segmentation of A Stack Interchange with Deep Neural Networks
W. Tan
Dedong Zhang
Lingfei Ma
Ying Li
Lanying Wang
Jonathan Li
3DPC
78
4
0
21 Oct 2020
Cascaded Refinement Network for Point Cloud Completion with Self-supervision
Xiaogang Wang
M. Ang
G. Lee
3DPC
108
33
0
17 Oct 2020
Human Segmentation with Dynamic LiDAR Data
Tao Zhong
Wonjik Kim
Masayuki Tanaka
Masatoshi Okutomi
3DPC
16
1
0
16 Oct 2020
BiPointNet: Binary Neural Network for Point Clouds
Haotong Qin
Zhongang Cai
Mingyuan Zhang
Yifu Ding
Haiyu Zhao
Shuai Yi
Xianglong Liu
Hao Su
3DPC
96
49
0
12 Oct 2020
Torch-Points3D: A Modular Multi-Task Frameworkfor Reproducible Deep Learning on 3D Point Clouds
Thomas Chaton
N. Chaulet
Sofiane Horache
Loic Landrieu
3DPC
49
42
0
09 Oct 2020
On the Universality of Rotation Equivariant Point Cloud Networks
Nadav Dym
Haggai Maron
3DPC
118
84
0
06 Oct 2020
Graph-based methods for analyzing orchard tree structure using noisy point cloud data
F. Westling
J. Underwood
M. Bryson
3DPC
41
23
0
29 Sep 2020
Parallax Attention for Unsupervised Stereo Correspondence Learning
Longguang Wang
Yulan Guo
Yingqian Wang
Zhengfa Liang
Zaiping Lin
Jungang Yang
W. An
3DPC
113
114
0
16 Sep 2020
Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges
Qingyong Hu
Bo Yang
Sheikh Khalid
W. Xiao
A. Trigoni
Andrew Markham
3DPC
72
165
0
07 Sep 2020
DV-ConvNet: Fully Convolutional Deep Learning on Point Clouds with Dynamic Voxelization and 3D Group Convolution
Zhaoyu Su
P. S. Tan
J. Chow
Jimmy Wu
Yehur Cheong
Yu-Hsing Wang
3DPC
38
2
0
07 Sep 2020
Multi-View Fusion of Sensor Data for Improved Perception and Prediction in Autonomous Driving
Sudeep Fadadu
Shreyash Pandey
Darshan Hegde
Yi Shi
Fang-Chieh Chou
Nemanja Djuric
Carlos Vallespi-Gonzalez
3DPC
59
74
0
27 Aug 2020
Global Context Aware Convolutions for 3D Point Cloud Understanding
Zhiyuan Zhang
Binh-Son Hua
Wei Chen
Yibin Tian
Sai-Kit Yeung
3DPC
140
41
0
07 Aug 2020
CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations
Davis Rempe
Tolga Birdal
Yongheng Zhao
Zan Gojcic
Srinath Sridhar
Leonidas Guibas
3DPC
128
72
0
06 Aug 2020
Graph Signal Processing for Geometric Data and Beyond: Theory and Applications
Wei Hu
Jiahao Pang
Xianming Liu
Dong Tian
Chia-Wen Lin
A. Vetro
94
63
0
05 Aug 2020
KAPLAN: A 3D Point Descriptor for Shape Completion
Audrey Richard
Ian Cherabier
Martin R. Oswald
Marc Pollefeys
Konrad Schindler
3DPC
73
9
0
31 Jul 2020
PIE-NET: Parametric Inference of Point Cloud Edges
Xiaogang Wang
Yuelang Xu
Kai Xu
Andrea Tagliasacchi
Bin Zhou
Ali Mahdavi-Amiri
Hao Zhang
3DPC
79
99
0
09 Jul 2020
A Quick Review on Recent Trends in 3D Point Cloud Data Compression Techniques and the Challenges of Direct Processing in 3D Compressed Domain
M. Javed
M. Meraz
P. Chakraborty
3DPC
14
3
0
08 Jul 2020
Geometric Attention for Prediction of Differential Properties in 3D Point Clouds
Albert Matveev
Alexey Artemov
Denis Zorin
Evgeny Burnaev
3DPC
43
5
0
06 Jul 2020
TearingNet: Point Cloud Autoencoder to Learn Topology-Friendly Representations
Jiahao Pang
Duanshun Li
Dong Tian
3DPC
105
40
0
17 Jun 2020
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies
Yu Huang
Yue Chen
3DPC
166
85
0
10 Jun 2020
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and Experimental Study
Biao Gao
Yancheng Pan
Chengkun Li
Sibo Geng
Huijing Zhao
3DPC
130
25
0
08 Jun 2020
Equivariant Maps for Hierarchical Structures
Renhao Wang
Marjan Albooyeh
Siamak Ravanbakhsh
3DPC
68
14
0
05 Jun 2020
METASET: Exploring Shape and Property Spaces for Data-Driven Metamaterials Design
Yu-Chin Chan
Faez Ahmed
Liwei Wang
Wei Chen
61
37
0
01 Jun 2020
Dense-Resolution Network for Point Cloud Classification and Segmentation
Shi Qiu
Saeed Anwar
Nick Barnes
3DPC
64
94
0
14 May 2020
Scan-based Semantic Segmentation of LiDAR Point Clouds: An Experimental Study
Larissa T. Triess
David Peter
Christoph B. Rist
Johann Marius Zöllner
3DPC
60
38
0
06 Apr 2020
OccuSeg: Occupancy-aware 3D Instance Segmentation
Lei Han
Tian Zheng
Lan Xu
Lu Fang
3DPC
257
261
0
14 Mar 2020
SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving
Tiago Cortinhal
G. Tzelepis
E. Aksoy
3DPC
87
56
0
07 Mar 2020
LiDARNet: A Boundary-Aware Domain Adaptation Model for Point Cloud Semantic Segmentation
Peng-Tao Jiang
Srikanth Saripalli
3DPC
162
16
0
02 Mar 2020
A Survey on Deep Geometry Learning: From a Representation Perspective
Yun-Peng Xiao
Yu-Kun Lai
Fang-Lue Zhang
Chunpeng Li
Lin Gao
3DH
AI4TS
96
101
0
19 Feb 2020
Review: deep learning on 3D point clouds
Saifullahi Aminu Bello
Shangshu Yu
Cheng-Yu Wang
3DPC
62
239
0
17 Jan 2020
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
110
1,517
0
25 Nov 2019
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