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FPNN: Field Probing Neural Networks for 3D Data

FPNN: Field Probing Neural Networks for 3D Data

20 May 2016
Yangyan Li
Soren Pirk
Hao Su
C. Qi
Leonidas J. Guibas
    3DPC
ArXivPDFHTML

Papers citing "FPNN: Field Probing Neural Networks for 3D Data"

36 / 36 papers shown
Title
Multi-view Structural Convolution Network for Domain-Invariant Point Cloud Recognition of Autonomous Vehicles
Multi-view Structural Convolution Network for Domain-Invariant Point Cloud Recognition of Autonomous Vehicles
Younggun Kim
Beomsik Cho
Seonghoon Ryoo
Soomok Lee
3DPC
99
0
0
27 Jan 2025
TopoLogic: An Interpretable Pipeline for Lane Topology Reasoning on
  Driving Scenes
TopoLogic: An Interpretable Pipeline for Lane Topology Reasoning on Driving Scenes
Yanping Fu
Wenbin Liao
Xinyuan Liu
Hang Xu
Yike Ma
Feng Dai
Yucheng Zhang
LRM
48
7
0
23 May 2024
Semantic Segmentation of Urban Textured Meshes Through Point Sampling
Semantic Segmentation of Urban Textured Meshes Through Point Sampling
Grégoire Grzeczkowicz
Bruno Vallet
3DPC
15
5
0
21 Feb 2023
Laplacian2Mesh: Laplacian-Based Mesh Understanding
Laplacian2Mesh: Laplacian-Based Mesh Understanding
Qiujie Dong
Zixiong Wang
Manyi Li
Junjie Gao
Shuangmin Chen
Zhenyu Shu
Shiqing Xin
Changhe Tu
Wenping Wang
14
25
0
01 Feb 2022
SPNet: Multi-Shell Kernel Convolution for Point Cloud Semantic
  Segmentation
SPNet: Multi-Shell Kernel Convolution for Point Cloud Semantic Segmentation
Yu-yang Li
Chuanmao Fan
Xu Wang
Ye Duan
3DPC
25
4
0
23 Sep 2021
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
Tiange Xiang
Chaoyi Zhang
Yang Song
Jianhui Yu
Weidong (Tom) Cai
3DPC
140
283
0
04 May 2021
Semantics for Robotic Mapping, Perception and Interaction: A Survey
Semantics for Robotic Mapping, Perception and Interaction: A Survey
Sourav Garg
Niko Sünderhauf
Feras Dayoub
D. Morrison
Akansel Cosgun
...
Tat-Jun Chin
Ian Reid
Stephen Gould
Peter Corke
Michael Milford
22
115
0
02 Jan 2021
ODFNet: Using orientation distribution functions to characterize 3D
  point clouds
ODFNet: Using orientation distribution functions to characterize 3D point clouds
Y. Sahin
Alican Mertan
Gözde B. Ünal
3DPC
16
7
0
08 Dec 2020
Grasping Field: Learning Implicit Representations for Human Grasps
Grasping Field: Learning Implicit Representations for Human Grasps
Korrawe Karunratanakul
Jinlong Yang
Yan Zhang
Michael J. Black
Krikamol Muandet
Siyu Tang
3DH
28
207
0
10 Aug 2020
Distilling Knowledge from Graph Convolutional Networks
Distilling Knowledge from Graph Convolutional Networks
Yiding Yang
Jiayan Qiu
Mingli Song
Dacheng Tao
Xinchao Wang
157
226
0
23 Mar 2020
LRC-Net: Learning Discriminative Features on Point Clouds by Encoding
  Local Region Contexts
LRC-Net: Learning Discriminative Features on Point Clouds by Encoding Local Region Contexts
Xinhai Liu
Zhizhong Han
Fangzhou Hong
Yu-Shen Liu
Matthias Zwicker
3DPC
11
20
0
18 Mar 2020
A Survey on Deep Geometry Learning: From a Representation Perspective
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
32
100
0
19 Feb 2020
Representation Learning on Unit Ball with 3D Roto-Translational
  Equivariance
Representation Learning on Unit Ball with 3D Roto-Translational Equivariance
Sameera Ramasinghe
Salman Khan
Nick Barnes
Stephen Gould
13
8
0
30 Nov 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 Saeed Mian
3DPC
19
166
0
20 Sep 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
13
167
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
21
346
0
17 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
20
215
0
13 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
22
85
0
02 Aug 2019
Point Clouds Learning with Attention-based Graph Convolution Networks
Point Clouds Learning with Attention-based Graph Convolution Networks
Zhuyang Xie
Junzhou Chen
B. Peng
3DPC
16
53
0
31 May 2019
Interactive Open-Ended Object, Affordance and Grasp Learning for Robotic
  Manipulation
Interactive Open-Ended Object, Affordance and Grasp Learning for Robotic Manipulation
S. Kasaei
Nima Shafii
Luís Seabra Lopes
A. Tomé
11
21
0
04 Apr 2019
ConvPoint: Continuous Convolutions for Point Cloud Processing
ConvPoint: Continuous Convolutions for Point Cloud Processing
Alexandre Boulch
3DPC
16
239
0
04 Apr 2019
Octree guided CNN with Spherical Kernels for 3D Point Clouds
Octree guided CNN with Spherical Kernels for 3D Point Clouds
Huan Lei
Naveed Akhtar
Ajmal Saeed Mian
3DPC
17
141
0
28 Feb 2019
MeshNet: Mesh Neural Network for 3D Shape Representation
MeshNet: Mesh Neural Network for 3D Shape Representation
Yutong Feng
Yifan Feng
Haoxuan You
Xibin Zhao
Yue Gao
3DV
3DH
19
299
0
28 Nov 2018
Noise-resistant Deep Learning for Object Classification in 3D Point
  Clouds Using a Point Pair Descriptor
Noise-resistant Deep Learning for Object Classification in 3D Point Clouds Using a Point Pair Descriptor
D. Bobkov
Sili Chen
Ruiqing Jian
M. Z. Iqbal
Eckehard Steinbach
3DPC
14
20
0
05 Apr 2018
H-CNN: Spatial Hashing Based CNN for 3D Shape Analysis
H-CNN: Spatial Hashing Based CNN for 3D Shape Analysis
Tianjia Shao
Y. Yang
Y. Weng
Qiming Hou
Kun Zhou
3DV
25
29
0
30 Mar 2018
Triplet-Center Loss for Multi-View 3D Object Retrieval
Triplet-Center Loss for Multi-View 3D Object Retrieval
Xinwei He
Yang Zhou
Zhichao Zhou
S. Bai
X. Bai
3DPC
19
329
0
16 Mar 2018
SO-Net: Self-Organizing Network for Point Cloud Analysis
SO-Net: Self-Organizing Network for Point Cloud Analysis
Jiaxin Li
Ben M. Chen
Gim Hee Lee
3DPC
22
934
0
12 Mar 2018
Indoor Scene Understanding in 2.5/3D for Autonomous Agents: A Survey
Indoor Scene Understanding in 2.5/3D for Autonomous Agents: A Survey
Muzammal Naseer
Salman H Khan
Fatih Porikli
3DPC
3DV
13
100
0
09 Mar 2018
Recurrent Slice Networks for 3D Segmentation of Point Clouds
Recurrent Slice Networks for 3D Segmentation of Point Clouds
Qiangui Huang
Weiyue Wang
Ulrich Neumann
3DPC
30
452
0
13 Feb 2018
A Spatial Mapping Algorithm with Applications in Deep Learning-Based
  Structure Classification
A Spatial Mapping Algorithm with Applications in Deep Learning-Based Structure Classification
T. Corcoran
R. Zamora-Resendiz
Xinlian Liu
S. Crivelli
3DPC
3DV
13
16
0
07 Feb 2018
PointCNN: Convolution On $\mathcal{X}$-Transformed Points
PointCNN: Convolution On X\mathcal{X}X-Transformed Points
Yangyan Li
Rui Bu
Mingchao Sun
Wei Yu Wu
Xinhan Di
Baoquan Chen
3DPC
38
2,419
0
23 Jan 2018
FoldingNet: Point Cloud Auto-encoder via Deep Grid Deformation
FoldingNet: Point Cloud Auto-encoder via Deep Grid Deformation
Yaoqing Yang
Chen Feng
Yiru Shen
Dong Tian
3DPC
35
75
0
19 Dec 2017
O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis
O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis
Peng-Shuai Wang
Yang Liu
Yu-Xiao Guo
Chun-Yu Sun
Xin Tong
3DV
23
206
0
05 Dec 2017
SurfNet: Generating 3D shape surfaces using deep residual networks
SurfNet: Generating 3D shape surfaces using deep residual networks
Ayan Sinha
Asim Unmesh
Qi-Xing Huang
K. Ramani
19
179
0
12 Mar 2017
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 J. Guibas
3DH
3DPC
3DV
PINN
222
14,099
0
02 Dec 2016
Learning a Predictable and Generative Vector Representation for Objects
Learning a Predictable and Generative Vector Representation for Objects
Rohit Girdhar
David Fouhey
Mikel D. Rodriguez
Abhinav Gupta
3DV
31
708
0
29 Mar 2016
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