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Volumetric and Multi-View CNNs for Object Classification on 3D Data

Volumetric and Multi-View CNNs for Object Classification on 3D Data

12 April 2016
C. Qi
Hao Su
Matthias Niessner
Angela Dai
Mengyuan Yan
Leonidas J. Guibas
    3DPC
    3DV
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Papers citing "Volumetric and Multi-View CNNs for Object Classification on 3D Data"

50 / 580 papers shown
Title
Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A
  Review
Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review
Yaodong Cui
Ren‐Hao Chen
Wenbo Chu
Long Chen
Daxin Tian
Ying Li
Dongpu Cao
3DPC
37
386
0
10 Apr 2020
FKAConv: Feature-Kernel Alignment for Point Cloud Convolution
FKAConv: Feature-Kernel Alignment for Point Cloud Convolution
Alexandre Boulch
Gilles Puy
Renaud Marlet
3DPC
22
2
0
09 Apr 2020
Learning 3D Semantic Scene Graphs from 3D Indoor Reconstructions
Learning 3D Semantic Scene Graphs from 3D Indoor Reconstructions
Johanna Wald
Helisa Dhamo
Nassir Navab
Federico Tombari
3DV
3DPC
27
214
0
08 Apr 2020
MNEW: Multi-domain Neighborhood Embedding and Weighting for Sparse Point
  Clouds Segmentation
MNEW: Multi-domain Neighborhood Embedding and Weighting for Sparse Point Clouds Segmentation
Yang Zheng
I. Izzat
S. Song
3DPC
30
0
0
05 Apr 2020
PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation
PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation
Li Jiang
Hengshuang Zhao
Shaoshuai Shi
Shu Liu
Chi-Wing Fu
Jiaya Jia
3DPC
40
429
0
03 Apr 2020
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation
Francis Engelmann
M. Bokeloh
Alireza Fathi
Bastian Leibe
Matthias Nießner
3DPC
27
213
0
30 Mar 2020
Self-Supervised Learning for Domain Adaptation on Point-Clouds
Self-Supervised Learning for Domain Adaptation on Point-Clouds
Idan Achituve
Haggai Maron
Gal Chechik
3DPC
43
160
0
29 Mar 2020
Exploit Clues from Views: Self-Supervised and Regularized Learning for
  Multiview Object Recognition
Exploit Clues from Views: Self-Supervised and Regularized Learning for Multiview Object Recognition
Chih-Hui Ho
Bo Liu
Tz-Ying Wu
Nuno Vasconcelos
28
8
0
28 Mar 2020
Semantic Implicit Neural Scene Representations With Semi-Supervised
  Training
Semantic Implicit Neural Scene Representations With Semi-Supervised Training
Amit Kohli
Vincent Sitzmann
Gordon Wetzstein
3DPC
25
14
0
28 Mar 2020
On the Evaluation of Prohibited Item Classification and Detection in
  Volumetric 3D Computed Tomography Baggage Security Screening Imagery
On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery
Qian Wang
Neelanjan Bhowmik
T. Breckon
29
10
0
27 Mar 2020
PointNetKL: Deep Inference for GICP Covariance Estimation in Bathymetric
  SLAM
PointNetKL: Deep Inference for GICP Covariance Estimation in Bathymetric SLAM
Ignacio Torroba
Christopher Iliffe Sprague
Nils Bore
John Folkesson
3DPC
30
16
0
24 Mar 2020
Distilling Knowledge from Graph Convolutional Networks
Distilling Knowledge from Graph Convolutional Networks
Yiding Yang
Jiayan Qiu
Xiuming Zhang
Dacheng Tao
Xinchao Wang
166
226
0
23 Mar 2020
Cross-Shape Attention for Part Segmentation of 3D Point Clouds
Cross-Shape Attention for Part Segmentation of 3D Point Clouds
Marios Loizou
Siddhant Garg
Dmitry Petrov
Melinos Averkiou
E. Kalogerakis
3DPC
32
2
0
20 Mar 2020
Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation
  of Urban Roadways
Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways
W. Tan
Nannan Qin
Lingfei Ma
Ying Li
Jing Du
Guorong Cai
Ke Yang
Jonathan Li
3DPC
17
196
0
18 Mar 2020
A Rotation-Invariant Framework for Deep Point Cloud Analysis
A Rotation-Invariant Framework for Deep Point Cloud Analysis
Xianzhi Li
Ruihui Li
Guangyong Chen
Chi-Wing Fu
Daniel Cohen-Or
Pheng-Ann Heng
3DPC
123
109
0
16 Mar 2020
Fusion-Aware Point Convolution for Online Semantic 3D Scene Segmentation
Fusion-Aware Point Convolution for Online Semantic 3D Scene Segmentation
JIazhao Zhang
Chenyang Zhu
Lintao Zheng
Kai Xu
3DPC
40
61
0
13 Mar 2020
End-to-End Learning Local Multi-view Descriptors for 3D Point Clouds
End-to-End Learning Local Multi-view Descriptors for 3D Point Clouds
Lei Li
Siyu Zhu
Hongbo Fu
P. Tan
Chiew-Lan Tai
3DPC
44
105
0
12 Mar 2020
Bi-Directional Attention for Joint Instance and Semantic Segmentation in
  Point Clouds
Bi-Directional Attention for Joint Instance and Semantic Segmentation in Point Clouds
G. Wu
Zhiyi Pan
Peng-Tao Jiang
Changhe Tu
3DPC
25
6
0
11 Mar 2020
LiDARNet: A Boundary-Aware Domain Adaptation Model for Point Cloud
  Semantic Segmentation
LiDARNet: A Boundary-Aware Domain Adaptation Model for Point Cloud Semantic Segmentation
Peng-Tao Jiang
Srikanth Saripalli
3DPC
50
15
0
02 Mar 2020
3DCFS: Fast and Robust Joint 3D Semantic-Instance Segmentation via
  Coupled Feature Selection
3DCFS: Fast and Robust Joint 3D Semantic-Instance Segmentation via Coupled Feature Selection
Liang Du
Jingang Tan
Xiangyang Xue
Lili Chen
Hongkai Wen
Jianfeng Feng
Jiamao Li
Xiaolin Zhang
3DPC
3DV
25
12
0
01 Mar 2020
Indoor Scene Recognition in 3D
Indoor Scene Recognition in 3D
Shengyu Huang
Mikhail (Misha) Usvyatsov
Konrad Schindler
3DV
3DPC
28
19
0
28 Feb 2020
MANet: Multimodal Attention Network based Point- View fusion for 3D
  Shape Recognition
MANet: Multimodal Attention Network based Point- View fusion for 3D Shape Recognition
Yaxin Zhao
Jichao Jiao
Tangkun Zhang
3DPC
25
6
0
28 Feb 2020
On Isometry Robustness of Deep 3D Point Cloud Models under Adversarial
  Attacks
On Isometry Robustness of Deep 3D Point Cloud Models under Adversarial Attacks
Yue Zhao
Yuwei Wu
Caihua Chen
A. Lim
3DPC
16
70
0
27 Feb 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
40
100
0
19 Feb 2020
Variable-Viewpoint Representations for 3D Object Recognition
Variable-Viewpoint Representations for 3D Object Recognition
Tengyu Ma
Joel Michelson
James Ainooson
Deepayan Sanyal
Xiaohan Wang
M. Kunda
19
0
0
08 Feb 2020
AdvectiveNet: An Eulerian-Lagrangian Fluidic reservoir for Point Cloud
  Processing
AdvectiveNet: An Eulerian-Lagrangian Fluidic reservoir for Point Cloud Processing
Xingzhe He
Helen Lu Cao
Bo Zhu
3DPC
24
9
0
01 Feb 2020
Review: deep learning on 3D point clouds
Review: deep learning on 3D point clouds
Saifullahi Aminu Bello
Shangshu Yu
Cheng-Yu Wang
3DPC
31
232
0
17 Jan 2020
Learning and Memorizing Representative Prototypes for 3D Point Cloud
  Semantic and Instance Segmentation
Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation
Tong He
Dong Gong
Zhi Tian
Chunhua Shen
3DV
43
39
0
06 Jan 2020
Quaternion Equivariant Capsule Networks for 3D Point Clouds
Quaternion Equivariant Capsule Networks for 3D Point Clouds
Yongheng Zhao
Tolga Birdal
J. E. Lenssen
Emanuele Menegatti
Leonidas J. Guibas
Federico Tombari
3DPC
28
88
0
27 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
32
1,645
0
27 Dec 2019
InSphereNet: a Concise Representation and Classification Method for 3D
  Object
InSphereNet: a Concise Representation and Classification Method for 3D Object
H. Cao
Haikuan Du
Siyu Zhang
Shen Cai
3DPC
18
8
0
25 Dec 2019
Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature
  Modeling
Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling
Wenkai Han
Chenglu Wen
Cheng-Yu Wang
Xin Li
Qing Li
3DPC
16
93
0
23 Dec 2019
SampleNet: Differentiable Point Cloud Sampling
SampleNet: Differentiable Point Cloud Sampling
Itai Lang
Asaf Manor
S. Avidan
3DPC
16
163
0
08 Dec 2019
Spectral-GANs for High-Resolution 3D Point-cloud Generation
Spectral-GANs for High-Resolution 3D Point-cloud Generation
Sameera Ramasinghe
Salman Khan
Nick Barnes
Stephen Gould
3DPC
19
36
0
04 Dec 2019
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
16
8
0
30 Nov 2019
PointRGCN: Graph Convolution Networks for 3D Vehicles Detection
  Refinement
PointRGCN: Graph Convolution Networks for 3D Vehicles Detection Refinement
Jesus Zarzar
Silvio Giancola
Guohao Li
3DPC
32
62
0
27 Nov 2019
Point Cloud Processing via Recurrent Set Encoding
Point Cloud Processing via Recurrent Set Encoding
Pengxiang Wu
Chao Chen
Jingru Yi
Dimitris N. Metaxas
3DPC
25
11
0
25 Nov 2019
Correlative Channel-Aware Fusion for Multi-View Time Series
  Classification
Correlative Channel-Aware Fusion for Multi-View Time Series Classification
Yue Bai
Lichen Wang
Zhiqiang Tao
Sheng Li
Y. Fu
AI4TS
24
2
0
24 Nov 2019
Data-Free Point Cloud Network for 3D Face Recognition
Data-Free Point Cloud Network for 3D Face Recognition
Ziyu Zhang
F. Da
Yi Yu
CVBM
3DH
3DPC
36
12
0
12 Nov 2019
SRINet: Learning Strictly Rotation-Invariant Representations for Point
  Cloud Classification and Segmentation
SRINet: Learning Strictly Rotation-Invariant Representations for Point Cloud Classification and Segmentation
Xiao Sun
Zheng Lian
Jianguo Xiao
3DPC
29
97
0
06 Nov 2019
Rotation Invariant Point Cloud Classification: Where Local Geometry
  Meets Global Topology
Rotation Invariant Point Cloud Classification: Where Local Geometry Meets Global Topology
Chenchen Zhao
Jiaqi Yang
Xin Xiong
Angfan Zhu
Zhiguo Cao
Xin Li
3DPC
25
30
0
01 Nov 2019
S4G: Amodal Single-view Single-Shot SE(3) Grasp Detection in Cluttered
  Scenes
S4G: Amodal Single-view Single-Shot SE(3) Grasp Detection in Cluttered Scenes
Yuzhe Qin
Rui Chen
Hao Zhu
Meng Song
Jing Xu
Hao Su
26
156
0
31 Oct 2019
LaplacianNet: Learning on 3D Meshes with Laplacian Encoding and Pooling
LaplacianNet: Learning on 3D Meshes with Laplacian Encoding and Pooling
Yi-Ling Qiao
Lin Gao
Jie Yang
Paul L. Rosin
Yu-Kun Lai
Xilin Chen
3DV
3DPC
35
12
0
30 Oct 2019
POIRot: A rotation invariant omni-directional pointnet
POIRot: A rotation invariant omni-directional pointnet
Liu Yang
Rudrasis Chakraborty
Stella X. Yu
3DPC
16
0
0
29 Oct 2019
PRNet: Self-Supervised Learning for Partial-to-Partial Registration
PRNet: Self-Supervised Learning for Partial-to-Partial Registration
Yue Wang
Justin Solomon
SSL
3DPC
28
379
0
27 Oct 2019
Endowing Deep 3D Models with Rotation Invariance Based on Principal
  Component Analysis
Endowing Deep 3D Models with Rotation Invariance Based on Principal Component Analysis
Zelin Xiao
Hongxin Lin
Renjie Li
Hongyang Chao
Shengyong Ding
23
31
0
20 Oct 2019
Unsupervised Multi-Task Feature Learning on Point Clouds
Unsupervised Multi-Task Feature Learning on Point Clouds
Kaveh Hassani
Mike Haley
SSL
3DPC
117
194
0
18 Oct 2019
Normal Estimation for 3D Point Clouds via Local Plane Constraint and
  Multi-scale Selection
Normal Estimation for 3D Point Clouds via Local Plane Constraint and Multi-scale Selection
Jun Zhou
Hua Huang
Bin Liu
Xiuping Liu
3DPC
3DV
39
51
0
18 Oct 2019
DeepGCNs: Making GCNs Go as Deep as CNNs
DeepGCNs: Making GCNs Go as Deep as CNNs
Ge Li
Matthias Muller
Guocheng Qian
Itzel C. Delgadillo
Abdulellah Abualshour
Ali K. Thabet
Guohao Li
3DPC
GNN
37
169
0
15 Oct 2019
PRS-Net: Planar Reflective Symmetry Detection Net for 3D Models
PRS-Net: Planar Reflective Symmetry Detection Net for 3D Models
Lin Gao
Ling-Xiao Zhang
Hsien-Yu Meng
Yi Ren
Yu-Kun Lai
Leif Kobbelt
3DV
29
45
0
15 Oct 2019
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