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  4. Cited By
Deep Closest Point: Learning Representations for Point Cloud
  Registration

Deep Closest Point: Learning Representations for Point Cloud Registration

IEEE International Conference on Computer Vision (ICCV), 2019
8 May 2019
Yue Wang
Justin Solomon
    3DPC
ArXiv (abs)PDFHTML

Papers citing "Deep Closest Point: Learning Representations for Point Cloud Registration"

50 / 371 papers shown
Deep Hough Voting for Robust Global Registration
Deep Hough Voting for Robust Global RegistrationIEEE International Conference on Computer Vision (ICCV), 2021
Junha Lee
Seungwook Kim
Minsu Cho
Jaesik Park
3DPC
151
126
0
09 Sep 2021
You Only Hypothesize Once: Point Cloud Registration with
  Rotation-equivariant Descriptors
You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant DescriptorsACM Multimedia (ACM MM), 2021
Haiping Wang
Yuan Liu
Zhen Dong
Wenping Wang
3DPC
251
165
0
01 Sep 2021
A Robust Loss for Point Cloud Registration
A Robust Loss for Point Cloud RegistrationIEEE International Conference on Computer Vision (ICCV), 2021
Z. Deng
Yuxin Yao
Bailin Deng
Juyong Zhang
3DPC
156
23
0
26 Aug 2021
(Just) A Spoonful of Refinements Helps the Registration Error Go Down
(Just) A Spoonful of Refinements Helps the Registration Error Go DownIEEE International Conference on Computer Vision (ICCV), 2021
Sérgio Agostinho
Aljosa Osep
Alessio Del Bue
Laura Leal-Taixé
3DPC
161
4
0
06 Aug 2021
WSDesc: Weakly Supervised 3D Local Descriptor Learning for Point Cloud
  Registration
WSDesc: Weakly Supervised 3D Local Descriptor Learning for Point Cloud RegistrationIEEE Transactions on Visualization and Computer Graphics (TVCG), 2021
Lei Li
Hongbo Fu
M. Ovsjanikov
3DPC
246
29
0
05 Aug 2021
Planning with Learned Dynamic Model for Unsupervised Point Cloud
  Registration
Planning with Learned Dynamic Model for Unsupervised Point Cloud RegistrationInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Qianliang Wu
Jin Xie
J. Qian
Zhiqiang Wang
3DPC
275
11
0
05 Aug 2021
A Multi-Hypothesis Approach to Pose Ambiguity in Object-Based SLAM
A Multi-Hypothesis Approach to Pose Ambiguity in Object-Based SLAM
Jiahui Fu
Qiangqiang Huang
Kevin Doherty
Yue Wang
J. Leonard
136
22
0
03 Aug 2021
HRegNet: A Hierarchical Network for Large-scale Outdoor LiDAR Point
  Cloud Registration
HRegNet: A Hierarchical Network for Large-scale Outdoor LiDAR Point Cloud RegistrationIEEE International Conference on Computer Vision (ICCV), 2021
Fan Lu
Guang Chen
Yinlong Liu
Lijun Zhang
Sanqing Qu
Shu Liu
Rongqi Gu
3DPC
122
125
0
26 Jul 2021
Correspondence-Free Point Cloud Registration with SO(3)-Equivariant
  Implicit Shape Representations
Correspondence-Free Point Cloud Registration with SO(3)-Equivariant Implicit Shape RepresentationsConference on Robot Learning (CoRL), 2021
Minghan Zhu
Maani Ghaffari
H. Peng
3DPC
327
39
0
21 Jul 2021
USCO-Solver: Solving Undetermined Stochastic Combinatorial Optimization
  Problems
USCO-Solver: Solving Undetermined Stochastic Combinatorial Optimization ProblemsNeural Information Processing Systems (NeurIPS), 2021
G. Tong
277
6
0
15 Jul 2021
Learn to Learn Metric Space for Few-Shot Segmentation of 3D Shapes
Learn to Learn Metric Space for Few-Shot Segmentation of 3D Shapes
Xiang Li
Lingjing Wang
Yi Fang
3DPC
103
0
0
07 Jul 2021
Point Cloud Registration using Representative Overlapping Points
Point Cloud Registration using Representative Overlapping Points
Lifa Zhu
Dongrui Liu
Changwei Lin
Rui Yan
Francisco Gómez Fernández
Ninghua Yang
Ziyong Feng
3DPC
130
29
0
06 Jul 2021
Shape registration in the time of transformers
Shape registration in the time of transformersNeural Information Processing Systems (NeurIPS), 2021
Giovanni Trappolini
Luca Cosmo
Luca Moschella
R. Marin
Simone Melzi
Emanuele Rodolà
ViT3DPCMedIm
211
64
0
25 Jun 2021
Fast Simultaneous Gravitational Alignment of Multiple Point Sets
Fast Simultaneous Gravitational Alignment of Multiple Point SetsInternational Conference on 3D Vision (3DV), 2020
Vladislav Golyanik
Soshi Shimada
Christian Theobalt
140
1
0
21 Jun 2021
Point Cloud Upsampling via Disentangled Refinement
Point Cloud Upsampling via Disentangled RefinementComputer Vision and Pattern Recognition (CVPR), 2021
Ruihui Li
Xianzhi Li
Pheng-Ann Heng
Chi-Wing Fu
3DPC
215
163
0
09 Jun 2021
FINet: Dual Branches Feature Interaction for Partial-to-Partial Point
  Cloud Registration
FINet: Dual Branches Feature Interaction for Partial-to-Partial Point Cloud RegistrationAAAI Conference on Artificial Intelligence (AAAI), 2021
Hao Xu
Nianjin Ye
Guanghui Liu
B. Zeng
Shuaicheng Liu
3DPC
210
70
0
07 Jun 2021
Stein ICP for Uncertainty Estimation in Point Cloud Matching
Stein ICP for Uncertainty Estimation in Point Cloud MatchingIEEE Robotics and Automation Letters (RA-L), 2021
F. A. Maken
Fabio Ramos
Lionel Ott
3DV3DPC
218
33
0
07 Jun 2021
Bootstrap Your Own Correspondences
Bootstrap Your Own CorrespondencesIEEE International Conference on Computer Vision (ICCV), 2021
Mohamed El Banani
Justin Johnson
3DPCSSL
168
43
0
01 Jun 2021
Consistent Two-Flow Network for Tele-Registration of Point Clouds
Consistent Two-Flow Network for Tele-Registration of Point CloudsIEEE Transactions on Visualization and Computer Graphics (TVCG), 2021
Zihao Yan
Zimu Yi
Ruizhen Hu
Niloy J. Mitra
Daniel Cohen-Or
Hui Huang
3DPC
239
24
0
01 Jun 2021
HCRF-Flow: Scene Flow from Point Clouds with Continuous High-order CRFs
  and Position-aware Flow Embedding
HCRF-Flow: Scene Flow from Point Clouds with Continuous High-order CRFs and Position-aware Flow EmbeddingComputer Vision and Pattern Recognition (CVPR), 2021
Ruibo Li
Guosheng Lin
Tong He
Fayao Liu
Chunhua Shen
3DPC
179
61
0
17 May 2021
Deep Weighted Consensus: Dense correspondence confidence maps for 3D
  shape registration
Deep Weighted Consensus: Dense correspondence confidence maps for 3D shape registration
Dvir Ginzburg
D. Raviv
3DPC
92
8
0
06 May 2021
Point Cloud Learning with Transformer
Point Cloud Learning with Transformer
Xian-Feng Han
Yuming Kuang
ViT
246
39
0
28 Apr 2021
Dual Transformer for Point Cloud Analysis
Dual Transformer for Point Cloud AnalysisIEEE transactions on multimedia (IEEE Trans. Multimedia), 2021
Xian-Feng Han
Yi-Fei Jin
Hui Cheng
Guoqiang Xiao
ViT
181
93
0
27 Apr 2021
RPSRNet: End-to-End Trainable Rigid Point Set Registration Network using
  Barnes-Hut $2^D$-Tree Representation
RPSRNet: End-to-End Trainable Rigid Point Set Registration Network using Barnes-Hut 2D2^D2D-Tree RepresentationComputer Vision and Pattern Recognition (CVPR), 2021
Sk Aziz Ali
Kerem Kahraman
Gerd Reis
D. Stricker
3DPC
138
14
0
12 Apr 2021
A Learnable Self-supervised Task for Unsupervised Domain Adaptation on
  Point Clouds
A Learnable Self-supervised Task for Unsupervised Domain Adaptation on Point Clouds
Xiaoyuan Luo
Shaolei Liu
Kexue Fu
Manning Wang
Zhijian Song
OOD3DPC
124
11
0
12 Apr 2021
DeepI2P: Image-to-Point Cloud Registration via Deep Classification
DeepI2P: Image-to-Point Cloud Registration via Deep ClassificationComputer Vision and Pattern Recognition (CVPR), 2021
Jiaxin Li
G. Lee
3DPC
153
109
0
08 Apr 2021
Single Source One Shot Reenactment using Weighted motion From Paired
  Feature Points
Single Source One Shot Reenactment using Weighted motion From Paired Feature PointsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
S. Tripathy
Arno Solin
Esa Rahtu
3DHDiffM
103
10
0
07 Apr 2021
Variational models for signal processing with Graph Neural Networks
Variational models for signal processing with Graph Neural NetworksScale Space and Variational Methods in Computer Vision (SSVM), 2021
A. Azad
Julien Rabin
A. Elmoataz
3DPCGNN
111
0
0
30 Mar 2021
ReAgent: Point Cloud Registration using Imitation and Reinforcement
  Learning
ReAgent: Point Cloud Registration using Imitation and Reinforcement LearningComputer Vision and Pattern Recognition (CVPR), 2021
Dominik Bauer
T. Patten
Markus Vincze
3DPC
156
45
0
28 Mar 2021
3D Point Cloud Registration with Multi-Scale Architecture and
  Unsupervised Transfer Learning
3D Point Cloud Registration with Multi-Scale Architecture and Unsupervised Transfer LearningInternational Conference on 3D Vision (3DV), 2021
Sofiane Horache
Jean-Emmanuel Deschaud
Franccois Goulette
3DPC
146
33
0
26 Mar 2021
City-scale Scene Change Detection using Point Clouds
City-scale Scene Change Detection using Point CloudsIEEE International Conference on Robotics and Automation (ICRA), 2021
Zi Jian Yew
G. Lee
3DPC
101
20
0
26 Mar 2021
3DMNDT:3D multi-view registration method based on the normal
  distributions transform
3DMNDT:3D multi-view registration method based on the normal distributions transformIEEE Transactions on Automation Science and Engineering (T-ASE), 2021
Jihua Zhu
Di Wang
Jiaxi Mu
Huimin Lu
Zhiqiang Tian
Zhongyu Li
138
5
0
20 Mar 2021
Trans-SVNet: Accurate Phase Recognition from Surgical Videos via Hybrid
  Embedding Aggregation Transformer
Trans-SVNet: Accurate Phase Recognition from Surgical Videos via Hybrid Embedding Aggregation TransformerInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
Xiaojie Gao
Yueming Jin
Yonghao Long
Qi Dou
Pheng-Ann Heng
MedIm
309
139
0
17 Mar 2021
A Universal LiDAR SLAM Accelerator System on Low-cost FPGA
A Universal LiDAR SLAM Accelerator System on Low-cost FPGAIEEE Access (IEEE Access), 2021
Keisuke Sugiura
Hiroki Matsutani
161
23
0
17 Mar 2021
R-PointHop: A Green, Accurate, and Unsupervised Point Cloud Registration
  Method
R-PointHop: A Green, Accurate, and Unsupervised Point Cloud Registration MethodIEEE Transactions on Image Processing (TIP), 2021
Pranav Kadam
Min Zhang
Shan Liu
C.-C. Jay Kuo
3DPC
127
69
0
15 Mar 2021
PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency
PointDSC: Robust Point Cloud Registration using Deep Spatial ConsistencyComputer Vision and Pattern Recognition (CVPR), 2021
Xuyang Bai
Zixin Luo
Lei Zhou
Hongkai Chen
Lei Li
Zeyu Hu
Hongbo Fu
Chiew-Lan Tai
3DPC
216
328
0
09 Mar 2021
LCDNet: Deep Loop Closure Detection and Point Cloud Registration for
  LiDAR SLAM
LCDNet: Deep Loop Closure Detection and Point Cloud Registration for LiDAR SLAMIEEE Transactions on robotics (TRO), 2021
Daniele Cattaneo
Matteo Vaghi
Abhinav Valada
3DPC
305
217
0
08 Mar 2021
Robust Point Cloud Registration Framework Based on Deep Graph Matching
Robust Point Cloud Registration Framework Based on Deep Graph MatchingComputer Vision and Pattern Recognition (CVPR), 2021
Kexue Fu
Shaolei Liu
Xiaoyuan Luo
Manning Wang
3DPC
187
262
0
07 Mar 2021
Self-supervised Geometric Perception
Self-supervised Geometric PerceptionComputer Vision and Pattern Recognition (CVPR), 2021
Heng Yang
W. Dong
Luca Carlone
V. Koltun
205
41
0
04 Mar 2021
A comprehensive survey on point cloud registration
A comprehensive survey on point cloud registration
Xiaoshui Huang
Guofeng Mei
Jian Zhang
R. Abbas
3DPC
152
316
0
03 Mar 2021
OMNet: Learning Overlapping Mask for Partial-to-Partial Point Cloud
  Registration
OMNet: Learning Overlapping Mask for Partial-to-Partial Point Cloud RegistrationIEEE International Conference on Computer Vision (ICCV), 2021
Hao Xu
Shuaicheng Liu
Guangfu Wang
Guanghui Liu
B. Zeng
3DPC
297
154
0
01 Mar 2021
UnsupervisedR&R: Unsupervised Point Cloud Registration via
  Differentiable Rendering
UnsupervisedR&R: Unsupervised Point Cloud Registration via Differentiable RenderingComputer Vision and Pattern Recognition (CVPR), 2021
Mohamed El Banani
Luya Gao
Justin Johnson
3DPC
129
67
0
23 Feb 2021
Unsupervised Learning of Lidar Features for Use in a Probabilistic
  Trajectory Estimator
Unsupervised Learning of Lidar Features for Use in a Probabilistic Trajectory EstimatorIEEE Robotics and Automation Letters (RA-L), 2021
David J. Yoon
Haowei Zhang
Mona Gridseth
Hugues Thomas
Timothy D. Barfoot
SSL3DPC
158
15
0
22 Feb 2021
Attention Models for Point Clouds in Deep Learning: A Survey
Attention Models for Point Clouds in Deep Learning: A Survey
Xu Wang
Yi Jin
Yigang Cen
Tao Wang
Yidong Li
3DPC
284
14
0
22 Feb 2021
Matching Point Sets with Quantum Circuit Learning
Matching Point Sets with Quantum Circuit LearningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Mohammadreza Noormandipour
Hanchen Wang
3DPC
142
11
0
12 Feb 2021
Hybrid Trilinear and Bilinear Programming for Aligning Partially
  Overlapping Point Sets
Hybrid Trilinear and Bilinear Programming for Aligning Partially Overlapping Point SetsNeurocomputing (Neurocomputing), 2021
Wei Lian
W. Zuo
249
2
0
19 Jan 2021
Provably Approximated ICP
Provably Approximated ICP
Ibrahim Jubran
Alaa Maalouf
Ron Kimmel
Dan Feldman
159
3
0
10 Jan 2021
Self-Supervised Pretraining of 3D Features on any Point-Cloud
Self-Supervised Pretraining of 3D Features on any Point-CloudIEEE International Conference on Computer Vision (ICCV), 2021
Zaiwei Zhang
Rohit Girdhar
Armand Joulin
Ishan Misra
3DPC
457
319
0
07 Jan 2021
CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for
  3D Point Clouds
CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point CloudsComputer Vision and Pattern Recognition (CVPR), 2020
Yiming Zeng
Y. Qian
Zhiyu Zhu
Xianqiang Lyu
Hui Yuan
Ying He
3DPC
343
81
0
31 Dec 2020
A Structure-Aware Method for Direct Pose Estimation
A Structure-Aware Method for Direct Pose EstimationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Hunter Blanton
Scott Workman
Nathan Jacobs
134
8
0
22 Dec 2020
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