ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1905.03304
  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
Robust Kernel-based Feature Representation for 3D Point Cloud Analysis
  via Circular Convolutional Network
Robust Kernel-based Feature Representation for 3D Point Cloud Analysis via Circular Convolutional NetworkComputer Vision and Image Understanding (CVIU), 2020
Seunghwan Jung
Y. Shin
Minyoung Chung
3DPC
216
6
0
22 Dec 2020
Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose
  Estimation
Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose EstimationInternational Journal of Computer Vision (IJCV), 2020
Haowen Deng
Mai Bui
Nassir Navab
Leonidas Guibas
Slobodan Ilic
Tolga Birdal
3DH
317
65
0
20 Dec 2020
PCT: Point cloud transformer
PCT: Point cloud transformerComputational Visual Media (CVM), 2020
Meng-Hao Guo
Junxiong Cai
Zheng-Ning Liu
Tai-Jiang Mu
Ralph Robert Martin
Shimin Hu
ViT3DPC
616
1,930
0
17 Dec 2020
Shape My Face: Registering 3D Face Scans by Surface-to-Surface
  Translation
Shape My Face: Registering 3D Face Scans by Surface-to-Surface TranslationInternational Journal of Computer Vision (IJCV), 2020
Mehdi Bahri
Eimear O' Sullivan
Shunwang Gong
Feng Liu
Xiaoming Liu
M. Bronstein
Stefanos Zafeiriou
CVBM3DH
241
17
0
16 Dec 2020
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene
  Contexts
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene ContextsComputer Vision and Pattern Recognition (CVPR), 2020
Ji Hou
Benjamin Graham
Matthias Nießner
Saining Xie
3DPC
384
308
0
16 Dec 2020
A Registration-aided Domain Adaptation Network for 3D Point Cloud Based
  Place Recognition
A Registration-aided Domain Adaptation Network for 3D Point Cloud Based Place RecognitionIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Zhijian Qiao
Hanjiang Hu
Zhuowen Shen
Siyuan Chen
Yanfeng Guo
Hesheng Wang
3DPC
245
14
0
09 Dec 2020
Canonical Capsules: Self-Supervised Capsules in Canonical Pose
Canonical Capsules: Self-Supervised Capsules in Canonical Pose
Weiwei Sun
Andrea Tagliasacchi
Boyang Deng
S. Sabour
S. Yazdani
Geoffrey E. Hinton
K. M. Yi
3DPC
347
44
0
08 Dec 2020
PlueckerNet: Learn to Register 3D Line Reconstructions
PlueckerNet: Learn to Register 3D Line ReconstructionsComputer Vision and Pattern Recognition (CVPR), 2020
Liu Liu
Hongdong Li
Haodong Yao
Ruyi Zha
3DPC3DV
222
8
0
02 Dec 2020
End-to-End 3D Point Cloud Learning for Registration Task Using Virtual
  Correspondences
End-to-End 3D Point Cloud Learning for Registration Task Using Virtual CorrespondencesIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Zhijian Qiao
Huanshu Wei
Yanfeng Guo
Chuanzhe Suo
Hesheng Wang
3DPC
172
24
0
30 Nov 2020
PREDATOR: Registration of 3D Point Clouds with Low Overlap
PREDATOR: Registration of 3D Point Clouds with Low OverlapComputer Vision and Pattern Recognition (CVPR), 2020
Shengyu Huang
Zan Gojcic
Mikhail (Misha) Usvyatsov
A. Wieser
Konrad Schindler
3DPC
238
627
0
25 Nov 2020
Deep Magnification-Flexible Upsampling over 3D Point Clouds
Deep Magnification-Flexible Upsampling over 3D Point CloudsIEEE Transactions on Image Processing (TIP), 2020
Y. Qian
Xianqiang Lyu
Sam Kwong
Ying He
3DPC
300
49
0
25 Nov 2020
Recurrent Multi-view Alignment Network for Unsupervised Surface
  Registration
Recurrent Multi-view Alignment Network for Unsupervised Surface RegistrationComputer Vision and Pattern Recognition (CVPR), 2020
Wanquan Feng
Juyong Zhang
Hongrui Cai
Haofei Xu
Xianqiang Lyu
Hujun Bao
3DV3DPC
224
48
0
24 Nov 2020
Multi-Features Guidance Network for partial-to-partial point cloud
  registration
Multi-Features Guidance Network for partial-to-partial point cloud registration
Hongyuan Wang
Xiang Liu
Wen Kang
Zhiqiang Yan
Bingwen Wang
Qianhao Ning
3DPC
161
19
0
24 Nov 2020
3D Registration for Self-Occluded Objects in Context
3D Registration for Self-Occluded Objects in Context
Zheng Dang
Fei Wang
Mathieu Salzmann
3DPC
125
2
0
23 Nov 2020
A Method to Generate High Precision Mesh Model and RGB-D Datasetfor 6D
  Pose Estimation Task
A Method to Generate High Precision Mesh Model and RGB-D Datasetfor 6D Pose Estimation Task
M. Lu
Yu-Xiao Guo
Fei Wang
Zheng Dang
3DH
115
1
0
17 Nov 2020
Irregularly Tabulated MLP for Fast Point Feature Embedding
Irregularly Tabulated MLP for Fast Point Feature Embedding
Yusuke Sekikawa
Teppei Suzuki
140
2
0
13 Nov 2020
A New Framework for Registration of Semantic Point Clouds from Stereo
  and RGB-D Cameras
A New Framework for Registration of Semantic Point Clouds from Stereo and RGB-D Cameras
Ray Zhang
Tzu-Yuan Lin
Chien-Erh Lin
Steven A. Parkison
William Clark
J. Grizzle
Ryan Eustice
Maani Ghaffari
3DV3DPC
173
13
0
10 Nov 2020
Registration Loss Learning for Deep Probabilistic Point Set Registration
Registration Loss Learning for Deep Probabilistic Point Set Registration
Felix Järemo Lawin
Per-Erik Forssén
3DV3DPC
136
5
0
04 Nov 2020
Scene Flow from Point Clouds with or without Learning
Scene Flow from Point Clouds with or without LearningInternational Conference on 3D Vision (3DV), 2020
J. K. Pontes
James Hays
Simon Lucey
3DPC
233
73
0
31 Oct 2020
Correspondence Matrices are Underrated
Correspondence Matrices are UnderratedInternational Conference on 3D Vision (3DV), 2020
T. Zodage
Rahul Chakwate
Vinit Sarode
Rangaprasad Arun Srivatsan
Howie Choset
113
10
0
30 Oct 2020
3D Meta-Registration: Learning to Learn Registration of 3D Point Clouds
3D Meta-Registration: Learning to Learn Registration of 3D Point Clouds
Lingjing Wang
Yuting Hao
Xiang Li
Yi Fang
3DPC
133
1
0
22 Oct 2020
3D Meta Point Signature: Learning to Learn 3D Point Signature for 3D
  Dense Shape Correspondence
3D Meta Point Signature: Learning to Learn 3D Point Signature for 3D Dense Shape Correspondence
Niraj Pudasaini
Lingjing Wang
Xiang Li
Yi Fang
3DPC
148
0
0
21 Oct 2020
GDN: A Coarse-To-Fine (C2F) Representation for End-To-End 6-DoF Grasp
  Detection
GDN: A Coarse-To-Fine (C2F) Representation for End-To-End 6-DoF Grasp DetectionConference on Robot Learning (CoRL), 2020
Kuang-Yu Jeng
Yueh-Cheng Liu
Zhe-Yu Liu
Jen-Wei Wang
Ya-Liang Chang
Hung-Ting Su
Winston H. Hsu
3DPC
169
21
0
21 Oct 2020
MaskNet: A Fully-Convolutional Network to Estimate Inlier Points
MaskNet: A Fully-Convolutional Network to Estimate Inlier PointsInternational Conference on 3D Vision (3DV), 2020
Vinit Sarode
Animesh Dhagat
Rangaprasad Arun Srivatsan
N. Zevallos
Simon Lucey
Howie Choset
3DPC
174
34
0
19 Oct 2020
Graphite: GRAPH-Induced feaTure Extraction for Point Cloud Registration
Graphite: GRAPH-Induced feaTure Extraction for Point Cloud RegistrationInternational Conference on 3D Vision (3DV), 2020
Mahdi Saleh
Shervin Dehghani
Benjamin Busam
Nassir Navab
Federico Tombari
3DPC
153
16
0
18 Oct 2020
Best Buddies Registration for Point Clouds
Best Buddies Registration for Point CloudsAsian Conference on Computer Vision (ACCV), 2020
Amnon Drory
Tal Shomer
S. Avidan
Raja Giryes
3DPC
164
6
0
05 Oct 2020
Mapping of Sparse 3D Data using Alternating Projection
Mapping of Sparse 3D Data using Alternating ProjectionAsian Conference on Computer Vision (ACCV), 2020
Siddhant Ranade
Xin Yu
S. Kakkar
Pedro Miraldo
Srikumar Ramalingam
3DPC
185
2
0
04 Oct 2020
Deep-3DAligner: Unsupervised 3D Point Set Registration Network With
  Optimizable Latent Vector
Deep-3DAligner: Unsupervised 3D Point Set Registration Network With Optimizable Latent Vector
Lingjing Wang
Xiang Li
Yi Fang
3DPC
102
3
0
29 Sep 2020
Fast Gravitational Approach for Rigid Point Set Registration with
  Ordinary Differential Equations
Fast Gravitational Approach for Rigid Point Set Registration with Ordinary Differential Equations
Sk Aziz Ali
Kerem Kahraman
Christian Theobalt
D. Stricker
Vladislav Golyanik
138
3
0
28 Sep 2020
Unsupervised Partial Point Set Registration via Joint Shape Completion
  and Registration
Unsupervised Partial Point Set Registration via Joint Shape Completion and Registration
Xiang Li
Lingjing Wang
Yi Fang
3DPC
100
8
0
11 Sep 2020
Unsupervised Point Cloud Registration via Salient Points Analysis (SPA)
Unsupervised Point Cloud Registration via Salient Points Analysis (SPA)Visual Communications and Image Processing (VCIP), 2020
Pranav Kadam
Min Zhang
Shan Liu
C.-C. Jay Kuo
3DPC
99
25
0
02 Sep 2020
PointNetLK Revisited
PointNetLK Revisited
Xueqian Li
J. K. Pontes
Simon Lucey
3DPC
162
10
0
21 Aug 2020
DeepGMR: Learning Latent Gaussian Mixture Models for Registration
DeepGMR: Learning Latent Gaussian Mixture Models for Registration
Wentao Yuan
Benjamin Eckart
Kihwan Kim
Varun Jampani
Dieter Fox
Jan Kautz
3DPC
177
247
0
20 Aug 2020
Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance
  Discrimination
Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination
Peng-Shuai Wang
Yuqi Yang
Qian-Fang Zou
Zhirong Wu
Yang Liu
Xin Tong
3DPC
195
53
0
03 Aug 2020
GP-Aligner: Unsupervised Non-rigid Groupwise Point Set Registration
  Based On Optimized Group Latent Descriptor
GP-Aligner: Unsupervised Non-rigid Groupwise Point Set Registration Based On Optimized Group Latent Descriptor
Lingjing Wang
Xiang Li
Yi Fang
83
0
0
25 Jul 2020
FLOT: Scene Flow on Point Clouds Guided by Optimal Transport
FLOT: Scene Flow on Point Clouds Guided by Optimal Transport
Gilles Puy
Alexandre Boulch
Renaud Marlet
3DPCOT
422
216
0
22 Jul 2020
PointContrast: Unsupervised Pre-training for 3D Point Cloud
  Understanding
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
Saining Xie
Jiatao Gu
Demi Guo
C. Qi
Leonidas Guibas
Or Litany
3DPC
650
750
0
21 Jul 2020
Pillar-based Object Detection for Autonomous Driving
Pillar-based Object Detection for Autonomous Driving
Yue Wang
Alireza Fathi
Abhijit Kundu
David A. Ross
C. Pantofaru
Thomas Funkhouser
Justin Solomon
3DPC
300
246
0
20 Jul 2020
Mapping in a cycle: Sinkhorn regularized unsupervised learning for point
  cloud shapes
Mapping in a cycle: Sinkhorn regularized unsupervised learning for point cloud shapesEuropean Conference on Computer Vision (ECCV), 2020
Lei Yang
Wenxi Liu
Zhiming Cui
Nenglun Chen
Wenping Wang
3DPC
106
16
0
19 Jul 2020
DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF
  Relocalization
DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF RelocalizationEuropean Conference on Computer Vision (ECCV), 2020
Juan Du
Rui Wang
Zorah Lähner
3DPC
121
111
0
17 Jul 2020
Fast and Robust Iterative Closest Point
Fast and Robust Iterative Closest PointIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Juyong Zhang
Yuxin Yao
Bailin Deng
3DPC
209
333
0
15 Jul 2020
A Survey on Deep Learning for Localization and Mapping: Towards the Age
  of Spatial Machine Intelligence
A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine Intelligence
Changhao Chen
Binghai Wang
Chris Xiaoxuan Lu
A. Trigoni
Andrew Markham
301
148
0
22 Jun 2020
Unsupervised Learning of Global Registration of Temporal Sequence of
  Point Clouds
Unsupervised Learning of Global Registration of Temporal Sequence of Point Clouds
Lingjing Wang
Yi Shi
Xiang Li
Yi Fang
3DPC
103
3
0
17 Jun 2020
Unsupervised Learning of 3D Point Set Registration
Unsupervised Learning of 3D Point Set Registration
Lingjing Wang
Xiang Li
Yi Fang
3DPC
120
10
0
11 Jun 2020
Learning 3D-3D Correspondences for One-shot Partial-to-partial
  Registration
Learning 3D-3D Correspondences for One-shot Partial-to-partial Registration
Zheng Dang
Fei Wang
Mathieu Salzmann
3DPC
156
19
0
08 Jun 2020
A Smooth Representation of Belief over SO(3) for Deep Rotation Learning
  with Uncertainty
A Smooth Representation of Belief over SO(3) for Deep Rotation Learning with Uncertainty
Valentin Peretroukhin
Matthew Giamou
David M. Rosen
W. N. Greene
Nicholas Roy
Jonathan Kelly
292
50
0
01 Jun 2020
DPDist : Comparing Point Clouds Using Deep Point Cloud Distance
DPDist : Comparing Point Clouds Using Deep Point Cloud DistanceEuropean Conference on Computer Vision (ECCV), 2020
Dahlia Urbach
Yizhak Ben-Shabat
M. Lindenbaum
3DPC
130
40
0
24 Apr 2020
Deep Global Registration
Deep Global Registration
Chris Choy
W. Dong
V. Koltun
3DPC
214
551
0
24 Apr 2020
DMLO: Deep Matching LiDAR Odometry
DMLO: Deep Matching LiDAR OdometryIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Zhichao Li
Naiyan Wang
178
52
0
08 Apr 2020
RPM-Net: Robust Point Matching using Learned Features
RPM-Net: Robust Point Matching using Learned FeaturesComputer Vision and Pattern Recognition (CVPR), 2020
Zi Jian Yew
Gim Hee Lee
3DPC
207
523
0
30 Mar 2020
Previous
12345678
Next