ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1802.07869
  4. Cited By
End-to-end learning of keypoint detector and descriptor for pose
  invariant 3D matching

End-to-end learning of keypoint detector and descriptor for pose invariant 3D matching

22 February 2018
G. Georgakis
Srikrishna Karanam
Ziyan Wu
Jan Ernst
Jana Kosecka
    3DPC
    3DV
ArXivPDFHTML

Papers citing "End-to-end learning of keypoint detector and descriptor for pose invariant 3D matching"

18 / 18 papers shown
Title
EOPose : Exemplar-based object reposing using Generalized Pose Correspondences
EOPose : Exemplar-based object reposing using Generalized Pose Correspondences
Sarthak Mehrotra
Rishabh Jain
Mayur Hemani
Balaji Krishnamurthy
Mausoom Sarkar
51
0
0
06 May 2025
Review on 6D Object Pose Estimation with the focus on Indoor Scene
  Understanding
Review on 6D Object Pose Estimation with the focus on Indoor Scene Understanding
Negar Nejatishahidin
Pooya Fayyazsanavi
3DPC
27
0
0
04 Dec 2022
Partially Does It: Towards Scene-Level FG-SBIR with Partial Input
Partially Does It: Towards Scene-Level FG-SBIR with Partial Input
Pinaki Nath Chowdhury
A. Bhunia
Viswanatha Reddy Gajjala
Aneeshan Sain
Tao Xiang
Yi-Zhe Song
20
20
0
28 Mar 2022
SpineOne: A One-Stage Detection Framework for Degenerative Discs and
  Vertebrae
SpineOne: A One-Stage Detection Framework for Degenerative Discs and Vertebrae
Jiabo He
Wei Liu
Yu Wang
Xingjun Ma
Xianming Hua
27
5
0
28 Oct 2021
FPCC: Fast Point Cloud Clustering based Instance Segmentation for
  Industrial Bin-picking
FPCC: Fast Point Cloud Clustering based Instance Segmentation for Industrial Bin-picking
Yajun Xu
S. Arai
Diyi Liu
Fang-Erh Lin
K. Kosuge
3DPC
8
34
0
29 Dec 2020
UKPGAN: A General Self-Supervised Keypoint Detector
UKPGAN: A General Self-Supervised Keypoint Detector
Yang You
Wenhai Liu
Yanjie Ze
Yong-Lu Li
Weiming Wang
Cewu Lu
3DPC
32
20
0
24 Nov 2020
SK-Net: Deep Learning on Point Cloud via End-to-end Discovery of Spatial
  Keypoints
SK-Net: Deep Learning on Point Cloud via End-to-end Discovery of Spatial Keypoints
Weikun Wu
Yan Zhang
David Wang
Yunqi Lei
3DPC
21
50
0
31 Mar 2020
DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised
  Representation Learning
DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised Representation Learning
Jaime Spencer
Richard Bowden
Simon Hadfield
MDE
SSL
35
93
0
30 Mar 2020
An End-to-end Deep Learning Approach for Landmark Detection and Matching
  in Medical Images
An End-to-end Deep Learning Approach for Landmark Detection and Matching in Medical Images
Monika Grewal
T. Deist
J. Wiersma
Peter A. N. Bosman
Tanja Alderliesten
MedIm
17
13
0
21 Jan 2020
SKD: Keypoint Detection for Point Clouds using Saliency Estimation
SKD: Keypoint Detection for Point Clouds using Saliency Estimation
Georgi Tinchev
Adrian Penate-Sanchez
Maurice F. Fallon
3DPC
21
2
0
10 Dec 2019
ViewSynth: Learning Local Features from Depth using View Synthesis
ViewSynth: Learning Local Features from Depth using View Synthesis
Jisan Mahmud
Rajat Vikram Singh
Peri Akiva
S. Kundu
Kuan-Chuan Peng
Jan-Michael Frahm
3DV
27
2
0
22 Nov 2019
R2D2: Repeatable and Reliable Detector and Descriptor
R2D2: Repeatable and Reliable Detector and Descriptor
Jérôme Revaud
Philippe Weinzaepfel
César Roberto de Souza
Noé Pion
G. Csurka
Yohann Cabon
Martin Humenberger
47
473
0
14 Jun 2019
DeepICP: An End-to-End Deep Neural Network for 3D Point Cloud
  Registration
DeepICP: An End-to-End Deep Neural Network for 3D Point Cloud Registration
Weixin Lu
Guowei Wan
Yao Zhou
Xiangyu Fu
P. Yuan
Shiyu Song
3DPC
3DV
16
270
0
10 May 2019
Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters
Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters
Axel Barroso Laguna
Edgar Riba
D. Ponsa
K. Mikolajczyk
3DPC
18
274
0
01 Apr 2019
Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context
  Aggregation
Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation
Jaime Spencer
Richard Bowden
Simon Hadfield
26
12
0
25 Mar 2019
MIST: Multiple Instance Spatial Transformer Network
MIST: Multiple Instance Spatial Transformer Network
Baptiste Angles
Shahram Izadi
Simon Kornblith
Andrea Tagliasacchi
K. M. Yi
30
5
0
26 Nov 2018
Learning Local RGB-to-CAD Correspondences for Object Pose Estimation
Learning Local RGB-to-CAD Correspondences for Object Pose Estimation
G. Georgakis
Srikrishna Karanam
Ziyan Wu
Jana Kosecka
3DPC
19
11
0
18 Nov 2018
Learning and Matching Multi-View Descriptors for Registration of Point
  Clouds
Learning and Matching Multi-View Descriptors for Registration of Point Clouds
Lei Zhou
Siyu Zhu
Zixin Luo
Tianwei Shen
Runze Zhang
Mingmin Zhen
Tian Fang
Long Quan
3DV
3DPC
27
48
0
16 Jul 2018
1