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. 2003.03167
  4. Cited By
When Deep Learning Meets Data Alignment: A Review on Deep Registration
  Networks (DRNs)

When Deep Learning Meets Data Alignment: A Review on Deep Registration Networks (DRNs)

6 March 2020
Victor Villena-Martinez
Sergiu Oprea
Marcelo Saval-Calvo
J. Azorín-López
Andrés Fuster-Guilló
Robert B. Fisher
ArXivPDFHTML

Papers citing "When Deep Learning Meets Data Alignment: A Review on Deep Registration Networks (DRNs)"

3 / 3 papers shown
Title
3D-CODED : 3D Correspondences by Deep Deformation
3D-CODED : 3D Correspondences by Deep Deformation
Thibault Groueix
Matthew Fisher
Vladimir G. Kim
Bryan C. Russell
Mathieu Aubry
3DPC
3DV
115
325
0
13 Jun 2018
3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object
  Deformations
3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations
Zhihua Wang
Stefano Rosa
Bo Yang
Sen Wang
A. Trigoni
Andrew Markham
AI4CE
23
25
0
25 Apr 2018
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional
  Filters
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
Yifan Xu
Tianqi Fan
Mingye Xu
Long Zeng
Yu Qiao
3DV
3DPC
147
760
0
30 Mar 2018
1