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. 2208.05067
  4. Cited By
Learning to Complete Object Shapes for Object-level Mapping in Dynamic
  Scenes

Learning to Complete Object Shapes for Object-level Mapping in Dynamic Scenes

9 August 2022
Binbin Xu
Andrew J. Davison
Stefan Leutenegger
ArXivPDFHTML

Papers citing "Learning to Complete Object Shapes for Object-level Mapping in Dynamic Scenes"

6 / 6 papers shown
Title
An Object SLAM Framework for Association, Mapping, and High-Level Tasks
An Object SLAM Framework for Association, Mapping, and High-Level Tasks
Yanmin Wu
Yunzhou Zhang
Delong Zhu
Zhiqiang Deng
Wenkai Sun
Xin Chen
Jian Zhang
16
33
0
12 May 2023
MOLTR: Multiple Object Localisation, Tracking, and Reconstruction from
  Monocular RGB Videos
MOLTR: Multiple Object Localisation, Tracking, and Reconstruction from Monocular RGB Videos
Kejie Li
Hamid Rezatofighi
Ian Reid
53
25
0
09 Dec 2020
Convolutional Occupancy Networks
Convolutional Occupancy Networks
Songyou Peng
Michael Niemeyer
L. Mescheder
Marc Pollefeys
Andreas Geiger
3DV
AI4CE
212
968
0
10 Mar 2020
DynaSLAM: Tracking, Mapping and Inpainting in Dynamic Scenes
DynaSLAM: Tracking, Mapping and Inpainting in Dynamic Scenes
Berta Bescós
José M. Fácil
Javier Civera
José Neira
56
836
0
14 Jun 2018
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
219
14,047
0
02 Dec 2016
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D
  Cameras
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras
Raul Mur-Artal
Juan D. Tardós
201
5,352
0
20 Oct 2016
1