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. 2004.10335
  4. Cited By
How to track your dragon: A Multi-Attentional Framework for real-time
  RGB-D 6-DOF Object Pose Tracking

How to track your dragon: A Multi-Attentional Framework for real-time RGB-D 6-DOF Object Pose Tracking

21 April 2020
Isidoros Marougkas
Petros Koutras
Nikos Kardaris
Georgios Retsinas
Georgia Chalvatzaki
Petros Maragos
    VOT
ArXivPDFHTML

Papers citing "How to track your dragon: A Multi-Attentional Framework for real-time RGB-D 6-DOF Object Pose Tracking"

3 / 3 papers shown
Title
Deep Learning on Monocular Object Pose Detection and Tracking: A
  Comprehensive Overview
Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview
Zhaoxin Fan
Yazhi Zhu
Yulin He
Qi Sun
Hongyan Liu
Jun He
28
82
0
29 May 2021
RGB-D-E: Event Camera Calibration for Fast 6-DOF Object Tracking
RGB-D-E: Event Camera Calibration for Fast 6-DOF Object Tracking
Etienne Dubeau
Mathieu Garon
B. Debaque
Raoul de Charette
Jean-François Lalonde
18
17
0
09 Jun 2020
6-DoF Object Pose from Semantic Keypoints
6-DoF Object Pose from Semantic Keypoints
Georgios Pavlakos
Xiaowei Zhou
Aaron Chan
Konstantinos G. Derpanis
Kostas Daniilidis
105
392
0
14 Mar 2017
1