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. 2206.07117
  4. Cited By
TriHorn-Net: A Model for Accurate Depth-Based 3D Hand Pose Estimation

TriHorn-Net: A Model for Accurate Depth-Based 3D Hand Pose Estimation

14 June 2022
Mohammad Rezaei
R. Rastgoo
V. Athitsos
    3DH
ArXivPDFHTML

Papers citing "TriHorn-Net: A Model for Accurate Depth-Based 3D Hand Pose Estimation"

4 / 4 papers shown
Title
Tracking Fast by Learning Slow: An Event-based Speed Adaptive Hand
  Tracker Leveraging Knowledge in RGB Domain
Tracking Fast by Learning Slow: An Event-based Speed Adaptive Hand Tracker Leveraging Knowledge in RGB Domain
Chuanlin Lan
Ziyuan Yin
Arindam Basu
Rosa H. M. Chan
25
2
0
28 Feb 2023
Word separation in continuous sign language using isolated signs and
  post-processing
Word separation in continuous sign language using isolated signs and post-processing
R. Rastgoo
Kourosh Kiani
Sergio Escalera
SLR
11
8
0
02 Apr 2022
Weakly Supervised 3D Hand Pose Estimation via Biomechanical Constraints
Weakly Supervised 3D Hand Pose Estimation via Biomechanical Constraints
Adrian Spurr
Umar Iqbal
Pavlo Molchanov
Otmar Hilliges
Jan Kautz
3DH
107
147
0
20 Mar 2020
Deep High-Resolution Representation Learning for Visual Recognition
Deep High-Resolution Representation Learning for Visual Recognition
Jingdong Wang
Ke Sun
Tianheng Cheng
Borui Jiang
Chaorui Deng
...
Yadong Mu
Mingkui Tan
Xinggang Wang
Wenyu Liu
Bin Xiao
195
3,531
0
20 Aug 2019
1