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. 1912.00711
  4. Cited By
Efficient Convolutional Neural Networks for Depth-Based Multi-Person
  Pose Estimation

Efficient Convolutional Neural Networks for Depth-Based Multi-Person Pose Estimation

2 December 2019
Á. Martínez-González
M. Villamizar
Olivier Canévet
J. Odobez
    3DH
ArXivPDFHTML

Papers citing "Efficient Convolutional Neural Networks for Depth-Based Multi-Person Pose Estimation"

4 / 4 papers shown
Title
GTA-Net: An IoT-Integrated 3D Human Pose Estimation System for Real-Time
  Adolescent Sports Posture Correction
GTA-Net: An IoT-Integrated 3D Human Pose Estimation System for Real-Time Adolescent Sports Posture Correction
Shizhe Yuan
Li Zhou
3DH
45
5
0
11 Nov 2024
AdaptivePose++: A Powerful Single-Stage Network for Multi-Person Pose
  Regression
AdaptivePose++: A Powerful Single-Stage Network for Multi-Person Pose Regression
Yabo Xiao
Xiaojuan Wang
Dongdong Yu
Kai Su
Lei Jin
Mei Song
Shuicheng Yan
Jian-jun Zhao
3DH
40
5
0
08 Oct 2022
Binarizing by Classification: Is soft function really necessary?
Binarizing by Classification: Is soft function really necessary?
Yefei He
Luoming Zhang
Weijia Wu
Hong Zhou
MQ
23
3
0
16 May 2022
DensePose: Dense Human Pose Estimation In The Wild
DensePose: Dense Human Pose Estimation In The Wild
R. Güler
Natalia Neverova
Iasonas Kokkinos
3DH
228
1,388
0
01 Feb 2018
1