Rethinking the Heatmap Regression for Bottom-up Human Pose Estimation

Rethinking the Heatmap Regression for Bottom-up Human Pose Estimation

30 December 2020

Papers citing "Rethinking the Heatmap Regression for Bottom-up Human Pose Estimation"

12 / 12 papers shown

Title
MoFM: A Large-Scale Human Motion Foundation Model Mohammadreza Baharani Ghazal Alinezhad Noghre Armin Danesh Pazho Gabriel Maldonado Hamed Tabkhi AI4CE 47 0 0 08 Feb 2025
DHRNet: A Dual-Path Hierarchical Relation Network for Multi-Person Pose Estimation Yonghao Dang Jianqin Yin Liyuan Liu Pengxiang Ding Yuan Sun Yanzhu Hu 3DH 16 5 0 22 Apr 2024
HEViTPose: High-Efficiency Vision Transformer for Human Pose Estimation Chengpeng Wu Guangxing Tan Chunyu Li ViT 6 0 0 22 Nov 2023
MolGrapher: Graph-based Visual Recognition of Chemical Structures Lucas Morin Martin Danelljan M. I. Agea A. Nassar Valéry Weber Ingmar Meijer Peter W. J. Staar F. I. F. Richard Yu GNN 12 10 0 23 Aug 2023
Human Pose as Compositional Tokens Zigang Geng Chunyu Wang Yixuan Wei Ze Liu Houqiang Li Han Hu 17 47 0 21 Mar 2023
Explicit Box Detection Unifies End-to-End Multi-Person Pose Estimation Jie-jin Yang Ailing Zeng Siyi Liu Feng Li Ruimao Zhang Lei Zhang 4 50 0 03 Feb 2023
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 8 5 0 08 Oct 2022
Poseur: Direct Human Pose Regression with Transformers Wei Mao Yongtao Ge Chunhua Shen Zhi Tian Xinlong Wang Zhibin Wang A. Hengel ViT 14 80 0 19 Jan 2022
Relation-Based Associative Joint Location for Human Pose Estimation in Videos Yonghao Dang Jianqin Yin Shaojie Zhang 3DH 13 20 0 08 Jul 2021
Learning Delicate Local Representations for Multi-Person Pose Estimation Yuanhao Cai Zhicheng Wang Zhengxiong Luo Binyi Yin Angang Du Haoqian Wang X. Zhang Xinyu Zhou Erjin Zhou Jian-jun Sun 103 169 0 09 Mar 2020
Single-Stage Multi-Person Pose Machines Xuecheng Nie Jianfeng Zhang Shuicheng Yan Jiashi Feng 3DH 100 217 0 24 Aug 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 243 9,042 0 06 Jun 2015