most citedBottom-Up Human Pose Estimation by Ranking Heatmap-Guided Adaptive Keypoint Estimates

18 citations · 24 across the 2 of their papers we have counts for

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cs.CV20236 cited

DTF-Net: Category-Level Pose Estimation and Shape Reconstruction via Deformable Template Field

Haowen Wang, Zhipeng Fan, Zhen Zhao +7

Estimating 6D poses and reconstructing 3D shapes of objects in open-world scenes from RGB-depth image pairs is challenging. Many existing methods rely on learning geometric feature…

cs.CV2023

Imbalance-Agnostic Source-Free Domain Adaptation via Avatar Prototype Alignment

Hongbin Lin, Mingkui Tan, Yifan Zhang +5

Source-free Unsupervised Domain Adaptation (SF-UDA) aims to adapt a well-trained source model to an unlabeled target domain without access to the source data. One key challenge is…

cs.CV20216 cited

Graph-Based 3D Multi-Person Pose Estimation Using Multi-View Images

Size Wu, Sheng Jin, Wentao Liu +4

This paper studies the task of estimating the 3D human poses of multiple persons from multiple calibrated camera views. Following the top-down paradigm, we decompose the task into…

cs.CV2021

Adaptive Domain-Specific Normalization for Generalizable Person Re-Identification

Jiawei Liu, Zhipeng Huang, Kecheng Zheng +3

Although existing person re-identification (Re-ID) methods have shown impressive accuracy, most of them usually suffer from poor generalization on unseen target domain. Thus, gener…

cs.CV202018 cited

Bottom-Up Human Pose Estimation by Ranking Heatmap-Guided Adaptive Keypoint Estimates

Ke Sun, Zigang Geng, Depu Meng +4

The typical bottom-up human pose estimation framework includes two stages, keypoint detection and grouping. Most existing works focus on developing grouping algorithms, e.g., assoc…