Exploiting Temporal Contexts With Strided Transformer for 3D Human Pose Estimation-Reference-Cited by-同舟云学术

Exploiting Temporal Contexts With Strided Transformer for 3D Human Pose Estimation

Published:2023 Issue: Volume:25 Page:1282-1293
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Li Wenhao¹^ORCID,Liu Hong¹^ORCID,Ding Runwei¹^ORCID,Liu Mengyuan²^ORCID,Wang Pichao³^ORCID,Yang Wenming⁴^ORCID

Affiliation:

1. Key Laboratory of Machine Perception, Shenzhen Graduate School, Peking University, Beijing, China

2. School of Intelligent Systems Engineering, Sun Yat-sen University, Guangdong, China

3. Alibaba Group, Bellevue, WA, USA

4. Shenzhen Key Lab of Information Science and Technology, Shenzhen Engineering Laboratory of IS&DRM, Department of Electronic Engineering, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China

Funder

National Key R&D Program of China

Basic and Applied Basic Research Foundation of Guangdong

Science and Technology Plan of Shenzhen

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6046/10016790/09674785.pdf?arnumber=9674785

Reference65 articles.

1. Memory Attention Networks for Skeleton-Based Action Recognition

2. Rethinking Pose in 3D: Multi-stage Refinement and Recovery for Markerless Motion Capture

3. Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition

4. Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation

5. Action Recognition Using 3D Histograms of Texture and A Multi-Class Boosting Classifier

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