Nonlinear Low-Rank Matrix Completion for Human Motion Recovery

Author:

Xia GuiyuORCID,Sun Huaijiang,Chen Beijia,Liu QingshanORCID,Feng LeiORCID,Zhang GuoqingORCID,Hang Renlong

Funder

National Natural Science Foundation of China

Project of Science and Technology of Jiangsu Province of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Cited by 31 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Spatial-Temporal Transformer Network for Human Mocap Data Recovery;2023 IEEE International Conference on Image Processing (ICIP);2023-10-08

2. Low-Rank Matrix Completion Based on Schattern-p Norm and Gaussian Kernel;2023 IEEE 13th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER);2023-07-11

3. Matrix completion via modified schatten 2/3-norm;EURASIP Journal on Advances in Signal Processing;2023-06-09

4. An Effective and Efficient Approach for 3D Recovery of Human Motion Capture Data;Sensors;2023-03-31

5. Frame-Padded Multiscale Transformer for Monocular 3D Human Pose Estimation;IEEE Transactions on Multimedia;2023

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