Zhifu Zhao

Orcid: 0000-0002-4136-6362

According to our database1, Zhifu Zhao authored at least 15 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
STDM-transformer: Space-time dual multi-scale transformer network for skeleton-based action recognition.
Neurocomputing, January, 2024

2023
View-Normalized and Subject-Independent Skeleton Generation for Action Recognition.
IEEE Trans. Circuits Syst. Video Technol., December, 2023

Adaptive Spatio-Temporal Directed Graph Neural Network for Parkinson's Detection using Vertical Ground Reaction Force.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022
Intelligent Analysis and Positioning of Political Public Opinion in Universities.
Int. J. Artif. Intell. Tools, 2022

2021
Knowledge embedded GCN for skeleton-based two-person interaction recognition.
Neurocomputing, 2021

View-normalized Skeleton Generation for Action Recognition.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020
SGM-Net: Skeleton-guided multimodal network for action recognition.
Pattern Recognit., 2020

Temporal Graph Modeling for Skeleton-based Action Recognition.
CoRR, 2020

A Hybrid-3D Convolutional Network for Video Compressive Sensing.
IEEE Access, 2020

High-resolution Ultrasonic Echo Detection with Two-stage Recurrent Neural Network.
Proceedings of the ICIT 2020, 2020

2019
ROI-CSNet: Compressive sensing network for ROI-aware image recovery.
Signal Process. Image Commun., 2019

Visualizing and understanding of learned compressive sensing with residual network.
Neurocomputing, 2019

2018
Real-Time Vehicle Detection from UAV Imagery.
Proceedings of the Fourth IEEE International Conference on Multimedia Big Data, 2018

2017
Adaptive Measurement Network for CS Image Reconstruction.
CoRR, 2017

Real-Time Illegal Parking Detection System Based on Deep Learning.
Proceedings of the 2017 International Conference on Deep Learning Technologies, 2017


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