Zhenhua Wang

Orcid: 0000-0001-5473-1499

Affiliations:
  • Zhejiang University of Technology, College of Computer Science and Technology, Hangzhou, China
  • University of Adelaide, SA, Australia (PhD 2014)


According to our database1, Zhenhua Wang authored at least 28 papers between 2017 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Self-Supervised Enhancement for Named Entity Disambiguation via Multimodal Graph Convolution.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

2023
Human Interaction Understanding With Consistency-Aware Learning.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Human-to-Human Interaction Detection.
CoRR, 2023

Human-to-Human Interaction Detection.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022
Accurate Object Association and Pose Updating for Semantic SLAM.
IEEE Trans. Intell. Transp. Syst., 2022

SSA-Net: Spatial self-attention network for COVID-19 pneumonia infection segmentation with semi-supervised few-shot learning.
Medical Image Anal., 2022

Joint Classification and Regression for Visual Tracking with Fully Convolutional Siamese Networks.
Int. J. Comput. Vis., 2022

Human Interaction Recognition with Skeletal Attention and Shift Graph Convolution.
Proceedings of the International Joint Conference on Neural Networks, 2022

Robust and Accurate Multi-Agent SLAM with Efficient Communication for Smart Mobiles.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

ISDA: Position-Aware Instance Segmentation with Deformable Attention.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Human Interaction Understanding With Joint Graph Decomposition and Node Labeling.
IEEE Trans. Image Process., 2021

Detection and Segmentation of Unlearned Objects in Unknown Environment.
IEEE Trans. Ind. Informatics, 2021

End-to-end feature fusion Siamese network for adaptive visual tracking.
IET Image Process., 2021

Consistency-Aware Graph Network for Human Interaction Understanding.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Graph Attention Tracking.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Accurate Object Association and Pose Updating for Semantic SLAM.
CoRR, 2020

LAGNet: Logic-Aware Graph Network for Human Interaction Understanding.
CoRR, 2020

CalibRCNN: Calibrating Camera and LiDAR by Recurrent Convolutional Neural Network and Geometric Constraints.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

SpSequenceNet: Semantic Segmentation Network on 4D Point Clouds.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Joint Grouping and Labeling via Complete Graph Decomposition.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018
Understanding human activities in videos: A joint action and interaction learning approach.
Neurocomputing, 2018

Siamese Network Based Features Fusion for Adaptive Visual Tracking.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Deep CRF-Graph Learning for Semantic Image Segmentation.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

A Hierarchical Model for Action Recognition Based on Body Parts.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017
A Spatio-Temporal CRF for Human Interaction Understanding.
IEEE Trans. Circuits Syst. Video Technol., 2017

Fast initialization for feature-based monocular slam.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Joint label-interaction learning for human action recognition.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017


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