Peizhong Liu

According to our database1, Peizhong Liu authored at least 34 papers between 2014 and 2022.

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



In proceedings 
PhD thesis 




Automatic classification method of liver ultrasound standard plane images using pre-trained convolutional neural network.
Connect. Sci., 2022

Detection of cervical lesions in colposcopic images based on the RetinaNet method.
Biomed. Signal Process. Control., 2022

Robust adaptive learning with Siamese network architecture for visual tracking.
Vis. Comput., 2021

Recent Progress in the Development of Graphene Detector for Terahertz Detection.
Sensors, 2021

Manifold learning with structured subspace for multi-label feature selection.
Pattern Recognit., 2021

Evolutionary multi-task optimization with hybrid knowledge transfer strategy.
Inf. Sci., 2021

Recognition of Fetal Facial Ultrasound Standard Plane Based on Texture Feature Fusion.
Comput. Math. Methods Medicine, 2021

Recognition of Thyroid Ultrasound Standard Plane Images Based on Residual Network.
Comput. Intell. Neurosci., 2021

Long-term correlation tracking via spatial-temporal context.
Vis. Comput., 2020

Robust visual tracking using self-adaptive strategy.
Multim. Tools Appl., 2020

Texture Feature-Based Classification on Transrectal Ultrasound Image for Prostatic Cancer Detection.
Comput. Math. Methods Medicine, 2020

Cervical precancerous lesions classification using pre-trained densely connected convolutional networks with colposcopy images.
Biomed. Signal Process. Control., 2020

Detection of cervical lesion region from colposcopic images based on feature reselection.
Biomed. Signal Process. Control., 2020

CA-GAN: Class-Condition Attention GAN for Underwater Image Enhancement.
IEEE Access, 2020

MDFI: Multi-CNN Decision Feature Integration for Diagnosis of Cervical Precancerous Lesions.
IEEE Access, 2020

Adaptive Hyper-Feature Fusion for Visual Tracking.
IEEE Access, 2020

Enhancing Differential Evolution on Continuous Optimization Problems by Detecting Promising Leaders.
IEEE Access, 2020

Multi-Person Pose Estimation via Multi-Layer Fractal Network and Joints Kinship Pattern.
IEEE Trans. Image Process., 2019

Online convolution network tracking via spatio-temporal context.
Multim. Tools Appl., 2019

Combining fractal hourglass network and skeleton joints pairwise affinity for multi-person pose estimation.
Multim. Tools Appl., 2019

Multiscale Cooperative Differential Evolution Algorithm.
Comput. Intell. Neurosci., 2019

A Robust Visual Tracking Algorithm Based on Spatial-Temporal Context Hierarchical Response Fusion.
Algorithms, 2019

Breast Microcalcification Detection Algorithm Based on Contourlet and ASVM.
Algorithms, 2019

Cervical Image Segmentation using U-Net Model.
Proceedings of the 2019 International Symposium on Intelligent Signal Processing and Communication Systems, 2019

Fire smoke detection algorithm based on motion characteristic and convolutional neural networks.
Multim. Tools Appl., 2018

Correlation Tracking via Self-Adaptive Fusion of Multiple Features.
Inf., 2018

Fusion of Deep Learning and Compressed Domain Features for Content-Based Image Retrieval.
IEEE Trans. Image Process., 2017

Ocular Recognition for Blinking Eyes.
IEEE Trans. Image Process., 2017

3D face reconstruction via landmark depth estimation and shape deformation.
Multim. Tools Appl., 2017

Fusion of color histogram and LBP-based features for texture image retrieval and classification.
Inf. Sci., 2017

An novel random forests and its application to the classification of mangroves remote sensing image.
Multim. Tools Appl., 2016

Robustness and Fragility of a New Local-World Dynamical Network Model.
Proceedings of the IEEE Eighth International Conference on Software Security and Reliability, 2014

Real-Time Tracking via Deformable Structure Regression Learning.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

3D Face Reconstruction via Feature Point Depth Estimation and Shape Deformation.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014