Xiu Shu

Orcid: 0009-0008-2461-4126

According to our database1, Xiu Shu authored at least 15 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
BDAL: Balanced Distribution Active Learning for MRI Cardiac Multistructures Segmentation.
IEEE Trans. Ind. Informatics, April, 2024

Self-supervised discriminative model prediction for visual tracking.
Neural Comput. Appl., April, 2024

Thermal Infrared Target Tracking: A Comprehensive Review.
IEEE Trans. Instrum. Meas., 2024

2023
ALVLS: Adaptive local variances-Based levelset framework for medical images segmentation.
Pattern Recognit., April, 2023

Aligned Spatial-Temporal Memory Network for Thermal Infrared Target Tracking.
IEEE Trans. Circuits Syst. II Express Briefs, March, 2023

Robust thermal infrared tracking via an adaptively multi-feature fusion model.
Neural Comput. Appl., February, 2023

2022
Accurate bounding-box regression with distance-IoU loss for visual tracking.
J. Vis. Commun. Image Represent., 2022

Structural target-aware model for thermal infrared tracking.
Neurocomputing, 2022

2021
A neighbor level set framework minimized with the split Bregman method for medical image segmentation.
Signal Process., 2021

Level set framework with transcendental constraint for robust and fast image segmentation.
Pattern Recognit., 2021

Adaptive segmentation model for liver CT images based on neural network and level set method.
Neurocomputing, 2021

2020
Adaptive weight part-based convolutional network for person re-identification.
Multim. Tools Appl., 2020

TRBACF: Learning temporal regularized correlation filters for high performance online visual object tracking.
J. Vis. Commun. Image Represent., 2020

2019
Level Set Formulation Based on Edge and Region Information with Application to Accurate Lesion Segmentation of Brain Magnetic Resonance Images.
J. Optim. Theory Appl., 2019

2017
Active contour model combining local and global information dynamically with application to segment brain MR images.
Proceedings of the 2017 International Conference on Biometrics Engineering and Application, 2017


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