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Xiu Shu
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2020 – today
- 2024
- [j16]Di Yuan, Gu Geng, Xiu Shu, Qiao Liu, Xiaojun Chang, Zhenyu He, Guangming Shi:
Self-supervised discriminative model prediction for visual tracking. Neural Comput. Appl. 36(10): 5153-5164 (2024) - [j15]Xiu Shu, Yunyun Yang, Jun Liu, Xiaojun Chang, Boying Wu:
BDAL: Balanced Distribution Active Learning for MRI Cardiac Multistructures Segmentation. IEEE Trans. Ind. Informatics 20(4): 6099-6108 (2024) - [j14]Di Yuan, Donghai Liao, Feng Huang, Zhaobing Qiu, Xiu Shu, Chunwei Tian, Qiao Liu:
Hierarchical Attention Siamese Network for Thermal Infrared Target Tracking. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [j13]Di Yuan, Haiping Zhang, Xiu Shu, Qiao Liu, Xiaojun Chang, Zhenyu He, Guangming Shi:
Thermal Infrared Target Tracking: A Comprehensive Review. IEEE Trans. Instrum. Meas. 73: 1-19 (2024) - [j12]Haiping Zhang, Di Yuan, Xiu Shu, Zhihui Li, Qiao Liu, Xiaojun Chang, Zhenyu He, Guangming Shi:
A Comprehensive Review of RGBT Tracking. IEEE Trans. Instrum. Meas. 73: 1-23 (2024) - 2023
- [j11]Di Yuan, Xiu Shu, Qiao Liu, Xinming Zhang, Zhenyu He:
Robust thermal infrared tracking via an adaptively multi-feature fusion model. Neural Comput. Appl. 35(4): 3423-3434 (2023) - [j10]Xiu Shu, Yunyun Yang, Jun Liu, Xiaojun Chang, Boying Wu:
ALVLS: Adaptive local variances-Based levelset framework for medical images segmentation. Pattern Recognit. 136: 109257 (2023) - [j9]Di Yuan, Xiu Shu, Qiao Liu, Zhenyu He:
Aligned Spatial-Temporal Memory Network for Thermal Infrared Target Tracking. IEEE Trans. Circuits Syst. II Express Briefs 70(3): 1224-1228 (2023) - 2022
- [j8]Di Yuan, Xiu Shu, Qiao Liu, Zhenyu He:
Structural target-aware model for thermal infrared tracking. Neurocomputing 491: 44-56 (2022) - [j7]Di Yuan, Xiu Shu, Nana Fan, Xiaojun Chang, Qiao Liu, Zhenyu He:
Accurate bounding-box regression with distance-IoU loss for visual tracking. J. Vis. Commun. Image Represent. 83: 103428 (2022) - 2021
- [j6]Xiu Shu, Yunyun Yang, Boying Wu:
Adaptive segmentation model for liver CT images based on neural network and level set method. Neurocomputing 453: 438-452 (2021) - [j5]Yunyun Yang, Ruofan Wang, Xiu Shu, Chong Feng, Ruicheng Xie, Wenjing Jia, Chunming Li:
Level set framework with transcendental constraint for robust and fast image segmentation. Pattern Recognit. 117: 107985 (2021) - [j4]Xiu Shu, Yunyun Yang, Boying Wu:
A neighbor level set framework minimized with the split Bregman method for medical image segmentation. Signal Process. 189: 108293 (2021) - 2020
- [j3]Di Yuan, Xiu Shu, Zhenyu He:
TRBACF: Learning temporal regularized correlation filters for high performance online visual object tracking. J. Vis. Commun. Image Represent. 72: 102882 (2020) - [j2]Xiu Shu, Di Yuan, Qiao Liu, Jiaqi Liu:
Adaptive weight part-based convolutional network for person re-identification. Multim. Tools Appl. 79(31-32): 23617-23632 (2020)
2010 – 2019
- 2019
- [j1]Yunyun Yang, Wenjing Jia, Xiu Shu, Boying Wu:
Level Set Formulation Based on Edge and Region Information with Application to Accurate Lesion Segmentation of Brain Magnetic Resonance Images. J. Optim. Theory Appl. 182(2): 797-815 (2019) - 2017
- [c1]Yunyun Yang, Xiu Shu, Sheng-hua Zhong:
Active contour model combining local and global information dynamically with application to segment brain MR images. ICBEA 2017: 45-49
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