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2020 – today
- 2023
[j6]Guangzhe Liu
, Ke Zhang, Meibo Lv:
SOKS: Automatic Searching of the Optimal Kernel Shapes for Stripe-Wise Network Pruning. IEEE Trans. Neural Networks Learn. Syst. 34(12): 9912-9924 (2023)- 2022
- [j5]Ke Zhang, Guangzhe Liu, Meibo Lv:
RUFP: Reinitializing unimportant filters for soft pruning. Neurocomputing 483: 311-321 (2022) - 2021
- [j4]Guangzhe Liu, Ke Zhang, Meibo Lv:
ASKs: Convolution with any-shape kernels for efficient neural networks. Neurocomputing 446: 32-49 (2021) - [j3]Wuwei Wang, Ke Zhang, Meibo Lv, Jingyu Wang:
Discriminative visual tracking via spatially smooth and steep correlation filters. Inf. Sci. 578: 147-165 (2021) - [j2]Wuwei Wang, Ke Zhang, Meibo Lv, Jingyu Wang:
Hierarchical Spatiotemporal Context-Aware Correlation Filters for Visual Tracking. IEEE Trans. Cybern. 51(12): 6066-6079 (2021) - [c3]Ju He, Xiaofeng Zhao, Junmin Zhao, Meibo Lv, Buhong Zhang:
Research on Integrated Algorithm of Target Detection and Tracking. ICACS 2021: 113-120
2010 – 2019
- 2019
- [j1]Wuwei Wang, Ke Zhang, Meibo Lv:
Robust Visual Tracking Based on Adaptive Extraction and Enhancement of Correlation Filter. IEEE Access 7: 3534-3546 (2019) - [c2]Pei Wang, Huayu Gao, Zheqi Zhou, Meibo Lv:
A Novel Hybrid Firefly Algorithm for Global Optimization. ICCCS 2019: 164-168
2000 – 2009
- 2008
- [c1]Ruixing Yu, Bing Zhu, Ke Zhang, Meibo Lv:
An Image Matching Recognition Approach Based on ICM Icon. FSKD (4) 2008: 20-23
Coauthor Index
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