|
Yizhang Liu (刘翼章) |
[13] Fengyuan Zhuang+, Yizhang Liu+, Xiaojie Li, Ji Zhou, Riqing Chen, Lifang Wei, Changcai Yang* and Jiayi Ma. “MGCNet: Multi-granularity consensus network for remote sensing image correspondence pruning,” ISPRS Journal of Photogrammetry and Remote Sensing , 219, pp. 38-51, 2025. [PDF]
[12] Yizhang Liu+, Yanping Li+, and Shengjie Zhao*. “TransMatch: Transformer-based correspondence pruning via local and global consensus,” Pattern Recognition , pp. 111120, 2025. [PDF]
[11] Yizhang Liu, Weiwei Zhou, Yanping Li and Shengjie Zhao*. “RoSe: Rotation-Invariant Sequence-Aware Consensus for Robust Correspondence Pruning,” 32nd ACM International Conference on Multimedia ACM MM , pp. 7754-7763, 2024. [PDF]
[10] Yanping Li, Yizhang Liu, Hongyun Zhang, Cairong Zhao, Zhihua Wei, and Duoqian Miao*. “Occlusion-Aware Transformer With Second-Order Attention for Person Re-Identification,” IEEE Transactions on Image Processing , 33, pp. 3200-3211, 2024. [PDF]
[9] Xiaojie Li+, Fengyuan Zhuang+, Yizhang Liu, Riqing Chen, Lifang Wei, and Changcai Yang*. “PMA-Net: Progressive multi-stage adaptive feature learning for two-view correspondence,” Knowledge-Based Systems , 298, pp. 111927, 2024. [PDF]
[8] Changcai Yang+, Zhijie Lin+, Ziyang Lan, Riqing Chen, Lifang Wei, and Yizhang Liu*. “Evolutionary channel pruning for real-time object detection,” Knowledge-Based Systems , 287, pp. 111432, 2024. [PDF]
[7] Li Ying+, Yizhang Liu+, Zhifei Zhang*, and Duoqian Miao*. “Multi-granularity-Aware Network for SAR Ship Detection in Complex Backgrounds,” IEEE Geoscience and Remote Sensing Letters , 21, pp. 1-5, 2024. [PDF]
[6] Taotao Lai, Yizhang Liu, Jie Chang, Lifang Wei*, Zuoyong Li*, and Hamido Fujita. “Guided sampling for multistructure data via neighborhood consensus and residual sorting,” IEEE Transactions on Circuits and Systems for Video Technology , 33(7), pp. 3043-3054, 2022. [PDF]
[5] Yizhang Liu, BrianNlong Zhao, Shengjie Zhao*, Lin Zhang. “Progressive Motion Coherence for Remote Sensing Image Matching,” IEEE Transactions on Geoscience and Remote Sensing , 60, pp. 1-13, 2022. [PDF]
[4] Yizhang Liu, BrianNlong Zhao, and Shengjie Zhao*. “Rectified neighborhood construction for robust feature matching with heavy outliers,” IEEE Geoscience and Remote Sensing Letters , 19, pp. 1-5, 2022. [PDF]
[3] Luanyuan Dai, Yizhang Liu, Jiayi Ma, Lifang Wei, Taotao Lai, Changcai Yang*, and Riqing Chen. “MS2DG-Net: Progressive correspondence learning via multiple sparse semantics dynamic graph,” IEEE/CVF conference on Computer Vision and Pattern Recognition CVPR, pp. 8973-8982, 2022. [PDF]
[2] Yizhang Liu, Yanping Li, Luanyuan Dai, Taotao Lai, Changcai Yang*, Lifang Wei, and Riqing Chen. “Motion consistency-based correspondence growing for remote sensing image matching,” IEEE Geoscience and Remote Sensing Letters, 10,pp. 1-5, 2021. [PDF]
[1] Yizhang Liu, Yanping Li, Luanyuan Dai, Changcai Yang*, Lifang Wei, Taotao Lai, and Riqing Chen. “Robust feature matching via advanced neighborhood topology consensus,” Neurocomputing, 421, pp. 273-284, 2021. [PDF]
Reviewer:
Updating time: 2024.12.5
本站总访问量次