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2020 – today
- 2024
[j6]Weijia Wu, Yuzhong Zhao, Zhuang Li, Lianlei Shan, Hong Zhou, Mike Zheng Shou:
Continual Learning for Image Segmentation With Dynamic Query. IEEE Trans. Circuits Syst. Video Technol. 34(6): 4874-4886 (2024)- [c8]Yuyang Ji, Lianlei Shan:
LDNET: Semantic Segmentation Of High-Resolution Images Via Learnable Patch Proposal And Dynamic Refinement. ICME 2024: 1-6 - [i6]Xingyu Ding, Lianlei Shan, Guiqin Zhao, Meiqi Wu, Wenzhang Zhou, Wei Li:
The Binary Quantized Neural Network for Dense Prediction via Specially Designed Upsampling and Attention. CoRR abs/2405.17776 (2024) - [i5]Lianlei Shan, Weiqiang Wang, Ke Lv, Bin Luo:
Edge-guided and Class-balanced Active Learning for Semantic Segmentation of Aerial Images. CoRR abs/2405.18078 (2024) - [i4]Lianlei Shan, Wenzhang Zhou, Wei Li, Xingyu Ding:
Lifelong Learning and Selective Forgetting via Contrastive Strategy. CoRR abs/2405.18663 (2024) - [i3]Lianlei Shan, Wenzhang Zhou, Wei Li, Xingyu Ding:
Organizing Background to Explore Latent Classes for Incremental Few-shot Semantic Segmentation. CoRR abs/2405.19568 (2024) - 2023
- [j5]Lianlei Shan
, Guiqin Zhao, Jun Xie, Peirui Cheng, Xiaobin Li, Zhepeng Wang:
A Data-Related Patch Proposal for Semantic Segmentation of Aerial Images. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j4]Lianlei Shan, Weiqiang Wang, Ke Lv, Bin Luo:
Boosting Semantic Segmentation of Aerial Images via Decoupled and Multilevel Compaction and Dispersion. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [c7]Guiqin Zhao, Lianlei Shan, Weiqiang Wang:
End-to-End Remote Sensing Change Detection of Unregistered Bi-temporal Images for Natural Disasters. ICANN (2) 2023: 259-270 - [i2]Guiqin Zhao, Lianlei Shan, Weiqiang Wang:
End-to-end Remote Sensing Change Detection of Unregistered Bi-temporal Images for Natural Disasters. CoRR abs/2307.15128 (2023) - [i1]Weijia Wu, Yuzhong Zhao, Zhuang Li, Lianlei Shan, Hong Zhou, Mike Zheng Shou:
Continual Learning for Image Segmentation with Dynamic Query. CoRR abs/2311.17450 (2023) - 2022
- [j3]Lianlei Shan, Weiqiang Wang:
DenseNet-Based Land Cover Classification Network With Deep Fusion. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j2]Lianlei Shan, Weiqiang Wang, Ke Lv, Bin Luo:
Class-Incremental Learning for Semantic Segmentation in Aerial Imagery via Distillation in All Aspects. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [j1]Lianlei Shan, Weiqiang Wang, Ke Lv, Bin Luo:
Class-Incremental Semantic Segmentation of Aerial Images via Pixel-Level Feature Generation and Task-Wise Distillation. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [c6]Lianlei Shan, Weiqiang Wang:
MBNet: A Multi-Resolution Branch Network for Semantic Segmentation Of Ultra-High Resolution Images. ICASSP 2022: 2589-2593 - 2021
- [c5]Lianlei Shan, Xiaobin Li, Weiqiang Wang:
Decouple the High-Frequency and Low-Frequency Information of Images for Semantic Segmentation. ICASSP 2021: 1805-1809 - [c4]Xiaobin Li, Lianlei Shan, Weiqiang Wang:
Fusing Multitask Models by Recursive Least Squares. ICASSP 2021: 3640-3644 - 2020
- [c3]Lianlei Shan, Minglong Li, Xiaobin Li, Yang Bai, Ke Lv, Bin Luo, Si-Bao Chen, Weiqiang Wang:
UHRSNet: A Semantic Segmentation Network Specifically for Ultra-High-Resolution Images. ICPR 2020: 1460-1466 - [c2]Minglong Li, Lianlei Shan, Xiaobin Li, Yang Bai, Dengji Zhou, Weiqiang Wang, Ke Lv, Bin Luo, Si-Bao Chen:
Global-Local Attention Network for Semantic Segmentation in Aerial Images. ICPR 2020: 5704-5711 - [c1]Xiaobin Li, Lianlei Shan, Minglong Li, Weiqiang Wang:
Energy Minimum Regularization in Continual Learning. ICPR 2020: 6404-6409
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