Lianlei Shan

According to our database, Lianlei Shan authored at least 17 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Continual Learning for Image Segmentation With Dynamic Query.

Weijia Wu, Yuzhong Zhao, Zhuang Li, Lianlei Shan, Hong Zhou, Mike Zheng Shou

IEEE Trans. Circuits Syst. Video Technol., June, 2024

Organizing Background to Explore Latent Classes for Incremental Few-shot Semantic Segmentation.

Lianlei Shan, Wenzhang Zhou, Wei Li, Xingyu Ding

CoRR, 2024

Lifelong Learning and Selective Forgetting via Contrastive Strategy.

Lianlei Shan, Wenzhang Zhou, Wei Li, Xingyu Ding

CoRR, 2024

Edge-guided and Class-balanced Active Learning for Semantic Segmentation of Aerial Images.

Lianlei Shan, Weiqiang Wang, Ke Lv, Bin Luo

CoRR, 2024

The Binary Quantized Neural Network for Dense Prediction via Specially Designed Upsampling and Attention.

Xingyu Ding, Lianlei Shan, Guiqin Zhao, Meiqi Wu, Wenzhang Zhou, Wei Li

CoRR, 2024

2023

Boosting Semantic Segmentation of Aerial Images via Decoupled and Multilevel Compaction and Dispersion.

Lianlei Shan, Weiqiang Wang, Ke Lv, Bin Luo

IEEE Trans. Geosci. Remote. Sens., 2023

A Data-Related Patch Proposal for Semantic Segmentation of Aerial Images.

Lianlei Shan, Guiqin Zhao, Jun Xie, Peirui Cheng, Xiaobin Li, Zhepeng Wang

IEEE Geosci. Remote. Sens. Lett., 2023

End-to-end Remote Sensing Change Detection of Unregistered Bi-temporal Images for Natural Disasters.

Guiqin Zhao, Lianlei Shan, Weiqiang Wang

CoRR, 2023

2022

Class-Incremental Semantic Segmentation of Aerial Images via Pixel-Level Feature Generation and Task-Wise Distillation.

Lianlei Shan, Weiqiang Wang, Ke Lv, Bin Luo

IEEE Trans. Geosci. Remote. Sens., 2022

Class-Incremental Learning for Semantic Segmentation in Aerial Imagery via Distillation in All Aspects.

Lianlei Shan, Weiqiang Wang, Ke Lv, Bin Luo

IEEE Trans. Geosci. Remote. Sens., 2022

DenseNet-Based Land Cover Classification Network With Deep Fusion.

Lianlei Shan, Weiqiang Wang

IEEE Geosci. Remote. Sens. Lett., 2022

MBNet: A Multi-Resolution Branch Network for Semantic Segmentation Of Ultra-High Resolution Images.

Lianlei Shan, Weiqiang Wang

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Decouple the High-Frequency and Low-Frequency Information of Images for Semantic Segmentation.

Lianlei Shan, Xiaobin Li, Weiqiang Wang

Proceedings of the IEEE International Conference on Acoustics, 2021

Fusing Multitask Models by Recursive Least Squares.

Xiaobin Li, Lianlei Shan, Weiqiang Wang

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

UHRSNet: A Semantic Segmentation Network Specifically for Ultra-High-Resolution Images.

Lianlei Shan, Minglong Li, Xiaobin Li, Yang Bai, Ke Lv, Bin Luo, Si-Bao Chen, Weiqiang Wang

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Global-Local Attention Network for Semantic Segmentation in Aerial Images.

Minglong Li, Lianlei Shan, Xiaobin Li, Yang Bai, Dengji Zhou, Weiqiang Wang, Ke Lv, Bin Luo, Si-Bao Chen

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Energy Minimum Regularization in Continual Learning.

Xiaobin Li, Lianlei Shan, Minglong Li, Weiqiang Wang

Proceedings of the 25th International Conference on Pattern Recognition, 2020