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bo du
bo du
School of Computer Science, Wuhan University
Verified email at whu.edu.cn - Homepage
Title
Cited by
Cited by
Year
Deep learning for remote sensing data: A technical tutorial on the state of the art
L Zhang, L Zhang, B Du
IEEE Geoscience and remote sensing magazine 4 (2), 22-40, 2016
27252016
Heterogeneous federated learning: State-of-the-art and research challenges
M Ye, X Fang, B Du, PC Yuen, D Tao
ACM Computing Surveys 56 (3), 1-44, 2023
11192023
Recurrent feature reasoning for image inpainting
J Li, N Wang, L Zhang, B Du, D Tao
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2020
6932020
Weighted feature fusion of convolutional neural network and graph attention network for hyperspectral image classification
Y Dong, Q Liu, B Du, L Zhang
IEEE transactions on image processing 31, 1559-1572, 2022
6922022
Saliency-guided unsupervised feature learning for scene classification
F Zhang, B Du, L Zhang
IEEE transactions on Geoscience and Remote Sensing 53 (4), 2175-2184, 2014
6762014
Multiscale dynamic graph convolutional network for hyperspectral image classification
S Wan, C Gong, P Zhong, B Du, L Zhang, J Yang
IEEE Transactions on Geoscience and Remote Sensing 58 (5), 3162-3177, 2019
6212019
A low-rank and sparse matrix decomposition-based Mahalanobis distance method for hyperspectral anomaly detection
Y Zhang, B Du, L Zhang, S Wang
IEEE Transactions on Geoscience and Remote Sensing 54 (3), 1376-1389, 2015
5692015
Channel augmented joint learning for visible-infrared recognition
M Ye, W Ruan, B Du, MZ Shou
2021 IEEE/CVF International Conference on Computer Vision (ICCV), 13547-13556, 2021
5432021
Advancing plain vision transformer toward remote sensing foundation model
D Wang, Q Zhang, Y Xu, J Zhang, B Du, D Tao, L Zhang
IEEE transactions on geoscience and remote sensing 61, 1-15, 2022
5262022
Learn from others and be yourself in heterogeneous federated learning
W Huang, M Ye, B Du
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2022
5162022
Scene classification via a gradient boosting random convolutional network framework
F Zhang, B Du, L Zhang
IEEE Transactions on geoscience and remote sensing 54 (3), 1793-1802, 2015
5072015
Can chatgpt understand too? a comparative study on chatgpt and fine-tuned bert
Q Zhong, L Ding, J Liu, B Du, D Tao
arXiv preprint arXiv:2302.10198, 2023
4962023
Stacked convolutional denoising auto-encoders for feature representation
B Du, W Xiong, J Wu, L Zhang, L Zhang, D Tao
IEEE transactions on cybernetics 47 (4), 1017-1027, 2016
4922016
Federated learning for generalization, robustness, fairness: A survey and benchmark
W Huang, M Ye, Z Shi, G Wan, H Li, B Du, Q Yang
IEEE Transactions on Pattern Analysis and Machine Intelligence 46 (12), 9387 …, 2024
4582024
Unsupervised domain adaptive re-identification: Theory and practice
L Song, C Wang, L Zhang, B Du, Q Zhang, C Huang, X Wang
Pattern recognition 102, 107173, 2020
4382020
Asymmetric siamese networks for semantic change detection in aerial images
K Yang, GS Xia, Z Liu, B Du, W Yang, M Pelillo, L Zhang
IEEE Transactions on Geoscience and Remote Sensing 60, 1-18, 2021
4262021
Slow feature analysis for change detection in multispectral imagery
C Wu, B Du, L Zhang
IEEE Transactions on Geoscience and Remote Sensing 52 (5), 2858-2874, 2013
4222013
Change detection in multisource VHR images via deep Siamese convolutional multiple-layers recurrent neural network
H Chen, C Wu, B Du, L Zhang, L Wang
IEEE Transactions on Geoscience and Remote Sensing 58 (4), 2848-2864, 2019
4202019
Samrs: Scaling-up remote sensing segmentation dataset with segment anything model
D Wang, J Zhang, B Du, M Xu, L Liu, D Tao, L Zhang
Advances in Neural Information Processing Systems 36, 8815-8827, 2023
4172023
Learning affinity from attention: End-to-end weakly-supervised semantic segmentation with transformers
L Ru, Y Zhan, B Yu, B Du
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2022
4172022
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Articles 1–20