Jingzhou Chen
Orcid: 0000-0001-7297-4945
According to our database1,
Jingzhou Chen
authored at least 13 papers
between 2018 and 2024.
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Bibliography
2024
Mask-Guided Local-Global Attentive Network for Change Detection in Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
2023
Semantic guided level-category hybrid prediction network for hierarchical image classification.
Int. J. Wavelets Multiresolution Inf. Process., 2023
2022
Incremental Detection of Remote Sensing Objects With Feature Pyramid and Knowledge Distillation.
IEEE Trans. Geosci. Remote. Sens., 2022
Hierarchical Multilabel Ship Classification in Remote Sensing Images Using Label Relation Graphs.
IEEE Trans. Geosci. Remote. Sens., 2022
Label Relation Graphs Enhanced Hierarchical Residual Network for Hierarchical Multi-Granularity Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Investigating the Performance of Gesture-Based Input for Mid-Air Text Entry in a Virtual Environment: A Comparison of Hand-Up versus Hand-Down Postures.
Sensors, 2021
Graph Regularized Autoencoder Based Feature Extraction for Hyperspectral Image Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Hierarchical Multi-Label Ship Recognition in Remote Sensing Images Using Label Relation Graphs.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Multi-Label Remote Sensing Image Classification with Deformable Convolutions and Graph Neural Networks.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
Deep Neural Network Based Hyperspectral Pixel Classification With Factorized Spectral-Spatial Feature Representation.
IEEE Access, 2019
2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018