Jue Wang

Orcid: 0000-0002-0229-8424

Affiliations:
  • Beijing Institute of Technology, Beijing Key Laboratory of Embedded Real-time Information Processing Technology, China


According to our database1, Jue Wang authored at least 16 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Q-A2NN: Quantized All-Adder Neural Networks for Onboard Remote Sensing Scene Classification.
Remote. Sens., July, 2024

Semantic Change Detection Based on Supervised Contrastive Learning for High-Resolution Remote Sensing Imagery.
IEEE Trans. Geosci. Remote. Sens., 2024

Contrastive Scene Change Representation Learning for High-Resolution Remote Sensing Scene Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2024

Knowledge Distillation-Based Lightweight Change Detection in High-Resolution Remote Sensing Imagery for On-Board Processing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Scale-Frequency Dual-Modulation Method for Remote Sensing Image Continuous Super-Resolution.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Axial-Shift Feature Interaction and Prototype-Guided Penalty Constraint for Remote Sensing Change Detection.
IEEE Geosci. Remote. Sens. Lett., 2024

MapChange: Enhancing Semantic Change Detection with Temporal-Invariant Historical Maps Based on Deep Triplet Network.
Proceedings of the IGARSS 2024, 2024

2023
Multi-temporal urban semantic understanding based on GF-2 remote sensing imagery: from tri-temporal datasets to multi-task mapping.
Int. J. Digit. Earth, December, 2023

All Adder Neural Networks for On-Board Remote Sensing Scene Classification.
IEEE Trans. Geosci. Remote. Sens., 2023

Change Detection Based on Supervised Contrastive Learning for High-Resolution Remote Sensing Imagery.
IEEE Trans. Geosci. Remote. Sens., 2023

2022
Sphere Loss: Learning Discriminative Features for Scene Classification in a Hyperspherical Feature Space.
IEEE Trans. Geosci. Remote. Sens., 2022

Semantic Change Detection Based on a New Chinese Satellite Dataset and a Deep Conditional Random Field Framework.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2020
Marginal Center Loss for Deep Remote Sensing Image Scene Classification.
IEEE Geosci. Remote. Sens. Lett., 2020

2019
Detection of Multiclass Objects in Optical Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2019

Inshore Ship Change Detection Based on Spatial-Temporal Saliency.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
IORN: An Effective Remote Sensing Image Scene Classification Framework.
IEEE Geosci. Remote. Sens. Lett., 2018


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