Jie Ma

Orcid: 0000-0001-7957-4274

Affiliations:
  • Beijing Foreign Studies University, School of Information Science and Technology, China
  • Beijing Normal University, BNU, School of Artificial Intelligence, China (PhD 2020)


According to our database1, Jie Ma authored at least 12 papers between 2019 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
Dual-Diffusion: Dual Conditional Denoising Diffusion Probabilistic Models for Blind Super-Resolution Reconstruction in RSIs.
IEEE Geosci. Remote. Sens. Lett., 2023

2022
Remote Sensing Image Super-Resolution via Saliency-Guided Feedback GANs.
IEEE Trans. Geosci. Remote. Sens., 2022

2021
SC-PNN: Saliency Cascade Convolutional Neural Network for Pansharpening.
IEEE Trans. Geosci. Remote. Sens., 2021

Salient Object Detection Based on Progressively Supervised Learning for Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2021

Scribble-Supervised ROI Extraction Using Residual Dense Dilated Network for Remote Sensing Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Remote-Sensing Image Superresolution Based on Visual Saliency Analysis and Unequal Reconstruction Networks.
IEEE Trans. Geosci. Remote. Sens., 2020

ROI Extraction Based on Multiview Learning and Attention Mechanism for Unbalanced Remote Sensing Data Set.
IEEE Trans. Geosci. Remote. Sens., 2020

Hierarchical Weakly Supervised Learning for Residential Area Semantic Segmentation in Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2020

SD-GAN: Saliency-Discriminated GAN for Remote Sensing Image Superresolution.
IEEE Geosci. Remote. Sens. Lett., 2020

SD-FB-GAN: Saliency-Driven Feedback Gan for Remote Sensing Image Super-Resolution Reconstruction.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
Target heat-map network: An end-to-end deep network for target detection in remote sensing images.
Neurocomputing, 2019

A New Pansharpening Method Using Objectness Based Saliency Analysis and Saliency Guided Deep Residual Network.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019


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