Tianjiao Zeng

Orcid: 0000-0002-6780-6100

According to our database1, Tianjiao Zeng authored at least 27 papers between 2017 and 2024.

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

Timeline

Legend:

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Links

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Bibliography

2024
A Novel Multimodal Fusion Framework Based on Point Cloud Registration for Near-Field 3D SAR Perception.
Remote. Sens., March, 2024

GNN-JFL: Graph Neural Network for Video SAR Shadow Tracking With Joint Motion-Appearance Feature Learning.
IEEE Trans. Geosci. Remote. Sens., 2024

CFAR-DP-FW: A CFAR-Guided Dual-Polarization Fusion Framework for Large-Scene SAR Ship Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Multiple Latent Space Mapping for Compressed Dark Image Enhancement.
CoRR, 2024

2023
Scale in Scale for SAR Ship Instance Segmentation.
Remote. Sens., February, 2023

Synthetic Aperture Radar (SAR) Meets Deep Learning.
Remote. Sens., January, 2023

A Target-Oriented Bayesian Compressive Sensing Imaging Method With Region-Adaptive Extractor for mmW Automotive Radar.
IEEE Trans. Geosci. Remote. Sens., 2023

Shadow-Enhanced Self-Attention and Anchor-Adaptive Network for Video SAR Moving Target Tracking.
IEEE Trans. Geosci. Remote. Sens., 2023

Near-Field SAR Image Restoration Framework Via Deep Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Solving 3d radar imaging inverse problems With a multi-cognition task-oriented framework.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Recent Progress in Sparsity-Regularization Based Imaging Method for Near-Field 3D SAR.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Group-Wise Shuffle Attention R-CNN for Ship Detection in Dual-Polarization SAR Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

A Fast Super-Resolution Imaging Method via Subspace Detection and Near-Field Phase Compensation for mmW Automotive Radar.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Near-Field 3d Sar Interpretation Based on Lidar and Sar Calibration.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

An Iterative Multidimensional Feature Reconstruction Network for Tomographic SAR Imaging.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Interferometric Phase Restoration for Non-Common Band Imaging Via a Physics-Aware Spectrum Fusion Network.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Tomographic Imaging with Enhanced Spatial Structures Via a Physics-Aware 3D Reconstruction Network.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
A Group-Wise Feature Enhancement-and-Fusion Network with Dual-Polarization Feature Enrichment for SAR Ship Detection.
Remote. Sens., 2022

RBFA-Net: A Rotated Balanced Feature-Aligned Network for Rotated SAR Ship Detection and Classification.
Remote. Sens., 2022

A Model-data-driven Network Embedding Multidimensional Features for Tomographic SAR Imaging.
CoRR, 2022

Near-filed SAR Image Restoration with Deep Learning Inverse Technique: A Preliminary Study.
CoRR, 2022

Solving 3D Radar Imaging Inverse Problems with a Multi-cognition Task-oriented Framework.
CoRR, 2022

2021
Robust Reconstruction With Deep Learning to Handle Model Mismatch in Lensless Imaging.
IEEE Trans. Computational Imaging, 2021

SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis.
Remote. Sens., 2021

2020
LightGAN: A Deep Generative Model for Light Field Reconstruction.
IEEE Access, 2020

2019
Spatial and Angular Reconstruction of Light Field Based on Deep Generative Networks.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2017
Cortical activity changes as related to oral irritation-an fNIRS study.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017


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