Jie Chen
Orcid: 0000-0002-9605-4331Affiliations:
- Chinese Academy of Sciences, Hefei Institute of Physical Science, China
- University of Science and Technology of China, Graduate School of Computer Applied Technology, Hefei, China
According to our database1,
Jie Chen
authored at least 25 papers
between 2018 and 2024.
Collaborative distances:
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Bibliography
2024
Unsupervised Domain-Adaptive SAR Ship Detection Based on Cross-Domain Feature Interaction and Data Contribution Balance.
Remote. Sens., January, 2024
SARGap: A Full-Link General Decoupling Automatic Pruning Algorithm for Deep Learning-Based SAR Target Detectors.
IEEE Trans. Geosci. Remote. Sens., 2024
2023
Anomaly-Based Ship Detection Using SP Feature-Space Learning with False-Alarm Control in Sea-Surface SAR Images.
Remote. Sens., July, 2023
FPT: Fine-Grained Detection of Driver Distraction Based on the Feature Pyramid Vision Transformer.
IEEE Trans. Intell. Transp. Syst., February, 2023
An Anchor-Free Detection Algorithm for SAR Ship Targets with Deep Saliency Representation.
Remote. Sens., January, 2023
HRLE-SARDet: A Lightweight SAR Target Detection Algorithm Based on Hybrid Representation Learning Enhancement.
IEEE Trans. Geosci. Remote. Sens., 2023
Orientation Detector for Ship Targets in SAR Images Based on Semantic Flow Feature Alignment and Gaussian Label Matching.
IEEE Trans. Geosci. Remote. Sens., 2023
SARNas: A Hardware-Aware SAR Target Detection Algorithm via Multiobjective Neural Architecture Search.
IEEE Trans. Geosci. Remote. Sens., 2023
SARNas: A Hardware-Aware SAR Target Detection Algorithm via Multi-Objective Neural Architecture Search.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
A New Unsupervised Deep Learning Algorithm for Fine-Grained Detection of Driver Distraction.
IEEE Trans. Intell. Transp. Syst., 2022
FSODS: A Lightweight Metalearning Method for Few-Shot Object Detection on SAR Images.
IEEE Trans. Geosci. Remote. Sens., 2022
AFSar: An Anchor-Free SAR Target Detection Algorithm Based on Multiscale Enhancement Representation Learning.
IEEE Trans. Geosci. Remote. Sens., 2022
Feasibility Study of Wood-Leaf Separation Based on Hyperspectral LiDAR Technology in Indoor Circumstances.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
CRTransSar: A Visual Transformer Based on Contextual Joint Representation Learning for SAR Ship Detection.
Remote. Sens., 2022
Remote. Sens., 2022
2021
IEEE Trans. Intell. Transp. Syst., 2021
Parallel Ensemble Deep Learning for Real-Time Remote Sensing Video Multi-Target Detection.
Remote. Sens., 2021
Lightweight Channel Attention and Multiscale Feature Fusion Discrimination for Remote Sensing Scene Classification.
IEEE Access, 2021
The Recognition Framework of Deep Kernel Learning for Enclosed Remote Sensing Objects.
IEEE Access, 2021
2020
Feasibility Study on Hyperspectral LiDAR for Ancient Huizhou-Style Architecture Preservation.
Remote. Sens., 2020
2019
Driving Safety Risk Prediction Using Cost-Sensitive With Nonnegativity-Constrained Autoencoders Based on Imbalanced Naturalistic Driving Data.
IEEE Trans. Intell. Transp. Syst., 2019
A Deep Learning Framework for Driving Behavior Identification on In-Vehicle CAN-BUS Sensor Data.
Sensors, 2019
Mutual information-based dropout: Learning deep relevant feature representation architectures.
Neurocomputing, 2019
Driver identification based on hidden feature extraction by using adaptive nonnegativity-constrained autoencoder.
Appl. Soft Comput., 2019
2018
Cross-covariance regularized autoencoders for nonredundant sparse feature representation.
Neurocomputing, 2018