Lixin Xu

Orcid: 0000-0001-8215-6663

Affiliations:

Beijing Institute of Technology, School of Mechatronical Engineering, State Key Laboratory of Electromechanical Dynamic Control, China
Harbin Institute of Technology, China (PhD)

According to our database¹, Lixin Xu authored at least 20 papers between 2018 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2025

Visible-Infrared Person Re-Identification With Real-World Label Noise.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., May, 2025

Cognition-Driven Structural Prior for Instance-Dependent Label Transition Matrix Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., February, 2025

DBDB: de-bimodal defocus blur in joint infrared-visible imaging.

[BibT_eX]

[DOI]

Vis. Intell., 2025

FasterSal: Robust and Real-Time Single-Stream Architecture for RGB-D Salient Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2025

A Benchmark and Frequency Compression Method for Infrared Few-Shot Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2025

Detail-Aware Network for Infrared Image Enhancement.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2025

Dif-CDFusion: A Diffusion-Based Common-Differential Network for Infrared and Visible Image Fusion.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2025

Two-stage sand-dust image enhancement method based on concentration scaling and domain adaptation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2025

2024

Differential Feature Awareness Network Within Antagonistic Learning for Infrared-Visible Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., August, 2024

Part-Aware Correlation Networks for Few-Shot Learning.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

U<sup>2</sup>D<sup>2</sup>Net: Unsupervised Unified Image Dehazing and Denoising Network for Single Hazy Image Enhancement.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

2023

Few-Shot Infrared Image Classification with Partial Concept Feature.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

CTL-I: Infrared Few-Shot Learning via Omnidirectional Compatible Class-Incremental.

[BibT_eX]

[DOI]

Proceedings of the Big Data Technologies and Applications, 2023

2022

Deep-IRTarget: An Automatic Target Detector in Infrared Imagery Using Dual-Domain Feature Extraction and Allocation.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2022

Graph-based few-shot learning with transformed feature propagation and optimal class allocation.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Restoration of Single Sand-Dust Image Based on Style Transformation and Unsupervised Adversarial Learning.

[BibT_eX]

[DOI]

IEEE Access, 2022

2020

Infrared Target Detection Using Intensity Saliency And Self-Attention.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Facial Component-Landmark Detection With Weakly-Supervised LR-CNN.

[BibT_eX]

[DOI]

IEEE Access, 2019

Synthetic IR Image Refinement Using Adversarial Learning With Bidirectional Mappings.

[BibT_eX]

[DOI]

IEEE Access, 2019

2018

Design and Fabrication of a Miniaturized GMI Magnetic Sensor Based on Amorphous Wire by MEMS Technology.

[BibT_eX]

[DOI]

Sensors, 2018

Lixin Xu

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