Kang Liu

Orcid: 0000-0002-2621-925X

Affiliations:
  • Chinese Academy of Sciences, Xi'an Institute of Optics and Precision Mechanics, OPTIMAL, China


According to our database1, Kang Liu authored at least 15 papers between 2015 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Progressive multimodal synergetic fusion network for salient object detection in urban perception.
Expert Syst. Appl., 2026

Vision and acoustic emission multi-modal learning for aircraft crack monitoring.
Adv. Eng. Informatics, 2026

2025
FLDet: Faster and Lighter Aerial Object Detector.
IEEE Trans. Circuits Syst. Video Technol., May, 2025

Vision and Acoustic Emission Dataset.
Dataset, April, 2025

2024
ViT Spatio-Temporal Feature Fusion for Aerial Object Tracking.
IEEE Trans. Circuits Syst. Video Technol., August, 2024

2023
Meta++ Network for Few-Shot Aerospace Crack Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Eagle-Eye-Inspired Attention for Object Detection in Remote Sensing.
Remote. Sens., 2022

Locality Constrained Low Rank Representation and Automatic Dictionary Learning for Hyperspectral Anomaly Detection.
Remote. Sens., 2022

Bio-inspired Multi-Sensory Pathway Network for Change Detection.
Cogn. Comput., 2022

2021
Tilt Correction Toward Building Detection of Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Background Purification Framework With Extended Morphological Attribute Profile for Hyperspectral Anomaly Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Density saliency for clustered building detection and population capacity estimation.
Neurocomputing, 2021

2018
Patch Alignment Manifold Matting.
IEEE Trans. Neural Networks Learn. Syst., 2018

Superpixel-Based Foreground Extraction With Fast Adaptive Trimaps.
IEEE Trans. Cybern., 2018

2015
Superpixel fats for fast foreground extraction.
Proceedings of the IEEE China Summit and International Conference on Signal and Information Processing, 2015


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