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Zhoufeng Liu
at Zhongyuan Univ of Technology
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Publications (5)
SPIE Journal Paper | 18 November 2022
AFSPNet: an adaptive feature selection pyramid network for efficient object detection in remote sensing images
Yan Dong, Yundong Liu, Guangshuai Gao, Haonan Kang, Chunlei Li, Zhoufeng Liu
JARS, Vol. 16, Issue 04, 044512, (November 2022) https://doi.org/10.1117/12.10.1117/1.JRS.16.044512
KEYWORDS: Object detection, Feature extraction, Convolution, Feature selection, Target detection, Remote sensing, Sensors, Visualization, Education and training, Deformation
SPIE Journal Paper | 12 November 2022
Context-aware cross-level attention fusion network for infrared small target detection
JARS, Vol. 16, Issue 04, 046506, (November 2022) https://doi.org/10.1117/12.10.1117/1.JRS.16.046506
KEYWORDS: Target detection, Infrared radiation, Infrared detectors, Infrared imaging, Convolution, Spatial filters, Thermal modeling, Image fusion, Detection and tracking algorithms, Atomic force microscopy
Proceedings Article | 10 April 2018 Paper
Fabric defect detection based on faster R-CNN
Proceedings Volume 10615, 106150A (2018) https://doi.org/10.1117/12.2303713
KEYWORDS: Defect detection, Databases, Convolution, Detection and tracking algorithms, Convolutional neural networks, Image filtering, Lithium, Machine vision, Statistical analysis, Model-based design
Proceedings Article | 10 April 2018 Paper
Fabric defect detection based on visual saliency using deep feature and low-rank recovery
Zhoufeng Liu, Baorui Wang, Chunlei Li, Bicao Li, Yan Dong
Proceedings Volume 10615, 1061507 (2018) https://doi.org/10.1117/12.2303816
KEYWORDS: Defect detection, Feature extraction, Convolution, Visualization, Neural networks, Image segmentation, Detection and tracking algorithms, Image restoration, Image filtering, Image processing algorithms and systems
Proceedings Article | 29 August 2016 Paper
Fabric defect detection based on wavelet transform and background estimation
Zhoufeng Liu, Qiuli Liu, Chunlei Li, Yan Dong
Proceedings Volume 10033, 100333U (2016) https://doi.org/10.1117/12.2244852
KEYWORDS: Detection and tracking algorithms, Defect detection, Wavelet transforms, Visualization, Image segmentation, Visual process modeling, Image fusion, Wavelets, Aluminum, Machine vision
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