Prof. Yan Piao Profile

Prof. Yan Piao

at Changchun Univ of Science and Technology

SPIE Involvement:

Author

Publications (26)

Proceedings Article | 11 October 2023 Paper

Gated axial transformer network for mass segmentation in mammographic

Yutong Zhong, Yan Piao

Proceedings Volume 12918, 129180L (2023) https://doi.org/10.1117/12.3009417

KEYWORDS: Image segmentation, Transformers, Mammography, Visual process modeling, Medical imaging, Data modeling, Education and training, Performance modeling, Breast, Breast cancer

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Proceedings Article | 11 November 2022 Paper

Gaussian stochastic pooling method for image classification tasks

Bailiang Huang, Yan Piao, Hao Zhang, Baolin Tan

Proceedings Volume 12301, 1230125 (2022) https://doi.org/10.1117/12.2644592

KEYWORDS: Stochastic processes, Convolutional neural networks, Image classification, Feature extraction, Visualization, Machine vision, Convolution

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Proceedings Article | 4 August 2022 Paper

Human action recognition based on attention mechanism and two-stream non-local graph convolution

Jianing Li, Yan Piao, Chenkai Ma

Proceedings Volume 12306, 123060Y (2022) https://doi.org/10.1117/12.2641472

KEYWORDS: Convolution, Data modeling, Motion models, 3D modeling, Cameras, Visual process modeling, Performance modeling, Neural networks, Machine vision, Lithium

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Proceedings Article | 4 August 2022 Paper

Driver behavior recognition based on attention module and bilinear fusion network

Chenkai Ma, Hao Wang, Jianing Li

Proceedings Volume 12306, 123061O (2022) https://doi.org/10.1117/12.2641412

KEYWORDS: RGB color model, Convolutional neural networks, Image fusion, 3D modeling, Data modeling, Feature extraction, Roads, Image enhancement, Water, Visual process modeling

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Proceedings Article | 4 August 2022 Paper

Research on semantic segmentation technology based on attention mechanism and residual learning

Tao Liu, Yan Piao, Denghui Qin

Proceedings Volume 12306, 1230620 (2022) https://doi.org/10.1117/12.2641285

KEYWORDS: Image segmentation, Feature extraction, Image processing, Image fusion, Neural networks, Convolution, Electronics engineering

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Proceedings Article | 4 August 2022 Paper

An improved MDNet target tracking algorithm

MengZhu Liu, Yan Piao

Proceedings Volume 12306, 1230614 (2022) https://doi.org/10.1117/12.2641284

KEYWORDS: Detection and tracking algorithms, Video, Feature extraction, Image processing, Neural networks, Evolutionary algorithms, Video processing, Machine vision, Convolution

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Proceedings Article | 4 August 2022 Paper

Human action recognition based on attention mechanism and two-stream non-local graph convolution

Jianing Li, Yan Piao, Chenkai Ma

Proceedings Volume 12306, 123060Y (2022) https://doi.org/10.1117/12.2641472

KEYWORDS: Convolution, Data modeling, Motion models, 3D modeling, Cameras, Visual process modeling, Performance modeling, Neural networks, Machine vision, Lithium

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Proceedings Article | 15 July 2022 Paper

A new method for gait recognition with 2D pose estimation

Han Yan, Yan Piao, Xiunan Li

Proceedings Volume 12258, 122580U (2022) https://doi.org/10.1117/12.2639153

KEYWORDS: Gait analysis, 3D modeling, Model-based design, Feature extraction, Performance modeling, Data modeling, Convolution, Neural networks, Network architectures

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Proceedings Article | 12 December 2018 Paper

Research on dispersion of light in integrated imaging LED display technology

Lijin Deng, Yan Piao, Yusan Yang, Taotao Wang

Proceedings Volume 10845, 1084508 (2018) https://doi.org/10.1117/12.2504326

KEYWORDS: LED displays, Light emitting diodes, 3D displays, 3D image processing, LCDs, Lens design, Imaging arrays, 3D acquisition, Light, Light sources

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Proceedings Article | 15 November 2017 Paper

Research on multi-source image fusion technology in haze environment

GuoDong Ma, Yan Piao, Bing Li

Proceedings Volume 10605, 1060531 (2017) https://doi.org/10.1117/12.2295089

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Proceedings Article | 15 November 2017 Paper

Low illumination color image enhancement based on improved Retinex

Shujing Liao, Yan Piao, Bing Li

Proceedings Volume 10605, 1060532 (2017) https://doi.org/10.1117/12.2295105

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