Dr. Bin Zhu Profile

Dr. Bin Zhu

at National Univ of Defense Technology

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Publications (7)

Proceedings Article | 9 January 2024 Paper

Fast and high quality neural radiance fields reconstruction based on depth regularization

Bin Zhu, Gaoxiang He, Bo Xie, Yi Chen, Yaoxuan Zhu, Liuying Chen

Proceedings Volume 12969, 129692F (2024) https://doi.org/10.1117/12.3014528

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Proceedings Article | 4 April 2023 Paper

Infrared small target detection algorithm based on hetero-range feature fusion

Bin Shao, Hua Yang, Bin Zhu, Yi Chen, Rongping Zou

Proceedings Volume 12617, 1261715 (2023) https://doi.org/10.1117/12.2664216

KEYWORDS: Infrared radiation, Target detection, Infrared imaging, Infrared detectors, Detection and tracking algorithms, Image segmentation, Feature extraction, Transformers, Convolution, Image fusion

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The current convolution-based semantic segmentation network lacks long-range dependencies for infrared small target detection, which may lead to unsatisfactory detection results in the real scenario. To address the problem, this paper proposed a semantic segmentation network based on hetero-range feature fusion (HRFFnet). Compared with the common semantic segmentation networks, this network includes two feature extraction branches. One is a short-range extraction branch consisting of convolution operations, and the other is a long-range feature extraction branch consisting of transformer. The HRFFnet complements the local features extracted by the convolutional neural network by adding the transformer structure to the segmentation network to introduce the long-range information of image. And this paper also designed a hetero-range fusion module. This module is based on atrous spatial pyramid pooling and adds shortcut connection to fuse different ranges of features extracted from images, which can maintain resolution of image and improve ability of feature representation. The hetero-range fusion module fuses long-range dependencies and short-range information extracted by transformer and convolution to capture multi-scale contextual information about the scene in infrared images and facilitate the interchange of information between different features. To evaluate the HRFFnet, we compare the performance of our network against other high-performance convolution-based methods and transformer-based networks on the open SIRST dataset with different evaluation metrics. The proposed method achieves a better combined results in terms of intersection of Dice coefficient, pixel accuracy, intersection over union and receiver operating characteristic curve. The experiments and results show that the network has some superiority: one is that it can break through the limitation of range of extracting features when only using convolutional network or transformer-based network; the other one is that this network can perform better with good robustness against real and complex scenarios. So, the proposed algorithm has broad application prospects in border patrol and urban security fields.

Proceedings Article | 20 December 2019 Paper

Fast detection and recognition method of UAV in sky background

Qi Ma, Bin Zhu, Zhengdong Cheng, Yang Zhang

Proceedings Volume 11209, 1120907 (2019) https://doi.org/10.1117/12.2542273

KEYWORDS: Unmanned aerial vehicles, Infrared imaging, Image registration, Target detection, Convolution, Feature extraction

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Proceedings Article | 8 February 2019 Paper

Evaluation of real-time object detection model based on small targets

Ma Qi, Bin Zhu, Haidi Wang , Bo Xie, Fan Xiang, Zhengdong Cheng

Proceedings Volume 10843, 108430M (2019) https://doi.org/10.1117/12.2505930

KEYWORDS: Target detection, Image processing, Information visualization, Visualization

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Proceedings Article | 30 January 2019 Paper

Analysis of influence of mechanical vibration on ghost imaging

Yi Chen, Zheng-dong Cheng , Xiang Fan , Yu-bao Cheng , Bin Zhu

Proceedings Volume 10841, 108410U (2019) https://doi.org/10.1117/12.2507522

KEYWORDS: Modulation transfer functions, Imaging systems, Digital micromirror devices, Modulation, Compressed sensing, Diffusion, Target detection

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SPIE Journal Paper | 28 July 2018

Ghost imaging with N-order speckle light

Yi Chen, Zhengdong Cheng, Yubao Cheng, Bin Zhu, Xiang Zhai

OE, Vol. 57, Issue 07, 073111, (July 2018) https://doi.org/10.1117/12.10.1117/1.OE.57.7.073111

KEYWORDS: Speckle pattern, Speckle, Digital micromirror devices, Speckle imaging, Imaging systems, Sensors, Modulation, Light sources, Image quality, Reconstruction algorithms

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Proceedings Article | 26 July 2018 Paper

Target regression tracking based on convolutional neural network

Hongwei Zhang, Xiang Fan, Bin Zhu, Bo Xie, Qi Ma

Proceedings Volume 10828, 108281G (2018) https://doi.org/10.1117/12.2501844

KEYWORDS: Detection and tracking algorithms, Convolutional neural networks, Optical tracking, Unmanned aerial vehicles

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Showing 5 of 7 publications

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