Search Results - "Liu, Mingcong"

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  1. 1

    Energy Consumption Analysis and Optimization of the Deep-Sea Self-Sustaining Profile Buoy by Liu, Mingcong, Yang, Shaobo, Li, Hongyu, Xu, Jiayi, Li, Xingfei

    Published in Energies (Basel) (17-06-2019)
    “…In order to reduce the energy consumption of deep-sea self-sustaining profile buoy (DSPB) and extend its running time, a stage quantitative oil draining…”
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    Journal Article
  2. 2

    Contrast Enhancement Algorithm for Outdoor Infrared Images Based on Local Gradient-Grayscale Statistical Feature by Li, Shuo, Jin, Weiqi, Wang, Xia, Li, Li, Liu, Mingcong

    Published in IEEE access (2018)
    “…Contrast enhancement for infrared images is important in various night vision applications. However, existing local contrast enhancement algorithms often…”
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    Journal Article
  3. 3

    Fusion algorithm based on grayscale-gradient estimation for infrared images with multiple integration times by Li, Shuo, Jin, Weiqi, Li, Li, Liu, Mingcong, Yang, Jianguo

    Published in Infrared physics & technology (01-03-2020)
    “…•A fusion algorithm based on grayscale-gradient estimation for infrared images with multiple integration times is proposed.•An objective grayscale image and an…”
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    Journal Article
  4. 4

    Infrared HDR image fusion based on response model of cooled IRFPA under variable integration time by Liu, Mingcong, Li, Shuo, Li, Li, Jin, Weiqi, Chen, Guo

    Published in Infrared physics & technology (01-11-2018)
    “…•An infrared HDR image fusion method based on an improved response model is proposed.•Two influencing factors are introduced to derive the improved response…”
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    Journal Article
  5. 5

    Image contrast enhancement method based on display and human visual system characteristics by Chen, Guo, Li, Li, Jin, Weiqi, Liu, Mingcong, Shi, Feng

    “…At the present time, there are many image contrast enhancement methods where the main considerations are detail enhancement, noise suppression, and high…”
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    Journal Article
  6. 6

    Technology of Information Collection and Analysis about Steering Operation Behavior of Inland Waterway Sailing Ship by He, Wei, Xiong, Jie, Liu, Mingcong, Chu, Xiumin, Liu, Chenguang, Shi, Lei, Wang, Le

    Published in Journal of coastal research (01-12-2015)
    “…He, H.; Xiong, J.; Liu, M.; Chu, X.; Liu, C.; Shi, L., and Wang, L., 2015. Technology of information collection and analysis about steering operation behavior…”
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    Journal Article
  7. 7

    Technology of Information Collection and Analysis about Steering Operation Behavior of Inland Waterway Sailing Ship by He, Wei, Xiong, Jie, Liu, Mingcong, Chu, Xiumin, Liu, Chenguang, Shi, Lei, Wang, Le

    Published in Journal of coastal research (01-01-2015)
    “…Steering operation behavior is an important factor which affects the safety of ship navigation. This article used suitable method of information acquisition…”
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    Journal Article
  8. 8

    RealCustom: Narrowing Real Text Word for Real-Time Open-Domain Text-to-Image Customization by Huang, Mengqi, Mao, Zhendong, Liu, Mingcong, He, Qian, Zhang, Yongdong

    “…Text-to-image customization, which aims to synthesize text-driven images for the given subjects, has recently rev-olutionized content creation. Existing works…”
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    Conference Proceeding
  9. 9

    RealCustom: Narrowing Real Text Word for Real-Time Open-Domain Text-to-Image Customization by Huang, Mengqi, Mao, Zhendong, Liu, Mingcong, He, Qian, Zhang, Yongdong

    Published 01-03-2024
    “…Text-to-image customization, which aims to synthesize text-driven images for the given subjects, has recently revolutionized content creation. Existing works…”
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    Journal Article
  10. 10

    RealCustom++: Representing Images as Real-Word for Real-Time Customization by Mao, Zhendong, Huang, Mengqi, Ding, Fei, Liu, Mingcong, He, Qian, Chang, Xiaojun, Zhang, Yongdong

    Published 19-08-2024
    “…Text-to-image customization, which takes given texts and images depicting given subjects as inputs, aims to synthesize new images that align with both text…”
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    Journal Article
  11. 11

    BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation by Liu, Mingcong, Li, Qiang, Qin, Zekui, Zhang, Guoxin, Wan, Pengfei, Zheng, Wen

    Published 22-10-2021
    “…Generative Adversarial Networks (GANs) have made a dramatic leap in high-fidelity image synthesis and stylized face generation. Recently, a layer-swapping…”
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    Journal Article