Search Results - "Yao, Mingde"

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  1. 1

    Cross-resistance, inheritance and biochemical mechanisms of imidacloprid resistance in B-biotype Bemisia tabaci by Wang, Zhenyu, Yao, Mingde, Wu, Yidong

    Published in Pest management science (01-11-2009)
    “…BACKGROUND: The B‐type Bemisia tabaci (Gennadius) has become established in many regions in China, and neonicotinoids are extensively used to control this…”
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    Journal Article
  2. 2

    Spectral-depth imaging with deep learning based reconstruction by Yao, Mingde, Xiong, Zhiwei, Wang, Lizhi, Liu, Dong, Chen, Xuejin

    Published in Optics express (23-12-2019)
    “…We develop a compact imaging system to enable simultaneous acquisition of the spectral and depth information in real time. Our system consists of a spectral…”
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    Journal Article
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    Bidirectional Translation Between UHD-HDR and HD-SDR Videos by Yao, Mingde, He, Dongliang, Li, Xin, Pan, Zhihong, Xiong, Zhiwei

    Published in IEEE transactions on multimedia (01-01-2023)
    “…With the popularization of ultra high definition (UHD) high dynamic range (HDR) displays, recent works focus on upgrading high definition (HD) standard dynamic…”
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    Journal Article
  5. 5

    Neural Degradation Representation Learning for All-in-One Image Restoration by Yao, Mingde, Xu, Ruikang, Guan, Yuanshen, Huang, Jie, Xiong, Zhiwei

    “…Existing methods have demonstrated effective performance on a single degradation type. In practical applications, however, the degradation is often unknown,…”
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    Journal Article
  6. 6

    Towards Interactive Self-Supervised Denoising by Yao, Mingde, He, Dongliang, Li, Xin, Li, Fu, Xiong, Zhiwei

    “…Self-supervised denoising frameworks have recently been proposed to learn denoising models without noisy-clean image pairs, showing great potential in various…”
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    Journal Article
  7. 7

    Ingredient-oriented Multi-Degradation Learning for Image Restoration by Zhang, Jinghao, Huang, Jie, Yao, Mingde, Yang, Zizheng, Yu, Hu, Zhou, Man, Zhao, Feng

    “…Learning to leverage the relationship among diverse image restoration tasks is quite beneficial for unraveling the intrinsicingredients behind the degradation…”
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    Conference Proceeding
  8. 8

    Toward Interactive Self-Supervised Denoising by Yao, Mingde, He, Dongliang, Li, Xin, Li, Fu, Xiong, Zhiwei

    “…Self-supervised denoising frameworks have recently been proposed to learn denoising models without noisy-clean image pairs, showing great potential in various…”
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    Journal Article
  9. 9

    Zero-Shot Dual-Lens Super-Resolution by Xu, Ruikang, Yao, Mingde, Xiong, Zhiwei

    “…The asymmetric dual-lens configuration is commonly available on mobile devices nowadays, which naturally stores a pair of wide-angle and telephoto images of…”
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    Conference Proceeding
  10. 10

    An improved FastSLAM2.0 algorithm based on ant colony optimization by Wen Shiguang, Yao Mingde, Wu Chengdong, Li Jun

    “…Montemerlo et al. proposed an algorithm called FastSLAM2.0 as an efficient and robust solution to the simultaneous localization and mapping problem. We…”
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    Conference Proceeding
  11. 11

    Learning Piecewise Planar Representation for RGB Guided Depth Super-Resolution by Xu, Ruikang, Yao, Mingde, Guan, Yuanshen, Xiong, Zhiwei

    “…RGB guided depth super-resolution (GDSR) aims to reconstruct high-resolution (HR) depth images from low-resolution ones using HR RGB images as guidance,…”
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    Journal Article
  12. 12

    Towards Bidirectional Arbitrary Image Rescaling: Joint Optimization and Cycle Idempotence by Pan, Zhihong, Li, Baopu, He, Dongliang, Yao, Mingde, Wu, Wenhao, Lin, Tianwei, Li, Xin, Ding, Errui

    “…Deep learning based single image super-resolution models have been widely studied and superb results are achieved in upscaling low-resolution images with fixed…”
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    Conference Proceeding
  13. 13

    Neural Degradation Representation Learning for All-In-One Image Restoration by Yao, Mingde, Xu, Ruikang, Guan, Yuanshen, Huang, Jie, Xiong, Zhiwei

    Published 19-10-2023
    “…Existing methods have demonstrated effective performance on a single degradation type. In practical applications, however, the degradation is often unknown,…”
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    Journal Article
  14. 14

    Mutual-Guided Dynamic Network for Image Fusion by Guan, Yuanshen, Xu, Ruikang, Yao, Mingde, Wang, Lizhi, Xiong, Zhiwei

    Published 23-08-2023
    “…Image fusion aims to generate a high-quality image from multiple images captured under varying conditions. The key problem of this task is to preserve…”
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    Journal Article
  15. 15

    Diffusion-Promoted HDR Video Reconstruction by Guan, Yuanshen, Xu, Ruikang, Yao, Mingde, Gao, Ruisheng, Wang, Lizhi, Xiong, Zhiwei

    Published 12-06-2024
    “…High dynamic range (HDR) video reconstruction aims to generate HDR videos from low dynamic range (LDR) frames captured with alternating exposures. Most…”
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    Journal Article
  16. 16

    Uni-ISP: Unifying the Learning of ISPs from Multiple Cameras by Li, Lingen, Yao, Mingde, Meng, Xingyu, Yu, Muquan, Xue, Tianfan, Gu, Jinwei

    Published 03-06-2024
    “…Modern end-to-end image signal processors (ISPs) can learn complex mappings from RAW/XYZ data to sRGB (or inverse), opening new possibilities in image…”
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    Journal Article
  17. 17

    Continuous Spectral Reconstruction from RGB Images via Implicit Neural Representation by Xu, Ruikang, Yao, Mingde, Chen, Chang, Wang, Lizhi, Xiong, Zhiwei

    Published 24-12-2021
    “…Existing methods for spectral reconstruction usually learn a discrete mapping from RGB images to a number of spectral bands. However, this modeling strategy…”
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    Journal Article
  18. 18

    Generalized Lightness Adaptation with Channel Selective Normalization by Yao, Mingde, Huang, Jie, Jin, Xin, Xu, Ruikang, Zhou, Shenglong, Zhou, Man, Xiong, Zhiwei

    Published 26-08-2023
    “…Lightness adaptation is vital to the success of image processing to avoid unexpected visual deterioration, which covers multiple aspects, e.g., low-light image…”
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    Journal Article
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    Machine Learning Boosted Entropy-Engineered Synthesis of CuCo Nanometric Solid Solution Alloys for Near-100% Nitrate-to-Ammonia Selectivity by Hu, Yao, Lan, Haihui, Hu, Bo, Gong, Jiaxuan, Wang, Donghui, Zhang, Wen-Da, Yan, Mo, Xia, Huicong, Yao, Mingde, Du, Mingliang

    Published 31-07-2024
    “…Nanometric solid solution alloys are utilized in a broad range of fields, including catalysis, energy storage, medical application, and sensor technology…”
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    Journal Article