Showing 1 - 20 results of 113 for search '"guide"', query time: 0.12s Refine Results
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    Keyword-guided neural conversational model by Zhong, Peixiang, Liu, Yong, Wang, Hao, Miao, Chunyan

    Published 2021
    “…In this paper, we assume that human conversations are grounded on commonsense and propose a keyword-guided neural conversational model that can leverage external commonsense knowledge graphs (CKG) for both keyword transition and response retrieval. …”
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    Conference Paper
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    Optofluidics: Guiding the Nanoparticles and Biomolecules with Light by Chin, Lip Ket, Shi, Yu Zhi, Zhao, H. T., Liu, Patricia Yang, Yap, Peng Huat, Wang, K., Wang, Gang, Ser, Wee, Liu, Ai Qun, Liedberg, Bo

    Published 2016
    “…Several optofluidic components and devices have been demonstrated in the last 10 years, leading to its applications in guiding nanoparticles and biomolecules in the microchannel…”
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    Conference Paper
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    Human-guided safe and efficient trajectory replanning for unmanned aerial vehicles by Zhang, Zezhong, Chen, Hao, Lye, Sun Woh, Lv, Chen

    Published 2023
    “…Therefore, this work uses the intelligence of human users in perception and decision-making and proposes a human-guided trajectory replanning (HTP) system for the safe and efficient flight operation of quadrotors. …”
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    Conference Paper
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    A fast adaptive guided filtering algorithm for light field depth interpolation by Chen, Jie, Chau, Lap-Pui

    Published 2015
    “…In this paper we proposed an adaptive guided filtering (AGF) algorithm to get an optimized output disparity/depth map. …”
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    Conference Paper
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    Salience guided depth calibration for perceptually optimized compressive light field 3D display by Wang, Shizheng, Liao, Wenjuan, Surman, Phil, Tu, Zhigang, Zheng, Yuanjin, Yuan, Junsong

    Published 2020
    “…Considering this disadvantage, our paper incorporates a salience guided depth optimization over a limited display range to calibrate the displayed depth and present the maximum area of salience region for multi-layer light field display. …”
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    Conference Paper
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    SGDNet : an end-to-end saliency-guided deep neural network for no-reference image quality assessment by Yang, Sheng, Jiang, Qiuping, Lin, Weisi, Wang, Yongtao

    Published 2020
    “…We propose an end-to-end saliency-guided deep neural network (SGDNet) for no-reference image quality assessment (NR-IQA). …”
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    Conference Paper
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