黃朝宗副教授
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AI研究方向及摘要:
主要研究方向有二，一是卷積神經網路之高效能低功耗處理器晶片，並運用在影像視覺應用上，如影像超解析、影像去噪、與物體偵測等；二是多鏡頭光場之深度估計、去噪、與擬真渲染成像。
AI相關發表論文 (詳見 http://www.ee.nthu.edu.tw/chaotsung/publications.html):
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C.-T. Huang, "Robust Pseudo Random Fields for Light-Field Stereo Matching," in IEEE International Conference on Computer Vision (ICCV), 2017. (oral presentation)
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C.-T. Huang, "Bayesian Inference for Neighborhood Filters with Application in Denoising," IEEE Transactions on Image Processing, vol. 24, no. 11, pp4299-4311, Nov 2015.
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C.-T. Huang, "Bayesian Inference for Neighborhood Filters with Application in Denoising," in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.