Chao-Tsung Huang, Associate Professor
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AI Research and Outline:
The main research direction is two, one is the high-performance low-power processor chip of the convolutional neural network, and is used in image vision applications, such as image super-resolution, image denoising, and object detection; second, multiple LCD Depth estimation, denoising, and immersive rendering of the light field.
AI Research Papers (Please see 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.