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He received the Ph.D. of Information Science from Nagoya University, Japan, in March 2017, respectively. At present, he belongs to the Department of Information Sciences in Tokyo University of Science as an Assistant Professor. His main interests are the multi-view 3D image quality, 3DCG, visible digital watermarking, color image processing, medical imaging, and texture analysis.
To propose optimal design of coded image quality assessment of multi-view and super-resolution images based on deep learning (Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), etc...).