Year 2020

Air Keyboard based on Hand Pose Recognition
Yanjun ZHOU, Bachelor Thesis

We propose a combination of 3 deep learning models to estimate the key which you want to press based on the hand poses which is taken with one RGB camera.

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Year 2019

Problem Selection for Efficient Studying
Motoki IWAHARA, Bachelor Thesis

We proposed a method for learning efficiently when studying mathematics. Focusing on the dependency of the problem, we measured the efficiency of problem selection.

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Color Filling using Deep Learning
Naoya MINAKUCHI, Bachelor Thesis

I worked on the experiment that creators can easily complete incomplete coloring which occurs while painting by deep learning.

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I developed Neural Networks for airfoil estimation, and the NN performed 1000x faster than conventional analysis. In addition, I developed web interface of the NN for airplane novices.

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I worked on the experiment that the model would be able to generate line image of characters from its illustration automatically using deep learning. Adding to typical loss function, I used 'perceptual loss' to raise accuracy of the model.

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