Projects

Screen Shot 0029-11-18 at 1.10.54

Generative Model Demo

条件付きオートエンコーダによる数字・ひらがな生成

http://bacchus.ht.sfc.keio.ac.jp/mnistcvae

Screen Shot 0029-11-18 at 1.12.02

Generating HAIKU Demo

条件付き変分オートエンコーダを用いた俳句生成

俳句は, 想いや情景などを定型で詠み込む非常に奥深い日本文学である.本研究では変分オートエンコーダによる言語モデルを用い,俳句の生成を試みる.その際に俳句の特徴の一つである17音という音数に対応するため,俳句をかな表記で扱いLSTM構造を採用する.また季語による季節表現を生成する俳句に反映させるため,言語モデルの条件として季語を入力する.

デモ

front_REC_170511_104935_10

Road Marking Blur Detection Demo

Can we inspect the road condition at a low cost? City infrastructures, such as roads are very important for citizens to their city lives. Roads require constant inspection and repair due to deterioration, but it is expensive to do so with manual labor. Meanwhile, there are official city vehicles, especially garbage trucks that run through the entire area of a city every day and have cameras to record their driving. When we use these cameras, we can watch roads conditions anytime, anywhere. In our study, we focus on these cameras and attempt detecting the road damage, such as road marking blur. To achieve our goal, we explore the new system in this paper. This system adopts the object detection approach that is end-to-end learning and based on deep neural networks, which propose the blur region candidate and detect whether the road markings are blurred or not all at once.

Screen Shot 0029-11-19 at 1.41.33

Awarespace

Demo Movie

Coming sooner or later