Software Engineer (Swift, Objective-C, Ruby on Rails, Golang, OpenCV, C++, Perl).
Currently working at Wantedly, Inc. in Japan.
Providing Better Feedback in Real-time Object Detection Apps at try! Swift Tokyo 2017
What can we achieve using Core ML and Vision framework
Wantedly People Scanning Screen
Value Types in WWDC16 at WWDC16 meetup
Goto S., Aoki, T. (2014). Violent Scenes Detection based on Automatically-generated Mid-level Violent Concepts, In: 19th Computer Vision Winter Workshop Zuzana K´ukelov´a and Jan Heller (eds.) KÇrtiny, Czech Republic, February 3–5, 2014.
Goto S, Aoki T (2014) Violent scenes detection using mid-level violence clustering. Computer Science.
CSCP. pp. 283296.
S. Goto, T. Aoki, "TUDCL at MediaEval 2013 Violent Scenes Detection: Training with Multimodal Features by MKL", Working Notes Proc. , 2013.
A study on high-robust SIFT features using depth information, 2011.