shingt (Shinichi Goto)

Software Engineer (Swift, Objective-C, Ruby on Rails, Golang, OpenCV, C++, Perl).
Currently working at Mercari, Inc. in Japan.

Blog

shingt blog

Works

Wantedly People

Wantedly Visit

Wantedly Student

Tonica

Presentations

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

Publications

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. [3], 2013.

A study on high-robust SIFT features using depth information, 2011.