shingt (Shinichi Goto)

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

Blog

Works

Mercari: The Selling App

Wantedly People

Wantedly Student

Presentations

Providing Better Feedback in Real-time Object Detection Apps at try! Swift Tokyo 2017

WWDC18 ML Overview at WWDC 2018 After Party

Core ML 🏃 iOS Engineer at Tokyo iOS Meetup

What can we achieve using Core ML and Vision framework at 2017/06/30 WWDC - Developer's Living

Wantedly People Scanning Screen Inside

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.