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