Sahng-Min Yoo — accepted AI-conference papers

2021

ChangeSim: Towards End-to-End Online Scene Change Detection in Industrial Indoor Environments

Jin-Man Park, Jae-Hyuk Jang, Sahng-Min Yoo, Sun-Kyung Lee, Ue-Hwan Kim, Jong-Hwan Kim

IROS 2021poster

We present a challenging dataset, ChangeSim, aimed at online scene change detection (SCD) and more. The data is collected in photo-realistic simulation environments with the presence of environmental non-targeted variations, such as air turbidity and light condition changes, as well as targeted obje…

Cited by 35 Source ↗code ↗Scholar ↗

2021

Type Anywhere You Want: An Introduction to Invisible Mobile Keyboard

Sahng-Min Yoo, Ue-Hwan Kim, Yewon Hwang, Jong-Hwan Kim

IJCAI 2021poster

Contemporary soft keyboards possess limitations: the lack of physical feedback results in an increase of typos, and the interface of soft keyboards degrades the utility of the screen. To overcome these limitations, we propose an Invisible Mobile Keyboard (IMK), which lets users freely type on the de…

Cited by 2 Source ↗PDF ↗code ↗Scholar ↗