16 citations · 20 across the 8 of their papers we have counts for
8 papers
Type Anywhere You Want: An Introduction to Invisible Mobile Keyboard
Sahng-Min Yoo, Ue-Hwan Kim, Yewon Hwang +1
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 scre…
Writing in The Air: Unconstrained Text Recognition from Finger Movement Using Spatio-Temporal Convolution
Ue-Hwan Kim, Yewon Hwang, Sun-Kyung Lee +1
In this paper, we introduce a new benchmark dataset for the challenging writing in the air (WiTA) task -- an elaborate task bridging vision and NLP. WiTA implements an intuitive an…
GSECnet: Ground Segmentation of Point Clouds for Edge Computing
Dong He, Jie Cheng, Jong-Hwan Kim
Ground segmentation of point clouds remains challenging because of the sparse and unordered data structure. This paper proposes the GSECnet - Ground Segmentation network for Edge C…
Revisiting Self-Supervised Monocular Depth Estimation
Ue-Hwan Kim, Jong-Hwan Kim
Self-supervised learning of depth map prediction and motion estimation from monocular video sequences is of vital importance -- since it realizes a broad range of tasks in robotics…
ChangeSim: Towards End-to-End Online Scene Change Detection in Industrial Indoor Environments
Jin-Man Park, Jae-Hyuk Jang, Sahng-Min Yoo +3
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 presen…
RDIS: Random Drop Imputation with Self-Training for Incomplete Time Series Data
Tae-Min Choi, Ji-Su Kang, Jong-Hwan Kim
Time-series data with missing values are commonly encountered in many fields, such as healthcare, meteorology, and robotics. The imputation aims to fill the missing values with val…
s-DRN: Stabilized Developmental Resonance Network
In-Ug Yoon, Ue-Hwan Kim, Jong-Hwan
Online incremental clustering of sequentially incoming data without prior knowledge suffers from changing cluster numbers and tends to fall into local extrema according to given da…
SimVODIS: Simultaneous Visual Odometry, Object Detection, and Instance Segmentation
Ue-Hwan Kim, Se-Ho Kim, Jong-Hwan Kim
Intelligent agents need to understand the surrounding environment to provide meaningful services to or interact intelligently with humans. The agents should perceive geometric feat…