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20192021
most citedRDIS: Random Drop Imputation with Self-Training for Incomplete Time Series Data

16 citations · 20 across the 8 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.HC2021

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…

cs.CV2021★ 1 cited

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…

cs.CV2021★ 1 cited

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…

cs.CV2021★ 1 cited

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…

cs.CV2021

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…