1 citations · 4 across the 6 of their papers we have counts for
12 papers
Self-supervised 3D Object Detection from Monocular Pseudo-LiDAR
Curie Kim, Ue-Hwan Kim, Jong-Hwan Kim
There have been attempts to detect 3D objects by fusion of stereo camera images and LiDAR sensor data or using LiDAR for pre-training and only monocular images for testing, but the…
A Dual-Cycled Cross-View Transformer Network for Unified Road Layout Estimation and 3D Object Detection in the Bird's-Eye-View
Curie Kim, Ue-Hwan Kim
The bird's-eye-view (BEV) representation allows robust learning of multiple tasks for autonomous driving including road layout estimation and 3D object detection. However, contempo…
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…
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…