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researcher

Ayoung Kim

17 papers hereh-index 385.7k citations118 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author16

Across the 17 of 17 papers where every author was matched, so the position is known.

fields
  • cs.RO13
  • cs.CV4
same name
  • Ayoung Kim — 26 papers, h 8
  • Ayoung Kim — 7 papers, h 2
  • Ayoung Kim — 6 papers, h 1
  • Ayoung Kim — 5 papers, h 1
  • Ayoung Kim — 2 papers, h 1
  • Ayoung Kim — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182024
most citedDeepLO: Geometry-Aware Deep LiDAR Odometry

27 citations · 48 across the 11 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2023

TRansPose: Large-Scale Multispectral Dataset for Transparent Object

Jeongyun Kim, Myung-Hwan Jeon, Sangwoo Jung +4

Transparent objects are encountered frequently in our daily lives, yet recognizing them poses challenges for conventional vision sensors due to their unique material properties, no…

cs.CV2020

Balanced Depth Completion between Dense Depth Inference and Sparse Range Measurements via KISS-GP

Sungho Yoon, Ayoung Kim

Estimating a dense and accurate depth map is the key requirement for autonomous driving and robotics. Recent advances in deep learning have allowed depth estimation in full resolut…

cs.CV2020★ 2 cited

PrimA6D: Rotational Primitive Reconstruction for Enhanced and Robust 6D Pose Estimation

Myung-Hwan Jeon, Ayoung Kim

In this paper, we introduce a rotational primitive prediction based 6D object pose estimation using a single image as an input. We solve for the 6D object pose of a known object re…

cs.CV2018

Generic Camera Attribute Control using Bayesian Optimization

Joowan Kim, Younggun Cho, Ayoung Kim

Cameras are the most widely exploited sensor in both robotics and computer vision communities. Despite their popularity, two dominant attributes (i.e., gain and exposure time) have…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.