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researcher

Doyeon Kim

13 papers hereh-index 191.4k citations76 works total

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

author position
  • first author4
  • middle author8
  • last author1

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • astro-ph.GA2
  • physics.optics2
  • astro-ph.CO1
  • cs.CL1
  • cs.GR1
same name
  • Doyeon Kim — 10 papers, h 7
  • Doyeon Kim — 4 papers, h 4
  • Doyeon Kim — 2 papers, h 5
  • Doyeon Kim — 2 papers, h 2
  • Doyeon Kim — 1 paper, h 2
  • Doyeon Kim — 1 paper, h 0

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
20162023
most citedAn Improved Model of Diffuse Galactic Radio Emission from 10 MHz to 5 THz

199 citations · 275 across the 13 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2023

Context-Preserving Two-Stage Video Domain Translation for Portrait Stylization

Doyeon Kim, Eunji Ko, Hyunsu Kim +5

Portrait stylization, which translates a real human face image into an artistically stylized image, has attracted considerable interest and many prior works have shown impressive q…

cs.CV2021★ 2 cited

TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection

Beomyoung Kim, Janghyeon Lee, Sihaeng Lee +2

We present a novel approach for oriented object detection, named TricubeNet, which localizes oriented objects using visual cues (i.e., heatmap) instead of oriented box offsets re…

cs.CV2020

TiVGAN: Text to Image to Video Generation with Step-by-Step Evolutionary Generator

Doyeon Kim, Donggyu Joo, Junmo Kim

Advances in technology have led to the development of methods that can create desired visual multimedia. In particular, image generation using deep learning has been extensively st…

cs.CV2018

Generating a Fusion Image: One's Identity and Another's Shape

Donggyu Joo, Doyeon Kim, Junmo Kim

Generating a novel image by manipulating two input images is an interesting research problem in the study of generative adversarial networks (GANs). We propose a new GAN-based netw…

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